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Biology subjects

Abdulkader, I.

Publications and source records attributed to Abdulkader, I..

2 recordsLinked to original sources

Patient-derived organoids from malignant pleural effusion to explore for alternative therapies in thoracic tumors

Thoracic malignancies, including lung adenocarcinoma (ADC) and malignant pleural mesothelioma (MPM), remain associated with poor prognosis and limited durable therapeutic responses in advanced stages. Although targeted therapies and immunotherapy have improved outcomes in selected patients, systemic chemotherapy continues to play a central role in routine clinical practice. However, treatment response is highly heterogeneous, and reliable predictive biomarkers of chemotherapy sensitivity are lacking. Both ADC and MPM frequently involve the pleural cavity and are commonly associated with malignant pleural effusion (MPE), which contributes to symptoms such as dyspnea and chest pain and requires therapeutic drainage. Importantly, MPE represents a clinically accessible source of viable tumor cells obtained through minimally invasive procedures. In this study, we established patient-derived organoids (PDOs) from malignant pleural effusion samples obtained from five patients with advanced lung adenocarcinoma and, as an exploratory extension, from one patient with malignant pleural mesothelioma. Organoids were characterized by immunohistochemistry and subjected to systematic chemotherapy drug screening. Inter-model variability in treatment response was assessed, and selected drug sensitivities were further validated through dose-response assays. Pleural effusion-derived organoids successfully recapitulated tumor-specific phenotypic features and revealed marked heterogeneity in chemotherapy sensitivity across models. Secondary validation confirmed the reproducibility of selected responses. Our findings support the feasibility of generating functional organoid models from malignant pleural effusions and highlight their potential as translational platforms for individualized chemotherapy profiling in advanced thoracic malignancies.

cancer biology↗

Genomic Insights Guiding Personalized First-Line Immunotherapy Response in Lung and Bladder Tumors

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, particularly in advanced non-small cell lung cancer (NSCLC) and muscle-invasive bladder cancer (MIBC). However, identifying reliable predictive biomarkers for ICI response remains a significant challenge. In this study, we analyzed real-world cohorts of advanced NSCLC and MIBC patients treated with ICIs as first-line therapy. Tumor samples underwent Whole Genome Sequencing (WGS) to identify specific somatic variants and assess tumor mutational burden (TMB). Additionally, mutational signature extraction and pathway enrichment analyses were performed to uncover the underlying mechanisms of ICI response. We also characterized HLA-I haplotypes and investigated LINE-1 retrotransposition. Distinct mutation patterns were identified in patients who responded to treatment, suggesting potential biomarkers for predicting ICI effectiveness. In NSCLC, tumor mutational burden (TMB) did not differ significantly between responders and non-responders, while in MIBC, higher TMB was linked to better responses. Specific mutational signatures and HLA haplotypes were associated with ICI response in both cancers. Pathway analysis showed that NSCLC responders had active inflammatory and immune pathways, while non-responders had pathways such related to FGFR3 and neural crest differentiation associated to resistance mechanisms. In MIBC, responders had alterations in DNA repair, leading to more neoantigens and a stronger ICI response. Importantly, for the first time, we found that LINE-1 activation was positively linked to ICI response, especially in MIBC. These findings reveal promising biomarkers and mechanistic insights, offering a new perspective on predicting ICI response and opening up exciting possibilities for more personalized immunotherapy strategies in NSCLC and MIBC.

genomics↗