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. 2021 Jul 27;13(15):3776.
doi: 10.3390/cancers13153776.

Association of the Lung Immune Prognostic Index with Immunotherapy Outcomes in Mismatch Repair Deficient Tumors

Affiliations

Association of the Lung Immune Prognostic Index with Immunotherapy Outcomes in Mismatch Repair Deficient Tumors

Edouard Auclin et al. Cancers (Basel). .

Abstract

Background: MSI-H/dMMR is considered the first predictive marker of efficacy for immune checkpoint inhibitors (ICIs). However, around 39% of cases are refractory and additional biomarkers are needed. We explored the prognostic value of pretreatment LIPI in MSI-H/dMMR patients treated with ICIs, including identification of fast-progressors. Methods: A multicenter retrospective study of patients with metastatic MSI-H/dMMR tumors treated with ICIs between April 2014 and May 2019 was performed. LIPI was calculated based on dNLR > 3 and LDH > upper limit of normal. LIPI groups were good (zero factors), intermediate (one factor) and poor (two factors). The primary endpoint was overall survival (OS), including the fast-progressor rate (OS < 3 months). Results: A total of 151 patients were analyzed, mainly female (59%), with median age 64 years, performance status (PS) 0 (42%), and sporadic dMMR status (68%). ICIs were administered as first or second-line for 59%. The most frequent tumor types were gastrointestinal (66%) and gynecologic (22%). LIPI groups were good (47%), intermediate (43%), and poor (10%). The median follow-up was 32 months. One-year OS rates were 81.0%, 67.1%, and 21.4% for good, intermediate, and poor-risk groups (p < 0.0001). After adjustment for tumor site, metastatic sites and PS, LIPI remained independently associated with OS (HR, poor-LIPI: 3.50, 95%CI: 1.46-8.40, p = 0.02. Overall, the fast-progressor rate was 16.0%, and 35.7% with poor-LIPI vs. 7.5% in the good-LIPI group (p = 0.02). Conclusions: LIPI identifies dMMR patients who do not benefit from ICI treatment, particularly fast-progressors. LIPI should be included as a stratification factor for future trials.

Keywords: LDH; LIPI; MSI-H; dMMR; dNLR; immune checkpoint inhibitors; immunotherapy.

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Conflict of interest statement

E. Auclin: Travel/Accommodation/Expenses: Mundipharma; Honoraria (self): Sanofi Genzymes. J. Taieb: Honoraria (self): Merck, Roche, Amgen, Lilly, Sanofi, Samsung, MSD, Servier, Celgene, Pierre Fabre; Advisory/Consultancy: Roche, Merck KGaA, Amgen, Lilly, MSD, Servier, Pierre Fabre, Sanofi, Samsung; Speaker Bureau/Expert testimony: Servier, Amgen, Roche, Sanofi, Merck, Lilly, Pierre Fabre. B. Besse: sponsored research at Gustave Roussy Cancer Center 4D Pharma, Abbvie, Amgen, Aptitude Health, AstraZeneca, BeiGene, Blueprint Medicines, BMS, Boehringer Ingelheim, Celgene, Cergentis, Cristal Therapeutics, Daiichi-Sankyo, Eli Lilly, GSK, Inivata, Janssen, Onxeo, OSE immunotherapeutics, Pfizer, Roche-Genentech, Sanofi, Takeda, Tolero Pharmaceuticals. C. Massard: Advisory/Consultancy: Amgen, Astellas, AstraZeneca, Bayer, BeiGene, BMS, Celgene, Debiopharm, Genentech, Ipsen, Janssen, Lilly, MedImmune, MSD, Novartis, Pfizer, Roche, Sanofi, Orion. L. Mezquita: Research grant/Funding (self): Bristol Myers Squibb, Boehringer Ingelheim, Amgen, Stilla, Inivata; Advisory/Consultancy: Roche Diagnostics, Takeda; Honoraria (self): Bristol Myers Squibb, Tecnofarma, Roche; Travel/Accommodation/Expenses: Roche; Non-remunerated activity/ies: AstraZeneca. A. Hollebecque: Advisory/Consultancy: Gritstone Oncology, Eisai Co., Ltd., Amgen, Servier and Merck Serono. All other authors have declared no conflicts of interest.

Figures

Figure 1
Figure 1
Kaplan Meier curve for OS (A) and PFS (B) according to LIPI score. Log Rank p < 0.0001 for both endpoints. The numbers at risk differ between OS and PFS, due to missing data in OS/PFS status or duration.
Figure 2
Figure 2
Best response according to LIPI group. ORR: objective response rate, SD: stable disease, PD: progression disease.

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