Background: PD(L)1 antibodies (anti-PD(L)-1) have been a major breakthrough in several types of cancer. Novel patterns of response and progression have been described with anti-PD(L)-1. We aimed at characterizing pseudoprogression (PSPD) among patients with various solid tumor types treated by anti-PD(L)-1.
Methods: All consecutive patients (pts) enrolled in phase 1 trials with advanced solid tumors and lymphomas treated in phase I clinical trials evaluating monotherapy by anti-PD(L)-1 at Gustave Roussy were analyzed. We aimed to assess prevalence and outcome of PSPD across tumor types. We also intended to describe potential clinical and pathological factors associated with PSPD.
Results: A total of 169 patients treated with anti-PD(L)-1 were included in the study. Most frequent tumor types included melanoma (n = 57) and non-small cell lung cancer (n = 19). At first tumor evaluation 77 patients (46%) presented with immune unconfirmed progressive disease. Six patients (8%) experienced PSPD: 2 patients with partial response; 4 patients with stable disease. Increase in target lesions in the first CT-scan was more frequently associated to PSPD (67% vs 33%; P = .04). Patients with a PSPD had a superior survival when compared to patients progressing (median OS: 10.7 months vs 8.7 months; P = .07).
Conclusions: A small subset of PSPD patients may experience response after an initial progression. Assessment of the current strategy for immune-related response evaluations may require further attention.
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http://dx.doi.org/10.1002/cam4.2797 | DOI Listing |
Neuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
View Article and Find Full Text PDFItal J Dermatol Venerol
January 2025
1st Department of Dermatology-Venereology, Andreas Sygros Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
Background: Primary tumor thickness is important for prognosis of melanoma patients. To enhance prevention and quantify the true burden of melanoma, better understanding of thickness patterns and associated characteristics is crucial. Previous studies have been limited to report trends and address risk factors of thickness in specific melanoma subtypes in the Greek population.
View Article and Find Full Text PDFImmunotherapy has elicited significant improvements in outcomes for patients with several tumor types. However, the immunosuppressive microenvironment in glioblastoma restricts the therapeutic efficacy of immune checkpoint blockade (ICB). In this study, we investigated which components of the immune microenvironment contribute to ICB failure in glioblastoma to elucidate the underlying causes of immunotherapeutic resistance.
View Article and Find Full Text PDFAnal Chem
January 2025
Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun, Jilin 130041, P. R. China.
Neuropilin 1 (NRP1) is upregulated in various types of malignant tumors, especially non-small-cell lung cancer (NSCLC). However, the precise mechanisms for membrane localization and regulation are not fully understood. Observations from super-resolution microscopy have revealed that NRP1 tends to form nanoscale clusters on the cell membrane, with these clusters varying significantly in size and density across different regions.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.
Background: Borderline ovarian tumors (BOTs) differ from ovarian carcinomas in their clinical presentation and behavior, yet their molecular characteristics remain poorly understood. This study aims to address this gap by integrating whole-exome sequencing (WES) and RNA sequencing (RNA-seq) to compare BOTs with high-grade serous carcinoma (HGSC), endometrioid carcinoma (EC), and clear-cell carcinoma (CCC).
Objective: To elucidate the molecular features of BOTs and evaluate their similarities and differences in comparison to HGSC, EC, and CCC.
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