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Over the past decade, our understanding of cancer metabolism has advanced significantly, revealing a complex and dynamic landscape of metabolic reprogramming that facilitates tumor progression and promotes therapeutic resistance. To survive under stressful conditions, cancer cells undergo crucial metabolic adaptations while also creating vulnerabilities that can be exploited for therapeutic purposes. Here, we discuss the evolving understanding of cancer cell metabolic adaptation in the tumor environment and the recent advances in identifying potential therapeutic mechanisms, including synthetic lethality, post-translational modifications (PTMs), as well as the interplay between metabolism and epigenetics. Furthermore, we discuss the integration of metabolic targeting with immune-based therapies and provide insights underscoring the potential of metabolic interventions to resensitize drug-resistant cancers and enhance efficacy for cancer treatment.
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http://dx.doi.org/10.1016/j.tem.2025.08.002 | DOI Listing |
Mutat Res Rev Mutat Res
September 2025
Institute of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China. Electronic address:
To maintain genomic stability, cells have evolved complex mechanisms collectively known as the DNA damage response (DDR), which includes DNA repair, cell cycle checkpoints, apoptosis, and gene expression regulation. Recent studies have revealed that long non-coding RNAs (lncRNAs) are pivotal regulators of the DDR. Beyond their established roles in recruiting repair proteins and modulating gene expression, emerging evidence highlights two particularly intriguing functions.
View Article and Find Full Text PDFPathol Res Pract
September 2025
Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China. Electronic address:
Background: Dermal clear cell sarcoma (DCCS) is a rare malignant mesenchymal neoplasm. Owing to the overlaps in its morphological and immunophenotypic profiles with a broad spectrum of tumors exhibiting melanocytic differentiation, it is frequently misdiagnosed as other tumor entities in clinical practice. By systematically analyzing the clinicopathological characteristics, immunophenotypic features, and molecular biological properties of DCCS, this study intends to further enhance pathologists' understanding of this disease and provide a valuable reference for its accurate diagnosis.
View Article and Find Full Text PDFJMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFEur J Gastroenterol Hepatol
August 2025
Department of Medical and Surgical Sciences, University of Bologna.
Background: Gastric cancer epidemiology evolved rapidly in the last century, shifting from being one of the main causes of cancer-related death to the sixth in high-income countries.
Methods: We conducted a narrative review on gastric cancer epidemiology. Our review focused on trends of gastric cancer and its relationship with Helicobacter pylori infection; cardia and noncardia gastric cancer risk factors; early onset gastric cancer; second primary cancers in patients with gastric cancer; and implementation of gastric cancer prevention strategies.
JCO Clin Cancer Inform
September 2025
USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Purpose: To evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness, and clarity, for the purpose of assessing their comprehension and perception among patients and caregivers.
Methods: Forty original abstracts (OAs) on prostate, bladder, kidney, and testis cancers from leading journals were selected. LASs were generated using a free GAI tool, with three versions per abstract for consistency.