[Paragraph-level] PMCID: PMC4675689 Section: RESULTS PassageIndex: 7

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the D835H mutation's resistance to type II inhibitors, indicating a correlation with treatment response and sensitivity to specific therapies. Functional: The passage describes how the D835H mutation alters the binding mode and hydrogen bond formation, indicating a change in molecular function related to inhibitor interaction.

Gene→Variant (gene-first): 2322:D835H

Genes: 2322

Variants: D835H

[Paragraph-level] PMCID: PMC4675689 Section: RESULTS PassageIndex: 5

Evidence Type(s): Functional, Predictive

Justification: Functional: The passage discusses how the D835E/N mutations alter molecular interactions, specifically the formation of hydrogen bonds and the conservation of the alpha-helix structure, which affects inhibitor binding. Predictive: The passage indicates that the D835E/N variants are associated with sensitivity to type II inhibitors, suggesting a correlation with treatment response.

Gene→Variant (gene-first): 2322:D835 2322:D835E/N

Genes: 2322

Variants: D835 D835E/N

[Paragraph-level] PMCID: PMC4675689 Section: RESULTS PassageIndex: 4

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the correlation of D835 mutations with resistance to type II inhibitors, indicating a relationship between the variant and treatment response. Functional: The passage describes the impact of D835 mutations on the short alpha-helix and its potential effect on the drug-binding site, suggesting an alteration in molecular function related to drug interaction.

Gene→Variant (gene-first): 2322:D835

Genes: 2322

Variants: D835

[Paragraph-level] PMCID: PMC4675689 Section: RESULTS PassageIndex: 2

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how various D835 substitutions correlate with resistance to FLT3 inhibitors, indicating their predictive value regarding treatment response. Oncogenic: The D835 mutations are reported to cause resistance in patients, suggesting that these somatic variants contribute to tumor development or progression.

Gene→Variant (gene-first): 2322:D835 2322:D835A/E 2322:D835H 2322:D835V/Y

Genes: 2322

Variants: D835 D835A/E D835H D835V/Y

[Paragraph-level] PMCID: PMC8077124 Section: ABSTRACT PassageIndex: 10

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The variant p.K656E is described as an activating and transforming mutation, indicating its role in tumor development or progression. Predictive: The variant p.V561M is mentioned as imparting resistance to FGFR inhibitors, suggesting its correlation with treatment response.

Gene→Variant (gene-first): 2260:p.K656E 2260:p.V561M

Genes: 2260

Variants: p.K656E p.V561M

[Paragraph-level] PMCID: PMC8077124 Section: ABSTRACT PassageIndex: 9

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the potential use of FGFR inhibitors in combination with other treatments, indicating a correlation with therapy response. Oncogenic: The mention of mutations in the context of a tumor suggests that the variants may contribute to tumor development or progression.

Gene→Variant (gene-first): 2260:p.K656E 2260:p.V561M

Genes: 2260

Variants: p.K656E p.V561M

[Paragraph-level] PMCID: PMC8077124 Section: ABSTRACT PassageIndex: 7

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The passage describes p.K656E as a known hotspot mutation that is activating and transforming, indicating its role in tumor development or progression. Predictive: The passage mentions that p.V561M is described as a gatekeeper mutation imparting resistance to FGFR inhibitors, which correlates with treatment response.

Gene→Variant (gene-first): 2260:p.K656E 2260:p.V561M

Genes: 2260

Variants: p.K656E p.V561M

[Paragraph-level] PMCID: PMC4741605 Section: RESULTS PassageIndex: 20

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of the patient to chemotherapy treatment and how the presence of the D835Y mutation correlates with the patient's relapse, indicating its potential role in therapeutic decisions. Oncogenic: The D835Y mutation is described as a mutation that contributes to the tumor's behavior, particularly in the context of the patient's relapse and the increase in the mutated clone's percentage.

Gene→Variant (gene-first): 2322:D835Y

Genes: 2322

Variants: D835Y

[Paragraph-level] PMCID: PMC4741605 Section: RESULTS PassageIndex: 19

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the resistance of the D835Y variant to conventional induction chemotherapy and indicates that the treatment successfully inhibited the D835Y mutated clone, suggesting a correlation with treatment response. Oncogenic: The D835Y variant is mentioned in the context of tumor progression and its behavior in response to treatment, indicating its role in tumor development or progression.

Gene→Variant (gene-first): 2322:D835Y

Genes: 2322

Variants: D835Y

[Paragraph-level] PMCID: PMC4741605 Section: RESULTS PassageIndex: 18

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage states that the mutations D839G and D835H are able to confer resistance to Sorafenib treatment, indicating a correlation between these variants and treatment response. Oncogenic: The presence of the D839G and D835H mutations is associated with the evolution of the FLT3 ITD+ clone and suggests a role in tumor development or progression, particularly in the context of acute myeloid leukemia (AML).

Gene→Variant (gene-first): 2322:D835H 2322:D839G

Genes: 2322

Variants: D835H D839G

[Paragraph-level] PMCID: PMC4741605 Section: RESULTS PassageIndex: 17

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the patient's response to the FLT3 inhibitor AC220-002, indicating that the presence of the D835Y and D839G variants may correlate with the patient's treatment response. Oncogenic: The D835Y and D839G variants are mentioned in the context of their abundance in the patient's sample, suggesting their potential role in tumor development or progression as part of the FLT3 mutation landscape.

Gene→Variant (gene-first): 2322:D835Y 2322:D839G

Genes: 2322

Variants: D835Y D839G

[Paragraph-level] PMCID: PMC9398166 Section: ABSTRACT PassageIndex: 2

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the G1202R and L1196M mutations are major resistance mechanisms to ALK inhibitors, indicating that these variants correlate with resistance to specific therapies. Oncogenic: The G1202R and L1196M mutations are described as resistance mechanisms that contribute to tumor progression, particularly in the context of ALK inhibitors, suggesting their role in oncogenesis.

Gene→Variant (gene-first): 238:G1202R 238:L1196M

Genes: 238

Variants: G1202R L1196M

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 12

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the correlation of TPX-0131 treatment with tumor growth inhibition and suppression of ALK phosphorylation, indicating that the G1202R, L1196M, and L1198F variants are associated with resistance to therapy and response to treatment. Oncogenic: The variants G1202R, L1196M, and L1198F are described in the context of ALK resistance mutations, suggesting their role in tumor development or progression as they are associated with the EML4-ALK fusion in a cancer model.

Gene→Variant (gene-first): 238:G1202R 238:L1196M 238:L1198F

Genes: 238

Variants: G1202R L1196M L1198F

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 11

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of tumor models harboring specific ALK mutations (G1202R, L1196M, L1198F) to the therapy TPX-0131, indicating a correlation between the variants and treatment efficacy. Oncogenic: The variants G1202R, L1196M, and L1198F are described in the context of tumor models, suggesting that they contribute to tumor development or progression as part of the EML4-ALK fusion.

