Evidence map›Paper›PMID 39462368›Full record

ReviewCancer cell international2024

The development of the occurrence and metastasis of breast cancer by single-cell sequencing.

Man Chen, Mengya Feng, Hai Lei, Dan Mo, Shengnan Ren, Dechun Yang

Abstract readReview
In one paragraph

Review in Cancer cell international, 2024. 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. [Application progress of single-cell RNA sequencing technology in breast development and related diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
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

6 authors.

Man Chen *Department of Breast Surgery, Caner Hospital of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Mengya Feng *Department of Breast Surgery, The People's Hospital of Chuxiong Yi Autonomous Prefecture, No. 318 Lucheng South Road, Chuxiong, Yunnan, China.
Hai LeiDepartment of Breast Surgery, The People's Hospital of Chuxiong Yi Autonomous Prefecture, No. 318 Lucheng South Road, Chuxiong, Yunnan, China.
Dan MoDepartment of Breast Surgery, The People's Hospital of Chuxiong Yi Autonomous Prefecture, No. 318 Lucheng South Road, Chuxiong, Yunnan, China. 646324947@qq.com.
Shengnan RenDepartment of Breast Surgery, Caner Hospital of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming, China. ShengnanRen@jlu.edu.cn.
Dechun YangDepartment of Breast Surgery, Caner Hospital of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming, China. ydchun2021@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is currently the most frequent malignant tumor and the leading cause of cancer death among women globally. Although the five-year survival rate for early breast cancer has risen to more than 90%, medication resistance persists in advanced breast cancer and some intractable breast cancer, resulting in a poor prognosis, a high recurrence rate, and a low survival rate. Single-cell sequencing (SCS) is the study of a single cell's gene structure and expression level differences in order to discover unusual molecular subgroups, disease development, and a variety of mechanisms. This review briefly discusses single-cell sequencing and its application, and lists the research on single-cell sequencing in the development and metastasis of breast cancer, in order to bring fresh ideas for the comprehensive treatment of breast cancer.

Indexed as

Breast cancerSingle-cell sequencingTumor metastasisTumor occurrence

Identifiers

PMID39462368
PMCPMC11515250

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.