Evidence map›Paper›PMID 38241355›Full record

ArticlePLoS genetics2024

Genome-wide analyses reveal the contribution of somatic variants to the immune landscape of multiple cancer types.

Wenjian Bi, Zhiyu Xu, Feng Liu, Zhi Xie, Hao Liu, Xiaotian Zhu, Wenge Zhong, Peipei Zhang, Xing Tang

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Wenjian BiDepartment of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing, People's Republic of China.ORCID 0000-0002-5108-9311
Zhiyu XuRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Feng LiuRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Zhi XieRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Hao LiuRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Xiaotian ZhuRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Wenge ZhongRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Peipei ZhangDepartment of Biochemistry and Biophysics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China.ORCID 0000-0003-1742-1680
Xing TangRegor Pharmaceuticals Inc., Cambridge, Massachusetts, United States of America.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been well established that cancer cells can evade immune surveillance by mutating themselves. Understanding genetic alterations in cancer cells that contribute to immune regulation could lead to better immunotherapy patient stratification and identification of novel immune-oncology (IO) targets. In this report, we describe our effort of genome-wide association analyses across 22 TCGA cancer types to explore the associations between genetic alterations in cancer cells and 74 immune traits. Results showed that the tumor microenvironment (TME) is shaped by different gene mutations in different cancer types. Out of the key genes that drive multiple immune traits, top hit KEAP1 in lung adenocarcinoma (LUAD) was selected for validation. It was found that KEAP1 mutations can explain more than 10% of the variance for multiple immune traits in LUAD. Using public scRNA-seq data, further analysis confirmed that KEAP1 mutations activate the NRF2 pathway and promote a suppressive TME. The activation of the NRF2 pathway is negatively correlated with lower T cell infiltration and higher T cell exhaustion. Meanwhile, several immune check point genes, such as CD274 (PD-L1), are highly expressed in NRF2-activated cancer cells. By integrating multiple RNA-seq data, a NRF2 gene signature was curated, which predicts anti-PD1 therapy response better than CD274 gene alone in a mixed cohort of different subtypes of non-small cell lung cancer (NSCLC) including LUAD, highlighting the important role of KEAP1-NRF2 axis in shaping the TME in NSCLC. Finally, a list of overexpressed ligands in NRF2 pathway activated cancer cells were identified and could potentially be targeted for TME remodeling in LUAD.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungLung NeoplasmsGenome-Wide Association StudyHumansKelch-Like ECH-Associated Protein 1NF-E2-Related Factor 2PrognosisTumor MicroenvironmentKelch-Like ECH-Associated Protein 1NF-E2-Related Factor 2

Identifiers

PMID38241355
PMCPMC10829993
OpenAlexW4391019477

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.