Objective: To evaluate the changing impact of genetic and clinicopathologic factors on conditional overall survival (CS) over time in patients with resectable colorectal liver metastasis.

Background: CS estimates account for the changing likelihood of survival over time and may reveal the changing impact of prognostic factors as time accrues from the date of surgery.

Methods: CS analysis was performed in 1099 patients of an international, multi-institutional cohort. Three-year CS (CS3) estimates at the "xth" year after surgery were calculated as follows: CS3 = CS (x + 3)/CS (x). The standardized difference (d) between CS3 rates was used to estimate the changing prognostic power of selected variables over time. A d < 0.1 indicated very small differences between groups, 0.1 ≤ d < 0.3 indicated small differences, 0.3 ≤ d < 0.5 indicated moderate differences, and d ≥ 0.5 indicated strong differences.

Results: According to OS estimates calculated at the time of surgery, the presence of BRAF and KRAS mutations, R1 margin status, resected extrahepatic disease, patient age, primary tumor lymph node metastasis, tumor number, and carcinoembryonic antigen levels independently predicted worse survival. However, when temporal changes in the prognostic impact of these variables were considered using CS3 estimates, BRAF mutation dominated prognosis during the first year (d = 0.48), whereas surgeon-related variables (ie, surgical margin and resected extrahepatic disease) determined prognosis thereafter (d ≥ 0.5). Traditional clinicopathologic factors affected survival constantly, but only to a moderate degree (0.3 ≤ d < 0.5).

Conclusions: The impact of genetic, surgery-related, and clinicopathologic factors on OS and CS3 changed dramatically over time. Specifically, BRAF mutation status dominated prognosis in the first year, whereas positive surgical margins and resected extrahepatic disease determined prognosis thereafter.

Download full-text PDF

Source
http://dx.doi.org/10.1097/SLA.0000000000002664DOI Listing

Publication Analysis

Top Keywords

clinicopathologic factors
12
resected extrahepatic
12
extrahepatic disease
12
prognostic factors
8
colorectal liver
8
1099 patients
8
changing impact
8
impact genetic
8
survival time
8
cs3 estimates
8

Similar Publications

The impact of neoadjuvant therapy on the prognostic value of preoperative neutrophil-to-lymphocyte ratio for colorectal liver metastases: a multi-center cohort study.

Int J Colorectal Dis

January 2025

Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, No. 12 Urumqi Road, Shanghai, China.

Background: Neutrophil-to-lymphocyte ratio (NLR) is a promising prognostic marker for patients undergoing hepatectomy for colorectal liver metastases (CRLM). However, its prognostic value in patients receiving neoadjuvant therapy (NAT) has not been sufficiently addressed.

Methods: From 2013 to 2023, a cohort of 692 patients with CRLM receiving hepatectomy were enrolled in five centers.

View Article and Find Full Text PDF

Purpose: The randomized GeparOla trial reported comparable pathological complete response (pCR) rates with neoadjuvant containing olaparib vs. carboplatin treatment. Here, we evaluate the association between functional homologous repair deficiency (HRD) by RAD51 foci and pCR, and the potential of improving patient selection by combining RAD51 and stromal tumor infiltrating lymphocytes (sTILs).

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.

Background: With the development of disease modifying therapies targeting specific pathologies, accurate in vivo biomarkers have become increasingly important for disease classification. Recently, tests for neuronal α-synuclein (Lewy body) pathology have become available, complementing pre-existing tests for Alzheimer's disease (AD) pathology (Aβ and tau fluid and PET biomarkers) and vascular disease (MRI). Here, we aimed to identify and characterize data-driven pathology-based subtypes using these biomarkers.

View Article and Find Full Text PDF

Background: Age-related neurodegenerative disorders (NDDs) continuum includes late-onset Alzheimer's disease (LOAD), Dementia with Lewy bodies (DLB), and Parkinson's disease (PD) exhibit shared and distinct clinicopathological characteristics. Each of the different NDDs is characterized by a complex genetic etiology and although numerous loci have been identified via GWAS, and the causal genes and the specific neuronal and glial cell subtypes through which they exert their pathogenic effects are yet to be fully elucidated. We aimed to untangle the genetic complexity of NDDs, and to identify shared and distinct biological pathways and disease driver cell-subtypes across NDDs.

View Article and Find Full Text PDF

Background: With the development of disease modifying therapies targeting specific pathologies, accurate in vivo biomarkers have become increasingly important for disease classification. Recently, tests for neuronal a-synuclein (Lewy body) pathology have become available, complementing pre-existing tests for Alzheimer's disease (AD) pathology (Aß and tau fluid and PET biomarkers) and vascular disease (MRI). Here, we aimed to identify and characterize data-driven pathology-based subtypes using these biomarkers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!