{"title":"采用阿特珠单抗和贝伐单抗后的预后营养指数可预测晚期肝细胞癌的预后： 一项多中心研究。","authors":"Takanori Suzuki, Kentaro Matsuura, Yuta Suzuki, Fumihiro Okumura, Yoshihito Nagura, Satoshi Sobue, Daisuke Kato, Atsunori Kusakabe, Hiroki Koguchi, Izumi Hasegawa, Sho Matoya, Tomokatsu Miyaki, Yoshihide Kimura, Yoshito Tanaka, Hiromu Kondo, Atsushi Ozasa, Hayato Kawamura, Kayoko Kuno, Kei Fujiwara, Shunsuke Nojiri, Hiromi Kataoka","doi":"10.1159/000536367","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Atezolizumab plus bevacizumab (Atez/Bev) is the preferred treatment for advanced hepatocellular carcinoma (HCC). However, biomarkers of therapeutic efficacy have remained unclear. We took a retrospective approach to explore the role of prognostic nutritional index (PNI) for predicting the outcomes of Atez/Bev treatment.</p><p><strong>Methods: </strong>One hundred 25 HCC patients were enlisted; these patients received Atez/Bev treatment and underwent dynamic computerized tomography/magnetic resonance imaging to determine the treatment response on at least one occasion between October 2020 and January 2023, and their PNI before treatment and at the beginning of the second cycle (PNI-2c) was evaluated.</p><p><strong>Results: </strong>During the initial evaluation, 2 (2%), 28 (22%), 70 (56%), and 25 (20%) patients exhibited a complete response, partial response, stable disease, and progressive disease (PD), respectively. Patients with non-PD tended to have higher PNI at baseline and PNI-2c than those with PD (p = 0.245 and 0.122, respectively), with optimal baseline PNI and PNI-2c cut-off values of 42.6 and 40.4, respectively. PNI at baseline could not be used to predict overall survival (OS) or progression-free survival (PFS). However, PNI-2c predicted OS and PFS (PNI-2c ≥ 40.4 vs. < 40.4: 25.3 vs. 16.2 months, p = 0.008 for OS; 12.7 vs. 8.4 months, p = 0.036 for PFS). A multivariate analysis showed a significant association between PNI-2c and OS.</p><p><strong>Conclusions: </strong>PNI-2c is a predictor of prognosis in HCC patients treated with Atez/Bev therapy.</p>","PeriodicalId":19497,"journal":{"name":"Oncology","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic Nutritional Index after Introduction of Atezolizumab with Bevacizumab Predicts Prognosis in Advanced Hepatocellular Carcinoma: A Multicenter Study.\",\"authors\":\"Takanori Suzuki, Kentaro Matsuura, Yuta Suzuki, Fumihiro Okumura, Yoshihito Nagura, Satoshi Sobue, Daisuke Kato, Atsunori Kusakabe, Hiroki Koguchi, Izumi Hasegawa, Sho Matoya, Tomokatsu Miyaki, Yoshihide Kimura, Yoshito Tanaka, Hiromu Kondo, Atsushi Ozasa, Hayato Kawamura, Kayoko Kuno, Kei Fujiwara, Shunsuke Nojiri, Hiromi Kataoka\",\"doi\":\"10.1159/000536367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Atezolizumab plus bevacizumab (Atez/Bev) is the preferred treatment for advanced hepatocellular carcinoma (HCC). However, biomarkers of therapeutic efficacy have remained unclear. We took a retrospective approach to explore the role of prognostic nutritional index (PNI) for predicting the outcomes of Atez/Bev treatment.</p><p><strong>Methods: </strong>One hundred 25 HCC patients were enlisted; these patients received Atez/Bev treatment and underwent dynamic computerized tomography/magnetic resonance imaging to determine the treatment response on at least one occasion between October 2020 and January 2023, and their PNI before treatment and at the beginning of the second cycle (PNI-2c) was evaluated.</p><p><strong>Results: </strong>During the initial evaluation, 2 (2%), 28 (22%), 70 (56%), and 25 (20%) patients exhibited a complete response, partial response, stable disease, and progressive disease (PD), respectively. Patients with non-PD tended to have higher PNI at baseline and PNI-2c than those with PD (p = 0.245 and 0.122, respectively), with optimal baseline PNI and PNI-2c cut-off values of 42.6 and 40.4, respectively. PNI at baseline could not be used to predict overall survival (OS) or progression-free survival (PFS). However, PNI-2c predicted OS and PFS (PNI-2c ≥ 40.4 vs. < 40.4: 25.3 vs. 16.2 months, p = 0.008 for OS; 12.7 vs. 8.4 months, p = 0.036 for PFS). A multivariate analysis showed a significant association between PNI-2c and OS.</p><p><strong>Conclusions: </strong>PNI-2c is a predictor of prognosis in HCC patients treated with Atez/Bev therapy.</p>\",\"PeriodicalId\":19497,\"journal\":{\"name\":\"Oncology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000536367\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000536367","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/18 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Prognostic Nutritional Index after Introduction of Atezolizumab with Bevacizumab Predicts Prognosis in Advanced Hepatocellular Carcinoma: A Multicenter Study.
Introduction: Atezolizumab plus bevacizumab (Atez/Bev) is the preferred treatment for advanced hepatocellular carcinoma (HCC). However, biomarkers of therapeutic efficacy have remained unclear. We took a retrospective approach to explore the role of prognostic nutritional index (PNI) for predicting the outcomes of Atez/Bev treatment.
Methods: One hundred 25 HCC patients were enlisted; these patients received Atez/Bev treatment and underwent dynamic computerized tomography/magnetic resonance imaging to determine the treatment response on at least one occasion between October 2020 and January 2023, and their PNI before treatment and at the beginning of the second cycle (PNI-2c) was evaluated.
Results: During the initial evaluation, 2 (2%), 28 (22%), 70 (56%), and 25 (20%) patients exhibited a complete response, partial response, stable disease, and progressive disease (PD), respectively. Patients with non-PD tended to have higher PNI at baseline and PNI-2c than those with PD (p = 0.245 and 0.122, respectively), with optimal baseline PNI and PNI-2c cut-off values of 42.6 and 40.4, respectively. PNI at baseline could not be used to predict overall survival (OS) or progression-free survival (PFS). However, PNI-2c predicted OS and PFS (PNI-2c ≥ 40.4 vs. < 40.4: 25.3 vs. 16.2 months, p = 0.008 for OS; 12.7 vs. 8.4 months, p = 0.036 for PFS). A multivariate analysis showed a significant association between PNI-2c and OS.
Conclusions: PNI-2c is a predictor of prognosis in HCC patients treated with Atez/Bev therapy.
期刊介绍：
Although laboratory and clinical cancer research need to be closely linked, observations at the basic level often remain removed from medical applications. This journal works to accelerate the translation of experimental results into the clinic, and back again into the laboratory for further investigation. The fundamental purpose of this effort is to advance clinically-relevant knowledge of cancer, and improve the outcome of prevention, diagnosis and treatment of malignant disease. The journal publishes significant clinical studies from cancer programs around the world, along with important translational laboratory findings, mini-reviews (invited and submitted) and in-depth discussions of evolving and controversial topics in the oncology arena. A unique feature of the journal is a new section which focuses on rapid peer-review and subsequent publication of short reports of phase 1 and phase 2 clinical cancer trials, with a goal of insuring that high-quality clinical cancer research quickly enters the public domain, regardless of the trial’s ultimate conclusions regarding efficacy or toxicity.
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