Evidence map›Paper›PMID 31929144›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Development and validation of an immune prognostic classifier for clear cell renal cell carcinoma.

Yong-Yao Gu, Gang Chen, Peng Lin, Ji-Wen Cheng, Zhi-Guang Huang, Jie Luo, Gao-Qiang Zhai, Ying-Lun Wang, Hai-Biao Yan, Sheng-Hua Li

Abstract readValidation Study
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 9 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

10 authors at 2 institutions in 1 country.

Yong-Yao GuDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Peng LinThe Ultrasonics Division of Radiology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ji-Wen ChengDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Zhi-Guang HuangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jie LuoDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Gao-Qiang ZhaiDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ying-Lun WangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Hai-Biao YanDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Sheng-Hua LiDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor-infiltrating immune cells are indispensable to the progression and prognosis of clear cell renal cell carcinoma (ccRCC).

objectiveThe aim of this study was to explore the clinical implications of immune cell infiltrates in ccRCC.

methodsThe Cancer Genome Atlas (TCGA) database (N= 515) and E-MTAB-1980 cohort of patients (N= 101) were adopted to estimate the prognostic value of immune cell infiltration. Twenty-four types of immune cells were evaluated using single-sample gene set enrichment analysis. Cox regression analyses were conducted to develop an immune risk score.

resultsSurvival analyses revealed that 13 genes significantly associated with the overall survival (OS). Furthermore, multivariate Cox analysis identified an immune risk score on the basis of mast cells, natural killer CD56bright cells, T helper 17 (Th17) cells, and Th2 cells. The immune risk score was associated with OS, with hazard ratios of 2.72 (95% CI 2.17-3.40) and 3.24 (95% CI 1.64-6.44) in TCGA and E-MTAB-1980 datasets, respectively. This immune risk score was significantly correlated with some immunotherapy-related biomarkers.

conclusionsWe profiled a prognostic signature and established an immune risk score model for ccRCC, which could provide novel predictive markers for patients with ccRCC and an indicator for immunotherapy response measurement.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellCohort StudiesFemaleGene Expression ProfilingHumansKidney NeoplasmsLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisRNA, NeoplasmSurvival RateBiomarkers, TumorRNA, NeoplasmClear cell renal cell carcinomaprognosisRNA-sequencingtumor-infiltrating immune cells

Identifiers

PMID31929144
PMCPMC12662280
OpenAlexW2999274259

What OpenQuestion holds

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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.