Gene→Variant (gene-first): 238:G1202R 238:L1196M 238:L1198F

Genes: 238

Variants: G1202R L1196M L1198F

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the variants G1202R, L1196M, and L1198F correlate with the response to the ALK inhibitor TPX-0131, indicating their role in resistance to therapy. Oncogenic: The variants mentioned are part of ALK oncogenic fusion proteins, which are implicated in tumor development and progression, as evidenced by their evaluation in assays measuring ALK autophosphorylation.

Gene→Variant (gene-first): 238:G1202R 238:L1196M 238:L1198 238:L1198F

Genes: 238

Variants: G1202R L1196M L1198 L1198F

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 8

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of the ALK G1202R/G1269A/L1204V triple mutation to the TPX-0131 inhibitor, indicating a correlation with treatment sensitivity. Oncogenic: The mention of the EML4-ALK compound mutations, including G1202R, G1269A, and L1204V, in the context of cell proliferation assays suggests that these somatic variants contribute to tumor development or progression.

Gene→Variant (gene-first): 238:G1202R 238:G1269A 238:L1204V

Genes: 238

Variants: G1202R G1269A L1204V

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 7

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the potency of TPX-0131 against various ALK mutations, indicating that the variant mutations correlate with the response to the therapy, specifically highlighting the differences in inhibition potency against different mutations. Oncogenic: The passage describes the use of engineered Ba/F3 cells expressing oncogenic EML4-ALK variants, indicating that these mutations contribute to tumor development or progression, as they are associated with resistance to ALK inhibitors.

Gene→Variant (gene-first): 238:C1156Y 238:G1202R 238:G1269A 238:G1269S 238:I1171N 238:I1171N/S 238:L1196M 238:L1198F 238:L1204V 238:S/T

Genes: 238

Variants: C1156Y G1202R G1269A G1269S I1171N I1171N/S L1196M L1198F L1204V S/T

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 5

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the potency of TPX-0131 against various ALK mutations, indicating its effectiveness as a therapy for these specific variants, which correlates with treatment response. Functional: The passage describes the biochemical characterization of TPX-0131's inhibition of ALK mutations, focusing on its molecular properties and binding interactions that alter the function of the ALK protein.

Gene→Variant (gene-first): 238:C1156Y 238:D1203N 238:E1210K 238:F1174C 238:F1174L 238:F1174S 238:F1245C 238:G1202 238:G1202R 238:G1269A 238:G1269S 238:I1171N 238:L1152P 238:L1152R 238:L1196M 238:L1198F 238:R1275Q 238:S1206C 238:S1206R 238:T1151-L1152 insT 238:T1151M 238:V1180L

Genes: 238

Variants: C1156Y D1203N E1210K F1174C F1174L F1174S F1245C G1202 G1202R G1269A G1269S I1171N L1152P L1152R L1196M L1198F R1275Q S1206C S1206R T1151-L1152 insT T1151M V1180L

[Paragraph-level] PMCID: PMC9398166 Section: RESULTS PassageIndex: 3

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses resistance mutations, including G1202, in the context of second-generation ALK inhibitors and their reduced potency, indicating a correlation with treatment response. Oncogenic: The mention of G1202 as a resistance mutation suggests that it contributes to tumor development or progression by obstructing binding and reducing the efficacy of ALK inhibitors.

Gene→Variant (gene-first): 238:G1202

Genes: 238

Variants: G1202

[Paragraph-level] PMCID: PMC5820258 Section: RESULTS PassageIndex: 16

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the BRAFV600E variant correlates with venetoclax resistance, indicating a relationship between the variant and treatment response. Oncogenic: The passage describes the overexpression of the mutated BRAF (p.V600E) in a cell line, which is associated with increased resistance to venetoclax, suggesting that this somatic variant contributes to tumor progression.

Gene→Variant (gene-first): 673:BRAFV600E 673:p.V600E 7157:p.W110*

Genes: 673 7157

Variants: BRAFV600E p.V600E p.W110*

[Paragraph-level] PMCID: PMC5820258 Section: RESULTS PassageIndex: 14

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the SF3B1 mutations in the context of venetoclax exposure and resistance, indicating a correlation between these variants and treatment response. Oncogenic: The SF3B1 mutations are described as evolving during treatment and being selected for during venetoclax therapy, suggesting their role in tumor development or progression.

Gene→Variant (gene-first): 23451:c.1996A > C 23451:c.1997A > C 23451:p.K666Q 23451:p.K666T

Genes: 23451

Variants: c.1996A > C c.1997A > C p.K666Q p.K666T

[Paragraph-level] PMCID: PMC5820258 Section: RESULTS PassageIndex: 13

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the selection of specific mutations (including p.K601E and p.Q547fs) during venetoclax therapy, indicating a correlation with treatment response. Oncogenic: The mutations p.K601E and p.S321fs are described as contributing to tumor development, as they are retained in the clonal evolution of the cancer during relapse.

Gene→Variant (gene-first): 673:p.K601E 330:p.Q547fs 58508:p.S321fs

Genes: 673 330 58508

Variants: p.K601E p.Q547fs p.S321fs

[Paragraph-level] PMCID: PMC5820258 Section: RESULTS PassageIndex: 12

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the involvement of BTG1 mutations (p.E46K and p.Q36H) in the resistance to venetoclax treatment, indicating a correlation between these variants and treatment response. Oncogenic: The passage describes the BTG1 mutations as being involved in the clonal evolution towards therapy resistance, suggesting that these somatic variants contribute to tumor development or progression.

Gene→Variant (gene-first): 7157:p.E46K 694:p.Q36H

Genes: 7157 694

Variants: p.E46K p.Q36H

[Paragraph-level] PMCID: PMC5820258 Section: RESULTS PassageIndex: 8

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The passage states that the BRAF (p.K601E) mutation was shown to be oncogenic and can be targeted by MEK inhibitors, indicating its role in tumor development or progression. Predictive: The mention of patients responding to venetoclax therapy, even with the presence of the BRAF mutation, suggests a correlation with treatment response, which aligns with predictive evidence.

Gene→Variant (gene-first): 673:p.K601E

Genes: 673

Variants: p.K601E

[Paragraph-level] PMCID: PMC10527017 Section: RESULTS PassageIndex: 18

Evidence Type(s): Functional, Predictive

Justification: Functional: The passage discusses the phosphorylation levels of proteins in relation to the HER2V777L mutation, indicating that the variant alters molecular function, specifically in signaling pathways related to cancer. Predictive: The mention of increased phosphorylation of annexin A2 being associated with drug resistance suggests a correlation between the HER2V777L variant and resistance to therapy.

