Evidence map›Paper›PMID 35346207›Full record

ArticleCancer cell international2022

Genomic correlates of programmed cell death ligand 1 (PD-L1) expression in Chinese lung adenocarcinoma patients.

Kang Li, Jun Liu, Lin Wu, Yajie Xiao, Jia Li, Haijian Du, Zhikun Zhao, Chao Sun, Yongtian Zhao, Jie Yang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Kang Li *Thoracic Medicine Department 2, Hunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Jun Liu *Department of Respiratory Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Lin Wu *Thoracic Medicine Department 2, Hunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Yajie Xiao *YuceBio Technology Co., Ltd., Shenzhen, China.
Jia LiThoracic Medicine Department 2, Hunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Haijian DuDepartment of Oncology II, Clifford Hospital, Guangzhou, China.
Zhikun ZhaoYuceBio Technology Co., Ltd., Shenzhen, China.
Chao SunYuceBio Technology Co., Ltd., Shenzhen, China.
Yongtian ZhaoYuceBio Technology Co., Ltd., Shenzhen, China.
Jie YangYuceBio Technology Co., Ltd., Shenzhen, China.
Dongfang WuYuceBio Technology Co., Ltd., Shenzhen, China.
Zhuxiang ZhaoDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China. zhaozhuxiang@126.com.
Bolin ChenThoracic Medicine Department 2, Hunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China. chenbolin@hnca.org.cn.ORCID http://orcid.org/0000-0002-4956-2675
Central South University · CNGuangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough PD-L1 expression is a crucial predictive biomarker for immunotherapy, it can be influenced by many factors.

methodsA total of 248 Chinese patients with lung adenocarcinoma was retrospectively identified. Data for clinical features, gene alternations, signaling pathways and immune signatures was analyzed among negative expression group (TPS < 1%, n = 124), intermediate expression group (1% ≤ TPS < 50%, n = 93), and high expression group (TPS ≥ 50%, n = 38). Clinical outcomes among different expression groups were also evaluated from public database.

resultsFirstly, high tumor mutation burden was significantly associated with high PD-L1 expression in these Chinese patients with lung adenocarcinoma. In addition, gene alternations including TP53, PRKDC, KMT2D, TET1 and SETD2 apparently occurred in high PD-L1 expression group. Moreover, pathway analysis showed that mutations involving in DDR pathway, TP53 pathway, cell-cycle pathway and NOTCH pathway were obviously varied among three PD-L1 expression groups. Besides, most of patients in high PD-L1 expression group from TCGA database were determined as high-grade immune subtypes (C2-C4), showing significant higher proportions of IFN-gamma, CD8+ T-cells, NK cells, NK CD56 dim cells, Th1 cells, Th2 cells (P < 0.0001). Moreover, SETD2 mutation slightly correlated with overall survival from MSKCC cohort (HR 1.92 [95%CI 0.90-4.10], P = 0.085), and the percentage of IFN-gamma was significantly higher in SETD2 mutant group than in wild-type group (P < 0.01).

conclusionsThis study illustrated in-depth genomic correlates of PD-L1 expression in Chinese lung adenocarcinoma patients and relevant immune signatures from public database, which might interpret more potential molecular mechanisms for immunotherapy in NSCLC.

Indexed as

Genomic profileImmune signatureImmunotherapyLung adenocarcinomaPD-L1 expression

Identifiers

PMID35346207
PMCPMC8962080
OpenAlexW4220995436

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