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| Pair | Criterion | Decision | Judge | Confidence | Rationale | Missing evidence | Evidence |
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| EGFR — ALK | Perturbational evidence | Abstained | gpt-5.6-luna | 95% | The dossiers contain perturbational evidence for both targets, but neither provides sufficiently explicit, directly adjudicable evidence of target modulation reversing disease-relevant phenotypes in a Patient-Derived Xenograft. EGFR evidence mentions PDX use without a specific, interpretable perturbation result (C1-CAT-ONCO-BIO-010), while ALK evidence describes siRNA effects in ALK-positive cell models and patient-derived material (C2-EV_PERTURBATION_0001) and CRISPR resistance studies with in vivo validation (C2-EV_PERTURBATION_0002), but does not clearly establish a PDX efficacy experiment. Because absence of clearly specified PDX evidence cannot be used to rank either target lower, the appropriate verdict is ABSTAIN. |
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| ALK — MET | Human genetics and causal evidence | Abstained | gpt-5.6-luna | 98% | The dossiers provide somatic tumor-genomic and functional driver evidence for ALK and MET, including recurrent fusions or splice alterations (C1-EV_GENETICS_0001, C1-EV_GENETICS_0002, C1-EV_GENETICS_0003, C2-EV_GENETICS_0002, C2-EV_GENETICS_0003, C2-EV_GENETICS_0004). However, the stated criterion specifically calls for human-genetic evidence such as GWAS/fine-mapping, L2G-style assignment, molecular-QTL colocalisation, rare-variant burden, Mendelian disease, or biobank phenotypes. Those evidence types, including ancestry-diverse germline replication and comparative allelic-series evidence, are absent for both candidates. Somatic driver evidence cannot substitute for the requested human-genetic evidence, so there is no admissible basis to rank the candidates. |
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| MET — ALK | Combination potential | Abstained | gpt-5.6-luna | 98% | Neither dossier provides direct evidence for combination with chemotherapy. MET evidence supports combinations with EGFR inhibition in resistance models, not chemotherapy, while ALK evidence describes resistance mechanisms and comparisons of ALK inhibition versus platinum-pemetrexed chemotherapy rather than concurrent combination. Single-agent toxicity descriptions do not establish whether either target can be safely dosed with chemotherapy. Under the guardrail, mechanistic rationale without combination-specific safety and preclinical evidence is insufficient for ranking. |
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| MET — EGFR | Novelty, crowding, and strategic optionality | Abstained | gpt-5.6-luna | 95% | MET has direct evidence of substantial current crowding in METex14 NSCLC, including multiple approved or clinically active inhibitors and competition from an ADC modality (C1-EV_COMPETITIVE_0005, C1-EV_COMPETITIVE_0006). It also has documented expansion across biomarker contexts and modalities (C1-EV_TRACTABILITY_0005). EGFR has evidence of multiple approved small-molecule TKI generations and potential antibody/TKI approaches, plus a broad set of possible indications (C2-EV_TRACTABILITY_0001, C2-CAT-ONCO-BIO-023, C2-CAT-ONCO-BIO-046). However, the EGFR dossier does not provide a directly comparable NSCLC competitor pipeline by phase, indication-expansion evidence grounded in programs, or a patent landscape. Therefore, the dossiers do not support a reliable comparison of strategic optionality relative to competitive crowding. Crowding and optionality cannot be netted into a verdict without comparable evidence. |
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| KRAS — ALK | Human genetics and causal evidence | B wins | gpt-5.6-luna | 72% | SECOND has the stronger causal gene-assignment evidence: the EML4-ALK fusion is a directly identified somatic alteration, has an unambiguous fusion-gene assignment, shows a defined activating direction, and was demonstrated to transform cells and cause tumors in models (C2-EV_GENETICS_0001, C2-EV_GENETICS_0002, C2-EV_MECHANISM_0003). Its recurrence is also supported by independent human tumor-genomic evidence (C2-EV_GENETICS_0003, C2-EV_GENETICS_0005). FIRST has substantial human evidence, including a KRAS allelic series with concordant activating direction and replication across tumor cohorts (C1-EV_GENETICS_0001, C1-EV_GENETICS_0002, C1-EV_GENETICS_0003), but the supplied dossier does not provide GWAS, QTL-colocalisation, or ancestry-diverse evidence, and its human tumor-genomic associations are less directly tied to a causal variant-to-gene demonstration than the EML4-ALK fusion evidence. The margin is narrow because KRAS has broader recurrence and allelic-series support, while ALK lacks the requested population-genetic and QTL evidence. |
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| MET — KRAS | Cell and tissue relevance | A wins | gpt-5.6-luna | 72% | MET has stronger direct human NSCLC tissue evidence: tumor-cell MET protein was assessed by immunohistochemistry, including primary tumors and matched nodal metastases, and recurrent MET exon-14 alterations were identified as tumor genomic drivers. KRAS has strong human genetic-driver evidence, but the supplied cell/tissue evidence mainly describes broad or near-ubiquitous expression and does not establish disease-specific localisation or dysregulation in mucus-producing glandular cells. The MET evidence is limited by intratumoral heterogeneity and discordance between protein expression and genomic alteration, and neither dossier provides the required cell-resolved evidence for the specified mucus-producing population; therefore the advantage is narrow rather than clear. |
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| ALK — KRAS | Competitive differentiation | A wins | gpt-5.6-luna | 84% | ALK offers greater evidenced potential for clinically meaningful differentiation over chemotherapy because randomized phase 3 evidence in previously untreated ALK-positive NSCLC showed superior progression-free survival, response rate, symptoms, and quality of life versus platinum-pemetrexed chemotherapy (C1-EV_BIOMARKER_0002, C1-EV_CLINICAL_0001). However, the ALK segment is already highly competitive, with several preferred first-line TKIs and limited direct differentiation among them (C1-EV_COMPETITIVE_0001, C1-EV_COMPETITIVE_0006), so the margin is narrow. The KRAS dossier establishes target tractability but does not provide comparable direct first-line clinical evidence versus chemotherapy or a sufficient competitor-landscape analysis. This conclusion addresses scientific/clinical differentiation evidence, not market attractiveness. |
