The HALP score as a prognostic biomarker in non-small cell lung cancer: A comprehensive meta-analysis of over 7,000 patients.

D Dante Ivan Julca Marin (Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru) G Gabriela Chávez Paredes (Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru) I Ivan Alegre (Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru) B Bryan Everth Rudas Sulca (Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru) A Alvaro Montes (National University of San Marcos, Lima, Peru) H Hans Kodic Baltazar Ñahui (UNMSM, Lima, Peru) A Alvaro Lopez Luza (National University of San Marcos, Lima, Peru) O Omar Guerra (National University of San Marcos, Lima, Peru) C Carlos Quispe (NEMECS: Neurociencias, Metabolismo, Efectividad Clínica y Sanitaria, Universidad Científica del Sur, Lima, Peru) G Giancarlo Moscol (The University of Texas MD Anderson Cancer Center, Houston, TX)

Abstract

e20031 Background: The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score is an emerging prognostic biomarker in oncology, reflecting nutritional, immune, and inflammatory states. While its prognostic utility has been studied in various cancer types, its role in non-small cell lung cancer (NSCLC) remains unclear. This study presents the first meta-analysis assessing the prognostic significance of the HALP score in NSCLC, utilizing the most comprehensive dataset of studies to date and distinguishing itself from previous systematic reviews that included diverse solid tumor types. Methods: A systematic search was conducted in PubMed, EMBASE, Scopus, and WOS to find studies on pre-treatment HALP score groups (high or low) and hazard ratios (HR) for overall survival (OS), progression-free survival (PFS), or disease-free survival (DFS). Two reviewers independently extracted data and assessed quality. Random-effects meta-analyses were conducted using Cochrane RevMan Web. Confidence intervals (CIs) for OS and PFS applied the Hartung-Knapp-Sidik-Jonkman method, while the Wald-type method was used for DFS. Tau² was estimated using the Restricted Maximum-Likelihood (REML) method. Sensitivity analyses and quality assessments using the Newcastle-Ottawa Scale were performed. Results: An initial search identified 1,352 studies, with 15 selected for full-text review. Of these, 11 cohort studies (10 retrospective, 1 prospective) included 7,452 NSCLC patients across all stages. HALP cut-offs ranged from 13.99 to 48.2, determined by ROC analysis, X-tile software, or mean values. The median follow-up time varied across studies, lasting between 16 and 64 months. Meta-analysis of these 11 studies showed a significant association between a low HALP score and worse OS (HR 1.78, 95% CI 1.30–2.44; I² = 83%). For PFS, low HALP scores were associated with a pooled HR of 2.05 (95% CI: 0.78–5.39; I² = 90%), while for DFS, the HR was 1.98 (95% CI: 0.86–4.56; I² = 56%). Subgroup analyses of OS based on metastatic status showed non-significant results for four studies including only nonmetastatic NSCLC (HR: 1.67; 95% CI: 0.68–4.12; I² = 85%) and for two studies including only metastatic NSCLC (HR: 2.12; 95% CI: 0.03–144.24; I² = 88%). Sensitivity analyses confirmed the stability of the OS results. Conclusions: This meta-analysis identifies the HALP score as a significant prognostic biomarker for OS in NSCLC. However, its associations with PFS, DFS, and OS in subgroup analyses by metastatic status were not statistically significant, likely due to limited study numbers, heterogeneous designs and HALP cut-off values, and stage- or treatment-specific variations in prognostic impact. These findings underscore the need for standardization of HALP cut-off values and the implementation of prospective studies to validate its predictive value across diverse NSCLC cohorts.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (10)

D

Dante Ivan Julca Marin

Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru

G

Gabriela Chávez Paredes

Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru

I

Ivan Alegre

Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru

B

Bryan Everth Rudas Sulca

Sociedad Científica de San Fernando - Universidad Nacional Mayor de San Marcos, Lima, Peru

A

Alvaro Montes

National University of San Marcos, Lima, Peru

H

Hans Kodic Baltazar Ñahui

UNMSM, Lima, Peru

A

Alvaro Lopez Luza

National University of San Marcos, Lima, Peru

O

Omar Guerra

National University of San Marcos, Lima, Peru

C

Carlos Quispe

NEMECS: Neurociencias, Metabolismo, Efectividad Clínica y Sanitaria, Universidad Científica del Sur, Lima, Peru

G

Giancarlo Moscol

The University of Texas MD Anderson Cancer Center, Houston, TX