Evidence map›Paper›PMID 42643285›Full record

ArticleFrontiers in immunology2026

Intratumoral heterogeneity as a potential biomarker for immunotherapy response and postoperative recurrence in NSCLC.

Yuhang Wang, Xiaoying Dong, Yucheng Yin, Zuju Lin, Pengfei Ren, Yating Zheng, Haofei Wang

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Article in Frontiers in immunology, 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

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7 authors.

Yuhang Wang *Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoying Dong *Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yucheng YinDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zuju LinDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Pengfei RenDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yating ZhengMedical Department, 3D Medicines Inc., Shanghai, China.
Haofei WangDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intratumoral heterogeneity (ITH) is associated with poor prognosis in various solid tumors. However, its use as a predictive biomarker for immunotherapy in advanced non-small cell lung cancer (NSCLC) is still lacking. Methods: We used Maftools to analyze somatic variants of NSCLC from independent cohorts (POPLAR, OAK, Hellmann2018) including 504 patients with advanced NSCLC. Additionally, 121 patients (in-house cohort) with NSCLC who received radical treatment and underwent 733-panel NGS testing of surgical samples were included. We used Shannon entropy to measure ITH, analyzed correlation with immunogenic markers, and explored ITH's prognostic effect on immunotherapy and its role in predicting postoperative recurrence risk. Using the TCGA cohort, we compared genetic characteristics between low ITH (ITH-L) and high ITH (ITH-H) groups, assessed mutational profiles, and evaluated associations between ITH scores and immune cell populations. Results: In the Hellmann2018 cohort, ITH-L correlated with higher durable clinical benefit (DCB) rate, objective response rate (ORR), and median progression-free survival (mPFS), highlighting ITH-L as a potential positive predictor for ICI therapy. Combining ITH with TMB revealed that ITH-L/TMB-H patients had significantly better DCB, ORR, and mPFS, supporting the potential predictive value of ITH when evaluated together with TMB. Validation in POPLAR/OAK cohorts supported the association of ITH, alone or combined with TMB, with immunotherapy outcomes. ITH-L patients exhibited higher DCB, ORR, longer mPFS, and median overall survival (mOS). Combining ITH and circulating tumor DNA validated these findings. In early-stage surgical NSCLC patients, ITH-L was associated with significantly higher median recurrence-free survival (mRFS). Mechanistically, the ITH-L group showed elevated TMB, neoantigen (SNV), and subclonal genome fraction, alongside reduced HRD scores and CNV burden. Mutational analysis identified XIRP2 as the most frequently altered gene, enriched in the ITH-L group, while SHOX2 was the only gene with higher frequency in the ITH-H group. Immune infiltration analysis revealed significant differences in M1 macrophages, activated memory CD4+ T cells, and naive CD4+ T cells between groups. Conclusions: ITH may serve as a potential biomarker associated with immunotherapy outcomes in advanced NSCLC and postoperative recurrence risk in early-stage surgical patients.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungImmunotherapyLung NeoplasmsNeoplasm Recurrence, LocalAgedFemaleHumansMaleMiddle AgedMutationPrognosisTreatment OutcomeBiomarkers, Tumorimmunotherapyintratumoral heterogeneitynon-small cell lung cancerpostoperative recurrencepredictive

Identifiers

PMID42643285
PMCPMC13503312

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.