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| KRAS — ALK | Evidence robustness (meta-evidence) | B wins | gpt-5.6-luna | 88% | SECOND is more robust on the stated meta-evidence criterion. The ALK dossier identifies multiple source families, including a discovery study, TCGA profiling, a large real-world prevalence cohort, tissue pathology cohorts, genome-wide perturbation screens, randomized clinical trials and regulatory sources. It also preserves adverse or contradictory findings: incomplete ALK dependence, variant-specific sensitivity, subclonality, nonproductive FISH-positive cases, bypass resistance and lack of unadjusted overall-survival benefit. This makes source dependence and failure modes more visible. KRAS has some independent human-genomics support from TCGA, prospective MSK-IMPACT and a large retrospective cohort, but much of the dossier consists of repeated catalogue claims with limited provenance, no explicit negative-result or replication-status framework, and few criterion-specific contradiction or publication-bias indicators. The conclusion is therefore based on metadata quality and explicit heterogeneity, not on the larger quantity of ALK evidence. |
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| EGFR — MET | Biomarker and target engagement | B wins | gpt-5.6-luna | 97% | MET offers the more credible integrated clinical biomarker strategy. MET exon 14 skipping has prospective clinical selection using tissue RNA or plasma cfDNA/NGS, is linked to objective responses and regulatory-approved treatment, and has a reported on-treatment molecular response based on serial METex14 ctDNA depletion. A validated pMET:total-MET assay provides a direct target-engagement and pharmacodynamic readout. EGFR has strong clinical precedent for mutation-directed therapy, but the supplied evidence does not provide an equally explicit clinical target-engagement or pharmacodynamic assay strategy; the pEGFR item is presented as a general biological measurement and is not shown to be clinically validated. MET's limitations—heterogeneous expression, assay discordance, and failure of MET-IHC alone—are documented, but they reinforce use of the more specific METex14/genomic strategy rather than outweighing it. |
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| KRAS — EGFR | Safety and essentiality | A wins | gpt-5.6-luna | 82% | KRAS has a meaningful on-target liability because it is broadly expressed and physiologically important; developmental and hematopoietic knockout phenotypes support this risk. However, the dossier specifically reports that mutant-selective covalent KRAS inhibitors spare wild-type KRAS (C1-EV_SAFETY_0001), providing a modality- and mechanism-specific mitigation. EGFR also has broad normal epithelial functions, severe knockout phenotypes involving skin, lung, and gastrointestinal tissues, and an explicit class effect of rash and diarrhoea from wild-type EGFR inhibition (C2-EV_SAFETY_0001). EGFR inhibition is described as affecting normal EGFR-expressing epithelia and as only partially mutation-selective (C2-CAT-ONCO-BIO-064). Therefore KRAS has the more favourable anticipated on-target safety profile, but the margin is narrow because KRAS essentiality and broad expression still indicate mechanism-based risk and direct comparative human safety evidence is absent. |
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| MET — KRAS | Evidence robustness (meta-evidence) | A wins | gpt-5.6-luna | 90% | MET has a substantially better documented meta-evidence structure: its dossier identifies source types and provenance, records explicit cohort and trial dependence, includes independent human-genomic cohorts, replicated clinical validation with different selective inhibitors, and multiple negative or contradictory findings such as METLung, ATTENTION, biomarker discordance, and limited activity in low-level amplification. KRAS has evidence of biological and clinical tractability, but its dossier is dominated by catalogue-style answers and lacks explicit source-family mapping, sample-overlap assessment, replication status, and systematic negative-result availability. This is not treated as evidence that KRAS is biologically weaker; it means its robustness cannot be established from the supplied meta-evidence. The documented dependence and contradiction handling for MET therefore make FIRST more robust on this criterion. |
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| MET — ALK | Competitive differentiation | B wins | gpt-5.6-luna | 95% | ALK offers greater potential for clinically meaningful differentiation over chemotherapy because untreated, biomarker-selected ALK-positive patients showed superior progression-free survival and response rate with crizotinib versus platinum-pemetrexed chemotherapy in randomized phase 3 evidence (C2-EV_BIOMARKER_0002; C2-EV_CLINICAL_0001). The ALK landscape also contains clinically demonstrated differentiation through superior CNS and long-term disease control with next-generation inhibitors, although the class is highly competitive (C2-EV_COMPETITIVE_0001; C2-EV_COMPETITIVE_0002). For MET, the dossier supports activity of selective inhibitors in treatment-naive METex14 disease, but explicitly states that chemotherapy remains a background option and provides no evidence of a comparative efficacy advantage over chemotherapy (C1-EV_COMPETITIVE_0003). MET is additionally a crowded competitive segment with multiple approved or clinically active agents and a non-TKI competitor (C1-EV_COMPETITIVE_0005; C1-EV_COMPETITIVE_0006). This conclusion addresses differentiation over chemotherapy, not overall scientific merit or market attractiveness. |
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| EGFR — ALK | Cell and tissue relevance | B wins | gpt-5.6-luna | 78% | ALK has stronger criterion-matched evidence because human NSCLC tissue studies directly detect ALK rearrangements and ALK protein by IHC in tumor cells, with localization to the pulmonary adenocarcinoma epithelial compartment (C2-EV_TISSUE_0001, C2-EV_TISSUE_0002, C2-EV_TISSUE_0006). However, the evidence also shows substantial subclonality and heterogeneous histologic differentiation, limiting confidence that the signal is specific to mucus-producing glandular cells (C2-EV_TISSUE_0004, C2-EV_TISSUE_0005). EGFR evidence supports expression in malignant epithelial cells and general tumor-versus-normal dysregulation, but does not provide direct human pathology, single-cell, or spatial evidence for the specified mucus-producing glandular cells (C1-CAT-ONCO-BIO-047, C1-CAT-ONCO-BIO-058, C1-CAT-ONCO-BIO-097). Therefore ALK is favored, but only narrowly because neither dossier resolves the critical cell type or fully controls for composition shifts. |