Gene→Variant (gene-first): 2064:V777L

Genes: 2064

Variants: V777L

[Paragraph-level] PMCID: PMC10527017 Section: RESULTS PassageIndex: 15

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of the WHIM51 PDX model to the drug combination of neratinib plus T-DXd, indicating that the G776insYVMA and V777L mutations correlate with a significant tumor regression in response to this therapy. Oncogenic: The G776insYVMA and V777L mutations are associated with tumor regression in the context of breast cancer, suggesting that these somatic variants contribute to tumor development or progression as evidenced by their behavior in the experimental model.

Gene→Variant (gene-first): 2064:G776insYVMA 2064:V777L

Genes: 2064

Variants: G776insYVMA V777L

[Paragraph-level] PMCID: PMC5792548 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Diagnostic, Oncogenic

Justification: Predictive: The passage discusses the EGFR T790M mutation in the context of treatment response to osimeritinib and the development of resistance, indicating a correlation with therapy outcomes. Diagnostic: The passage states that the EGFR T790M mutation is used to identify patients with non-small cell lung cancer who are eligible for treatment with osimeritinib, thus classifying it as a diagnostic marker. Oncogenic: The EGFR T790M mutation is described as contributing to resistance in lung cancer, which implies its role in tumor progression and development.

Gene→Variant (gene-first): 1956:T790M

Genes: 1956

Variants: T790M

[Paragraph-level] PMCID: PMC7294133 Section: RESULTS PassageIndex: 16

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage indicates that treatment with TK inhibitors has a positive effect on the phenotype induced by the EPHB4-V871I variant, suggesting a correlation with response to therapy. Oncogenic: The mention of the EPHB4-V871I variant inducing a phenotype in neuroblastoma (NB) cell lines implies that it contributes to tumor development or progression.

Gene→Variant (gene-first): 2050:V871I

Genes: 2050

Variants: V871I

[Paragraph-level] PMCID: PMC11253285 Section: RESULTS PassageIndex: 18

Evidence Type(s): Predictive, Prognostic

Justification: Predictive: The passage discusses the response to therapy involving SRA737 and PARP inhibitors (PARPi), indicating a correlation with treatment response in specific PDX models. Prognostic: The mention of a trending increase in survival with combination therapy compared to monotherapy suggests a correlation with disease outcome, although it did not reach statistical significance.

Gene→Variant (gene-first): 142:S4D

Genes: 142

Variants: S4D

[Paragraph-level] PMCID: PMC9441062 Section: RESULTS PassageIndex: 14

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the variants T790M, C797S/G, and L718V/Q are associated with resistance mechanisms to EGFR-TKIs, indicating their role in treatment response. Oncogenic: The variants mentioned are described as second-site mutations that contribute to resistance in the context of tumor development and progression in NSCLC.

Gene→Variant (gene-first): 1956:C797S/G 1956:L718V/Q 1956:T790M

Genes: 1956

Variants: C797S/G L718V/Q T790M

[Paragraph-level] PMCID: PMC5355930 Section: ABSTRACT PassageIndex: 6

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the correlation between PIK3CA mutations (H1047R, E545K, E542K) and the response to the therapy everolimus, indicating that these variants are associated with treatment outcomes. Oncogenic: The mention of PIK3CA mutations in the context of tumor analysis suggests that these somatic variants contribute to tumor development or progression, particularly in relation to their response to therapy.

Gene→Variant (gene-first): 5290:E542K 5290:E545K 5290:H1047R

Genes: 5290

Variants: E542K E545K H1047R

[Paragraph-level] PMCID: PMC5355930 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive, Prognostic

Justification: Predictive: The passage suggests that patients with E545K/E542K mutations had shorter progression-free survival (PFS) and overall survival, indicating a potential role of these mutations in resistance to hormone therapy. Prognostic: The mention of shorter PFS and overall survival in patients with the E545K/E542K mutations indicates a correlation with disease outcome independent of therapy.

Gene→Variant (gene-first): 5290:E542K 5290:E545K

Genes: 5290

Variants: E542K E545K

[Paragraph-level] PMCID: PMC5355930 Section: RESULTS PassageIndex: 8

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the correlation between PIK3CA mutations (H1047R, E545K, E542K) and the efficacy of everolimus, indicating that these variants are associated with prolonged progression-free survival (PFS) in patients treated with this therapy. Oncogenic: The mention of PIK3CA mutations in the context of their role in tumor development and the efficacy of a cancer treatment suggests that these somatic variants contribute to tumor progression.

Gene→Variant (gene-first): 5290:E542K 5290:E545K 5290:H1047R

Genes: 5290

Variants: E542K E545K H1047R

[Paragraph-level] PMCID: PMC5355930 Section: RESULTS PassageIndex: 3

Evidence Type(s): Diagnostic, Predictive

Justification: Diagnostic: The passage discusses the prevalence of PIK3CA mutations, including specific variants, in a patient population, indicating their association with the disease context. Predictive: The mention of higher prevalence of PIK3CA mutations in the everolimus arm compared to the placebo arm suggests a correlation with treatment response, indicating predictive value.

Gene→Variant (gene-first): 5290:E542K 5290:E545K 5290:H1047R

Genes: 5290

Variants: E542K E545K H1047R

[Paragraph-level] PMCID: PMC10618648 Section: RESULTS PassageIndex: 20

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The T733I mutation is associated with resistance to lapatinib and sensitivity to adavosertib, indicating its role in predicting treatment response. Oncogenic: The T733I mutation is described as weakly transforming, suggesting it contributes to tumor development or progression in the context of the PDX model.

Gene→Variant (gene-first): 2064:T733I

Genes: 2064

Variants: T733I

[Paragraph-level] PMCID: PMC7499606 Section: RESULTS PassageIndex: 18

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The TP53 Y220C missense mutation is described as a "deleterious somatic mutation," indicating its contribution to tumor development or progression. Predictive: The passage discusses the patient's response to various therapies, including PARP inhibitors and the M6620-carboplatin combination therapy, suggesting that the Y220C variant may correlate with treatment response.

Gene→Variant (gene-first): 7157:Y220C

Genes: 7157

Variants: Y220C

[Paragraph-level] PMCID: PMC2736831 Section: RESULTS PassageIndex: 10

Evidence Type(s): Predictive, Prognostic, Oncogenic

Justification: Predictive: The passage indicates that none of the patients with the BRAF V600E mutation responded to the treatment, suggesting a correlation between the variant and resistance to therapy. Prognostic: The passage reports that BRAF mutation is associated with significantly shorter overall survival (OS) and a trend towards shorter progression-free survival (PFS), indicating its impact on disease outcome independent of therapy. Oncogenic: The BRAF V600E mutation is described as a somatic variant that is part of the study population's tumor mutations, contributing to tumor development or progression.

