Evidence map›Paper›PMID 34277633›Full record

ArticleFrontiers in cell and developmental biology2021

Uncovering the Subtype-Specific Molecular Characteristics of Breast Cancer by Multiomics Analysis of Prognosis-Associated Genes, Driver Genes, Signaling Pathways, and Immune Activity.

Xinhui Li, Jian Zhou, Mingming Xiao, Lingyu Zhao, Yan Zhao, Shuoshuo Wang, Shuangshu Gao, Yuan Zhuang, Yi Niu, Shijun Li and 4 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Suppressive Potential ofInternational journal of molecular and cellular medicine · 2024
    Article
  7. mRNA vaccination in breast cancer: current progress and future direction.Journal of cancer research and clinical oncology · 2023
    Review
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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

14 authors.

Xinhui LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jian ZhouSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Mingming XiaoDepartment of Pathology, The People's Hospital of Liaoning Province, Shenyang, China.
Lingyu ZhaoDepartment of Pathology, Harbin Medical University, Harbin, China.
Yan ZhaoDepartment of Oncology, Chifeng City Hospital, Chifeng, China.
Shuoshuo WangDepartment of Pathology, Harbin Medical University, Harbin, China.
Shuangshu GaoDepartment of Pathology, Harbin Medical University, Harbin, China.
Yuan ZhuangDepartment of Pathology, Harbin Medical University, Harbin, China.
Yi NiuDepartment of Oncology, Chifeng City Hospital, Chifeng, China.
Shijun LiDepartment of Pathology, Chifeng City Hospital, Chifeng, China.
Xiaobo LiDepartment of Pathology, Harbin Medical University, Harbin, China.
Yuanyuan ZhuDepartment of Pathology, Harbin Medical University, Harbin, China.
Minghui ZhangDepartment of Oncology, Chifeng City Hospital, Chifeng, China.
Jing TangDepartment of Pathology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous malignant disease with different prognoses and has been divided into four molecular subtypes. It is believed that molecular events occurring in breast stem/progenitor cells contribute to the carcinogenesis and development of different breast cancer subtypes. However, these subtype-specific molecular characteristics are largely unknown. In this study, we employed 1217 breast cancer samples from The Cancer Genome Atlas (TCGA) database for a multiomics analysis of the molecular characteristics of different breast cancer subtypes based on PAM50 algorithms. We detected the expression changes of subtype-specific genes and revealed that the expression of particular subtype-specific genes significantly affected prognosis. We also investigated the mutations and copy number variations (CNVs) of breast cancer driver genes and the representative genes of ten signaling pathways in different subtypes and revealed several subtype-specifically altered genes. Moreover, we detected the infiltration of various immune cells in different subtypes of breast cancer and showed that the infiltration levels of major immune cell types are different among these subtypes. Additionally, we investigated the factors affecting the immune infiltration level and the immune cytolytic activity in different breast cancer subtypes, namely, the mutation burden, genome instability and cancer-associated fibroblast (CAF) infiltration. This study may shed light on the molecular events contributing to carcinogenesis and development and provide potential markers and targets for the clinical diagnosis and treatment of different breast cancer subtypes.

Indexed as

breast cancerdriver geneimmune infiltrationmolecular subtypesprognosis

Identifiers

PMID34277633
PMCPMC8280810

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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.