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| ALK — MET | Competitive differentiation | A wins | gpt-5.6-luna | 93% | ALK offers stronger evidence for clinically meaningful differentiation over chemotherapy in newly diagnosed disease: randomized phase 3 evidence showed superior progression-free survival and response rate versus platinum-pemetrexed chemotherapy in biomarker-selected patients. Its differentiation is also supported by durable systemic and intracranial control, although the ALK segment is crowded and incremental differentiation among preferred ALK inhibitors is not established. MET has clinically meaningful treatment-naive response data in METex14-positive disease and a stated opportunity relative to non-targeted treatment, but the dossier does not provide a direct randomized comparison against chemotherapy. MET differentiation is further limited by multiple approved or clinically active MET inhibitors and competition from a non-TKI modality. This conclusion concerns evidence for scientific/clinical differentiation over chemotherapy, not market attractiveness. |
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| EGFR — MET | Human genetics and causal evidence | B wins | gpt-5.6-luna | 82% | MET has stronger supplied human genomic evidence for a causal NSCLC role: multiple independent lung-cancer profiling datasets identify recurrent MET exon-14 splice alterations, including a broad allelic series of 126 distinct variants, with cis-acting splice-site changes linked to exon skipping, constitutive activation, and oncogenic transformation (C2-EV_GENETICS_0002, C2-EV_GENETICS_0003, C2-EV_GENETICS_0004). A clinical series also reports responses associated with these alterations (C2-EV_GENETICS_0006). EGFR has strong causal evidence for canonical activating somatic mutations, but the supplied genetics evidence is less detailed for variant-to-gene assignment and replication, while its germline familial NSCLC evidence is rare and incompletely quantified (C1-EV_GENETICS_0001; C1-CAT-ONCO-BIO-016; C1-CAT-ONCO-BIO-056). MET evidence is nevertheless limited by the absence of GWAS, fine-mapping, QTL colocalisation, ancestry diversity, and formal germline analyses; therefore the margin is narrow rather than clear. |
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| ALK — KRAS | Resistance and escape liability | B wins | gpt-5.6-luna | 67% | The direction is reversed: the stronger target is the one least vulnerable to escape. SECOND (KRAS) is favored narrowly because the ALK dossier contains particularly direct and high-quality clinical and functional evidence of acquired on-target compound mutations, non-ALK-dependent resistance, and bypass through EGFR-MAPK/PI3K signaling (C1-EV_TRACTABILITY_0007; C1-EV_BIOMARKER_0004; C1-EV_PERTURBATION_0002; C1-EV_PERTURBATION_0005). KRAS also has documented feedback reactivation, bypass signaling, secondary binding-site mutations, allele switching, and amplification, so it is not low-risk (C2-CAT-ONCO-BIO-004; C2-CAT-ONCO-BIO-013; C2-CAT-ONCO-BIO-063). However, those KRAS resistance data are predominantly catalogue-level and focused on KRAS-G12C, whereas ALK resistance is supported by repeat-biopsy clinical and validated mechanistic studies. Combination strategies could mitigate risk for both: KRAS combinations targeting RTK-SHP2-SOS/MAPK feedback are explicitly indicated, while ALK bypass may be mitigated by combining with or switching to pathway-directed agents, and sequential next-generation inhibitors may address selected on-target mutations. Biomarker strategies also mitigate risk: allele-specific KRAS testing and resistance genotyping can select appropriate inhibitors, while ALK fusion, expressed-fusion, variant, and resistance-mutation testing can refine therapy selection. The evidence therefore supports only a narrow SECOND verdict, not an absence of KRAS escape liability. |
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| EGFR — ALK | Resistance and escape liability | B wins | gpt-5.6-luna | 72% | Applying the reversed direction, ALK (SECOND) is judged less vulnerable, but only narrowly. EGFR has documented pathway redundancy and escape through MET/HGF and other bypass routes, plus acquired T790M and C797S resistance and therapeutic-selection-driven clonal evolution (C1-CAT-ONCO-BIO-004, C1-CAT-ONCO-BIO-013, C1-CAT-ONCO-BIO-063, C1-CAT-ONCO-BIO-066, C1-CAT-ONCO-BIO-078). ALK also has substantial escape liability: EGFR bypass after MIG6/ERRFI1 loss, KEAP1-mediated resistance, non-ALK-dependent progression, and compound on-target mutations after sequential inhibitors (C2-EV_PERTURBATION_0002, C2-EV_PERTURBATION_0003, C2-EV_BIOMARKER_0004, C2-EV_TRACTABILITY_0007). However, the ALK dossier provides a stronger biomarker-and-sequencing mitigation framework: ALK positivity selects the target, resistance mutations can guide later-line inhibitor choice, and broader sequential ALK inhibition can address some single-mutant resistance states (C2-EV_BIOMARKER_0001, C2-EV_BIOMARKER_0003, C2-EV_COMPETITIVE_0004). For EGFR, combination strategies could mitigate bypass risk, particularly EGFR inhibition with MET-directed therapy when MET activation is identified, and serial genotyping could guide mutation-specific inhibitor selection; these strategies do not eliminate the documented heterogeneous escape routes. For ALK, combination or biomarker strategies could likewise mitigate risk, including EGFR blockade for EGFR-bypass resistance and resistance-mutation-guided selection of next-generation ALK inhibitors. The evidence therefore favors ALK as less affected, but the difference is narrow because both targets have well-established redundancy and acquired-resistance mechanisms. |
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| KRAS — ALK | Druggability and tractability | B wins | gpt-5.6-luna | 93% | Both candidates have evidence supporting small-molecule tractability in lung cancer. KRAS has a clinically validated covalent small-molecule modality, but the strongest evidence is allele-specific and concentrated on KRAS-G12C, with additional resistance and bypass mechanisms documented. ALK has broader and more mature tractability evidence: multiple approved oral small-molecule TKIs, regulatory companion-diagnostic infrastructure, randomized clinical efficacy in NSCLC, and evidence of systemic and intracranial activity. These data directly support binding-site accessibility, modality feasibility, delivery to lung cancer, and therapeutic precedent. ALK therefore has the stronger overall small-molecule tractability dossier, while acknowledging that exact evidence in mucus-producing glandular cells is missing. |
