bioRxivCancer BiologyPreprint
Loss of STIM2 in colorectal cancer drives growth and metastasis through metabolic reprogramming and PERK-ATF4 endoplasmic reticulum stress pathway
T. Pathak, J. C. Benson, M. T. Johnson, P. Xin, A. E. Abdelnaby, V. Walter, W. A. Kultun, G. S. Yochum, N. Hempel, M. Trebak
Abstract
The endoplasmic reticulum (ER) stores large amounts of calcium (Ca2+), and the controlled release of ER Ca2+ regulates a myriad of cellular functions. Although altered ER Ca2+ homeostasis is known to induce ER stress, the mechanisms by which ER Ca2+ imbalance activate ER stress pathways are poorly understood. Stromal-interacting molecules STIM1 and STIM2 are two structurally homologous ER-resident Ca2+ sensors that synergistically regulate Ca2+ influx into the cytosol through Orai Ca2+ channels for subsequent signaling to transcription and ER Ca2+ refilling. Here, we demonstrate that reduced STIM2, but not STIM1, in colorectal cancer (CRC) is associated with poor patient prognosis. Loss of STIM2 causes SERCA2-dependent increase in ER Ca2+, increased protein translation and transcriptional and metabolic rewiring supporting increased tumor size, invasion, and metastasis. Mechanistically, STIM2 loss activates cMyc and the PERK/ATF4 branch of ER stress in an Orai-independent manner. Therefore, STIM2 and PERK/ATF4 could be exploited for prognosis or in targeted therapies to inhibit CRC tumor growth and metastasis. HighlightsO_LISTIM2 regulates ER Ca2+ homeostasis independently of Orai and SOCE. C_LIO_LISTIM2 downregulation in colorectal cancer cells causes enhanced ER Ca2+ and is associated with poor patient prognosis. C_LIO_LISTIM2 downregulation induces PERK/ATF4 dependent ER stress in colorectal cancer. C_LIO_LIIncreased ER stress drives colorectal cancer metabolic reprogramming, growth, and metastasis. C_LI
- organism: human
- assay: proteomics
- assay: metabolomics
- assay: bulk RNA-seq
- research focus: cancer & tumor microenvironment
- research focus: cell signaling & trafficking
- research focus: metabolism & bioenergetics
- approach: experimental assay
- approach: mechanistic / dynamical model
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