Establishing prognostic models for intrahepatic cholangiocarcinoma based on immune cells DOI

Z Wang,

Cunzhen Zhang, Zhan Ding

et al.

World Journal of Gastrointestinal Oncology, Journal Year: 2024, Volume and Issue: 16(10), P. 4092 - 4103

Published: Sept. 25, 2024

BACKGROUND Intrahepatic cholangiocarcinoma (ICC) is a malignant liver tumor that challenging to treat and manage current prognostic models for the disease are inefficient or ineffective. Tumor-associated immune cells critical development progression. The main goal of this study was establish based on tumor-associated predicting overall survival patients undergoing surgery ICC. AIM To 1-year 3-year ICC after surgical resection. METHODS Immunohistochemical staining performed CD4, CD8, CD20, pan-cytokeratin (CK), CD68 in tumors paired adjacent tissues from 141 with who underwent curative surgery. Selection variables regression diagnostic procedures goodness-of-fit tests (PH assumption). Clinical parameters pathological diagnoses, combined distribution tissues, were utilized 1- models. RESULTS This an important application microenvironment. CK included establishment our model by stepwise selection, whereas not significantly associated prognosis By integrating clinical data ICC, distinct derived outcomes using variable selection. prediction yielded C-index 0.76 95% confidence interval (95%CI): 0.65-0.87 produced 0.69 (95%CI: 0.65-0.73). Internal validation 0.761 0.669-0.853) 0.693 0.642-0.744) model. CONCLUSION We developed Cox predictions resection, which has positive implications establishing more comprehensive microenvironment cell changes future.

Language: Английский

From PD-1/PD-L1 to tertiary lymphoid structures: Paving the way for precision immunotherapy in cholangiocarcinoma treatment DOI Creative Commons
Fuling Huang, Ye‐Ying Fang, Jiaying Wen

et al.

Human Vaccines & Immunotherapeutics, Journal Year: 2025, Volume and Issue: 21(1)

Published: Jan. 6, 2025

Cholangiocarcinoma (CCA) is a highly malignant hepatobiliary tumor characterized by limited treatment options and poor prognosis. The recent rise of immunotherapy has significantly influenced research in this field. This study presents bibliometric analysis 416 articles retrieved from the WOSCC, Wan fang Data, CNKI VIP databases, spanning contributions 32 countries, 589 institutions 3,200 authors. identified "PD-L1," "PD-1" "pembrolizumab" as central foci, while "immune checkpoint inhibitors," "tumor immune microenvironment," "tertiary lymphoid structures" "durvalumab" emerged key areas interest. These findings emphasize pivotal role improving survival outcomes for CCA, they highlight significance tertiary structures within microenvironment promising target future research. offers strategic overview evolving landscape CCA immunotherapy, providing valuable insights to guide scientific endeavors domain.

Language: Английский

Citations

0

Establishing prognostic models for intrahepatic cholangiocarcinoma based on immune cells DOI

Z Wang,

Cunzhen Zhang, Zhan Ding

et al.

World Journal of Gastrointestinal Oncology, Journal Year: 2024, Volume and Issue: 16(10), P. 4092 - 4103

Published: Sept. 25, 2024

BACKGROUND Intrahepatic cholangiocarcinoma (ICC) is a malignant liver tumor that challenging to treat and manage current prognostic models for the disease are inefficient or ineffective. Tumor-associated immune cells critical development progression. The main goal of this study was establish based on tumor-associated predicting overall survival patients undergoing surgery ICC. AIM To 1-year 3-year ICC after surgical resection. METHODS Immunohistochemical staining performed CD4, CD8, CD20, pan-cytokeratin (CK), CD68 in tumors paired adjacent tissues from 141 with who underwent curative surgery. Selection variables regression diagnostic procedures goodness-of-fit tests (PH assumption). Clinical parameters pathological diagnoses, combined distribution tissues, were utilized 1- models. RESULTS This an important application microenvironment. CK included establishment our model by stepwise selection, whereas not significantly associated prognosis By integrating clinical data ICC, distinct derived outcomes using variable selection. prediction yielded C-index 0.76 95% confidence interval (95%CI): 0.65-0.87 produced 0.69 (95%CI: 0.65-0.73). Internal validation 0.761 0.669-0.853) 0.693 0.642-0.744) model. CONCLUSION We developed Cox predictions resection, which has positive implications establishing more comprehensive microenvironment cell changes future.

Language: Английский

Citations

0