Evidence map›Paper›PMID 33312353›Full record

ArticleAmerican journal of translational research2020

Assessment of hazard immune-related genes and tumor immune infiltrations in renal cell carcinoma.

Hongxi Chen, Jinliang Xie, Peng Jin

Open access · greenAbstract read
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Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-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

9 citing papers in PubMed, 10 citations in OpenAlex.

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  4. SLA2 is a prognostic marker in HNSCC and correlates with immune cell infiltration in the tumor microenvironment.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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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

3 authors at 2 institutions in 1 country.

Hongxi ChenDepartment of Gastrointestinal Surgery, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410005, Hunan Province, China.
Jinliang XieOrgan Transplant Center, Xiangya Hospital, Central South University Changsha 410008, Hunan Province, China.
Peng JinOrgan Transplant Center, Xiangya Hospital, Central South University Changsha 410008, Hunan Province, China.
Central South University · CNHunan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to explore and validate a prognostic immune signature, to formulate a prognosis for ccRCC patients combined with immune-infiltration analysis.

methodsPublic datasets were used as our source of multi-omics data. Differential analysis was performed via the edgeR package. A prognostic immune signature was identified by univariate Cox analysis, and we constructed an integrative tumor-associated immune genes (TAIG) model from the multivariate Cox results. In order to interrogate and identify the related crosstalk, functional analysis was deployed. Significantly, we implemented the CIBERSORT algorithm to estimate the immune cell fractions in the ccRCC samples, and analyzed the differential abundance of tumor-infiltrating immune cells in two TAIG groups, using a Wilcoxon rank-sum test. The prognostic role of differential immune cells was further assessed via a Kaplan-Meier analysis. In addition, we investigated the associations of a single immune signature with specific immune cells.

resultsA total of 628 ccRCC patients were comprised in our integrative analysis, including 537 ccRCC patients in the discovery group and 91 patients in the validation group. Fourteen key immune signatures were subsequently identified. A figure of 0.802 was registered for AUC, and worse prognosis was evinced for those patients with a higher TAIG. Correlation analysis indicated that TAIG correlated closely with both clinical variables and TMB. Moreover, functional analysis implicated the immune-related GO items or crosstalk. Hence, we were able to identify the relationships obtaining between tumor-infiltrating immune cells and TAIG. The differential abundance of immune cells showed a significant prognostic difference and consisted of memory-activated CD4

conclusionsOverall, our team characterized the tumor-associated immune signature in ccRCC, and further identified the prognostic tumor-infiltrating immune cells related to TAIG. This in turn provided a solid foundation for investigating individualized immunotherapy, as well as other relevant mechanisms.

Indexed as

ccRCCimmune infiltratesImmune signatureprognosistumor-mutation burden

Identifiers

PMID33312353
PMCPMC7724327
OpenAlexW3114896652

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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.