Evidence map›Paper›PMID 38341511›Full record

ArticleBritish journal of cancer2024

Organoid forming potential as complementary parameter for accurate evaluation of breast cancer neoadjuvant therapeutic efficacy.

Hai-Shan Ye, Dan Zhou, Hong Li, Jin Lv, Hui-Qi Huang, Jia-Jun She, Jun-Hua Nie, Ting-Ting Li, Meng-Di Lu, Bo-Le Du and 6 more

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.Journal of experimental & clinical cancer research : CR · 2025
    Review
  5. Organoids in breast cancer translational research: intersection of technologies.Translational breast cancer research : a journal focusing on translational research in breast cancer · 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

16 authors at 3 institutions in 1 country.

Hai-Shan Ye *School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Dan Zhou *Department of Breast Surgery, The First People's Hospital of Foshan, Foshan, 528100, China.
Hong LiBiomedical Laboratory, Guangzhou Jingke BioTech Group, Guangzhou, 510005, China.
Jin LvDepartment of Pathology, The First People's Hospital of Foshan, Foshan, 528100, China.
Hui-Qi HuangDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, 528100, China.
Jia-Jun SheInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, 528100, China.
Jun-Hua NieSchool of Medicine, South China University of Technology, Guangzhou, 510006, China.
Ting-Ting LiBiomedical Laboratory, Guangzhou Jingke BioTech Group, Guangzhou, 510005, China.
Meng-Di LuSchool of Medicine, South China University of Technology, Guangzhou, 510006, China.
Bo-Le DuBiomedical Laboratory, Guangzhou Jingke BioTech Group, Guangzhou, 510005, China.
Shu-Qing YangDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, 528100, China.
Pei-Xian ChenDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, 528100, China.
Sheng LiBiomedical Laboratory, Guangzhou Jingke BioTech Group, Guangzhou, 510005, China.
Guo-Lin YeDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, 528100, China. yglin@fsyyy.com.ORCID 0000-0002-6922-3435
Wei LuoInstitute of Translational Medicine, The First People's Hospital of Foshan, Foshan, 528100, China. luowei_421@163.com.ORCID 0000-0002-8836-3804
Jia LiuSchool of Medicine, South China University of Technology, Guangzhou, 510006, China. mcliujia@scut.edu.cn.ORCID 0000-0003-2755-7709
First People's Hospital of Foshan · CNSouth China University of Technology · CNDalian Medical University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81272786
6 · The paper itself

Abstract

background13-15% of breast cancer/BC patients diagnosed as pathological complete response/pCR after neoadjuvant systemic therapy/NST suffer from recurrence. This study aims to estimate the rationality of organoid forming potential/OFP for more accurate evaluation of NST efficacy.

methodsOFPs of post-NST residual disease/RD were checked and compared with clinical approaches to estimate the recurrence risk. The phenotypes of organoids were classified via HE staining and ER, PR, HER2, Ki67 and CD133 immuno-labeling. The active growing organoids were subjected to drug sensitivity tests.

resultsOf 62 post-NST BC specimens, 24 were classified as OFP-I with long-term active organoid growth, 19 as OFP-II with stable organoid growth within 3 weeks, and 19 as OFP-III without organoid formation. Residual tumors were overall correlated with OFP grades (P < 0.001), while 3 of the 18 patients (16.67%) pathologically diagnosed as tumor-free (ypT0N0M0) showed tumor derived-organoid formation. The disease-free survival/DFS of OFP-I cases was worse than other two groups (Log-rank P < 0.05). Organoids of OFP-I/-II groups well maintained the biological features of their parental tumors and were resistant to the drugs used in NST.

conclusionsThe OFP would be a complementary parameter to improve the evaluation accuracy of NST efficacy of breast cancers.

Indexed as

Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansNeoadjuvant TherapyErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID38341511
PMCPMC10991527
OpenAlexW4391716597

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.