{"title":"Case report: Combination therapy of envafolimab with endostar for advanced non-small cell lung cancer with low PD-L1 expression.","authors":"Shuo Wu, Changhong Dong, Chenxi Hu, Kaiyuan Hui, Xiaodong Jiang","doi":"10.3389/fonc.2024.1437260","DOIUrl":null,"url":null,"abstract":"<p><p>In the management of advanced non-squamous non-small cell lung cancer (NSCLC) without driver gene mutations, the current therapeutic strategies encompass chemotherapy, chemotherapy combined with anti-angiogenic therapy, and chemotherapy combined with immunotherapy. For patients with high programmed death-ligand 1(PD-L1) expression, monotherapy with immune checkpoint inhibitors is a viable option. Recognizing that some patients cannot tolerate or decline chemotherapy, clinical practice has introduced non-chemotherapeutic treatment regimens, which have shown promising results. This article presents a clinical case of advanced NSCLC with low PD-L1 expression and negative driver gene mutations. The patient was treated with a chemotherapy-free regimen combining envafolimab with endostar. After 17 months of follow-up, both the primary tumor and metastatic lesions exhibited significant reduction, and no notable adverse reactions were observed. This case demonstrates the efficacy of envafolimab combined with endostar in the treatment of advanced NSCLC. This regimen enhances treatment safety and patient compliance, potentially offering a novel therapeutic option for patients with advanced NSCLC characterized by low PD-L1 expression and negative driver gene mutations.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"14 ","pages":"1437260"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11578815/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fonc.2024.1437260","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In the management of advanced non-squamous non-small cell lung cancer (NSCLC) without driver gene mutations, the current therapeutic strategies encompass chemotherapy, chemotherapy combined with anti-angiogenic therapy, and chemotherapy combined with immunotherapy. For patients with high programmed death-ligand 1(PD-L1) expression, monotherapy with immune checkpoint inhibitors is a viable option. Recognizing that some patients cannot tolerate or decline chemotherapy, clinical practice has introduced non-chemotherapeutic treatment regimens, which have shown promising results. This article presents a clinical case of advanced NSCLC with low PD-L1 expression and negative driver gene mutations. The patient was treated with a chemotherapy-free regimen combining envafolimab with endostar. After 17 months of follow-up, both the primary tumor and metastatic lesions exhibited significant reduction, and no notable adverse reactions were observed. This case demonstrates the efficacy of envafolimab combined with endostar in the treatment of advanced NSCLC. This regimen enhances treatment safety and patient compliance, potentially offering a novel therapeutic option for patients with advanced NSCLC characterized by low PD-L1 expression and negative driver gene mutations.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.