Gene→Variant (gene-first): 673:V600E

Genes: 673

Variants: V600E

[Paragraph-level] PMCID: PMC5002925 Section: RESULTS PassageIndex: 3

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the treatment response to therapies such as trastuzumab and FOLFIRI, which are influenced by the presence of specific somatic mutations, indicating a correlation between the variants and treatment response. Oncogenic: The passage identifies somatic mutations in the tumors that are associated with tumor development and progression, particularly noting the likely activating mutation in the ERBB2 p.L755S variant.

Gene→Variant (gene-first): 673:c.1742A>G 2064:c.2264T>C 324:c.4285delC 673:p.Asn581Ser 324:p.Gln1429fs 2064:p.L755S 2064:p.Leu755Ser 673:p.N581S 324:p.Q1429fs

Genes: 673 2064 324

Variants: c.1742A>G c.2264T>C c.4285delC p.Asn581Ser p.Gln1429fs p.L755S p.Leu755Ser p.N581S p.Q1429fs

[Paragraph-level] PMCID: PMC10283448 Section: ABSTRACT PassageIndex: 2

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the high prevalence of the crizotinib-resistant ROS1-G2032R mutation and its implications for treatment response, indicating a correlation with resistance to therapy. Oncogenic: The mention of the ROS1-G2032R mutation in the context of crizotinib resistance suggests that it contributes to tumor progression, which aligns with the definition of an oncogenic variant.

Gene→Variant (gene-first): 6098:G2032R

Genes: 6098

Variants: G2032R

[Paragraph-level] PMCID: PMC7099049 Section: RESULTS PassageIndex: 9

Evidence Type(s): Prognostic, Predictive

Justification: Prognostic: The passage discusses the ability of a model to predict survival in HNSCC, indicating a correlation between the variant and disease outcome. Predictive: The mention of using NRG in a prediction model for HNSCC survival suggests a relationship with treatment response or sensitivity, aligning with predictive evidence.

Gene→Variant (gene-first): 2264:AUC from 0

Genes: 2264

Variants: AUC from 0

[Paragraph-level] PMCID: PMC1702556 Section: RESULTS PassageIndex: 17

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the association of the R108K variant with clinical responses to EGFR kinase inhibitors, indicating a correlation with treatment response. Oncogenic: The R108K variant is identified in gliomas, suggesting its potential role in tumor development or progression, particularly in the context of EGFR amplification.

Gene→Variant (gene-first): 1956:R108K

Genes: 1956

Variants: R108K

[Paragraph-level] PMCID: PMC1702556 Section: RESULTS PassageIndex: 16

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the presence of EGFR missense mutants, including L858R and L861Q, may sensitize transformed cells to EGFR kinase inhibitors, indicating a correlation with treatment response. Oncogenic: The identical missense mutations are described as having oncogenicity and playing a role in gliomagenesis, suggesting that these somatic variants contribute to tumor development.

Gene→Variant (gene-first): 1956:L858R 1956:L861Q 1956:T790M

Genes: 1956

Variants: L858R L861Q T790M

[Paragraph-level] PMCID: PMC4385014 Section: ABSTRACT PassageIndex: 4

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the sensitivity of NSCLC cell lines with specific EGFR mutations (L858R and T790M) to the anti-proliferative effect of erlotinib, indicating a correlation with treatment response. Oncogenic: The presence of the L858R and T790M mutations in the cell lines suggests that these somatic variants contribute to tumor development or progression, as they are associated with specific cancer cell lines.

Gene→Variant (gene-first): 1956:L858R 1956:T790M

Genes: 1956

Variants: L858R T790M

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 11

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of the tumor to the treatment with CHMFL-KIT-031, indicating a correlation between the V559D variant and the sensitivity to this specific therapy, as evidenced by tumor growth inhibition. Oncogenic: The V559D variant is implicated in tumor progression, as the passage describes its role in a mouse model where the variant is present and the tumor's response to treatment is evaluated.

Gene→Variant (gene-first): 3815:V559D

Genes: 3815

Variants: V559D

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 10

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The variant V559D is discussed in the context of tumor growth inhibition, indicating that it contributes to tumor development or progression in the specified cell model. Predictive: The mention of CHMFL-KIT-031 inhibiting tumor growth suggests a correlation between the V559D variant and response to this specific therapy.

Gene→Variant (gene-first): 3815:V559D

Genes: 3815

Variants: V559D

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the inhibitory effect of CHMFL-KIT-031 against the KIT V559D mutant, indicating a correlation with response to therapy, as evidenced by the IC50 values and selectivity over the wild-type KIT. Functional: The variant KIT V559D is shown to alter the molecular function by affecting the phosphorylation of specific sites and downstream mediators, demonstrating its role in biochemical activity as tested in various assays.

Gene→Variant (gene-first): 3815:V559D

Genes: 3815

Variants: V559D

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 8

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage indicates that CHMFL-KIT-031 selectively inhibits the KIT V559D mutant, suggesting a correlation with response to therapy. Oncogenic: The mention of the KIT V559D mutant in the context of selective inhibition implies that this somatic variant contributes to tumor development or progression.

Gene→Variant (gene-first): 3815:V559D

Genes: 3815

Variants: V559D

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 7

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the binding and selectivity of CHMFL-KIT-031 to the V559D, L576P, and A829P variants, indicating their potential response to therapy, particularly in the context of inhibitor selectivity. Functional: The results indicate that the variants (V559D, L576P, A829P) alter the binding characteristics of the compound CHMFL-KIT-031, suggesting a change in molecular function related to kinase activity.

Gene→Variant (gene-first): 3815:A829P 3815:L576P 3815:V559D

Genes: 3815

Variants: A829P L576P V559D

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 3

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of various KIT variants, including V559D, L576P, and others, to different therapies such as CHMFL-KIT-031 and Imatinib, indicating their correlation with treatment sensitivity and resistance. Oncogenic: The variants mentioned, particularly V559D and L576P, are described in the context of their role in transforming BaF3 cells, suggesting that they contribute to tumor development or progression.

Gene→Variant (gene-first): 3815:D816V 3815:L576P 3815:N822K 3815:T670I 3815:V559D 3815:V654A

Genes: 3815

Variants: D816V L576P N822K T670I V559D V654A

[Paragraph-level] PMCID: PMC5762309 Section: RESULTS PassageIndex: 2

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage indicates that CHMFL-KIT-031 selectively inhibits the proliferation of cells with the V559D variant, suggesting a correlation with response to this specific therapy. Oncogenic: The mention of the V559D variant in the context of inhibiting cell proliferation implies that it contributes to tumor development or progression, as it is associated with a specific cell line used in cancer research.

