Evidence map›Paper›PMID 38800414›Full record

ArticleFrontiers in oncology2024

Patient-derived organoid elucidates the identical clonal origin of bilateral breast cancer with diverse molecular subtypes.

Zhongbin Han, Liangxue Yao, Yanhua Fang, Sijing Chen, Ruiqing Lian, Yongqiang Yao, Hongsheng Chen, Xuening Ji, Weiting Yu, Zhe Wang and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

12 authors.

Zhongbin Han *The Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Liangxue Yao *The Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Yanhua Fang *The Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Sijing ChenThe Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Ruiqing LianPathology Department, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Yongqiang YaoBreast and Thyroid Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Hongsheng ChenBreast and Thyroid Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Xuening JiOncology Department, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Weiting YuThe Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Zhe WangOncology Department, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Ruoyu WangThe Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.
Shanshan LiangThe Key Laboratory of Biomarker High Throughput Screening And Target Translation of Breast and Gastrointestinal Tumor, Affiliated Zhongshan Hospital of Dalian University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bilateral breast cancer (BBC), an infrequent breast cancer subtype, has primarily been studied in terms of incidence, prognosis, and through comparative analysis of synchronous (SBBC) and metachronous (MBBC) manifestations. The advent and application of organoid technology hold profound implications for tumor research and clinical management. This study represents the pioneering use of organoid models in BBC research. We established organoid lines from two surgical tumor specimens of a BBC patient, with one line undergoing detailed pathological and genomic analysis. The BBC organoid from the right breast demonstrated a marker expression profile of ER (-), PR (-), HER-2 (0), and Ki67 index 10%, indicating that it may derived from the TNBC tissue. Whole Exome Sequencing (WES) displayed consistent set of Top10 cancer driver genes affected by missense mutations, frameshift mutation, or splice site mutations in three tumor tissues and the organoid samples. The organoids' single nucleotide polymorphisms (SNPs) were more closely aligned with the TNBC tissue than other tumor tissues. Evolutionary analysis suggested that different tumor regions might evolve from a common ancestral layer. In this case, the development of BBC organoids indicated that simultaneous lesions with diverse molecular profiles shared a high degree of consistency in key tumor-driving mutations. These findings suggest the feasibility of generating BBC organoids representing various molecular types, accurately replicating significant markers and driver mutations of the originating tumor. Consequently, organoids serve as a valuable

Indexed as

bilateral breast cancerdriver mutationsevolutionmolecular subtypesorganoids

Identifiers

PMID38800414
PMCPMC11116675

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