Evidence map›Paper›PMID 42626579›Full record

ArticleFrontiers in medicine2026

A 10-pathway burden score complements tumor mutational burden for outcome stratification in non-small cell lung cancer.

Feng Mao, Ning Wang, Yuming Wang, Ziang Wang, Hui Zhang, Qingquan Luo

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Feng Mao *Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Ning Wang *Department of Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yuming WangDepartment of Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ziang WangDepartment of Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hui ZhangDepartment of Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Qingquan LuoDepartment of Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tumor mutational burden (TMB) summarizes the number of nonsilent mutations in a tumor but does not show whether these alterations cluster within a small set of pathways or extend across several oncogenic programs. To address this distinction, we developed a 10-pathway burden (10-PB) framework and defined the 10-PB score as the number of altered canonical oncogenic pathways per tumor. We then evaluated whether this mutation-based measure of pathway breadth provides information complementary to TMB in non-small cell lung cancer (NSCLC). Methods: Nonsilent mutations were mapped to 10 canonical oncogenic pathways to construct the 10-PB score. We first described pathway-level alteration patterns and then examined associations of 10-PB with survival and treatment response. Its incremental value relative to TMB was assessed using multivariable models, likelihood-ratio tests, and Akaike information criterion. Bootstrap resampling, continuous-risk analyses, and leave-one-pathway-out models were used to evaluate the stability and endpoint-specific structure of the findings. External MSK-based cohorts were used for validation. Results: Most tumors showed alterations in 2-4 pathways, indicating that multi-pathway involvement is common in NSCLC. LUAD and LUSC showed distinct pathway-level profiles. Higher 10-PB was associated with shorter overall survival and progression-free survival after adjustment for clinicopathologic factors and TMB. Model comparisons suggested that 10-PB adds prognostic information to TMB-based models. In the treatment-response analysis, higher 10-PB showed an exploratory association with unfavorable response. Leave-one-pathway-out analyses suggested endpoint-specific patterns, with NOTCH more closely associated with progression-free survival and adverse response, and TGF-β and PI3K more closely associated with overall survival. External cohorts showed broadly consistent results. Conclusion: The 10-PB framework extends mutation-based assessment of NSCLC by describing how broadly nonsilent mutations involve canonical oncogenic pathways. This pathway-breadth measure complements TMB and may help refine prognosis-oriented stratification, while its treatment-response associations should be viewed as exploratory. Prospective validation and integration with functional pathway-activity data are needed before clinical application.

Indexed as

10-pathway burdennon-small cell lung cancernotch pathwayoncogenic pathwaystreatment responsetumor mutational burden

Identifiers

PMID42626579
PMCPMC13492235

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