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| ALK — EGFR | Evidence robustness (meta-evidence) | A wins | gpt-5.6-luna | 93% | ALK has a more auditable evidence structure: it includes distinct source families such as an original discovery study, TCGA profiling, a large real-world cohort, multicenter tissue pathology, functional perturbation studies, and regulatory or clinical sources. It also explicitly preserves contradictory findings, including variable model dependence and bypass resistance. These features support assessment of replication and publication-bias vulnerability, even though some ALK items share the original discovery study or resistance experiments. EGFR has relevant evidence, but its dossier is overwhelmingly composed of catalogue-answer summaries with sparse provenance and no documented sample-overlap, replication, or negative-result framework. Thus its apparent breadth cannot be treated as independent robustness under this meta-evidence criterion. |
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| ALK — MET | Disease biology and mechanism coherence | A wins | gpt-5.6-luna | 87% | ALK has the more coherent causal chain: a recurrent EML4-ALK fusion is identified as a human oncogenic driver, produces constitutive kinase signaling, activates defined downstream survival circuitry, and is selectively required in ALK-rearranged NSCLC models by direct knockdown and inhibitor perturbation. MET also has strong mechanistic evidence, especially for MET exon 14 skipping and MET-amplified subsets, including impaired receptor turnover and selective dependency in amplified models. However, MET dependence is more alteration- and context-dependent, with substantial heterogeneity and evidence that MET perturbation does not generally impair intrinsic proliferation. ALK likewise has important variant-specific and bypass-resistance limitations, so the advantage is narrow rather than clear. This judgment concerns mechanistic coherence and perturbational support, not druggability. |
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| MET — ALK | Novelty, crowding, and strategic optionality | A wins | gpt-5.6-luna | 72% | MET offers slightly greater demonstrated strategic optionality because the dossier supports both genotype-selected small-molecule inhibition and a distinct antibody-drug-conjugate strategy for a broader c-MET-overexpression population, creating more than one clinically actionable biomarker/modality path (C1-EV_TRACTABILITY_0005, C1-EV_CLINICAL_0004, C1-EV_CLINICAL_0005). However, this advantage is narrow: METex14 NSCLC is already crowded with multiple approved or clinically active inhibitors and now an additional non-TKI competitor (C1-EV_COMPETITIVE_0005, C1-EV_COMPETITIVE_0006), which raises biological confidence but reduces strategic value. ALK also has meaningful optionality through adjuvant treatment and an established companion-diagnostic infrastructure (C2-EV_TRACTABILITY_0005, C2-EV_TRACTABILITY_0006), plus ongoing fourth-generation inhibitor development for compound resistance (C2-EV_COMPETITIVE_0005). Its competitive crowding is especially substantial, with several preferred first-line TKIs and ongoing next-generation competition (C2-EV_COMPETITIVE_0001, C2-EV_COMPETITIVE_0005). Neither dossier supplies a patent landscape, so the IP component cannot distinguish them. |
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| ALK — EGFR | Integrated therapeutic hypothesis | A wins | gpt-5.6-luna | 94% | ALK represents the stronger integrated target–disease–modality hypothesis because the dossier connects a causal NSCLC alteration to a defined oncogenic mechanism, selective perturbational dependence, validated biomarker selection, established small-molecule tractability, and multiple randomized clinical demonstrations of benefit over chemotherapy, including durable systemic and intracranial activity in previously untreated disease. The hypothesis is not uniformly applicable: ALK dependence varies by model and fusion variant, resistance is common, toxicity is clinically relevant, and the segment is crowded. EGFR also has a coherent causal and mechanistic rationale and established small-molecule tractability, but its dossier is dominated by repetitive catalogue summaries and lacks comparable study-level randomized clinical evidence for the stated newly diagnosed context or a demonstrated differentiated medicine opportunity. The available EGFR evidence therefore supports plausibility but not an overall hypothesis as strongly as the ALK evidence. |
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| EGFR — ALK | Reversibility and therapeutic window | B wins | gpt-5.6-luna | 78% | ALK has stronger evidence for a therapeutic window: narrow adult expression and limited normal-tissue essentiality support separation from normal-tissue effects, while oral once-daily dosing supports interruption and titration. EGFR inhibition is explicitly associated with on-target rash and diarrhea, narrowing its window. However, ALK inhibitors also have clinically important organ, pulmonary, cardiac, neurologic, and metabolic toxicities, and the dossiers do not provide direct comparative half-life, exposure-response, or post-interruption recovery data. Therefore the advantage for ALK is narrow rather than clear. |
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| ALK — EGFR | Perturbational evidence | Abstained | gpt-5.6-luna | 93% | Neither dossier provides sufficiently specific, reproducible evidence that direct modulation of the target reverses disease-relevant phenotypes in bona fide NSCLC patient-derived xenografts. ALK has direct knockdown evidence in NSCLC models and mentions a patient-derived context, but the supplied text does not establish a PDX tumor-response experiment; its in vivo perturbational evidence is primarily resistance or dependency-context evidence rather than demonstrated disease reversal (C1-EV_PERTURBATION_0001, C1-EV_PERTURBATION_0002, C1-EV_SAFETY_0002). EGFR includes a catalogue-level assertion that preclinical validation studies used xenograft and PDX models, but no specific PDX perturbation result, target-specific tumor phenotype, or reproducible study details are supplied (C2-CAT-ONCO-BIO-010, C2-CAT-ONCO-BIO-117b). Therefore there is no adequate basis to compare the candidates under this criterion. |
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| ALK — KRAS | Safety and essentiality | A wins | gpt-5.6-luna | 74% | ALK has the more favourable anticipated on-target window, but only narrowly. The ALK knockout mouse was viable and fertile, with specific reproductive and neuroendocrine phenotypes rather than broad developmental or adult-organ failure, and the dossier reports narrow adult expression (C1-EV_SAFETY_0004, C1-EV_SAFETY_0001). By contrast, KRAS is broadly expressed across normal tissues and cell types (C2-CAT-ONCO-BIO-047), is not universally dispensable, and complete loss produces embryonic lethality and adult hematopoietic defects (C2-CAT-ONCO-BIO-052, C2-CAT-ONCO-BIO-054, C2-CAT-ONCO-BIO-114). Mutant-selective KRAS inhibitors can spare wild-type KRAS, which mitigates but does not eliminate this on-target concern (C2-EV_SAFETY_0001). ALK clinical adverse events are class-, molecule-, and modality-associated and therefore were not treated as direct evidence of intrinsic ALK essentiality (C1-EV_SAFETY_0005, C1-EV_SAFETY_0006, C1-EV_SAFETY_0007). The absence of human ALK LoF and quantitative comparative essentiality data limits confidence. |
