Ferroptosis, a form of regulated cell death triggered by lipid hydroperoxide accumulation, has an important role in a variety of diseases and pathological conditions, such as cancer. Targeting ferroptosis is emerging as a promising means of therapeutic intervention in cancer treatment. Polyunsaturated fatty acids, reactive oxygen species, and labile iron constitute the major underlying triggers for ferroptosis. Other regulators of ferroptosis have also been discovered recently, among them the mechanistic target of rapamycin complex 1 (mTORC1), a central controller of cell (...) growth and metabolism. Inhibitors of mTORC1 have been used in treating diverse diseases, including cancer. In this review, we discuss recent findings linking mTORC1 to ferroptosis, dissect mechanisms underlying the establishment of mTORC1 as a key ferroptosis modulator, and highlight the potential of co‐targeting mTORC1 and ferroptosis in cancer treatment. This review will provide valuable insights for future investigations of ferroptosis and mTORC1 in fundamental biology and cancer therapy. (shrink)

Altered cellular metabolism is an emerging hallmark of cancer. Accumulating recent evidence links long non‐coding RNAs (lncRNAs), a still poorly understood class of non‐coding RNAs, to cancer metabolism. Here we review the emerging findings on the functions of lncRNAs in cancer metabolism, with particular emphasis on how lncRNAs regulate glucose and glutamine metabolism in cancer cells, discuss how lncRNAs regulate various aspects of cancer metabolism through their cross‐talk with other macromolecules, explore the mechanistic conceptual framework of lncRNAs in reprogramming metabolism (...) in cancers, and highlight the challenges in this field. A more in‐depth understanding of lncRNAs in cancer metabolism may enable the development of novel and effective therapeutic strategies targeting cancer metabolism. (shrink)

Altered cellular metabolism is an emerging hallmark of cancer. Accumulating recent evidence links long non‐coding RNAs (lncRNAs), a still poorly understood class of non‐coding RNAs, to cancer metabolism. Here we review the emerging findings on the functions of lncRNAs in cancer metabolism, with particular emphasis on how lncRNAs regulate glucose and glutamine metabolism in cancer cells, discuss how lncRNAs regulate various aspects of cancer metabolism through their cross‐talk with other macromolecules, explore the mechanistic conceptual framework of lncRNAs in reprogramming metabolism (...) in cancers, and highlight the challenges in this field. A more in‐depth understanding of lncRNAs in cancer metabolism may enable the development of novel and effective therapeutic strategies targeting cancer metabolism. (shrink)

Recent studies have shown that the brain functional connectome constitutes a unique fingerprint that allows the identification of individuals from a group. However, what information encoded in the brain that makes us unique remains elusive. Here, we addressed this issue by examining how individual identifiability changed along the language hierarchy. Subjects underwent fMRI scanning during rest and when listening to short stories played backward, scrambled at the sentence level, and played forward. Identification for individuals was performed between two scan sessions (...) for each task as well as between the rest and task sessions. We found that individual identifiability tends to increase along the language hierarchy: the more complex the task is, the better subjects can be distinguished from each other based on their whole-brain functional connectivity profiles. A similar principle is found at the functional network level: compared to the low-order network (the auditory network), the high-order network is more individualized (the frontoparietal network). Moreover, in both cases, the increase in individual identifiability is accompanied by the increase in inter-subject variability of functional connectivities. These findings advance the understanding of the source of brain individualization and have potential implications for developing robust connectivity-based biomarkers. (shrink)