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Identification and validation of a prognostic signature of drug resistance and mitochondrial energy metabolism-related differentially expressed genes for breast cancer.

J Transl Med

January 2025

Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.

Background: Drug resistance constitutes one of the principal causes of poor prognosis in breast cancer patients. Although cancer cells can maintain viability independently of mitochondrial energy metabolism, they remain reliant on mitochondrial functions for the synthesis of new DNA strands. This dependency underscores a potential link between mitochondrial energy metabolism and drug resistance.

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Low-exhaustion peripheral circulating γδ T cells serve as a biomarker for predicting the clinical benefit rate of non-small cell lung cancer (NSCLC) patients to chemotherapy or targeted therapy: a single-center retrospective study.

BMC Cancer

January 2025

Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.

Background: Multiple studies have demonstrated that the abundance and functionality of γδ T cells are favorable prognostic indicators for prolonged survival in cancer patients. However, the association between the immunophenotype of circulating γδ T cells and the therapeutic response in NSCLC patients undergoing chemotherapy or targeted therapy remains unclear.

Methods: Patients with EGFR wild-type (EGFR-WT) or mutant (EGFR-Mut) non-small cell lung cancer (NSCLC), diagnosed between January 2020 and January 2024, were included in this study.

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Background: During the COVID-19 pandemic, nursing home (NH) residents faced the highest risk of severe COVID-19 disease and mortality. Due to their frailty status, comorbidity burden can serve as a useful predictive indicator of vulnerability in this frail population. However, the prognostic value of these cumulative comorbidity scores like the Charlson comorbidity index (CCI) remained unclear in this population.

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Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.

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Cardiac sarcomas are rare, aggressive malignancies originating from various cardiac cell types, presenting significant challenges in both diagnosis and treatment. This comprehensive review explores recent advancements in diagnosis and treatment of cardiac angiosarcoma, fibrosarcoma, leiomyosarcoma, and rhabdomyosarcoma. And we briefly discuss the exceedingly rare occurrence of cardiac osteosarcoma and present our perspectives on its treatment.

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