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| KRAS — EGFR | Evidence robustness (meta-evidence) | A wins | gpt-5.6-luna | 72% | FIRST has the more robustly documented meta-evidence package: it includes distinct, provenance-labeled human genomics sources, including a primary untreated cohort, an independent prospective clinical-sequencing cohort, and a large retrospective cohort (C1-EV_GENETICS_0002, C1-EV_GENETICS_0003, C1-EV_GENETICS_0004), plus a separately labeled mechanistic evidence item (C1-EV_MECHANISM_0001). SECOND includes strong claims of replication for EGFR driver mutations (C2-EV_GENETICS_0001), but provides less underlying source-family and cohort metadata. The margin is narrow because neither dossier adequately documents sample overlap, negative-result availability, publication-bias assessment, or replication in the exact stated experimental context. |
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| KRAS — EGFR | Resistance and escape liability | A wins | gpt-5.6-luna | 72% | Applying the reversed direction, KRAS is the less vulnerable candidate, but only narrowly. Both targets have evidence for pathway redundancy, feedback or compensatory signaling, clonal evolution, and acquired resistance. KRAS inhibition can be bypassed through RTK–SHP2–SOS–RAS reactivation and parallel survival pathways, and resistance can arise through secondary switch-II-pocket mutations, activating alterations in trans, or amplification of the inhibited allele (C1-CAT-ONCO-BIO-013; C1-CAT-ONCO-BIO-063). EGFR inhibition has a broader upstream receptor-network escape landscape, including MET/HGF and other bypass receptors, downstream reactivation, and recurrent acquired EGFR alterations such as T790M and C797S, with documented clonal evolution under treatment (C2-CAT-ONCO-BIO-004; C2-CAT-ONCO-BIO-013; C2-CAT-ONCO-BIO-063; C2-CAT-ONCO-BIO-066). Combination strategies could mitigate risk for both: KRAS combinations with SHP2, SOS1, RTK, or downstream-pathway inhibitors are supported in the dossier (C1-CAT-ONCO-BIO-015; C1-CAT-ONCO-BIO-021), while EGFR combinations could address MET/HER-family or other bypass signaling (C2-CAT-ONCO-BIO-004; C2-CAT-ONCO-BIO-088). Biomarker strategies would also mitigate risk by selecting the specific KRAS allele or EGFR activating/resistance genotype and using longitudinal molecular monitoring to identify emerging resistant clones. The conclusion is limited because the dossiers do not provide a direct comparative resistance-rate analysis. |
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| EGFR — KRAS | Resistance and escape liability | B wins | gpt-5.6-luna | 68% | SECOND (KRAS) is judged slightly less vulnerable, with narrow margin. EGFR has multiple documented escape routes, including MET/HGF and other bypass signalling, downstream pathway activation, acquired T790M or C797S resistance mutations, and therapy-driven clonal evolution (C1-CAT-ONCO-BIO-004; C1-CAT-ONCO-BIO-013; C1-CAT-ONCO-BIO-063; C1-CAT-ONCO-BIO-066). KRAS also has substantial vulnerability: RTK–SHP2–SOS–RAS feedback, pathway reactivation, secondary switch-II-pocket mutations, allele switching, and KRAS amplification are documented (C2-CAT-ONCO-BIO-004; C2-CAT-ONCO-BIO-013; C2-CAT-ONCO-BIO-063). However, KRAS inhibition directly targets a downstream oncogenic signal hub, so escape through upstream EGFR or other RTK redundancy is less directly sufficient unless it reactivates RAS signalling; this supports a narrow advantage for KRAS, not a clear one. Combination strategies would mitigate risk for both: EGFR blockade could be paired with bypass-pathway inhibitors such as MET-, HER3-, or downstream-pathway inhibitors, while KRAS inhibition could be combined with SHP2, SOS1, or RTK blockade (C1-CAT-ONCO-BIO-004; C2-CAT-ONCO-BIO-015). Biomarker strategies would also mitigate risk by selecting the relevant EGFR activating mutation or KRAS allele, and by serially monitoring emergent resistance alterations or subclones (C1-CAT-ONCO-BIO-063; C1-CAT-ONCO-BIO-066; C2-CAT-ONCO-BIO-063; C2-CAT-ONCO-BIO-067). |
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| MET — EGFR | Translational model validity | A wins | gpt-5.6-luna | 78% | MET has direct pharmacologic efficacy evidence in six MET-amplified NSCLC patient-derived xenograft models, plus an independent set of six EGFR-mutant/MET-amplified patient-derived lung-cancer models showing in vivo sensitivity to MET inhibition (C1-EV_PERTURBATION_0002, C1-EV_PERTURBATION_0003). These are human-derived in vivo models directly relevant to NSCLC. EGFR has evidence describing genetically engineered EGFR-mutant mouse models and broad claims that EGFR tool compounds have been tested in PDX and other models, but the supplied dossier provides less specific, less directly documented efficacy evidence in the relevant human-derived models (C2-CAT-ONCO-BIO-010, C2-CAT-ONCO-BIO-117b). Neither dossier establishes that the models represent newly diagnosed disease or the specified mucus-producing glandular cell context, so the advantage is narrow. |
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| ALK — MET | Resistance and escape liability | B wins | gpt-5.6-luna | 84% | Direction is reversed: the stronger target is the one least affected by escape. SECOND (MET) is favored narrowly because the ALK dossier contains direct clinical and mechanistic evidence of substantial acquired resistance liability: sequential ALK-TKI treatment selects compound ALK kinase-domain mutations, and progression can occur through both on-target mutations and non-ALK bypass mechanisms (C1-EV_TRACTABILITY_0007; C1-EV_BIOMARKER_0004). Genome-wide screens further identify EGFR/MAPK and PI3K/AKT/mTOR bypass through MIG6/ERRFI1 loss (C1-EV_PERTURBATION_0002; C1-EV_PERTURBATION_0005). MET also has meaningful escape liabilities, including pre-existing RAS–MAPK alterations, assay and intratumoral heterogeneity, and pathway redundancy (C2-EV_GENETICS_0005; C2-EV_BIOMARKER_0006; C2-EV_MECHANISM_0004; C2-EV_MECHANISM_0005). Therefore this is narrow rather than clear, and is not based solely on absence of MET resistance data. Biomarker strategies would partially mitigate risk for both targets: ALK fusion/variant, resistance-mutation, and longitudinal ctDNA selection can improve matching, while METex14 and high-level amplification selection can restrict treatment to more dependent tumors. Combination strategies may also mitigate bypass, such as EGFR blockade for MIG6-deficient ALK models and combined EGFR/MET inhibition for MET-mediated EGFR resistance, but the supplied evidence does not establish that these approaches eliminate escape in the stated NSCLC context. |
