Yu Min , Xiaoxia Liu , Zhigong Wei , Ge Song , Yuantai Li , Kun Gao , Zheran Liu , Yiyan Pei , Huilin Li , Junyou Ge , Yan Qing , Youneng Wei , Xingchen Peng
{"title":"肺部免疫预后指数与接受免疫疗法的复发性或转移性鼻咽癌(R/M)的临床预后有关:多中心、单臂、2 期研究的结果","authors":"Yu Min , Xiaoxia Liu , Zhigong Wei , Ge Song , Yuantai Li , Kun Gao , Zheran Liu , Yiyan Pei , Huilin Li , Junyou Ge , Yan Qing , Youneng Wei , Xingchen Peng","doi":"10.1016/j.oraloncology.2024.107028","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Immune-related biomarkers are linked to the outcomes of cancer immunotherapy. This study evaluates the baseline and longitudinal association between the lung immune prognostic index (LIPI) and immune checkpoint inhibitor outcomes in previously treated recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC) patients.</p></div><div><h3>Methods</h3><p>Data from 153 R/M NPC patients (median age = 49.00 years old) enrolled in a multicenter, single-arm, phase 2 study (NCT03848286) were analyzed. Pretreatment LIPI was classified into good and intermediate/poor (inter/poor) groups. Longitudinal LIPI variations were categorized into “Stable good”, “Trend to increase”, “Trend to decrease”, and “Stable inter/poor”. Primary and secondary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR).</p></div><div><h3>Results</h3><p>Pretreatment LIPI was significantly associated with OS (inter/poor vs. good: HR = 2.54, 95 % CI: 1.60–4.04, P < 0.001), PFS [inter/poor vs. good: hazard ratio (HR) = 2.18, 95 % CI: 1.47–3.23, P < 0.001], and DCR [inter/poor vs. good: odd ratio (OR) = 0.26, 95 % CI: 0.12–0.58, P < 0.001)]. Patients with persistently inter/poor LIPI status showed worse OS (HR = 3.25, 95 % CI: 1.84–5.74, P < 0.001), PFS (HR = 2.96, 95 % CI: 1.85–4.74, P < 0.001), and ORR (OR = 0.21, 95 % CI: 0.08–0.56, P < 0.001) compared to the persistently good subgroup.</p></div><div><h3>Conclusion</h3><p>Pretreatment LIPI and its longitudinal variations may serve as potential biomarkers for predicting immune checkpoint inhibitor outcomes in R/M NPC patients.</p></div>","PeriodicalId":19716,"journal":{"name":"Oral oncology","volume":"159 ","pages":"Article 107028"},"PeriodicalIF":4.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lung immune prognostic index is associated with clinical outcomes in recurrent or metastatic (R/M) nasopharyngeal carcinoma receiving immunotherapy: Results from the multicenter, single-arm, phase 2 study\",\"authors\":\"Yu Min , Xiaoxia Liu , Zhigong Wei , Ge Song , Yuantai Li , Kun Gao , Zheran Liu , Yiyan Pei , Huilin Li , Junyou Ge , Yan Qing , Youneng Wei , Xingchen Peng\",\"doi\":\"10.1016/j.oraloncology.2024.107028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Immune-related biomarkers are linked to the outcomes of cancer immunotherapy. This study evaluates the baseline and longitudinal association between the lung immune prognostic index (LIPI) and immune checkpoint inhibitor outcomes in previously treated recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC) patients.</p></div><div><h3>Methods</h3><p>Data from 153 R/M NPC patients (median age = 49.00 years old) enrolled in a multicenter, single-arm, phase 2 study (NCT03848286) were analyzed. Pretreatment LIPI was classified into good and intermediate/poor (inter/poor) groups. Longitudinal LIPI variations were categorized into “Stable good”, “Trend to increase”, “Trend to decrease”, and “Stable inter/poor”. Primary and secondary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR).</p></div><div><h3>Results</h3><p>Pretreatment LIPI was significantly associated with OS (inter/poor vs. good: HR = 2.54, 95 % CI: 1.60–4.04, P < 0.001), PFS [inter/poor vs. good: hazard ratio (HR) = 2.18, 95 % CI: 1.47–3.23, P < 0.001], and DCR [inter/poor vs. good: odd ratio (OR) = 0.26, 95 % CI: 0.12–0.58, P < 0.001)]. Patients with persistently inter/poor LIPI status showed worse OS (HR = 3.25, 95 % CI: 1.84–5.74, P < 0.001), PFS (HR = 2.96, 95 % CI: 1.85–4.74, P < 0.001), and ORR (OR = 0.21, 95 % CI: 0.08–0.56, P < 0.001) compared to the persistently good subgroup.</p></div><div><h3>Conclusion</h3><p>Pretreatment LIPI and its longitudinal variations may serve as potential biomarkers for predicting immune checkpoint inhibitor outcomes in R/M NPC patients.</p></div>\",\"PeriodicalId\":19716,\"journal\":{\"name\":\"Oral oncology\",\"volume\":\"159 \",\"pages\":\"Article 107028\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oral oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1368837524003464\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oral oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1368837524003464","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Lung immune prognostic index is associated with clinical outcomes in recurrent or metastatic (R/M) nasopharyngeal carcinoma receiving immunotherapy: Results from the multicenter, single-arm, phase 2 study
Background
Immune-related biomarkers are linked to the outcomes of cancer immunotherapy. This study evaluates the baseline and longitudinal association between the lung immune prognostic index (LIPI) and immune checkpoint inhibitor outcomes in previously treated recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC) patients.
Methods
Data from 153 R/M NPC patients (median age = 49.00 years old) enrolled in a multicenter, single-arm, phase 2 study (NCT03848286) were analyzed. Pretreatment LIPI was classified into good and intermediate/poor (inter/poor) groups. Longitudinal LIPI variations were categorized into “Stable good”, “Trend to increase”, “Trend to decrease”, and “Stable inter/poor”. Primary and secondary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR).
Results
Pretreatment LIPI was significantly associated with OS (inter/poor vs. good: HR = 2.54, 95 % CI: 1.60–4.04, P < 0.001), PFS [inter/poor vs. good: hazard ratio (HR) = 2.18, 95 % CI: 1.47–3.23, P < 0.001], and DCR [inter/poor vs. good: odd ratio (OR) = 0.26, 95 % CI: 0.12–0.58, P < 0.001)]. Patients with persistently inter/poor LIPI status showed worse OS (HR = 3.25, 95 % CI: 1.84–5.74, P < 0.001), PFS (HR = 2.96, 95 % CI: 1.85–4.74, P < 0.001), and ORR (OR = 0.21, 95 % CI: 0.08–0.56, P < 0.001) compared to the persistently good subgroup.
Conclusion
Pretreatment LIPI and its longitudinal variations may serve as potential biomarkers for predicting immune checkpoint inhibitor outcomes in R/M NPC patients.
期刊介绍:
Oral Oncology is an international interdisciplinary journal which publishes high quality original research, clinical trials and review articles, editorials, and commentaries relating to the etiopathogenesis, epidemiology, prevention, clinical features, diagnosis, treatment and management of patients with neoplasms in the head and neck.
Oral Oncology is of interest to head and neck surgeons, radiation and medical oncologists, maxillo-facial surgeons, oto-rhino-laryngologists, plastic surgeons, pathologists, scientists, oral medical specialists, special care dentists, dental care professionals, general dental practitioners, public health physicians, palliative care physicians, nurses, radiologists, radiographers, dieticians, occupational therapists, speech and language therapists, nutritionists, clinical and health psychologists and counselors, professionals in end of life care, as well as others interested in these fields.