The impact of lymphocyte count dynamics on the predictive value of tumor mutational burden (TMB) for immune checkpoint inhibitors (ICI) outcomes in patients (pts) with cancer.

M Mustafa Jamal Saleh (Dana-Farber Cancer Institute, Boston, MA) E Eddy Saad M Marc Machaalani R Razane El Hajj Chehade (Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA) W Wassim Daoud Khatoun (Dana-Farber Cancer Institute, Boston, MA) J Jad El Masri M Marc Eid (Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA) R Rashad Nawfal (Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA) K Karl Semaan (Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA) E Emre Yekedüz C Clara Steiner (University Hospital Leipzig, Leipzig, Germany) L Liliana Ascione (Dana-Farber Cancer Institute, Boston, MA) C Chris Labaki (Beth Israel Deaconess Medical Center, Boston, MA) R Renee Maria Saliby (Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT) T Talal El Zarif (Yale University School of Medicine, New Haven, Connecticut, United States) A Alexander Gusev T Toni K. Choueiri (Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA)

Abstract

2663 Background: TMB has become a reliable biomarker for ICI response in several cancer types, leading to the pan-cancer FDA approval of the PD-1 inhibitor pembrolizumab in tumors with a TMB ≥10 mut/Mb. Lymphocyte count dynamics (lymphocyte stability LS) have been reported to be associated with both increased immune-related adverse events and improved overall survival (OS) on ICI. We aimed to investigate the role of LS as a risk stratification tool, in combination with TMB, in patients with cancer treated with ICIs. Methods: We identified 1215 pts from the Dana-Farber Cancer Institute, who had received ICI between 2015 and 2024. The change in relative blood lymphocyte counts was calculated between pre- (up to 30 days) and post-treatment (between 21 and 49 days). Lymphocyte counts were considered stable (LS ≥80%) if the drop in lymphocyte count did not exceed 20% after ICI-exposure. TMB was assessed from targeted panel sequencing and categorized into high and low, based on a cutoff of 10 mut/Mb. Overall survival was assessed using a multivariable Cox regression model, adjusting for several baseline characteristics. Results: The most prevalent cancer types were non-small cell lung cancer (n = 190), breast carcinoma (n = 160), glioma (n = 104), and melanoma (n = 100). Median TMB was 6.8 (IQR: 0–265.4). In total, 846 (69.6%) patients had LS (drop < 20%), while 369 (30.4%) did not. Higher TMB (≥10) and LS were both independently associated with better survival on ICI after adjusting for age, sex, tumor purity, line of therapy, ICI type and cancer type (HR 0.58, CI: 0.50–0.67; p < 0.001) and 0.75 (CI: 0.63–0.90; p = 0.002) respectively. Overall, patients with LS and high TMB demonstrated the longest median OS while the combination of unstable lymphocyte counts and low TMB was associated with the worst survival (Table). Conclusions: LS provides additional value, irrespective of TMB, in predicting response to ICI, suggesting distinct underlying immunological pathways. These findings emphasize the need for further research to validate LS and explore its integration into clinical decision-making in ICI-treated pts. Results from multivariable Cox regression. Groups Median OS (mo) N HR 95% CI P-value Stable lymphocytes (LS ≥80%) & High TMB (Cutoff = 10) 34.27 245 Ref. Ref. Ref. Stable (LS ≥80%) & Low TMB 18.99 601 1.3 1.04 - 1.63 0.019 Unstable (LS <80%) & High TMB 17.05 96 1.66 1.22 - 2.26 0.001 Unstable (LS <80%) & Low TMB 9.59 273 2.28 1.79 - 2.90 <0.001 Model is adjusted for age, sexe, tumor purity, lines of treatment, PD1/PDL1 therapy, and CTLA-4 therapy. Abbreviations: TMB: Tumor mutational burden; LS: Lymphocyte Stability; OS: Overall Survival; mo: Months.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 2663-2663
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

M

Mustafa Jamal Saleh

Dana-Farber Cancer Institute, Boston, MA

E

Eddy Saad

M

Marc Machaalani

R

Razane El Hajj Chehade

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

W

Wassim Daoud Khatoun

Dana-Farber Cancer Institute, Boston, MA

J

Jad El Masri

M

Marc Eid

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

R

Rashad Nawfal

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

K

Karl Semaan

Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

E

Emre Yekedüz

C

Clara Steiner

University Hospital Leipzig, Leipzig, Germany

L

Liliana Ascione

Dana-Farber Cancer Institute, Boston, MA

C

Chris Labaki

Beth Israel Deaconess Medical Center, Boston, MA

R

Renee Maria Saliby

Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT

T

Talal El Zarif

Yale University School of Medicine, New Haven, Connecticut, United States

A

Alexander Gusev

T

Toni K. Choueiri

Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA