Evidence map›Paper›PMID 30861269›Full record

ArticleCancer science2019

Immune infiltration in renal cell carcinoma.

Shichao Zhang, Erdong Zhang, Jinhua Long, Zuquan Hu, Jian Peng, Lina Liu, Fuzhou Tang, Long Li, Yan Ouyang, Zhu Zeng

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 224 papers.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed
19.6field-weighted citation impact, top 1% 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

224 citing papers in PubMed, 325 citations in OpenAlex.

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  20. A Multi-Omics Analysis of a Mitophagy-Related Signature in Pan-Cancer.International journal of molecular sciences · 2025
    Article

164 more citing papers are in PubMed but not listed here.

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.

Shichao ZhangImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.ORCID http://orcid.org/0000-0002-8760-3482
Erdong ZhangSchool of Life Sciences, Lanzhou University, Lanzhou, China.
Jinhua LongAffiliated Tumor Hospital, Guizhou Medical University, Guiyang, China.
Zuquan HuImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Jian PengImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Lina LiuImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Fuzhou TangImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Long LiDepartment of Nephrology, The Third Affiliated Hospital of Guizhou Medical University, Duyun, China.
Yan OuyangImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Zhu ZengImmune Cells and Antibody Engineering Research Center of Guizhou Province/Key Laboratory of Biology and Medical Engineering, Guizhou Medical University, Guiyang, China.
Guiyang Medical University · CNLanzhou University · CN

Funding

Doctoral Scientific Research Foundation of Guizhou Medical University YJ2017-30National Natural Science Foundation of China 11762006National Natural Science Foundation of China 31760264National Natural Science Foundation of China 31771014National Natural Science Foundation of China 31860244
6 · The paper itself

Abstract

Immune infiltration of tumors is closely associated with clinical outcome in renal cell carcinoma (RCC). Tumor-infiltrating immune cells (TIICs) regulate cancer progression and are appealing therapeutic targets. The purpose of this study was to determine the composition of TIICs in RCC and further reveal the independent prognostic values of TIICs. CIBERSORT, an established algorithm, was applied to estimate the proportions of 22 immune cell types based on gene expression profiles of 891 tumors. Cox regression was used to evaluate the association of TIICs and immune checkpoint modulators with overall survival (OS). We found that CD8+ T cells were associated with prolonged OS (hazard ratio [HR] = 0.09, 95% confidence interval [CI].01-.53; P = 0.03) in chromophobe carcinoma (KICH). A higher proportion of regulatory T cells was associated with a worse outcome (HR = 1.59, 95% CI 1.23-.06; P < 0.01) in renal clear cell carcinoma (KIRC). In renal papillary cell carcinoma (KIRP), M1 macrophages were associated with a favorable outcome (HR = .43, 95% CI .25-.72; P < 0.01), while M2 macrophages indicated a worse outcome (HR = 2.55, 95% CI 1.45-4.47; P < 0.01). Moreover, the immunomodulator molecules CTLA4 and LAG3 were associated with a poor prognosis in KIRC, and IDO1 and PD-L2 were associated with a poor prognosis in KIRP. This study indicates TIICs are important determinants of prognosis in RCC meanwhile reveals potential targets and biomarkers for immunotherapy development.

Indexed as

AlgorithmsAntigens, CDCarcinoma, PapillaryCarcinoma, Renal CellCD8-Positive T-LymphocytesCTLA-4 AntigenFemaleHumansIndoleamine-Pyrrole 2,3,-DioxygenaseKidney NeoplasmsLymphocyte Activation Gene 3 ProteinLymphocytes, Tumor-InfiltratingMacrophagesMaleNeoplasm StagingPrognosisAntigens, CDCTLA-4 AntigenIDO1 protein, humanIndoleamine-Pyrrole 2,3,-DioxygenaseLag3 protein, humanLymphocyte Activation Gene 3 ProteinPDCD1LG2 protein, humanProgrammed Cell Death 1 Ligand 2 Proteingenomic alterationsoverall survivalprognosisrenal cell carcinomatumor-infiltrating immune cells

Identifiers

PMID30861269
PMCPMC6501001
OpenAlexW2921126124

What OpenQuestion holds

Textmetadata
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.