How is single-cell RNA sequencing contributing to the advancement of cancer therapeutics?
1/5 보강
The study of Tang investigated the distribution and dynamic changes of cell populations in the tumor microenvironment of gastric cancer (GC) patients using single-cell RNA sequencing (scRNA-seq).
APA
Jeong KY (2025). How is single-cell RNA sequencing contributing to the advancement of cancer therapeutics?. World journal of gastrointestinal oncology, 17(4), 103480. https://doi.org/10.4251/wjgo.v17.i4.103480
MLA
Jeong KY. "How is single-cell RNA sequencing contributing to the advancement of cancer therapeutics?." World journal of gastrointestinal oncology, vol. 17, no. 4, 2025, pp. 103480.
PMID
40235873 ↗
Abstract 한글 요약
The study of Tang investigated the distribution and dynamic changes of cell populations in the tumor microenvironment of gastric cancer (GC) patients using single-cell RNA sequencing (scRNA-seq). This comprehensive analysis highlights key interactions within the tumor microenvironment across different GC stages. Discussing applications of scRNA-seq data in clinical settings could pave the way for developing promising and personalized therapeutic strategies for GC patients. Therefore, further exploration of selecting anticancer drug candidates through gene screening derived from scRNA-seq will provide deeper insights into GC care.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
- Advances in Targeted Therapy for Human Epidermal Growth Factor Receptor 2-Low Tumors: From Trastuzumab to Antibody-Drug Conjugates.
- Blocking SHP2 benefits FGFR2 inhibitor and overcomes its resistance in -amplified gastric cancer.
- Association of preoperative frailty and prognostic nutritional index with postoperative delirium in elderly gastric cancer patients: A single-center observational study.
- Patient-Perceived Overall Side Effect Bother at and After Cancer Treatment Discontinuation: An Analysis Using Commercial Cancer Trial Data.
- The Barriers and Enablers to Participation in Oncology Clinical Trials for Ethnically Diverse Communities: A Qualitative Systematic Review Using Metaethnography.
- A novel real-world data methodology for lymphoma outcome classification: the real-world Lugano study.