Evidence map›Paper›PMID 39301202›Full record

ArticleCancer innovation2024

Multiomics and single-cell sequencings reveal the specific biological characteristics of low Ki-67 triple-negative breast cancer.

Boyue Han, Xiangchen Han, Hong Luo, Javaria Nasir, Chao Chen, Zhiming Shao, Hong Ling, Xin Hu

Abstract read
In one paragraph

Article in Cancer innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

8 authors.

Boyue HanKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.ORCID 0000-0002-3064-0776
Xiangchen HanKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.
Hong LuoPrecision Cancer Medical Center Fudan University Shanghai Cancer Center Shanghai China.
Javaria NasirKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.
Chao ChenKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.
Zhiming ShaoKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.
Hong LingKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.ORCID 0000-0002-9513-3994
Xin HuKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery Fudan University Shanghai Cancer Center Shanghai China.ORCID 0000-0002-8160-8362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triple-negative breast cancer (TNBC) displays high heterogeneity. The majority of TNBC cases are characterized by high Ki-67 expression. TNBC with low Ki-67 expression accounts for only a small fraction of cases and has been relatively less studied. Methods: This study analyzed a large single-center multiomics TNBC data set, combined with a single-cell data set. The clinical, genomic, and metabolic characteristics of patients with low Ki-67 TNBC were analyzed. Results: The clinical and pathological characteristics were analyzed in 2217 TNBC patients. Low Ki-67 TNBC was associated with a higher patient age at diagnosis, a lower proportion of invasive ductal carcinoma, increased alterations in the PI3K-AKT-mTOR pathway, upregulated lipid metabolism pathways, and enhanced infiltration of M2 macrophages. High Ki-67 TNBC exhibited a higher prevalence of TP53 gene mutations, elevated nucleotide metabolism, and increased infiltration of M1 macrophages. Conclusions: We identified specific genomic and metabolic characteristics unique to low Ki-67 TNBC, which have implications for the development of precision therapies and patient stratification strategies.

Indexed as

genomicsKi‐67 indexmetabolic pathwaystriple‐negative breast cancer

Identifiers

PMID39301202
PMCPMC11411700

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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.