Evidence map›Paper›PMID 35686121›Full record

ArticleFrontiers in immunology2022

Immune-Associated Gene Signatures Serve as a Promising Biomarker of Immunotherapeutic Prognosis for Renal Clear Cell Carcinoma.

Qi Wang, Hanmin Tang, Xuehui Luo, Jie Chen, Xinyue Zhang, Xinyue Li, Yuesen Li, Yuetong Chen, Yungang Xu, Suxia Han

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 29 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.

Qi WangDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hanmin TangDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xuehui LuoDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jie ChenDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xinyue ZhangDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xinyue LiDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yuesen LiDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yuetong ChenDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yungang XuDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Suxia HanDepartment of Radiation Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most common type of renal cell carcinoma (RCC), the renal clear cell carcinoma (ccRCC) is highly malignant and insensitive to chemotherapy or radiotherapy. Although systemic immunotherapies have been successfully applied to ccRCC in recent years, screening for patients who can benefit most from these therapies is still essential and challenging due to immunological heterogeneity of ccRCC patients. To this end, we implemented a series of deep investigation on the expression and clinic data of ccRCC from The Cancer Genome Atlas (TCGA) International Consortium for Cancer Genomics (ICGC). We identified a total of 946 immune-related genes that were differentially expressed. Among them, five independent genes, including SHC1, WNT5A, NRP1, TGFA, and IL4R, were significantly associated with survival and used to construct the immune-related prognostic differential gene signature (IRPDGs). Then the ccRCC patients were categorized into high-risk and low-risk subgroups based on the median risk score of the IRPDGs. IRPDGs subgroups displays distinct genomic and immunological characteristics. Known immunotherapy-related genes show different mutation burden, wherein the mutation rate of VHL was higher than 40% in the two IRPDGs subgroups, and SETD2 and BAP1 mutations differed most between two groups with higher frequency in the high-risk subgroup. Moreover, IRPDGs subgroups had different abundance in tumor-infiltrating immune cells (TIICs) with distinct immunotherapy efficacy. Plasma cells, regulatory cells (Tregs), follicular helper T cells (Tfh), and M0 macrophages were enriched in the high-risk group with a higher tumor immune dysfunction and rejection (TIDE) score. In contrast, the low-risk group had abundant M1 macrophages, mast cell resting and dendritic cell resting infiltrates with lower TIDE score and benefited more from immune checkpoint inhibitors (ICI) treatment. Compared with other biomarkers, such as TIDE and tumor inflammatory signatures (TIS), IRPDGs demonstrated to be a better biomarker for assessing the prognosis of ccRCC and the efficacy of ICI treatment with the promise in screening precise patients for specific immunotherapies.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkersHumansImmunotherapyPrognosisBiomarkersimmune checkpoint inhibitionIRPDGsprognostic biomarkerrenal clear cell carcinoma (ccRCC)tumor microenvironment

Identifiers

PMID35686121
PMCPMC9171405
OpenAlexW4281393838

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.