Evidence map›Paper›PMID 34849012›Full record

ArticleInternational journal of general medicine2021

CSMD1 Mutation Related to Immunity Can Be Used as a Marker to Evaluate the Clinical Therapeutic Effect and Prognosis of Patients with Esophageal Cancer.

Xin Fan, Jianxiong Song, Yating Fan, Jiaqi Li, Yutao Chen, Huanhuan Zhu, Zhiyuan Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 14 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

7 authors at 1 institution in 1 country.

Xin FanDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, The First Clinical Medical College of Nanchang University, Nanchang, 330000, People's Republic of China.ORCID 0000-0003-4745-0837
Jianxiong SongDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, The First Clinical Medical College of Nanchang University, Nanchang, 330000, People's Republic of China.
Yating FanDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, The First Clinical Medical College of Nanchang University, Nanchang, 330000, People's Republic of China.
Jiaqi LiSchool of Stomatology, Nanchang University, Nanchang, 330000, People's Republic of China.
Yutao ChenDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, The First Clinical Medical College of Nanchang University, Nanchang, 330000, People's Republic of China.
Huanhuan ZhuDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, The First Clinical Medical College of Nanchang University, Nanchang, 330000, People's Republic of China.
Zhiyuan ZhangDepartment of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, The First Clinical Medical College of Nanchang University, Nanchang, 330000, People's Republic of China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs a highly aggressive tumor with a poor prognosis, esophageal cancer (ESCA)'s relationship with gene mutations is unclear. Therefore, we tried to explore the role of gene mutation in ESCA progression and its relationship with immune response, clinical treatment, and prognosis.

methodsIn addition to copy number variation (CNV) situations of common genes obtained from 2 public databases, the relationship between mutations and prognosis/tumor mutational burden (TMB) was also analyzed. Kaplan-Meier survival and Cox regression analysis were used to identify the CSMD1 mutation status as an independent predictor of prognosis. We also enriched related functions and pathways. Next, the relationship between 22 immune cells and CSMD1 mutation status was analyzed. In addition to the differences in the expression levels of immune checkpoint inhibitors (ICIs)-related genes between the high TMB and low TMB groups, the differences in the expression levels of ICIs/m6a/multi-drug resistance-related genes and the sensitivity of three chemotherapeutic drugs between CSMD1 mutant and the wild group were also compared. In addition to differences and prognostic analysis of CSMD1 expression, the correlation analysis between the expression of these genes/immune cells and the expression of CSMD1 was also performed. Finally, a nomogram that could efficiently and conveniently predict the survival probability of ESCA patients was constructed and verified.

resultsWe obtained 17 frequently mutated genes distribution. Mutation and loss of CSMD1 are frequent in ESCA. Only CSMD1 mutation can be used as an independent predictor of poor prognosis. Patients in the high TMB group have a lower survival probability. Wild CSMD1 may be involved in immune-related pathways. More helper T cells and fewer resting state dendritic cells were found in the CSMD1 mutant group. The PD-1 expression in the high TMB group showed higher. Paclitaxel sensitivity and ABCC1 expression were higher in the wild CSMD1 group. Most cancers show differential expression of CSMD1. Except for the prognosis of ESCA, the expression of CSMD1 is related to immune cell content and the expression of ICIs/m6a/multi-drug resistance related genes. DISCUSSION: CSMD1 mutation could be used as an immune-related biomarker to predict prognosis and treatment effect of paclitaxel. Mutation and loss of CSMD1 may promote the progression of ESCA.

Indexed as

CSMD1esophageal cancerprognosisTMBtumor-infiltrating immune cells

Identifiers

PMID34849012
PMCPMC8627272
OpenAlexW3215838496

What OpenQuestion holds

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LicenceCC BY-NC
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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.