Exposing the cellular situation: findings from single cell RNA sequencing in breast cancer DOI Creative Commons
Gaofeng Ni,

Xinhan Li,

Wenyang Nie

и другие.

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Март 6, 2025

Breast Cancer (BC) ranks among the top three most prevalent cancers globally and stands as principal contributor to cancer-related fatalities women. In spite of substantial occurrence rate BC, early stage this disease is generally regarded curable. However, intra-tumor heterogeneity presents a formidable obstacle success effective treatment. research, single cell RNA sequencing was utilized dissect tumor microenvironment within BC. Slingshot, CytoTRACE Monocle 2 were applied illustrate differentiation process each subpopulation in pseudotime sequence. To comprehensively comprehend cells (TCs) an analysis upstream transcription factors carried out via pySCENIC, while downstream pathway enrichment conducted through KEGG, GO GSEA. The prognosis model established based on bulk data obtained from TCGA GEO databases. Knock-down experiments also implemented explore function factor CEBPD TCs. Our in-depth identified eight types. Notably, TCs predominantly found epithelial cells. classification further uncovered five unique subpopulations, with one characterized by high UGDH expression. This shown possess distinct metabolic features metabolism-related investigations. intricate communication modalities different types effectively demonstrated means CellChat. Additionally, crucial factor, CEBPD, identified, which pronounced propensity towards tumors harbored potential tumor-advancing characteristics. Its role promoting cancer subsequently verified vitro knock-down experiments. Moreover, prognostic developed, risk score genes incorporated model. Through comparing prognoses UTRS levels, it determined that group had less favorable prognosis. These outcomes contributed elucidation complex interrelationships BC microenvironment. By specifically targeting certain subpopulations TCs, novel treatment strategies could potentially be devised. study shed light direction future research should take, furnishing valuable information can enhance regimens.

Язык: Английский

Intra-tumoral bacteria in breast cancer and intervention strategies DOI
Ting Hou, Xiaoling Huang,

Jiahui Lai

и другие.

Advanced Drug Delivery Reviews, Год журнала: 2025, Номер unknown, С. 115516 - 115516

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Circular RNAs modulate cancer drug resistance: advances and challenges DOI Open Access

Jinghan Hua,

Zhe Wang, Xiangfei Cheng

и другие.

Cancer Drug Resistance, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Acquired drug resistance is a main factor contributing to cancer therapy failure and high mortality, highlighting the necessity develop novel intervention targets. Circular RNAs (circRNAs), an abundant class of RNA molecules with closed loop structure, possess characteristics including stability, which provide unique advantages in clinical application. Growing evidence indicates that aberrantly expressed circRNAs are associated against various treatments, targeted therapy, chemotherapy, radiotherapy, immunotherapy. Therefore, targeting these aberrant may offer strategy improve efficiency therapy. Herein, we present summary most recently studied their regulatory roles on resistance. With advances artificial intelligence (AI)-based bioinformatics algorithms, could emerge as promising biomarkers targets

Язык: Английский

Процитировано

0
Fecal bacterial biomarkers and blood biochemical indicators as potential key factors in the development of colorectal cancer DOI Creative Commons
Ping Cai,

Qingzhen Yang,

Jiaqi Lü

и другие.

mSystems, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

ABSTRACT The incidence of colorectal cancer (CRC) has been increasing in recent decades. Current methods for CRC screening have their own drawbacks, thus there is an urgent need to identify the key microbes that drive development wider application early detection and prevention CRC. To address this issue, we performed fecal microbiome analysis by high-throughput sequencing 16S rRNA gene combined with blood biochemical indicators patients stages I, II, III, IV, healthy people, polyps. Fecal microbiota was disturbed, as evidenced significantly reduced α-diversity stage IV markedly different β-diversity. random forest model identified top 25 genera from 174 training data, resulting a diagnostic accuracy 87.95%. Further, combining differential analysis, screened out 11 biomarkers changed groups. Peptostreptococcus , Parvimonas Shewanella Oscillibacter Eggerthella Gemella associated were enriched, while Fenollaria Staphylococcus Ezakiella Finegoldia, Neisseria remission suppressed Importantly, carcinoembryonic antigen (CEA) correlated these microbial biomarkers, carbohydrate 19-9 (CA 19-9) . Notably, co-occurrence network at genus level exhibited most complex stable. These results suggested CEA, CA may be co-biomarkers disease occurrence development, non-invasive diagnosis IMPORTANCE Identifying important field. We delved into research on association between study, providing detailed characteristics during transition normal intestine polyps cancer. bacterial

Язык: Английский

Процитировано

0
Decoding the Tumor-Associated Microbiota: From Origins to Nanomedicine Applications in Cancer Therapy DOI Creative Commons

Ruiqi Wang,

Weizheng Li, Hongqian Cao

и другие.

Biology, Год журнала: 2025, Номер 14(3), С. 243 - 243

Опубликована: Фев. 27, 2025

Growing evidence reveals that the tumor microbiome—comprising distinct microbial communities within neoplastic tissues—exerts a profound influence on cancer initiation, progression, and therapeutic response. These microbes actively reshape microenvironment (TME) through metabolite secretion, modulation of immune pathways, direct interactions with host cells, thereby affecting biology outcomes. Despite substantial heterogeneity among types, recent insights underscore microbiome’s potential as both diagnostic/prognostic biomarker targetable component for innovative treatments. In this review, we synthesize emerging knowledge mechanistic roles tumor-associated microbiota in shaping TME, focus how these discoveries can guide novel strategies. We further explore interdisciplinary advances, including convergence microbiomics nanotechnology, to enhance drug delivery, circumvent resistance, foster TME remodeling. By highlighting cutting-edge developments, our review underscores transformative integrating microbiome research into precision oncology advancing more personalized therapies.

Язык: Английский

Процитировано

0
Exposing the cellular situation: findings from single cell RNA sequencing in breast cancer DOI Creative Commons
Gaofeng Ni,

Xinhan Li,

Wenyang Nie

и другие.

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Март 6, 2025

Breast Cancer (BC) ranks among the top three most prevalent cancers globally and stands as principal contributor to cancer-related fatalities women. In spite of substantial occurrence rate BC, early stage this disease is generally regarded curable. However, intra-tumor heterogeneity presents a formidable obstacle success effective treatment. research, single cell RNA sequencing was utilized dissect tumor microenvironment within BC. Slingshot, CytoTRACE Monocle 2 were applied illustrate differentiation process each subpopulation in pseudotime sequence. To comprehensively comprehend cells (TCs) an analysis upstream transcription factors carried out via pySCENIC, while downstream pathway enrichment conducted through KEGG, GO GSEA. The prognosis model established based on bulk data obtained from TCGA GEO databases. Knock-down experiments also implemented explore function factor CEBPD TCs. Our in-depth identified eight types. Notably, TCs predominantly found epithelial cells. classification further uncovered five unique subpopulations, with one characterized by high UGDH expression. This shown possess distinct metabolic features metabolism-related investigations. intricate communication modalities different types effectively demonstrated means CellChat. Additionally, crucial factor, CEBPD, identified, which pronounced propensity towards tumors harbored potential tumor-advancing characteristics. Its role promoting cancer subsequently verified vitro knock-down experiments. Moreover, prognostic developed, risk score genes incorporated model. Through comparing prognoses UTRS levels, it determined that group had less favorable prognosis. These outcomes contributed elucidation complex interrelationships BC microenvironment. By specifically targeting certain subpopulations TCs, novel treatment strategies could potentially be devised. study shed light direction future research should take, furnishing valuable information can enhance regimens.

Язык: Английский

Процитировано

0