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| MET — KRAS | Human genetics and causal evidence | B wins | gpt-5.6-luna | 82% | SECOND has stronger supplied human-genetic evidence for a causal NSCLC role. The dossier documents a recurrent activating allelic series, high prevalence in lung adenocarcinoma, and replication across a TCGA cohort, an independent prospective metastatic cohort, and a large clinical sequencing cohort (C2-EV_GENETICS_0001 through C2-EV_GENETICS_0004). MET is also supported by recurrent, directly characterized somatic driver alterations and multiple METex14 variants (C1-EV_GENETICS_0002 through C1-EV_GENETICS_0004), but its evidence is narrower and less frequent, with adverse prognostic heterogeneity and resistance-related caveats (C1-EV_GENETICS_0005, C1-EV_GENETICS_0007). Neither dossier supplies GWAS/fine-mapping, L2G scores, molecular-QTL colocalisation, ancestry-diverse replication, or biobank/rare-variant evidence, so the margin is narrow and the conclusion rests mainly on replicated somatic driver genomics and allelic-series evidence rather than the full stated rubric. |
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| KRAS — MET | Druggability and tractability | Tie | gpt-5.6-luna | 80% | Both targets have strong, modality-specific small-molecule tractability evidence in NSCLC. KRAS has a structurally characterized druggable switch-II pocket, mutation-specific covalent chemistry, available tool compounds, and clinically validated inhibitors (C1-EV_TRACTABILITY_0001; C1-CAT-ONCO-BIO-032; C1-CAT-ONCO-BIO-115). MET has an established small-molecule kinase-binding site, multiple approved oral MET TKIs, and direct clinical validation in genotype-selected MET exon 14-skipping NSCLC (C2-EV_TRACTABILITY_0001; C2-EV_TRACTABILITY_0002; C2-EV_TRACTABILITY_0003; C2-EV_TRACTABILITY_0004). MET tractability is less uniform for amplification and is limited by biomarker thresholding (C2-EV_TRACTABILITY_0007; C2-EV_CLINICAL_0006), while KRAS has allele-specific resistance and broader mutation-dependent requirements. The supplied evidence does not establish a decisive advantage for either target on lung delivery or the specified mucus-producing glandular cell type, so the supported conclusion is a positive, comparable tie rather than abstention. |
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| MET — ALK | Disease biology and mechanism coherence | B wins | gpt-5.6-luna | 84% | Both targets have substantial evidence supporting an inhibition mechanism in NSCLC. ALK has the more internally coherent causal chain: a recurrent EML4–ALK fusion is shown to transform cells, generate constitutive kinase signaling, activate defined downstream pathways, and support tumor-cell proliferation and survival; direct ALK knockdown selectively reduces viability and clonogenic growth in fusion-positive models. MET also has a strong mechanism, particularly for MET exon 14 skipping, where loss of the CBL-binding region causes impaired receptor turnover, sustained signaling, and selective dependency in MET-amplified models and PDXs. However, MET dependency is more explicitly restricted to molecular subsets and is weakened by alteration- and expression-dependent heterogeneity. ALK likewise has variant and bypass-resistance limitations, so the advantage is narrow rather than clear. |
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| ALK — KRAS | Integrated therapeutic hypothesis | A wins | gpt-5.6-luna | 90% | ALK represents the stronger integrated target–disease–modality hypothesis because the dossier directly connects ALK rearrangement to NSCLC biology, provides a validated predictive biomarker and established oral small-molecule modality, and includes multiple randomized first-line clinical studies showing superiority or durable benefit over chemotherapy or crizotinib (C1-EV_BIOMARKER_0001, C1-EV_BIOMARKER_0002, C1-EV_CLINICAL_0001, C1-EV_CLINICAL_0002, C1-EV_CLINICAL_0004). Its main limitation is differentiation in a crowded ALK-TKI segment, together with resistance and toxicity concerns. KRAS has greater mutation prevalence and clinically validated small-molecule tractability, particularly for G12C (C2-EV_GENETICS_0002, C2-EV_GENETICS_0004, C2-EV_TRACTABILITY_0001), but the supplied evidence is less directly relevant to newly diagnosed patients, chemotherapy comparison, the specified PDX setting, and a differentiated G12C/G12D medicine. Much of the KRAS support is catalogue-level, generic, or explicitly context-dependent. Therefore the direct clinical coherence of ALK outweighs KRAS's broader but less mature and less first-line-specific hypothesis. |
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| KRAS — ALK | Time to decisive experiment | Abstained | gpt-5.6-luna | 98% | The dossiers contain evidence of reagent/modality availability and some preclinical model use for both candidates, including KRAS tool compounds and PDX-related studies (C1-CAT-ONCO-BIO-010, C1-CAT-ONCO-BIO-115) and approved ALK inhibitors with companion-diagnostic infrastructure (C2-EV_TRACTABILITY_0001, C2-EV_TRACTABILITY_0006). However, they do not provide organisation-specific capacity, historical cycle times, operational readiness for the specified PDX context, or comparative costs. Without those criterion-specific data, the faster and lower-cost target cannot be adjudicated. |
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| ALK — MET | Evidence robustness (meta-evidence) | A wins | gpt-5.6-luna | 76% | ALK has evidence from multiple separately identified randomized clinical trials and includes both supportive and contradictory findings, including a negative unadjusted overall-survival result and documented resistance or nonuniform dependency. MET also has supportive and negative findings, but its dossier explicitly identifies extensive dependence among major clinical, biomarker, safety, and competitive evidence clusters, with several conclusions drawn from GEOMETRY mono-1, VISION, and LUMINOSITY. Therefore ALK has the more robust package against source dependence and contradiction, but the margin is narrow because explicit overlap and publication-bias metadata are incomplete for both candidates. |
