Evidence map›Paper›PMID 34262797›Full record

ArticleOncoimmunology2021

Development of a novel gene signature to predict prognosis and response to PD-1 blockade in clear cell renal cell carcinoma.

Xiaomao Yin, Zaoyu Wang, Jianfeng Wang, Yunze Xu, Wen Kong, Jin Zhang

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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, 2 syntheses or guidelines pooled it, 55 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

6 authors at 1 institution in 1 country.

Xiaomao YinDepartment of Urology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0003-1045-659X
Zaoyu WangDepartment of Pathology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jianfeng WangDepartment of Urology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yunze XuDepartment of Urology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wen KongDepartment of Urology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0002-2326-3220
Jin ZhangDepartment of Urology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0001-6595-9210
Renji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common kidney malignancy characterized by a poor prognosis. The treatment efficacy of immune checkpoint inhibitors (ICIs) also varies widely in advanced ccRCC. We aim to construct a robust gene signature to improve the prognostic discrimination and prediction of ICIs for ccRCC patients. In this study, adopting differentially expressed genes from seven ccRCC datasets in GEO (Gene Expression Omnibus), a novel signature (FOXM1&TOP2A) was constructed in TCGA (The Cancer Genome Atlas) database by LASSO and Cox regression. Survival and time-dependent ROC analysis revealed the strong predictive ability of our signature in discovery set, two online validation sets and one tissue microarray (TMA) from our institution. High-risk group based on the signature comprises more high-grade (G3&G4) and advanced pathologic stage (stageIII/IV) tumors and presents hyperactivation of cell cycle process according to the functional analysis. Meanwhile, high-risk tumors demonstrate an immunosuppressive phenotype with more infiltrations of regulatory T cells (Tregs), macrophages and high expressions of genes negatively regulating anti-tumor immunity. Low-risk tumors have an improved response to anti-PD-1 therapy and the predictive ability of our signature is better than other recognized biomarkers in ccRCC. A nomogram containing this signature showed a high predictive accuracy with AUCs of 0.90 and 0.84 at 3 and 5 years. Overall, this robust signature could predict prognosis, evaluate immune microenvironment and response to anti-PD-1 therapy in ccRCC, which is very promising in clinical promotion.

Indexed as

Carcinoma, Renal CellImmune Checkpoint InhibitorsKidney NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisProgrammed Cell Death 1 ReceptorTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorClear cell renal cell carcinomagene signatureimmune infiltrationimmunotherapytissue microarray

Identifiers

PMID34262797
PMCPMC8253123
OpenAlexW3173240031

What OpenQuestion holds

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LicenceCC BY-NC
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.