Research Progress on the Relationship between Intestinal Flora and Gastrointestinal Malignancy DOI

军 陈

Advances in Clinical Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 262 - 268

Published: Jan. 1, 2024

Language: Английский

Advances in 16S rRNA‐Based Microbial Biomarkers for Gastric Cancer Diagnosis and Prognosis DOI Creative Commons
Yingying Wang,

Xunan Qiu,

Aining Chu

et al.

Microbial Biotechnology, Journal Year: 2025, Volume and Issue: 18(2)

Published: Feb. 1, 2025

ABSTRACT Gastric cancer (GC) is a malignant tumour with high morbidity and mortality worldwide, there an urgent need for early diagnosis precision treatment. In recent years, the role of microbiota in occurrence development GC has drawn extensive attention. Particularly, in‐depth study GC‐related by 16S rRNA sequencing technology offered valuable tools new perspectives exploring microbial characteristics patients. This review systematically summarises diversity composition non‐GC samples based on data, outlines progress identifying biomarkers, explores potential mechanisms which diagnostic biomarkers influence GC, reflects limitations present studies. By integrating current evidence, this intends to offer theoretical foundation further direction clinical translation research treatment GC.

Language: Английский

Citations

0
Nanomaterials in gastric cancer: pioneering precision medicine for diagnosis, therapy, and prevention DOI

Tiantian Liu,

Ying-Qiu Gu, Zaili Yang

et al.

Medical Oncology, Journal Year: 2025, Volume and Issue: 42(4)

Published: March 6, 2025

Language: Английский

Citations

0
Revealing gut microbiota biomarkers associated with melanoma immunotherapy response and key bacteria-fungi interaction relationships: evidence from metagenomics, machine learning, and SHAP methodology DOI Creative Commons
Yuhang Zhou, Wenjie Han,

Yun Feng

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: March 18, 2025

The gut microbiota is associated with the response to immunotherapy in cutaneous melanoma (CM). However, fungal biomarkers and bacterial-fungal interactions have yet be determined. Metagenomic sequencing data of stool samples collected before from three independent groups European ancestry CM patients were collected. After characterizing relative abundances bacteria fungi, Linear Discriminant Analysis Effect Size (LEfSe) analysis, Random Forest (RF) model construction, SHapley Additive exPlanations (SHAP) methodology applied identify key responders CM. Diversity analysis revealed significant differences bacterial composition between non-responders. LEfSe identified 45 4 taxa as potential biomarkers. constructing RF model, AUC models built using separately 0.64 0.65, respectively. when combined, merged increased 0.71. In following important biomarkers: Romboutsia, Endomicrobium, Aggregatilinea, Candidatus Moduliflexus, Colwellia, Akkermansia, Mucispirillum, Rutstroemia, which responders, whereas Zancudomyces was Moreover, positive correlation interaction Akkermansia Rutstroemia considered a response. Our results provide valuable insights for enrichment patients. this study highlights critical role immunotherapy.

Language: Английский

Citations

0
Advances in the study of the role of gastric microbiota in the progression of gastric cancer DOI Creative Commons
Yu Ye, Bin Ba, Pengfei Chen

et al.

Microbial Pathogenesis, Journal Year: 2024, Volume and Issue: 199, P. 107240 - 107240

Published: Dec. 19, 2024

Language: Английский

Citations

2
Research Progress on the Relationship between Intestinal Flora and Gastrointestinal Malignancy DOI

军 陈

Advances in Clinical Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 262 - 268

Published: Jan. 1, 2024

Language: Английский

Citations

0