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| MET — ALK | Perturbational evidence | A wins | gpt-5.6-luna | 91% | MET has explicit pharmacologic perturbation evidence in six MET-amplified lung-cancer patient-derived xenograft models, with MET-inhibition-associated signaling suppression and antitumor responses, plus concordant activity across additional patient-derived models in vivo (C1-EV_PERTURBATION_0002, C1-EV_PERTURBATION_0003). The ALK dossier contains direct knockdown evidence in cell models and CRISPR resistance-screen evidence, but does not provide comparably direct ALK modulation producing disease-relevant responses in multiple patient-derived xenografts. MET evidence is therefore stronger for this specific PDX perturbational criterion, despite limited orthogonal genetic validation in PDX. |
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| MET — KRAS | Safety and essentiality | B wins | gpt-5.6-luna | 66% | KRAS has broad physiologic expression and documented essentiality during development and in hematopoietic compartments, which limits the margin and makes the advantage narrow rather than clear. However, the supplied KRAS safety evidence indicates that mutant-selective covalent inhibitors spare wild-type KRAS, providing a mechanistic basis for a more favourable anticipated on-target profile under small-molecule inhibition. MET has a documented clinical toxicity burden across selective inhibitors, including edema and serious pulmonary, hepatic, pancreatic, and embryo-fetal toxicities. Some of these effects may be molecule- or modality-specific rather than purely on-target, so they should not all be attributed to MET mechanism; nevertheless, the class-level clinical safety burden is more directly evidenced than for KRAS. The comparison therefore modestly favours KRAS, with substantial uncertainty due to incomplete comparative human safety and essentiality data. |
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| KRAS — MET | Combination potential | Abstained | gpt-5.6-luna | 96% | Neither dossier provides direct evidence for combination with chemotherapy. KRAS has preclinical combination and resistance evidence involving SOS1/SHP2 and related pathway feedback, while MET has in vivo combination evidence with EGFR inhibition and clinically documented toxicity; these are not chemotherapy combinations and cannot establish the requested rationale. The required chemotherapy-specific combination efficacy and overlapping-toxicity evidence are missing for both candidates, so ranking would exceed the dossier evidence. |
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| ALK — KRAS | Time to decisive experiment | Abstained | gpt-5.6-luna | 98% | The dossiers establish that both targets have small-molecule tools and some diagnostic or preclinical model resources (C1-EV_TRACTABILITY_0001, C1-EV_TRACTABILITY_0006, C2-EV_TRACTABILITY_0001, C2-CAT-ONCO-BIO-010, C2-CAT-ONCO-BIO-115), but they do not provide the organisation-specific readiness, capacity, historical cycle times, or costs needed to determine which target reaches a high-information in vivo go/no-go decision faster and more cheaply. Evidence of biological or clinical tractability cannot substitute for this learning-efficiency criterion. |
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| ALK — KRAS | Combination potential | Abstained | gpt-5.6-luna | 96% | Neither dossier supplies the criterion-critical evidence needed to adjudicate combination with chemotherapy: direct chemotherapy combination preclinical studies and an overlapping-toxicity or co-dosing assessment. ALK includes resistance-mechanism data and clinically important target-inhibitor toxicities, while KRAS includes general pathway-bypass and combination-vulnerability discussion, but these do not establish chemotherapy complementarity or safe combined dosing. Under the rubric and guardrail, the appropriate judgment is abstention rather than ranking one candidate on indirect evidence. |
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| ALK — MET | Biomarker and target engagement | A wins | gpt-5.6-luna | 80% | ALK offers the more credible overall clinical biomarker strategy because ALK rearrangement is an FDA-recognized predictive biomarker with an established companion-diagnostic infrastructure, including FDA-authorized testing, and randomized phase 3 evidence of superior efficacy over platinum-pemetrexed chemotherapy in biomarker-selected patients (C1-EV_BIOMARKER_0001, C1-EV_BIOMARKER_0002, C1-EV_TRACTABILITY_0006). Longitudinal plasma ALK mutation kinetics provide clinically linked pharmacodynamic evidence consistent with on-target inhibition (C1-EV_BIOMARKER_0005). METex14 also has strong clinical validation, FDA-approved selection, prospective tissue/plasma testing, and ctDNA molecular-response evidence (C2-EV_BIOMARKER_0001, C2-EV_BIOMARKER_0002, C2-EV_CLINICAL_0003), and its pMET:total-MET assay is a notable direct target-engagement strength (C2-EV_BIOMARKER_0005). However, MET's clinical evidence is primarily phase 2 and is accompanied by substantial assay and biomarker heterogeneity, while ALK has stronger regulatory precedent and randomized comparative efficacy evidence. The margin is narrow because MET has more explicit direct target-engagement assay evidence, whereas ALK selection can be weakened by nonproductive FISH-positive rearrangements (C1-EV_BIOMARKER_0006) and resistance-related loss of dependence (C1-EV_BIOMARKER_0004). |
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| KRAS — MET | Translational model validity | B wins | gpt-5.6-luna | 90% | MET has direct efficacy evidence in patient-derived NSCLC xenograft models, including six MET-amplified lung-cancer PDX models and additional patient-derived EGFR-mutant/MET-amplified models showing in vivo sensitivity to MET inhibition (C2-EV_PERTURBATION_0002, C2-EV_PERTURBATION_0003). Its clinical relevance is further supported by durable responses to selective MET inhibitors in treatment-naive MET exon 14–skipping NSCLC, including capmatinib and tepotinib datasets (C2-EV_CLINICAL_0001, C2-EV_CLINICAL_0002). KRAS has strong human-genetic and clinical tractability evidence, but the dossier does not provide comparably specific, high-quality KRAS efficacy results from admissible translational models in NSCLC or newly diagnosed disease. The MET evidence is biomarker- and alteration-dependent, and the negative or weaker findings for unselected MET models do not negate the stronger evidence in the defined MET-dependent subsets. |
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| ALK — MET | Time to decisive experiment | Abstained | gpt-5.6-luna | 98% | The dossiers establish that both targets have clinically tractable small-molecule inhibitors and some preclinical or patient-derived model evidence (for example, C1-EV_TRACTABILITY_0001, C1-EV_PERTURBATION_0001, C2-EV_TRACTABILITY_0001, and C2-EV_PERTURBATION_0002), but they do not provide the operational evidence required to compare time or cost to a decisive in vivo proof-of-concept decision. In particular, model readiness, internal capacity, procurement or assay timelines, historical cycle times, and study costs are absent. Biological validation and modality tractability cannot substitute for these learning-efficiency measures. |
