ArticleJournal of translational medicine2026
Intratumoral microbiota exhibiting varied responses to neoadjuvant chemotherapy in triple-negative breast cancer revealed by 2bRAD-M.
Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeoadjuvant chemotherapy (NACT) is the conventional therapy for early-stage and locally advanced triple-negative breast cancer (TNBC). Pathological complete response (pCR) serves as an essential indicator for predicting the effectiveness of NACT; however, a limited percentage of patients benefit from NACT. This research examined variations in the tumor microbiota between the pCR and non-pCR groups via 2BRAD sequencing for microbiome (2bRAD-M) technology and assessed the potential of the microbiota as a biomarker for predicting the NACT response.
methodsA total of 44 TNBC patients were enrolled, of whom 25 achieved pCR and 19 were classified as non-pCR patients. Clinical data were collected, tumor tissue was biopsied as sample, and DNA was extracted. The 2bRAD-M sequencing method was used to analyse the microbial communities and community structures of tumor tissues in both groups, conduct microbial diversity and differential analyses, and perform qualitative and quantitative studies on the microbes inside the tissues.
resultsA total of 1,896 microbial species were identified. The microbial diversity in non-pCR tissue exceeded that in pCR patient tissue. The microbial composition of the tumor tissues in both groups was comparable. In the non-pCR group, there were significantly more gram-negative bacteria, such as Klebsiella, Escherichia, Acinetobacter, Vibrio, and Meiothermus, than in the pCR group. Calidithermus chliarophilus, Meiothermus sp.003226535, and Escherichia coli were identified as the three principal species distinguishing the two groups. Seven species were identified as markers to distinguish between non-pCRs and pCRs, with an AUC value of 90.3%. Validation in an independent cohort via qPCR indicated the potential predictive value of this seven-species model, yielding an AUC of 84%. Functional annotation analysis revealed 3,207 differentially expressed COGs and 230 differentially enriched signalling pathways across the non-pCR and pCR microbiomes. In vitro experiments suggested that lipopolysaccharide may contribute to doxorubicin and paclitaxel resistance in MDA-MB-231 cells, a process potentially linked to the reactivation of the PI3K/AKT signaling pathway.
conclusionThis exploratory 2bRAD-M microbiome study of pCR and non-pCR tissues from TNBC patients receiving NACT identified significant differences in microbial environments between the two groups. Based on these findings, we developed a predictive model for chemotherapy effectiveness and highlighted the microbiome's potential as a biomarker for the efficacy of NACT in TNBC patients, offering novel insights that may inform future clinical diagnostic strategies.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.