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Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers

BACKGROUND: This study aims to (1) identify preoperative testing-based characteristics associated with enhanced prognosis and survival for cholangiocarcinoma patients, and (2)create a distinctive nomogram to anticipate each patient’s cancer-specific survival (CSS). METHODS: Retrospective analysis wa...

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Autores principales: Zhou, Shurui, Zhao, Yue, Lu, Yanzong, Liang, Weiling, Ruan, Jianmin, Lin, Lijun, Lin, Haoming, Huang, Kaihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259060/
https://www.ncbi.nlm.nih.gov/pubmed/37308861
http://dx.doi.org/10.1186/s12885-023-11040-9
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author Zhou, Shurui
Zhao, Yue
Lu, Yanzong
Liang, Weiling
Ruan, Jianmin
Lin, Lijun
Lin, Haoming
Huang, Kaihong
author_facet Zhou, Shurui
Zhao, Yue
Lu, Yanzong
Liang, Weiling
Ruan, Jianmin
Lin, Lijun
Lin, Haoming
Huang, Kaihong
author_sort Zhou, Shurui
collection PubMed
description BACKGROUND: This study aims to (1) identify preoperative testing-based characteristics associated with enhanced prognosis and survival for cholangiocarcinoma patients, and (2)create a distinctive nomogram to anticipate each patient’s cancer-specific survival (CSS). METHODS: Retrospective analysis was performed on 197 CCA patients who underwent radical surgery at Sun Yat-sen Memorial Hospital; they were divided into a 131-person “training cohort” and a 66-person “internal validation cohort.“ The prognostic nomogram was created following a preliminary Cox proportional hazard regression search for independent factors influencing the patients’ CSS. Its applicable domain was examined via an external validation cohort, which included 235 patients from the Sun Yat-sen University Cancer Center. RESULTS: The median follow-up period for the 131 patients in the training group was 49.3 months (range, 9.3 to 133.9 months). One-, three-, and five-year CSS rates were 68.7%, 24.5%, and 9.2%, respectively, with the median CSS length being 27.4 months (range: 1.4 to 125.2 months). PLT, CEA, AFP, tumor location, differentiation, lymph node metastasis, chemotherapy, and TNM stage were determined to be independent risk factors for CCA patients by univariate and multivariate Cox proportional hazard regression analysis. We were able to accurately predict postoperative CSS after incorporating all of these characteristics into a nomogram. The AJCC’s 8th edition staging method’s C-indices were statistically substantially (P < 0.001) lower than the nomogram’s C-indices (0.84, 0.77, and 0.74 in the training, internal and external validation cohorts respectively). CONCLUSIONS: A realistic and useful model for clinical decision-making and the optimization of therapy is presented as a nomogram that includes serum markers and clinicopathologic features for predicting postoperative survival in cholangiocarcinoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11040-9.
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spelling pubmed-102590602023-06-13 Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers Zhou, Shurui Zhao, Yue Lu, Yanzong Liang, Weiling Ruan, Jianmin Lin, Lijun Lin, Haoming Huang, Kaihong BMC Cancer Research BACKGROUND: This study aims to (1) identify preoperative testing-based characteristics associated with enhanced prognosis and survival for cholangiocarcinoma patients, and (2)create a distinctive nomogram to anticipate each patient’s cancer-specific survival (CSS). METHODS: Retrospective analysis was performed on 197 CCA patients who underwent radical surgery at Sun Yat-sen Memorial Hospital; they were divided into a 131-person “training cohort” and a 66-person “internal validation cohort.“ The prognostic nomogram was created following a preliminary Cox proportional hazard regression search for independent factors influencing the patients’ CSS. Its applicable domain was examined via an external validation cohort, which included 235 patients from the Sun Yat-sen University Cancer Center. RESULTS: The median follow-up period for the 131 patients in the training group was 49.3 months (range, 9.3 to 133.9 months). One-, three-, and five-year CSS rates were 68.7%, 24.5%, and 9.2%, respectively, with the median CSS length being 27.4 months (range: 1.4 to 125.2 months). PLT, CEA, AFP, tumor location, differentiation, lymph node metastasis, chemotherapy, and TNM stage were determined to be independent risk factors for CCA patients by univariate and multivariate Cox proportional hazard regression analysis. We were able to accurately predict postoperative CSS after incorporating all of these characteristics into a nomogram. The AJCC’s 8th edition staging method’s C-indices were statistically substantially (P < 0.001) lower than the nomogram’s C-indices (0.84, 0.77, and 0.74 in the training, internal and external validation cohorts respectively). CONCLUSIONS: A realistic and useful model for clinical decision-making and the optimization of therapy is presented as a nomogram that includes serum markers and clinicopathologic features for predicting postoperative survival in cholangiocarcinoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11040-9. BioMed Central 2023-06-12 /pmc/articles/PMC10259060/ /pubmed/37308861 http://dx.doi.org/10.1186/s12885-023-11040-9 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhou, Shurui
Zhao, Yue
Lu, Yanzong
Liang, Weiling
Ruan, Jianmin
Lin, Lijun
Lin, Haoming
Huang, Kaihong
Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers
title Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers
title_full Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers
title_fullStr Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers
title_full_unstemmed Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers
title_short Cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a Novel, dynamic nomogram based on clinicopathological features and serum markers
title_sort cancer-specific survival in patients with cholangiocarcinoma after radical surgery: a novel, dynamic nomogram based on clinicopathological features and serum markers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259060/
https://www.ncbi.nlm.nih.gov/pubmed/37308861
http://dx.doi.org/10.1186/s12885-023-11040-9
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