Aim: This is a prospective study of cutaneous adverse events (CAEs) in lung cancer patients treated by programmed cell death-1(PD-1) inhibitors and programmed cell death-ligand 1(PD-L1) inhibitors-based single or combination therapy.
Patients & Methods: It were included that lung cancer patients who developed CAEs from January 2019 to July 2021 after applying PD-1/PD-L1 inhibitors in our institution.
Results: A total of 107 patients with 112 CAEs were enrolled, of which 71 patients received PD-1/PD-L1 inhibitors plus chemotherapy, 31 patients received PD-1/PD-L1 inhibitors plus anti-angiogenic/targeted therapy, and 5 patients received PD-1/PD-L1 inhibitors monotherapy. The median time to CAEs onset was 8.7w (0.3w-70.7w) for PD-1/PD-L1 inhibitors plus chemotherapy, 10.1w (0.4w-103.0w) for PD-1/PD-L1 inhibitors plus anti-angiogenic/targeted therapy, and 13.6w (0.7w-50.6w) for PD-1/PD-L1 inhibitors monotherapy. The most common CAEs were reactive cutaneous capillary endothelial proliferation (RCCEP) (30.8%, 33/107), followed by eczematous (21.5%, 23/107) and pruritus only (15.9%, 17/107). 7 patients (6.5%, 7/107) had grade 3-4 CAE.
Conclusion: Most CAEs are mild to moderate and easily controlled. Early diagnosis and intervention for CAEs are important.
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http://dx.doi.org/10.1016/j.currproblcancer.2022.100934 | DOI Listing |
Esophagus
January 2025
Department of Medical Oncology, National Taiwan University Cancer Center, 7 Chung-Shan South Road, Taipei, 10002, Taiwan.
Esophageal squamous cell carcinoma (ESCC) is a prevalent and highly lethal malignancy in Asia. Recent advancements in immune checkpoint inhibitors (ICIs) have markedly transformed the systemic therapy landscape for ESCC. Anti-PD-1-based combination with chemotherapy or with ipilimumab, an anti-CTLA-4 antibody, have been established as the new standard first-line treatments for patients with advanced ESCC.
View Article and Find Full Text PDFEJNMMI Radiopharm Chem
January 2025
Department of Radioactive Materials, Instituto Nacional de Investigaciones Nucleares, Ocoyoacac, 52750, Mexico.
Background: Cancer immunotherapy is a relatively new approach to cancer treatment. Peptides that target specific pathways and cells involved in immunomodulation can potentially improve the efficacy of cancer therapy. Recently, we reported iPD-L1 as a novel inhibitor peptide that specifically targets the cancer cell ligand PD-L1 (programmed death ligand 1).
View Article and Find Full Text PDFBackground: Identifying the underlying mechanisms of immune checkpoint inhibitor resistance in patients with cachexia is a current challenge. Ghrelin is a peptide hormone that plays an important role in the metabolism of patients with cancer cachexia. Despite the importance of ghrelin in cancer cachexia, most previous studies on the subject have not distinguished between the forms of ghrelin.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Davidoff Cancer Center, Rabin Medical Center, Petach Tikvah, Israel.
Importance: Three similar phase 3 randomized clinical trials have investigated PD-1/PD-L1 (programmed cell death 1 protein/programmed cell death 1 ligand 1) inhibitors in combination with platinum-based chemotherapy vs chemotherapy alone as first-line treatment for advanced urothelial carcinoma (IMvigor130, atezolizumab; KEYNOTE-361, pembrolizumab; and CheckMate901, nivolumab). Only CheckMate901 reported overall survival (OS) benefit for the combination. The reason for these inconsistent results is unclear.
View Article and Find Full Text PDFFront Immunol
January 2025
Beijing Traditional Chinese Medicine Office for Cancer Prevention and Control, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
Background: The body of research on tumor-infiltrating lymphocytes (TILs) is expanding rapidly; yet, a comprehensive analysis of related publications has been notably absent.
Objective: This study utilizes bibliometric methodologies to identify emerging research hotspots and to map the distribution of tumor-infiltrating lymphocyte research.
Methods: Literature from the Web of Science database was analyzed and visualized using VOSviewer, CiteSpace, Scimago Graphica, R-bibliometrix, and R packages.
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