Association of IFITM3 with the efficacy of anti-PD1/PD-L1 therapy and regulation of immunosensitivity via MHC-I regulation in SCLC.

8105 Background: Majority of small cell lung cancer (SCLC) patients exhibit resistance to immune checkpoint inhibitors (ICIs), which is associated with the downregulation of major histocompatibility complex class I (MHC-I) molecules. This study investigates the regulatory mechanisms underlying MHC-I expression and explores potential therapeutic strategies to enhance ICI efficacy. Methods: Single-cell and bulk RNA sequencing data from SCLC patient tumors were analyzed to identify key regulators of MHC-I expression. The IMpower133 cohort (116 patients treated with chemotherapy plus anti-PD-L1 therapy and 131 patients treated with chemotherapy alone) and an in-house cohort (39 patients treated with chemotherapy and anti-PD-1 therapy) were utilized to assess the association between IFITM3 expression and immunotherapy outcomes. Additionally, tumor samples from 42 extensive-stage SCLC patients receiving first-line chemotherapy plus anti-PD1/PD-L1 were evaluated via immunohistochemistry (IHC) to determine IFITM3 expression as a predictive biomarker. In vitro and in vivo functional studies were conducted to elucidate the role and mechanisms of IFITM3 in modulating tumor sensitivity to PD-1 inhibitors. Results: Integrative analysis of multiple real-world cohorts of SCLC confirmed a significant positive association between IFITM3 and MHC-I expression. IFITM3 overexpression elevated MHC-I-related genes, activated antigen presentation pathways, and enhanced CD8 + T cell activity. In the IMpower133 cohort, high IFITM3 expression was significantly associated with prolonged progression-free survival (PFS) in patients receiving chemoimmunotherapy (HR 0.65,95% CI 0.44-0.96, p=0.014) but not in those treated with chemotherapy alone (HR 1.97,95%CI 1.19-3.25, p=0.0069). Similarly, in the in-house cohort, high IFITM3 expression conferred a PFS advantage in patients receiving chemoimmunotherapy (HR 0.42,95% CI 0.19-0.90, p=0.023). Furthermore, patients with elevated IFITM3 protein levels, as determined by IHC H-scores, exhibited improved clinical outcomes following chemoimmunotherapy. Importantly, inducing IFITM3 expression directly or through treatment with Ethyl gallate (EG), an IFITM3 activator, effectively sensitized tumors to PD-1 blockade in SCLC mouse models. Conclusions: IFITM3 positively regulates MHC-I expression and predicts response to ICIs in SCLC. Combining EG with PD-1 inhibitors represents a promising strategy to improve immunotherapy efficacy in SCLC patients.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.8105
Primary Topic
Immune Cell Function and Interaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of IFITM3 with the efficacy of anti-PD1/PD-L1 therapy and regulation of immunosensitivity via MHC-I regulation in SCLC.

Gaohua Feng, Fengying Wu, Shengxiang Ren, Tianyu Qiu et al.
Journal of Clinical Oncology
Immune Cell Function and Interaction
article

Association of IFITM3 with the efficacy of anti-PD1/PD-L1 therapy and regulation of immunosensitivity via MHC-I regulation in SCLC.

Gaohua Feng, Fengying Wu, Shengxiang Ren, Tianyu Qiu, Fei Li, Jiale Wang, Hua Zhang, Chunyan Wu, Yanan Cui
article en

Abstract

8105 Background: Majority of small cell lung cancer (SCLC) patients exhibit resistance to immune checkpoint inhibitors (ICIs), which is associated with the downregulation of major histocompatibility complex class I (MHC-I) molecules. This study investigates the regulatory mechanisms underlying MHC-I expression and explores potential therapeutic strategies to enhance ICI efficacy. Methods: Single-cell and bulk RNA sequencing data from SCLC patient tumors were analyzed to identify key regulators of MHC-I expression. The IMpower133 cohort (116 patients treated with chemotherapy plus anti-PD-L1 therapy and 131 patients treated with chemotherapy alone) and an in-house cohort (39 patients treated with chemotherapy and anti-PD-1 therapy) were utilized to assess the association between IFITM3 expression and immunotherapy outcomes. Additionally, tumor samples from 42 extensive-stage SCLC patients receiving first-line chemotherapy plus anti-PD1/PD-L1 were evaluated via immunohistochemistry (IHC) to determine IFITM3 expression as a predictive biomarker. In vitro and in vivo functional studies were conducted to elucidate the role and mechanisms of IFITM3 in modulating tumor sensitivity to PD-1 inhibitors. Results: Integrative analysis of multiple real-world cohorts of SCLC confirmed a significant positive association between IFITM3 and MHC-I expression. IFITM3 overexpression elevated MHC-I-related genes, activated antigen presentation pathways, and enhanced CD8 + T cell activity. In the IMpower133 cohort, high IFITM3 expression was significantly associated with prolonged progression-free survival (PFS) in patients receiving chemoimmunotherapy (HR 0.65,95% CI 0.44-0.96, p=0.014) but not in those treated with chemotherapy alone (HR 1.97,95%CI 1.19-3.25, p=0.0069). Similarly, in the in-house cohort, high IFITM3 expression conferred a PFS advantage in patients receiving chemoimmunotherapy (HR 0.42,95% CI 0.19-0.90, p=0.023). Furthermore, patients with elevated IFITM3 protein levels, as determined by IHC H-scores, exhibited improved clinical outcomes following chemoimmunotherapy. Importantly, inducing IFITM3 expression directly or through treatment with Ethyl gallate (EG), an IFITM3 activator, effectively sensitized tumors to PD-1 blockade in SCLC mouse models. Conclusions: IFITM3 positively regulates MHC-I expression and predicts response to ICIs in SCLC. Combining EG with PD-1 inhibitors represents a promising strategy to improve immunotherapy efficacy in SCLC patients.

Journal of Clinical OncologyVol. 43(16_suppl)
Tongji University (CN), University of Pittsburgh (US), Fudan University (CN), Shanghai Pulmonary Hospital (CN)
Openalex Percentile: Top 87%
Immune Cell Function and Interaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.