인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Neoadjuvant chemotherapy combined with immunotherapy (NACI) has shown promise in oesophageal squamous cell carcinoma (ESCC). However, a significant proportion of patients exhibit resistance to NACI, and the underlying mechanisms remain unresolved. Methods We integrated single‐cell RNA sequencing data, including seven patients with ESCC treated with NACI and 69 patients with ESCC treated with surgery alone. Bulk RNA sequencing data were obtained from a public database. Immunohistochemistry and multiplexed immunofluorescence staining were performed to verify the role of important immune cells and molecules in clinical treatment outcomes. Results Here, we profiled the transcriptomes of 512 736 cells from 76 patients with ESCC, revealing that the nonresponder baseline tumour microenvironment exhibited a relative absence of major histocompatibility complex II molecules expressed on CD20 + B cells and a low expression of CXCL13 on CD4_Tfh and CD8_Tex cells. We also identified CD68 + CD163 + macrophages that highly expressed the immunosuppressive LGALS9 gene and preferentially accumulated in the nonresponders after NACI treatment. In addition, nonresponders had a higher baseline fraction of POSTN + fibroblasts, which is associated with higher infiltration of CD68 + CD163 + macrophages and lower infiltration of germinal centre B cells. Finally, we described the different characteristics of malignant epithelial cells from different pathological responses to tumours. Conclusions This study has unveiled a potential regulatory network among immune cells, stromal cells and malignant epithelial cells under different pathological response conditions and provides a valuable resource for discovering novel targeted therapies for ESCC.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.