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| ALK — KRAS | Perturbational evidence | A wins | gpt-5.6-luna | 80% | ALK has direct perturbational evidence from ALK knockdown showing selective loss of viability and clonogenic growth in ALK-rearranged NSCLC models, plus CRISPR-based evidence in a patient-derived NSCLC context and pharmacologic in vivo dependency evidence. KRAS has strong genetic and mechanistic support, but the supplied perturbational dossier does not provide a clearly documented, reproducible PDX disease-reversal result: its explicit xenograft example is a human cell-line xenograft, while the PDX references are general or catalogue-level claims. The ALK evidence is therefore stronger, but the margin is narrow because the supplied ALK PDX result is truncated and includes context-dependent resistance evidence. |
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| MET — ALK | Human genetics and causal evidence | B wins | gpt-5.6-luna | 78% | ALK has slightly stronger causal human-genetic evidence because the EML4–ALK fusion is directly assigned to ALK, has an explicitly stated direction of effect, was identified in human NSCLC, and was shown to transform cells; independent tumor-genomic profiling also reproduced recurrent ALK rearrangements (C2-EV_GENETICS_0001, C2-EV_GENETICS_0002, C2-EV_GENETICS_0003, C2-EV_MECHANISM_0003). MET also has strong somatic causal evidence: recurrent exon-14 splice alterations are gene-specific, mechanistically activate MET, and are replicated across profiling cohorts (C1-EV_GENETICS_0002, C1-EV_GENETICS_0003). The margin is narrow because neither dossier provides the GWAS, QTL colocalisation, rare-variant, biobank, or ancestry-diverse evidence explicitly requested, and the available evidence is primarily somatic tumor-genomic and functional rather than population human genetics. The ALK germline evidence concerns neuroblastic tumors rather than NSCLC and does not undermine the somatic NSCLC fusion evidence (C2-EV_GENETICS_0004, C2-EV_GENETICS_0007). |
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| EGFR — MET | Translational model validity | B wins | gpt-5.6-luna | 80% | MET has the stronger translational-model dossier because it includes explicit pharmacologic efficacy in six MET-amplified NSCLC patient-derived xenograft models and additional patient-derived EGFR-mutant/MET-amplified models, with activity linked to MET-dependent signaling (C2-EV_PERTURBATION_0002, C2-EV_PERTURBATION_0003). Its clinical relevance is also supported in treatment-naive MET exon 14–skipping NSCLC by responses to capmatinib (C2-EV_SAFETY_0002; C2-EV_CLINICAL_0001). EGFR has relevant genetic mouse-model claims and references to PDX and other models, but these are largely catalogue-level summaries without comparably detailed, independently documented model results (C1-CAT-ONCO-BIO-117, C1-CAT-ONCO-BIO-117b). The MET evidence is biomarker-restricted rather than universal, and the dossiers do not provide a direct head-to-head comparison in newly diagnosed, chemotherapy-backed models, so the margin is narrow. |
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| KRAS — MET | Resistance and escape liability | B wins | gpt-5.6-luna | 79% | SECOND (MET) is judged less vulnerable, but only narrowly. KRAS has direct evidence of multiple escape routes: feedback and parallel-pathway reactivation through RTK–SHP2–SOS–RAS and alternative survival pathways, plus acquired KRAS resistance mutations, allele switching, and amplification under KRAS-G12C inhibition (C1-CAT-ONCO-BIO-004, C1-CAT-ONCO-BIO-013, C1-CAT-ONCO-BIO-063). MET also has documented escape liability: baseline RAS–MAPK alterations can cause primary or reduced response to MET therapy, and MET dependence is heterogeneous and biomarker-dependent (C2-EV_GENETICS_0005, C2-EV_SAFETY_0003, C2-EV_CLINICAL_0006). However, the supplied MET dossier provides less direct evidence of acquired resistance to selective MET inhibition than the KRAS dossier provides for KRAS-directed resistance. Combination and biomarker strategies would mitigate risk for both: KRAS risk could be reduced by combinations targeting RTK/SHP2/SOS or downstream/parallel pathways and by allele-specific selection and monitoring; MET risk could be reduced by selecting MET exon-14 skipping or high-level amplification rather than nonspecific MET expression or low-level amplification, with pathway-combination strategies supported in EGFR/MET bypass models (C1-CAT-ONCO-BIO-015, C2-EV_BIOMARKER_0001, C2-EV_TRACTABILITY_0007, C2-EV_MECHANISM_0005). |
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| EGFR — KRAS | Evidence robustness (meta-evidence) | B wins | gpt-5.6-luna | 82% | KRAS has the stronger documented meta-evidence structure: a primary human tumor-genomics cohort, an independent prospective MSK-IMPACT cohort, and a large retrospective cohort with separately described sample bases. These provide clearer source-family diversity and replication than EGFR's supplied evidence, whose strongest genetics item asserts replication but does not identify the contributing studies, cohorts, overlap status, or negative-result availability. The margin is narrow because neither dossier provides comprehensive provenance, overlap, publication-bias, or negative-result metadata, so the comparison remains incomplete. |
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| KRAS — ALK | Translational model validity | B wins | gpt-5.6-luna | 95% | ALK has the stronger translational efficacy evidence. Its dossier includes selective perturbation in EML4-ALK-positive NSCLC cells, evidence in a patient-derived NSCLC model, genetically engineered lung tumor models, and randomized clinical efficacy in previously untreated ALK-positive NSCLC against platinum-pemetrexed chemotherapy. These models and the clinical setting are directly relevant to NSCLC and newly diagnosed disease. KRAS has strong human genetic and mechanistic support, but the supplied evidence does not provide comparably detailed efficacy results in NSCLC PDX, organoid, primary-cell, or genetically engineered lung models; the cited efficacy example is a MiaPaCa-2 xenograft, which is pancreatic rather than NSCLC. ALK dependence is not uniform across variants or models, but these limitations do not offset the substantially more direct and clinically anchored translational efficacy evidence. |
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