Prognostic Role of CA19-9 in Patients Undergoing Hepatectomy for Colorectal Liver Metastases

Carbohydrate antigen 19-9 (CA19-9) is widely used as a tumor marker in gastrointestinal malignancies; however, its clinical significance in patients undergoing resection for colorectal liver metastases (CRLM) remains unclear. This review summarizes current evidence regarding the prognostic value of CA19-9 in CRLM, with particular emphasis on its role compared with carcinoembryonic antigen (CEA) and its integration into modern prognostic models. Across multiple cohort studies, elevated preoperative CA19-9 levels have consistently been associated with worse recurrence-free and overall survival after hepatectomy. In several multivariable analyses, CA19-9 emerged as a significant prognostic factor whereas CEA did not. CA19-9 has also been incorporated into several prognostic scoring systems and nomograms, including the JSHBPS nomogram (Beppu score) and the Imai nomogram, highlighting its value as a surrogate marker of potentially unfavorable tumor biology. Reported cutoff values vary widely across studies, ranging from near-normal levels (34–37 U/mL) to higher thresholds (100–200 U/mL), and the optimal cutoff remains uncertain. In addition to its role as a categorical risk factor, dynamic changes in CA19-9 during preoperative chemotherapy may provide additional prognostic information. Routine assessment of CA19-9 together with CEA at CRLM diagnosis and during perioperative management may improve risk stratification and guide personalized multidisciplinary treatment strategies.

Authors

Institutions

Publication Details

Journal
Cancers
Published
2026-05-17
DOI
https://doi.org/10.3390/cancers18101624
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Role of CA19-9 in Patients Undergoing Hepatectomy for Colorectal Liver Metastases

Y Miyamoto, Hiromitsu Hayashi, Katsunori Sakamoto, Tatsunori Miyata et al.
Cancers
Hepatocellular Carcinoma Treatment and Prognosis
article

Prognostic Role of CA19-9 in Patients Undergoing Hepatectomy for Colorectal Liver Metastases

Y Miyamoto, Hiromitsu Hayashi, Katsunori Sakamoto, Tatsunori Miyata, Toru Beppu, Katsunori Imai, Toshiro Masuda, Hirohisa Okabe
article en

Abstract

Carbohydrate antigen 19-9 (CA19-9) is widely used as a tumor marker in gastrointestinal malignancies; however, its clinical significance in patients undergoing resection for colorectal liver metastases (CRLM) remains unclear. This review summarizes current evidence regarding the prognostic value of CA19-9 in CRLM, with particular emphasis on its role compared with carcinoembryonic antigen (CEA) and its integration into modern prognostic models. Across multiple cohort studies, elevated preoperative CA19-9 levels have consistently been associated with worse recurrence-free and overall survival after hepatectomy. In several multivariable analyses, CA19-9 emerged as a significant prognostic factor whereas CEA did not. CA19-9 has also been incorporated into several prognostic scoring systems and nomograms, including the JSHBPS nomogram (Beppu score) and the Imai nomogram, highlighting its value as a surrogate marker of potentially unfavorable tumor biology. Reported cutoff values vary widely across studies, ranging from near-normal levels (34–37 U/mL) to higher thresholds (100–200 U/mL), and the optimal cutoff remains uncertain. In addition to its role as a categorical risk factor, dynamic changes in CA19-9 during preoperative chemotherapy may provide additional prognostic information. Routine assessment of CA19-9 together with CEA at CRLM diagnosis and during perioperative management may improve risk stratification and guide personalized multidisciplinary treatment strategies.

CancersVol. 18(10)
Kyoto University (JP), Sunagawa City Medical Center (JP), Kumamoto University (JP)
Good health and well-being
Openalex Percentile: Top 7%
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.