Gene→Variant (gene-first): 3815:V559D

Genes: 3815

Variants: V559D

[Paragraph-level] PMCID: PMC3923676 Section: RESULTS PassageIndex: 3

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The variant E384X in ERRFI1 is described as being overexpressed in a tumor, indicating its potential role in tumor development or progression. Predictive: The passage discusses the therapeutic relevance of FGFR2 fusions and their treatment with FGFR inhibitors, suggesting a correlation with response to therapy.

Gene→Variant (gene-first): 672:E384X

Genes: 672

Variants: E384X

[Paragraph-level] PMCID: PMC3923676 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the use of erlotinib, an EGFR kinase inhibitor, in a patient with the ERRFI1 E384X mutation, noting rapid and robust disease regression, indicating a correlation between the variant and response to therapy. Oncogenic: The E384X variant in ERRFI1 is described as a somatic mutation that inactivates a negative regulator of EGFR activation, suggesting its contribution to tumor development or progression.

Gene→Variant (gene-first): 672:E384X

Genes: 672

Variants: E384X

[Paragraph-level] PMCID: PMC7081042 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Diagnostic, Oncogenic

Justification: Predictive: The passage discusses how certain HER2 mutations, such as S310F, S310Y, R678Q, D769H, and I767M, correlate with favorable outcomes and good responses to anti-HER2 therapy, indicating their predictive value for treatment efficacy. Diagnostic: The passage mentions the identification of HER2 SNPs in HER2-positive breast cancer patients and their relationship with clinical outcomes, suggesting that these variants can be used to classify or define the disease subtype. Oncogenic: The passage indicates that somatic mutations in HER2 are linked to resistance to anti-HER2 therapy, suggesting that these mutations contribute to tumor development or progression.

Gene→Variant (gene-first): 2064:D769H 2064:D769Y 2064:I767M 1956:K753I 2064:L755S 2064:R678Q 2064:S310F 2064:S310Y 2064:V842I

Genes: 2064 1956

Variants: D769H D769Y I767M K753I L755S R678Q S310F S310Y V842I

[Paragraph-level] PMCID: PMC8078423 Section: ABSTRACT PassageIndex: 8

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage discusses the improved overall survival (OS), objective response rate (ORR), and progression-free survival associated with the treatment of encorafenib plus cetuximab in patients with BRAF V600E mCRC, indicating a correlation with therapy response. Diagnostic: The mention of BRAF V600E in the context of metastatic colorectal cancer (mCRC) suggests its role in defining or classifying a specific disease subtype, as it is associated with a particular treatment regimen.

Gene→Variant (gene-first): 673:V600E

Genes: 673

Variants: V600E

[Paragraph-level] PMCID: PMC8078423 Section: ABSTRACT PassageIndex: 4

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage discusses a trial involving patients with BRAF V600E-mutant mCRC and mentions endpoints related to overall survival (OS) and objective response rate (ORR), indicating a correlation with treatment response. Diagnostic: The mention of "BRAF V600E-mutant mCRC" implies that the variant is used to classify or define a specific subtype of cancer, which aligns with diagnostic evidence.

Gene→Variant (gene-first): 673:V600E

Genes: 673

Variants: V600E

[Paragraph-level] PMCID: PMC8078423 Section: ABSTRACT PassageIndex: 2

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage discusses the correlation of the BRAFV600E variant with improved overall survival and objective response rate in patients treated with specific therapies, indicating its predictive value for treatment response. Diagnostic: The mention of BRAFV600E in the context of metastatic colorectal cancer suggests its role in defining or classifying a specific subtype of the disease, supporting its use as a diagnostic marker.

Gene→Variant (gene-first): 673:BRAFV600E

Genes: 673

Variants: BRAFV600E

[Paragraph-level] PMCID: PMC9365372 Section: RESULTS PassageIndex: 13

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage discusses the overall response rate (ORR) and disease control rate (DCR) in patients with the T790M variant, indicating a correlation with treatment response to abivertinib. Diagnostic: The mention of T790M+ in the context of evaluating patient cohorts suggests that this variant is used to classify or define a specific group of patients for treatment assessment.

Gene→Variant (gene-first): 1956:T790M

Genes: 1956

Variants: T790M

[Paragraph-level] PMCID: PMC9365372 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive

Justification: Predictive: The passage discusses the response rates of patients with the T790M variant treated with specific doses of abivertinib, indicating a correlation between the variant and treatment response.

Gene→Variant (gene-first): 1956:T790M

Genes: 1956

Variants: T790M

[Paragraph-level] PMCID: PMC9365372 Section: RESULTS PassageIndex: 3

Evidence Type(s): Diagnostic, Predictive

Justification: Diagnostic: The passage indicates that T790M-negative status was a major reason for exclusion from the study, suggesting its role in defining eligibility for treatment in patients with NSCLC. Predictive: The mention of T790M-negative status as a reason for screening failure implies that the presence of this variant may correlate with resistance to the treatment being studied (abivertinib).

Gene→Variant (gene-first): 1956:T790M

Genes: 1956

Variants: T790M

[Paragraph-level] PMCID: PMC8040738 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Diagnostic, Oncogenic

Justification: Predictive: The passage discusses the use of combination targeted therapy with a selective BRAF inhibitor and MEK inhibitor for a patient with a BRAF mutation, indicating a correlation with treatment response. Diagnostic: The identification of BRAF alterations is mentioned as a means to assist clinicians in determining alternative targeted treatment strategies, suggesting its role in classifying or defining the tumor type. Oncogenic: The passage implies that the BRAF mutations contribute to tumor development or progression, as the patient has a ganglioglioma harboring a BRAF mutation.

Gene→Variant (gene-first): 673:V600E 673:p.T599dup 673:p.V600E

Genes: 673

Variants: V600E p.T599dup p.V600E

[Paragraph-level] PMCID: PMC8008494 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the sensitivity of specific BRCA2 variants to PARP inhibitors, indicating a correlation with response to therapy. Functional: The passage describes how the BRCA2 variants influence the ability to restore survival in mouse embryonic stem cells and their functional classification based on drug sensitivity assays.

Gene→Variant (gene-first): 675:c.8723T>G 675:c.8905G>A 675:p.Val2908Gly 675:p.Val2969Met

Genes: 675

Variants: c.8723T>G c.8905G>A p.Val2908Gly p.Val2969Met

[Paragraph-level] PMCID: PMC6791388 Section: RESULTS PassageIndex: 14

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses how increased phosphorylation of CREB at Ser133 may promote MEK inhibitor resistance, indicating a correlation with treatment response. Functional: The variant at Ser133 is described in the context of altering the phosphorylation state of CREB, which affects its molecular function and activity.

