Evidence map›Paper›PMID 38963643›Full record

ArticleJournal of gastrointestinal cancer2024

The Novel-B-Cell-Related Gene Signature Predicts the Prognosis and Immune Status of Patients with Esophageal Carcinoma.

Xinhong Li, Tongyu Sun, Hongyan Li, Juan Liu, Na Huang, Surong Liu

Abstract read
In one paragraph

Article in Journal of gastrointestinal cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Xinhong LiDepartment of Oncohematology, Norinco General Hospital, Xi'an, Shaanxi, 710061, China.
Tongyu SunHepatobiliary and Vascular Surgery, Norinco General Hospital, Xi'an, Shaanxi, 710061, China.
Hongyan LiDepartment of Radiology, Norinco General Hospital, Xi'an, Shaanxi, 710061, China.
Juan LiuDepartment of Oncohematology, Norinco General Hospital, Xi'an, Shaanxi, 710061, China.
Na HuangNational & Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Surong LiuDepartment of Oncohematology, Norinco General Hospital, Xi'an, Shaanxi, 710061, China. 460214010@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current understanding of the prognostic significance of B cells and their role in the tumor microenvironment (TME) in esophageal carcinoma (ESCA) is limited.

methodsWe conducted a screening for B-cell-related genes through the analysis of single-cell transcriptome data. Subsequently, we developed a B-cell-related gene signature (BRGrisk) using LASSO regression analysis. Patients from The Cancer Genome Atlas cohort were divided into a training cohort and a test cohort. Patients were categorized into high- and low-risk groups based on their median BRGrisk scores. The overall survival was assessed using the Kaplan-Meier method, and a nomogram based on BRGrisk was constructed. Immune infiltration profiles between the risk groups were also compared.

resultsThe BRGrisk prognostic model indicated significantly worse outcomes for patients with high BRGrisk scores (p < 0.001). The BRGrisk-based nomogram exhibited good prognostic performance. Analysis of immune infiltration revealed that patients in the high-BRGrisk group had notably higher levels of immune cell infiltration and were more likely to be in an immunoresponsive state. Enrichment analysis showed a strong correlation between the prognostic gene signature and cancer-related pathways. IC50 results indicated that patients in the low-BRGrisk group were more responsive to common drugs compared to those in the high-BRGrisk group.

conclusionsThis study presents a novel BRGrisk that can be used to stratify the prognosis of ESCA patients and may offer guidance for personalized treatment strategies aimed at improving prognosis.

Indexed as

Esophageal NeoplasmsTranscriptomeTumor MicroenvironmentAgedBiomarkers, TumorB-LymphocytesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNomogramsPrognosisBiomarkers, TumorB-cell marker genesEsophageal carcinomaImmunotherapyPrognostic signatureSingle-cell RNA sequencing

Identifiers

PMID38963643
PMCPMC11347472

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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.