Evidence map›Paper›PMID 40997215›Full record

ArticleCancer biomarkers : section A of Disease markers2025

Tumour microbiota activities associated with local recurrence in ER + PR + breast cancer.

Sean Si Qian Ma, Luyi Ye, Fan Zhang, Tiansheng Xu, Zai-Si Ji, Enuo Liu

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Article in Cancer biomarkers : section A of Disease markers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sean Si Qian MaShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Luyi YeShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Fan ZhangDepartment of Bioinformatics, Shanghai OE Biotech Co., Ltd, Shanghai, China.
Tiansheng XuDepartment of Bioinformatics, Shanghai OE Biotech Co., Ltd, Shanghai, China.
Zai-Si JiShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Enuo LiuShanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Laboratory of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.ORCID 0000-0001-6146-0797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PurposeThis study aimed to compare tumour microbiota characteristics as potential recurrence predictors in estrogen receptor-positive (ER+) and progesterone receptor-positive (PR+) breast cancer.MethodsFormalin-fixed paraffin-embedded (FFPE) tumour tissues were obtained from 52 patients with ER + PR + breast cancer, and patients were retrospectively followed up for over 7 years. Patients were categorized into three groups: local recurrence (n = 13), distant metastasis (n = 17), and no recurrence (n = 22). Gene expression profiles and microbial activity in tumour tissues were analyzed by microarray and 16S rRNA sequencing, respectively, from the same total RNA extracted from FFPE samples.ResultsCompared to nonrecurrent tumours, the ratio of strict anaerobic bacteria

Indexed as

Breast NeoplasmsMicrobiotaNeoplasm Recurrence, LocalReceptors, ProgesteroneAdultAgedBiomarkers, TumorFemaleHumansMiddle AgedReceptors, EstrogenRetrospective StudiesRNA, Ribosomal, 16SBiomarkers, TumorReceptors, EstrogenReceptors, ProgesteroneRNA, Ribosomal, 16SBreast cancerlocal recurrencemuribaculaceaepseudomonastumour microbiota

Identifiers

PMID40997215
PMCPMC13085916

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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.