Evidence map›Paper›PMID 37237274›Full record

ArticleBMC medical genomics2023

Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer.

Yan Zhao, Xiaolong Liang, Xudong Duan, Chengli Zhang

Abstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Yan ZhaoDepartment of Nuclear Medicine, Zigong First People's Hospital, Zigong, 643000, Sichuan, PR China.
Xiaolong LiangDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China.
Xudong DuanOncology Department, Zigong First People's Hospital, Zigong, 643000, Sichuan, PR China. 724053460@qq.com.
Chengli ZhangDepartment of Nuclear Medicine, Zigong First People's Hospital, Zigong, 643000, Sichuan, PR China. chenllysmall@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor mutation burden (TMB) level is identified as a useful predictor in multiple tumors including colon adenocarcinoma (COAD). However, the function of TMB related genes has not been explored previously. In this study, we obtained patients' expression and clinical data from The Cancer Genome Atlas (TCGA) and the National Center for Biotechnology Information (NCBI). TMB genes were screened and subjected to differential expression analysis. Univariate Cox and LASSO analyses were utilized to construct the prognostic signature. The efficiency of the signature was tested by using a receiver operating characteristic (ROC) curve. A nomogram was further plotted to assess the overall survival (OS) time of patients with COAD. In addition, we compared the predictive performance of our signature with other four published signatures. Functional analyses indicated that patients in the low-risk group have obviously different enrichment of tumor related pathways and tumor infiltrating immune cells from that of high-risk patients. Our findings suggested that the ten genes' prognostic signature could exert undeniable prognostic functions in patients with COAD, which might provide significant clues for the development of personalized management of these patients.

Indexed as

AdenocarcinomaColonic NeoplasmsHumansPrognosisROC CurveColon cancerPrognosisRisk signatureTumor mutation burden

Identifiers

PMID37237274
PMCPMC10214595

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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.