Gene→Variant (gene-first): 7157:S133 7157:Ser133 7157:Serine 133

Genes: 7157

Variants: S133 Ser133 Serine 133

[Paragraph-level] PMCID: PMC6547681 Section: ABSTRACT PassageIndex: 2

Evidence Type(s): Predictive, Functional

Justification: Predictive: The variant G101V is associated with drug resistance to venetoclax in patients, indicating a correlation with treatment response. Functional: The passage discusses the biochemical analyses of the G101V mutant, revealing how it alters the affinity of venetoclax, which relates to its molecular function.

Gene→Variant (gene-first): 596:G101V

Genes: 596

Variants: G101V

[Paragraph-level] PMCID: PMC6547681 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the emergence of the G101V mutation in patients failing therapy with venetoclax, indicating a correlation between the variant and resistance to this specific therapy. Functional: The passage describes how the G101V mutation alters the binding of venetoclax to BCL-2, indicating a change in molecular function related to drug resistance.

Gene→Variant (gene-first): 596:E152 596:E152A 596:G101V 596:V101

Genes: 596

Variants: E152 E152A G101V V101

[Paragraph-level] PMCID: PMC10183391 Section: RESULTS PassageIndex: 7

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage discusses the efficacy of osimertinib as a potential treatment for patients harboring the p.L755P mutation, indicating a correlation with response to therapy. Diagnostic: The mention of "patients harboring these mutations" suggests that the p.L755P variant is used to classify or define a specific group of patients, indicating its role in diagnosis.

Gene→Variant (gene-first): 2064:p.L755P

Genes: 2064

Variants: p.L755P

[Paragraph-level] PMCID: PMC10183391 Section: RESULTS PassageIndex: 5

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage indicates that the p.L755P mutation is associated with an effective response to the treatment with osimertinib in a patient with stage IV NSCLC. Diagnostic: The passage mentions that the patient harbors the p.L755P mutation, which is used to classify the patient's disease subtype (HER2 exon 19 mutation in NSCLC).

Gene→Variant (gene-first): 2064:p.L755P

Genes: 2064

Variants: p.L755P

[Paragraph-level] PMCID: PMC10183391 Section: RESULTS PassageIndex: 4

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the activity of Osimertinib against the p.L755P mutation, indicating a correlation with response to therapy. Oncogenic: The mention of the p.L755P mutation in the context of HER2 exon 19 aberrations suggests that it contributes to tumor development or progression, as it is associated with a specific cancer-related mutation.

Gene→Variant (gene-first): 2064:p.L755P

Genes: 2064

Variants: p.L755P

[Paragraph-level] PMCID: PMC10183391 Section: RESULTS PassageIndex: 2

Evidence Type(s): Predictive, Diagnostic

Justification: Predictive: The passage discusses a patient treated with osimertinib, indicating that the variant correlates with a response to this specific therapy. Diagnostic: The variant is described as being present in a patient with stage IV NSCLC, suggesting its role in defining or classifying the disease.

Gene→Variant (gene-first): 2064:c.2262_2264delinsTCC 2064:p.(L755P)

Genes: 2064

Variants: c.2262_2264delinsTCC p.(L755P)

[Paragraph-level] PMCID: PMC11551396 Section: ABSTRACT PassageIndex: 3

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the drug sensitivity and resistance of the exon 20 insertion variants, indicating their correlation with response to specific therapies, particularly EGFR tyrosine kinase inhibitors. Oncogenic: The passage describes somatic mutations in the EGFR gene, specifically the exon 20 insertion variants, which contribute to tumor development in non-small cell lung cancer.

Gene→Variant (gene-first): 1956:L858R 1956:N771insSVD

Genes: 1956

Variants: L858R N771insSVD

[Paragraph-level] PMCID: PMC2970593 Section: RESULTS PassageIndex: 3

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage states that the L858R mutation was found to increase sensitivity to the EGFR inhibitor, Erlotinib, indicating a correlation with treatment response. Oncogenic: All mutations mentioned in the passage, including C797Y, E734Q, E868G, L831H, L858R, T785A, W731L, and Y801H, are described as somatic mutations that contribute to tumor development, as they were identified in the tyrosine kinase domain of EGFR in cancer samples.

Gene→Variant (gene-first): 1956:C797Y 1956:E734Q 1956:E868G 1956:L831H 1956:L858R 1956:T785A 1956:W731L 1956:Y801H

Genes: 1956

Variants: C797Y E734Q E868G L831H L858R T785A W731L Y801H

[Paragraph-level] PMCID: PMC7612475 Section: RESULTS PassageIndex: 19

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the SF3B1K700E mutation can be therapeutically targeted, indicating a correlation with treatment response to etoposide and olaparib, which are specific therapies. Oncogenic: The SF3B1K700E mutation is implicated in tumor development, as the passage describes its role in creating an HR defect and its effects on tumor growth in xenograft models.

Gene→Variant (gene-first): 23451:K700E

Genes: 23451

Variants: K700E

[Paragraph-level] PMCID: PMC7612475 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Functional

Justification: Predictive: The K700E mutation in SF3B1 increases cellular sensitivity to ionising radiation and various chemotherapeutic agents, including PARP inhibitors, indicating a correlation with treatment response. Functional: The K700E mutation alters HR efficiency and induces unscheduled R-loop formation, replication fork stalling, and defective replication fork restart, demonstrating an impact on molecular function.

Gene→Variant (gene-first): 23451:K700E

Genes: 23451

Variants: K700E

[Paragraph-level] PMCID: PMC5613053 Section: ABSTRACT PassageIndex: 2

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the ability of gilteritinib to block mutated FLT3, including the D835Y and F691 mutations, and its correlation with improved survival in models of FLT3-driven AML, indicating a response to therapy. Oncogenic: The D835Y and F691 mutations in FLT3 are implicated in the pathogenesis of acute myeloid leukemia (AML), suggesting that these somatic variants contribute to tumor development or progression.

Gene→Variant (gene-first): 2322:D835Y 2322:F691

Genes: 2322

Variants: D835Y F691

[Paragraph-level] PMCID: PMC3973211 Section: RESULTS PassageIndex: 12

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the relationship between p53 mutations (including R175H, R248W, R273H, R282W) and resistance to chemotherapy, specifically noting that cells with these mutations showed higher viability and increased IC50 for various drugs, indicating a correlation with drug resistance. Oncogenic: The passage implies that the p53 mutations contribute to tumor behavior by affecting cell response to chemotherapy, suggesting their role in tumor development or progression.

Gene→Variant (gene-first): 7157:R175H 7157:R248W 7157:R273H 7157:R282W

Genes: 7157

Variants: R175H R248W R273H R282W

[Paragraph-level] PMCID: PMC3973211 Section: RESULTS PassageIndex: 10

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses the association between p53 mutations (R248, R282) and the expression of CYP3A4, a drug metabolism enzyme, indicating a correlation with drug clearance and potential response to chemotherapeutic drugs. Functional: The passage describes how p53 mutations (R248, R282) alter the expression levels of the CYP3A4 enzyme, demonstrating a change in molecular function related to drug metabolism.

