PO.TB10.04 · 肿瘤生物学

Longitudinal tumor microenvironment analysis to predict immunochemotherapy response in salivary duct carcinoma

海报缩略图:Longitudinal tumor microenvironment analysis to predict immunochemotherapy response in salivary duct carcinoma
编号 7423 展板 7 时间 4/22 09:00–12:00 区域 Section 28 主讲 BOSEUNG CHOI
分会场 Microenvironmental Determinants of Therapy Response and Resistance 2
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作者与单位

Boseung Choi1, Hyunsu Kim2, Dongryul Oh3, Myung-Ju Ahn2, Hyun Ae Jung2, Junhun Cho4, Han-Sin Jeong5, Se-Hoon Lee2, Kyungmi Yang3, Nayeon Choi5, Eun-hye Kim5, Sehhoon Park2

1Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of,2Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of,3Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of,4Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of,5Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of

摘要 Abstract

Background: Salivary duct carcinoma (SDC) is a rare but highly aggressive malignancy. Although neoadjuvant cytotoxic chemotherapy followed by surgery is standard for locally advanced high-grade SDC, recent studies suggest potential benefit from immune checkpoint inhibitors (ICIs) in the perioperative setting. To characterize treatment-related tumor microenvironment (TME) features, we analyzed paired pre- and post-immunochemotherapy samples from a perioperative clinical trial (ONO-4538-X78). Method: A total of 42 tumor samples from 30 SDC patients were analyzed using whole-transcriptome sequencing (WTS). Samples were collected at diagnosis (T1) and at surgery (T2) after three cycles of immunochemotherapy. Patients with <10% residual viable tumor were classified as major pathologic responders (MPR). Samples were classified into T1 non-MPR (n=7), T1 MPR (n=15), T2 non-MPR (n=11), and T2 MPR (n=9), and TMEs were compared across time points and response groups. Result: To characterize TME differences, we inferred cell states for each response group. At baseline (T1), non-MPR tumors exhibited a pro-angiogenic TME driven by malignant epithelial cells, consistent with EMT and angiogenesis pathways. In contrast, T1 MPR tumors showed a more immune-infiltrated TME with interferon-related signaling. From the surgical samples (T2), direct comparison of MPR and non-MPR revealed distinct antitumor immune patterns, indicating robust T- and B-cell-mediated adaptive immunity in MPR, whereas non-MPR displayed chronic inflammatory signatures rather than effective antitumor responses. ssGSEA using core enrichment genes from T- and B-cell-related GOBP pathways confirmed significantly higher immune activation in the T2 MPR group compared with T2 non-MPR (p=0.001). Longitudinal comparison further highlighted divergent trajectories. In non-MPR tumors, T2 non-MPR tumors were inferred to retain malignant epithelial features with minimal immune cells; DEG analysis supported this with inflammatory responses at T2 and EMT programs at T1.Conversely, T2 MPR tumors were inferred to lose malignant epithelial signatures and show immune activation, consistent with T cell-mediated adaptive responses pathways, whereas T1 MPR displayed epithelial cell-cycle pathways. Conclusion: In this study, we found that MPR tumors exhibited a pre-existing interferon-activated tumor microenvironment at baseline, which transitioned into an adaptive immune response after immunochemotherapy. These findings suggest that an interferon-primed TME is a prerequisite for effective post-treatment immune activation and may serve as a predictive biomarker for immunochemotherapy responsiveness.
利益披露 Disclosure
B. Choi, None.. H. Kim, None.. D. Oh, None.. M. Ahn, None.. H. Jung, None.. J. Cho, None.. H. Jeong, None.. S. Lee, None.. K. Yang, None.. N. Choi, None.. E. Kim, None.. S. Park, None.

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