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A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients
Intrahepatic cholangiocarcinoma (ICC) accounts for 20% of liver malignancies with a 5-year survival rate of 35% at best with limited prognostic predictors. Lung Immune Prognostic Index (LIPI) is a novel prognostic factor in pulmonary cancers. In this study, we developed a modified prognostic model f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630332/ https://www.ncbi.nlm.nih.gov/pubmed/37935735 http://dx.doi.org/10.1038/s41598-023-45056-9 |
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author | Lv, Yinghao Liu, Hu He, Penghui Xie, Sinan Yin, Xiuchun Cai, Yunshi Wu, Hong |
author_facet | Lv, Yinghao Liu, Hu He, Penghui Xie, Sinan Yin, Xiuchun Cai, Yunshi Wu, Hong |
author_sort | Lv, Yinghao |
collection | PubMed |
description | Intrahepatic cholangiocarcinoma (ICC) accounts for 20% of liver malignancies with a 5-year survival rate of 35% at best with limited prognostic predictors. Lung Immune Prognostic Index (LIPI) is a novel prognostic factor in pulmonary cancers. In this study, we developed a modified prognostic model from LIPI called intrahepatic immune prognostic index (IIPI) for ICC. A retrospectively study was conducted at Liver Transplant Center of West China Hospital between January 2015 and January 2023. Hematological factors and clinical features of ICC patients were collected and analyzed. The area under curve (AUC) and optimal cuff-off of each single hematological factor was calculated. In this study, derived neurtrophil to lymphocyte ratio (dNLR), arbohydrate antigen199 (CA199) and carcinoembryonic antigen (CEA) have higher AUC values. LIPI was composed of dNLR and was further modified by combing CA199 and CEA, forming the IIPI. The IIPI consists of four grades which are None, Light, Moderate and Severe. Compared to other prognostic factors, IIPI exhibited better ability to predict overall survival. The multivariate analysis indicated that cirrhosis, differentiation, hilar invasion and IIPI were independent prognostic factors for ICC patients. An IIPI-based nomogram was also established and could predict the overall survival. In addition, the subgroup analyses based on clinical prognostic factors showed that the IIPI exhibited excellent prognostic influence. IIPI model is suitable for predicting the prognosis of postoperative ICC patients. Further research is needed to explore the relationship between postoperative recurrence and metastasis of ICC patients and IIPI. |
format | Online Article Text |
id | pubmed-10630332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106303322023-11-06 A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients Lv, Yinghao Liu, Hu He, Penghui Xie, Sinan Yin, Xiuchun Cai, Yunshi Wu, Hong Sci Rep Article Intrahepatic cholangiocarcinoma (ICC) accounts for 20% of liver malignancies with a 5-year survival rate of 35% at best with limited prognostic predictors. Lung Immune Prognostic Index (LIPI) is a novel prognostic factor in pulmonary cancers. In this study, we developed a modified prognostic model from LIPI called intrahepatic immune prognostic index (IIPI) for ICC. A retrospectively study was conducted at Liver Transplant Center of West China Hospital between January 2015 and January 2023. Hematological factors and clinical features of ICC patients were collected and analyzed. The area under curve (AUC) and optimal cuff-off of each single hematological factor was calculated. In this study, derived neurtrophil to lymphocyte ratio (dNLR), arbohydrate antigen199 (CA199) and carcinoembryonic antigen (CEA) have higher AUC values. LIPI was composed of dNLR and was further modified by combing CA199 and CEA, forming the IIPI. The IIPI consists of four grades which are None, Light, Moderate and Severe. Compared to other prognostic factors, IIPI exhibited better ability to predict overall survival. The multivariate analysis indicated that cirrhosis, differentiation, hilar invasion and IIPI were independent prognostic factors for ICC patients. An IIPI-based nomogram was also established and could predict the overall survival. In addition, the subgroup analyses based on clinical prognostic factors showed that the IIPI exhibited excellent prognostic influence. IIPI model is suitable for predicting the prognosis of postoperative ICC patients. Further research is needed to explore the relationship between postoperative recurrence and metastasis of ICC patients and IIPI. Nature Publishing Group UK 2023-11-06 /pmc/articles/PMC10630332/ /pubmed/37935735 http://dx.doi.org/10.1038/s41598-023-45056-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lv, Yinghao Liu, Hu He, Penghui Xie, Sinan Yin, Xiuchun Cai, Yunshi Wu, Hong A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
title | A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
title_full | A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
title_fullStr | A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
title_full_unstemmed | A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
title_short | A novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
title_sort | novel model for predicting the prognosis of postoperative intrahepatic cholangiocarcinoma patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630332/ https://www.ncbi.nlm.nih.gov/pubmed/37935735 http://dx.doi.org/10.1038/s41598-023-45056-9 |
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