Evidence map›Paper›PMID 33585490›Full record

ArticleFrontiers in cell and developmental biology2021

A Combined Two-mRNA Signature Associated With PD-L1 and Tumor Mutational Burden for Prognosis of Lung Adenocarcinoma.

Congkuan Song, Zhiquan Wu, Qingwen Wang, Yujin Wang, Zixin Guo, Sheng Li, Weidong Hu

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

7 authors.

Congkuan SongDepartment of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhiquan WuDepartment of Thoracic Surgery, People's Hospital of Qichun County, Huanggang, China.
Qingwen WangDepartment of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yujin WangDepartment of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zixin GuoDepartment of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Sheng LiDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Weidong HuDepartment of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to biological heterogeneity, lung adenocarcinoma (LUAD) patients with the same stage may exhibit variable responses to immunotherapy and a wide range of outcomes. It is urgent to seek a biomarker that can predict the prognosis and response to immunotherapy in these patients. In this study, we identified two genes (ANLN and ARNTL2) from multiple gene expression data sets, and developed a two-mRNA-based signature that can effectively distinguish high- and low-risk patients and predict patients' response to immunotherapy. Furthermore, taking full advantage of the complementary value of clinical and molecular features, we combined the immune prognostic signature with clinical features to construct and validate a nomogram that can predict the probability of high tumor mutational burden (>10 mutations per megabyte). This may improve the estimation of immunotherapy response in LUAD patients, and provide a new perspective for clinical screening of immunotherapy beneficiaries.

Indexed as

immunotherapylung adenocarcinomaPD-L1prognosistumor mutational burden

Identifiers

PMID33585490
PMCPMC7875126

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Registered trials

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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.