Evidence map›Paper›PMID 35042953›Full record

ArticleNPJ precision oncology2022

Co-occurring genomic alterations and immunotherapy efficacy in NSCLC.

Fan Zhang, Jinliang Wang, Yu Xu, Shangli Cai, Tao Li, Guoqiang Wang, Chengcheng Li, Lei Zhao, Yi Hu

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  4. Systematic and precise interventions for KRAS-mutant cancers.Experimental hematology & oncology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Fan Zhang *Department of Oncology and Institute of Translational Medicine, Medical Innovation Research Center and The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Jinliang Wang *Department of Oncology and Institute of Translational Medicine, Medical Innovation Research Center and The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Yu Xu *Medical Department, Burning Rock Biotech, Guangdong, China.
Shangli Cai *Medical Department, Burning Rock Biotech, Guangdong, China.
Tao LiDepartment of Oncology and Institute of Translational Medicine, Medical Innovation Research Center and The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
Guoqiang WangMedical Department, Burning Rock Biotech, Guangdong, China.
Chengcheng LiMedical Department, Burning Rock Biotech, Guangdong, China.
Lei ZhaoDepartment of Oncology and Institute of Translational Medicine, Medical Innovation Research Center and The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China. zhaolei301@126.com.ORCID http://orcid.org/0000-0002-5884-2708
Yi HuDepartment of Oncology and Institute of Translational Medicine, Medical Innovation Research Center and The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China. huyi301zlxb@sina.com.
Chinese PLA General Hospital · CNBurning Rock Biotech (China) · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81773056
6 · The paper itself

Abstract

An oncogene-centric molecular classification paradigm in non-small cell lung cancer (NSCLC) has been established. Of note, the heterogeneity within each oncogenic driver-defined subgroup may be captured by co-occurring mutations, which potentially impact response/resistance to immune checkpoint inhibitors (ICIs). We analyzed the data of 1745 NSCLCs and delineated the landscape of interaction effects of common co-mutations on ICI efficacy. Particularly in nonsquamous NSCLC, KRAS mutation remarkably interacted with its co-occurring mutations in TP53, STK11, PTPRD, RBM10, and ATM. Based on single mutation-based prediction models, adding interaction terms (referred to as inter-model) improved discriminative utilities in both training and validation sets. The scores of inter-models exhibited undifferentiated effectiveness regardless of tumor mutational burden and programmed death-ligand 1, and were identified as independent predictors for ICI benefit. Our work provides novel tools for patient selection and insights into NSCLC immunobiology, and highlights the advantage and necessity of considering interactions when developing prediction algorithms for cancer therapeutics.

Identifiers

PMID35042953
PMCPMC8766442
OpenAlexW4205124506

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.