Abstract 84P
Background
Molecular-targeted therapies have revolutionized the treatment landscape for metastatic cancer patients. Understanding the tumor immune microenvironment, particularly the presence of mature tertiary lymphoid structures (mTLS), is emerging as a critical determinant of response to immune checkpoint inhibitors (ICIs). Integrating immune and molecular profiles is pivotal for personalized medicine.
Methods
The ongoing precision medicine study BIP (Institut Bergonié, Bordeaux, France, NCT02534649) was amended to integrate immune profiling besides next-generation sequencing for patients with available tumor material. ctDNA and tissue NGS was performed using FoundationOne®CDx panel. mTLS status, was evaluated centrally using immunohistochemistry with CD3/CD20/CD23 markers. Primary objective: Evaluate therapeutic orientation post immuno-molecular characterization. Secondary endpoints: i) Descriptive analysis of oriented-treated population, ii) Outcome analysis, iii) Correlation between MP and mTLS status (χ2 test).
Results
Between July 2021 and July 2023, 2870 pts underwent molecular screening, with 300 completing both tumoral tissue molecular and immune profiling. Common tumor types included breast, prostate, and ovarian cancers (25.3%, 15.7%, and 8.3% respectively). Median previous lines were 2 (IQR 1-3). mTLS was observed in 122 patients (40.6%). We found KRAS (N=54; 66.6%) and APC (N=33; 71.7%) as strongly correlated with mTLS status (p < 0.05 χ2 test). We found no correlation between tumor mutational burden (TMB) and mTLS status (p=0.8 χ2 test). Based on molecular alterations, 29% of pts were oriented to targeted therapies, while 35.6% were directed to immunotherapy based on positive mTLS. 11% were oriented based on both. Overall, 5 pts (1.6%) received molecular targeted therapy and 6 pts (2%) received mTLS-oriented immunotherapy. Among 11 pts treated, we identified 3 partial response and 2 stable disease.
Conclusions
Integration of immune and molecular profiling enhances therapeutic options for cancer patients within a personalized medicine framework. We identified KRAS and APC as strongly correlated with mTLS, emphasizing the potential for tailored immunotherapy.
Clinical trial identification
NCT02534649.
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
31P - Napabucasin transforms liver microenvironment and boosts immunotherapy efficacy by converting potential metastases into “hot” tumors
Presenter: Li Lin
Session: Poster session 07
32P - Patient derived circulating tumor cell clusters for personalized chemotherapy
Presenter: Prashant Kumar
Session: Poster session 07
Resources:
Abstract
33P - Anti-tumor effect of Debio 0432, a potent and selective USP1 inhibitor, in combination with PARP inhibitors
Presenter: Noémie Luong
Session: Poster session 07
34P - A novel gene family underlying cancer cell resilience
Presenter: David Amici
Session: Poster session 07
35P - The selective WEE1 inhibitor azenosertib shows synergistic anti-tumor effects in combination with topoisomerase I inhibitor-based antibody drug conjugates
Presenter: Jianhui Ma
Session: Poster session 07
36P - Branched-chain amino acids metabolism reprogramming in trastuzumab primary resistant HER2 positive breast cancer
Presenter: Yijia Hua
Session: Poster session 07
37P - A consensus gene set facilitates enrichment analysis of cancer hallmarks
Presenter: Otília Menyhart
Session: Poster session 07
38P - Feasibility of expanding tumor-infiltrating lymphocytes from cryopreserved tumor specimens after long-term storage
Presenter: Daria Kuznetsova
Session: Poster session 07
39P - Search for rare copy number variants associated with hereditary breast cancer in Finnish case-control cohorts
Presenter: Timo Kumpula
Session: Poster session 07
40P - STOPIN: A new approach to solve the hematological toxicity of antibody-drug conjugates (ADC) with soft topoisomerase inhibitor
Presenter: Xinghai Wang
Session: Poster session 07