Gene→Variant (gene-first): 7157:R175 7157:R175H 7157:R248 7157:R248W 7157:R273 7157:R273H 7157:R282 7157:R282W

Genes: 7157

Variants: R175 R175H R248 R248W R273 R273H R282 R282W

[Paragraph-level] PMCID: PMC3973211 Section: RESULTS PassageIndex: 7

Evidence Type(s): Diagnostic, Predictive

Justification: Diagnostic: The passage indicates that the R282 mutation is associated with drug metabolism enzymes, suggesting its role in defining or classifying a specific biological context related to drug metabolism. Predictive: The mention of the R282 mutation in relation to drug metabolism enzymes implies a potential correlation with response or sensitivity to therapies that involve these enzymes.

Gene→Variant (gene-first): 7157:R282

Genes: 7157

Variants: R282

[Paragraph-level] PMCID: PMC7293710 Section: RESULTS PassageIndex: 7

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses how the KRASG12V mutation correlates with increased sensitivity to the antiproliferation therapy of metformin, indicating a predictive relationship between the variant and treatment response. Oncogenic: The KRASG12V mutation is implicated in tumor development as it is mentioned in the context of its effect on cell viability and sensitivity to therapy in colorectal cancer cell lines.

Gene→Variant (gene-first): 3845:G12V

Genes: 3845

Variants: G12V

[Paragraph-level] PMCID: PMC7612117 Section: RESULTS PassageIndex: 15

Evidence Type(s): Predictive, Oncogenic, Functional

Justification: Predictive: The passage discusses the response of KB1(L1363P)P mammary tumors to targeted therapies, indicating that these tumors responded significantly better to cisplatin and the PARP inhibitor AZD2461, which correlates the variant with treatment response. Oncogenic: The variant is associated with tumor development and progression, as it is discussed in the context of mammary tumors and their response to therapies, suggesting a role in cancer biology. Functional: The passage describes how the variant affects the ability of tumor cells to induce RAD51 foci in response to gamma-radiation, indicating an alteration in molecular function related to DNA repair mechanisms.

Gene→Variant (gene-first): 7158:L1363P 7158:p.L1363P

Genes: 7158

Variants: L1363P p.L1363P

[Paragraph-level] PMCID: PMC7612117 Section: RESULTS PassageIndex: 14

Evidence Type(s): Predictive

Justification: Predictive: The variant L1363P is associated with a response to cisplatin and PARP inhibition, indicating its correlation with treatment sensitivity.

Gene→Variant (gene-first): 7158:L1363P

Genes: 7158

Variants: L1363P

[Paragraph-level] PMCID: PMC7612117 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive, Functional

Justification: Predictive: The passage discusses increased sensitivity to cisplatin and PARP1 inhibition in the context of the Brca1 p.L1363P variant, indicating a correlation with treatment response. Functional: The variant p.L1363P is shown to severely attenuate BRCA1-PALB2 binding, which alters the molecular function related to homologous recombination repair (HRR).

Gene→Variant (gene-first): 672:leucine to proline 7158:p.L1363P 672:p.L1407P

Genes: 672 7158

Variants: leucine to proline p.L1363P p.L1407P

[Paragraph-level] PMCID: PMC6368247 Section: ABSTRACT PassageIndex: 1

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the emergence of the ESR1 Y537S mutation in the context of resistance to CDK4/6 inhibitors, indicating a correlation with treatment response and resistance. Oncogenic: The mention of the ESR1 Y537S mutation as a new driver mutation suggests that it contributes to tumor development or progression, particularly in the context of breast cancer.

Gene→Variant (gene-first): 5728:Y537S

Genes: 5728

Variants: Y537S

[Paragraph-level] PMCID: PMC5122709 Section: RESULTS PassageIndex: 3

Evidence Type(s): Predictive, Diagnostic, Oncogenic

Justification: Predictive: The passage discusses patients treated with BRAF inhibitors, specifically mentioning the BRAF V600E mutation, which correlates with response to these therapies. Diagnostic: The passage states that all patients tested positive for the BRAF V600E mutation, indicating its use in defining or confirming the presence of a specific subtype of melanoma. Oncogenic: The BRAF V600E mutation is implicated in the development of melanoma, suggesting its role as a somatic variant contributing to tumor progression.

Gene→Variant (gene-first): 673:V600E

Genes: 673

Variants: V600E

[Paragraph-level] PMCID: PMC9900321 Section: ABSTRACT PassageIndex: 3

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the efficacy of a small-molecule KRASG12D inhibitor, MRTX1133, in treating pancreatic ductal adenocarcinoma, indicating a correlation between the Gly-to-Asp mutation and response to therapy. Oncogenic: The Gly-to-Asp mutation in the KRAS oncogene is described as contributing to tumor development in pancreatic ductal adenocarcinoma, as it is found in more than 90% of patients with this cancer type.

Gene→Variant (gene-first): 3845:Gly-to-Asp

Genes: 3845

Variants: Gly-to-Asp

[Paragraph-level] PMCID: PMC6280667 Section: RESULTS PassageIndex: 9

Evidence Type(s): Predictive

Justification: Predictive: The passage discusses the correlation of mutations, including those in splicing components like ZRSR2, with sensitivity to various drugs, indicating a relationship between the variant and treatment response.

Gene→Variant (gene-first): 8233:serine/arginine

Genes: 8233

Variants: serine/arginine

[Paragraph-level] PMCID: PMC8307492 Section: ABSTRACT PassageIndex: 4

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the association of the L858R variant with overall survival (OS) in patients treated with first-line EGFR inhibitors, indicating its relevance to treatment response. Oncogenic: The L858R variant is mentioned in the context of EGFR mutations in non-small-cell lung cancer (NSCLC), suggesting its role in tumor development or progression as part of the broader analysis of clinically actionable EGFR mutations.

Gene→Variant (gene-first): 1956:L858R

Genes: 1956

Variants: L858R

[Paragraph-level] PMCID: PMC10805385 Section: RESULTS PassageIndex: 17

Evidence Type(s): Oncogenic, Predictive

Justification: Oncogenic: The passage discusses the overexpression of HOXC10 in KRAS-mutant tumors, specifically mentioning the genotype KRAS G12C/TP53 G245V, indicating that these somatic variants contribute to tumor development or progression. Predictive: The passage mentions the efficacy of combined MEK/BET inhibitors causing tumor regression in KRAS-mutant patient-derived xenograft models, suggesting a correlation between the variants and response to therapy.

Gene→Variant (gene-first): 3845:G12C 7157:G245V

Genes: 3845 7157

Variants: G12C G245V

[Paragraph-level] PMCID: PMC10690049 Section: RESULTS PassageIndex: 7

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of KRASG12D mutant MEFs to a drug combination, indicating that the variant is associated with resistance to growth inhibition by the therapies tested. Oncogenic: The KRASG12D variant is implicated in tumor behavior, as it is described in the context of MEFs (mouse embryonic fibroblasts) and their growth characteristics, suggesting a role in tumor development or progression.

Gene→Variant (gene-first): 3845:G12D

Genes: 3845

Variants: G12D

[Paragraph-level] PMCID: PMC10690049 Section: RESULTS PassageIndex: 6

Evidence Type(s): Predictive, Oncogenic

Justification: Predictive: The passage discusses the response of KRAS G12C-mutant cells to specific therapies, indicating a correlation between the variant and sensitivity to the drugs MRTX849/AMG510 and KPT9274. Oncogenic: The variant KRAS G12C is implicated in tumor development, as the passage describes its presence in cancer cell lines and their proliferation in response to treatment, suggesting a role in cancer progression.

Gene→Variant (gene-first): 3845:G12C

Genes: 3845

Variants: G12C

for - Yann Lecun - paper - Yann Lecun - AI - LLMs are dead - language is optional for reasoning - to paper - VL-JEPA: Joint Embedding Predictive Architecture for Vision-language - https://hyp.is/eSxi8OxGEfCF7QMFiWL9Fg/arxiv.org/abs/2512.10942

Comment - That language and reasoning are separate is obvious. - If we look at the diversity of life and its ability to operationalize goal seeking behavior, that already tells you that - Michael Levin's research on goal-seeking behavior of organisms and the framework of multi-scale competency architecture validates Lecun's insight - Orders of magnitude fewer efficiency of Lecun's team's prototype compared to LLM also validates this

for - quote - Michael Levin - what is a good story? - the question is: Why didn't that biochemical story get you to this (new) discovery? - adjacency - good models - predictive power - good story - a good model is a good language - new words frame the world in new ways, - it allows us to divide reality in different ways - and can lead us to look in places we otherwise might now - and that can lead to new observations

Highlight and annotate at least 2 areas for each question. The annotations should be 1-2 sentences explaining the following: A. New learning B. Familiar with this C. Use this in practice

With respect to the predictive text portion of ChatGPT, a good non-technical (non-mathematical) description of a related mathematical model is described in chapter 3 of:

Pierce, John Robinson. An Introduction to Information Theory: Symbols, Signals and Noise. Second, Revised. Dover Books on Mathematics. 1961. Reprint, Mineola, N.Y: Dover Publications, Inc., 1980. https://www.amazon.com/Introduction-Information-Theory-Symbols-Mathematics/dp/0486240614.

Is LaMDA really able to "learn higher-level concepts" or is it just a large, straight-forward information theoretic-based prediction engine?

Lehnen, N., Glasauer, S., Schröder, L., Regnath, F., Biersack, K., Bergh, O. V. den, & Werder, D. von. (2022). Post-COVID symptoms in the absence of organic deficit—Lessons from diseases we know. PsyArXiv. https://doi.org/10.31234/osf.io/yqar2

Delz, Louise Aurora Katharina, Keith Gaynor, Ellen Somers, Rachel O. Connor, and Luisa Schmieder. ‘A CONFIRMATORY FACTOR ANALYSIS OF A COGNITIVE MODEL OF COVID-19 RELATED DISTRESS’. PsyArXiv, 18 February 2022. https://doi.org/10.31234/osf.io/zmf5d.

American Medical Association (AMA). (2021, December 6). Peter Hotez, MD, PhD, on the omicron variant and Delta winter surge | COVID-19 Update for Dec. 6, 20. https://www.youtube.com/watch?v=WnfpC1_N2Mg

News, B. N. O. (2021, November 26). Tracking COVID-19 variant Omicron. BNO News. https://bnonews.com/index.php/2021/11/omicron-tracker/

Art Poon. (2021, November 28). Our first https://filogeneti.ca/CoVizu update with B.1.1.529. As expected, number of mutations is well over molecular clock prediction (~13 diffs). Relatively low numbers of identical genomes implies large number of unsampled infections. We update every two days from GISAID. https://t.co/m8w2CjL1c0 [Tweet]. @art_poon. https://twitter.com/art_poon/status/1465001066194481162

Pisanu, E., Benedetto, A. D., Infurna, M. R., & Rumiati, R. I. (2021). Psychological impact in Healthcare Professionals during emergencies: The Italian experience with COVID-19. PsyArXiv. https://doi.org/10.31234/osf.io/5rzj9

Possibly useful summaries of a collection of papers and resources, including some by Andy Clark.

A brief overview of predictive processing.

Data Collection and Integration to Enhance Public Health Registration, Thu, Jun 10, 2021 at 1:00 PM | Eventbrite. (n.d.). Retrieved May 28, 2021, from https://www.eventbrite.com/e/data-collection-and-integration-to-enhance-public-health-registration-156146370999

Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021). A Tutorial for Exploratory Research: An Eight-Step Approach. PsyArXiv. https://doi.org/10.31234/osf.io/cy9mz

predictive processing is a process model that is suggested (or constrained) by the FEP.

Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.

Does BMI Predict the Early Spatial Variation and Intensity of COVID-19 in Developing Countries? Evidence from India. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13444/

Maarten van Smeden on Twitter: “Let’s talk about the ‘risk factors’ for COVID-19 for a moment 1/n” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/maartenvsmeden/status/1249702560442785794

Shmueli, G. (2010). To Explain or to Predict? Statistical Science, 25(3), 289–310.

It is this contortion that will make it hard to ask SNA driven research questions. You must think about describing patterns rather than making predictions.

Need to create a risk management plan associated with the use of predictive analytics. Talking as an organization about the risks is important - that way we can help keep each other responsible for using analytics in a responsible way.

Useful breakdown. Research, predictive models, and recognition are quite distinct from one another and the approaches to data that they imply are quite different. In a way, the “personalized learning” model at the core of the second topic is close to the Big Data attitude (collect all the things and sense will come through eventually) with corresponding ethical problems. Through projects vary greatly, research has a much more solid base in both ethics and epistemology than the kind of Big Data approach used by technocentric outlets. The part about recognition, though, opens the most interesting door. Microcredentials and badges are a part of a broader picture. The data shared in those cases need not be so comprehensive and learners have a lot of agency in the matter. In fact, when then-Ashoka Charles Tsai interviewed Mozilla executive director Mark Surman about badges, the message was quite clear: badges are a way to rethink education as a learner-driven “create your own path” adventure. The contrast between the three models reveals a lot. From the abstract world of research, to the top-down models of Minority Report-style predictive educating, all the way to a form of heutagogy. Lots to chew on.

Easier to do with a strict model for success.