Evidence map›Paper›PMID 33527024›Full record

ArticleAmerican journal of translational research2021

CARD11 alteration as a candidate biomarker of skin cutaneous melanoma treated with immune checkpoint blockade.

Yutian Si, Anqi Lin, Weimin Ding, Hui Meng, Peng Luo, Jian Zhang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. 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
0.7field-weighted citation impact, top 26% 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

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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, 8 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.

Yutian SiDepartment of Oncology, Zhujiang Hospital, Southern Medical University Guangzhou 510282, China.
Anqi LinDepartment of Oncology, Zhujiang Hospital, Southern Medical University Guangzhou 510282, China.
Weimin DingDepartment of Oncology, Zhujiang Hospital, Southern Medical University Guangzhou 510282, China.
Hui MengDepartment of Oncology, Zhujiang Hospital, Southern Medical University Guangzhou 510282, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University Guangzhou 510282, China.
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University Guangzhou 510282, China.
Zhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) can be problematic, including a lack of sustained clinical response, in the treatment of skin cutaneous melanoma (SKCM) patients; therefore, predictive biomarkers are urgently needed. Recently, gene mutations identified by melanoma genomic analysis have shown great predictive potential.

methodsWe collected an immunotherapy cohort and The Cancer Genome Atlas (TCGA)-SKCM cohort from published studies and tested the predictive function of the CARD11 mutation. We then further studied the association between the CARD11 mutation and tumor immunogenicity by studying related genes and pathways in the tumor microenvironment (TME).

resultsIn the immunotherapy and TCGA-SKCM cohorts, patients with CARD11-mutant (MT) tumors had longer overall survival (OS) and a better prognosis than those with CARD11-wild-type (WT) tumors. CARD11-MT tumors had higher immunogenicity, and gene expression related to immunosuppression was significantly downregulated in CARD11-MT tumors. We found that immunosuppression-related pathways were significantly downregulated in CARD11-MT tumors, while immune activation-related pathways were significantly upregulated. Additionally, CARD11-MT tumors had more DNA damage response and repair (DDR) pathway mutations.

conclusionsCARD11 mutation is associated with longer OS and a better prognosis after ICI treatment. Therefore, the CARD11 gene can be used as a biomarker for predicting the efficacy of ICIs in SKCM patients.

Indexed as

biomarkerCARD11immune checkpoint inhibitorsprognosisskin cutaneous melanoma

Identifiers

PMID33527024
PMCPMC7847528
OpenAlexW3195672559

What OpenQuestion holds

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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.