Evidence map›Paper›PMID 36805828›Full record

ArticleEuropean journal of medical research2023

The prognostic value of tumor mutation burden (TMB) and its relationship with immune infiltration in breast cancer patients.

Shengjin Cui, Jingying Feng, Xi Tang, Shuang Lou, Weiquan Guo, Xiaowei Xiao, Shuping Li, Xue Chen, Yu Huan, Yiwen Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. ANKRD1 expression and functional mechanism in stomach adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

11 authors at 1 institution in 1 country.

Shengjin Cui *Department of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Jingying Feng *Department of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Xi TangDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Shuang LouDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Weiquan GuoDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Xiaowei XiaoDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Shuping LiDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Xue ChenDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Yu HuanDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China.
Yiwen ZhouDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China. yiwenzhou21@aliyun.com.
Lijia XiaoDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, No. 1333 of Xinhu Road, Shenzhen, 518101, Guangdong, China. x190791844@126.com.
Southern Medical University Shenzhen Hospital · CN

Funding

Basic Medical and Health Research Project of Baoan District 2020JD428Natural Science Foundation of Guangdong Province 2019A1515012079Technology Planning Project of Shenzhen JCYJ20140415151845365
6 · The paper itself

Abstract

objectiveAlthough the tumor mutation burden (TMB) was reported as a biomarker for immunotherapy of various cancers, whether it can effectively predict the survival prognosis in breast cancer patients remains unclear. In this study, the prognostic value of TMB and its correlation with immune infiltration were explored by using multigroup studies.

methodsThe somatic mutation data of 986 breast cancer patients were obtained from TCGA database. Breast cancer patients were divided into a low-TMB group and a high-TMB group according to the quartile of TMB scores. The differentially expressed genes (DEGs) were identified by the "limma" R program. The CIBERSORT algorithm was utilized to estimate the immune cell fraction of each sample. The TIMER database was utilized to evaluate the association between CNVs of immune genes and tumor immune cell infiltration and the prognostic value of the immune cells in breast cancer.

resultsIn breast cancer, TP53, PIK3CA, TTN, CDH1 and other genes were the most important mutated genes. Higher survival rate of patients was found in the low-TMB group. Among the top 10 DEGs, three of them belong to the KRT gene family. GSEA enrichment analysis showed that MAPK, Hedgehog, mTOR, TGF-bate and GnRH signaling pathways were enriched in the low-TMB group. The infiltration levels of the most of immune cells were higher in the low-TMB group (P < 0.01). Higher expression of CCL18 and TRGC1 was correlated with poor prognosis. Breast cancer patients with CCL18 copy number variations, especially arm-level gains, showed significantly decreased immune cell infiltration. In the low B cell infiltration group, the survival prognosis of breast cancer patients was poor.

conclusionsTMB is a potential prognosis marker in breast cancer. Immune-related gene CCL18 and TRGC1 are biomarkers of poor prognosis while immune (B cell) infiltration is a biomarker of good prognosis.

Indexed as

Breast NeoplasmsAlgorithmsDNA Copy Number VariationsFemaleHumansMutationPrognosisBreast cancerImmune infiltrateSurvivalTumor mutation burden (TMB)

Identifiers

PMID36805828
PMCPMC9940352
OpenAlexW4321373555

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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.