Rapamycin is widely recognized as an inhibitor of mTOR, and has been approved for clinical use as an immunosuppressant. Its potencies in anti-cancer, anti-aging, and neurodegenerative diseases are emergingly established. The exploration of other targets of rapamycin will further elucidate its underlying mechanisms of action. In this study, we use a chemical proteomics strategy that has identified STAT3, a transcription factor considered to be undruggable, as a direct functional protein target of rapamycin. Together with other multi-dimensional proteomics data, we show that rapamycin treatment in cell culture significantly inhibits c-Myc-regulated gene expression. Furthermore, we show that rapamycin suppresses tumor growth along with a decreased expression of STAT3 and c-Myc in an in vivo xenograft mouse model for hepatocellular carcinoma. Our data suggest that rapamycin acts directly on STAT3 to decrease its transcription activity, providing important information for the pharmacological and pharmaceutical development of STAT3 inhibitors for cancer therapy.
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http://dx.doi.org/10.1016/j.chembiol.2021.10.006 | DOI Listing |
Transgenic Res
January 2025
Laboratory of Cell and Developmental Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, 142 20, Prague 4, Czech Republic.
Proto-oncogene KRAS, GTPase (KRAS) is one of the most intensively studied oncogenes in cancer research. Although several mouse models allow for regulated expression of mutant KRAS, selective isolation and analysis of transforming or tumor cells that produce the KRAS oncogene remains a challenge. In our study, we present a knock-in model of oncogenic variant KRAS that enables the "activation" of KRAS expression together with production of red fluorescent protein tdTomato.
View Article and Find Full Text PDFMol Biol Cell
January 2025
Laboratory of Cancer Pathology, Centre for Advanced Studies and Technology (CAST), University "G. D'Annunzio", Chieti, Italy.
The transmembrane glycoproteins Trop-1/EpCAM and Trop-2 independently trigger Ca and kinase signals for cell growth and tumor progression. Our findings indicated that Trop-1 and Trop-2 tightly colocalize at macroscopic, ruffle-like protrusions (RLP), that elevate from the cell perimeter, and locally recur over hundreds of seconds. These previously unrecognized elevated membrane regions ≥20 µm-long, up to 1.
View Article and Find Full Text PDFAnal Chem
January 2025
Zhejiang Engineering Research Center of Advanced Mass Spectrometry and Clinical Application, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
Bioimaging technology has been broadly used in biomedicine, and the growth of multimodal imaging technology based on synergistic advantages can overcome the shortcomings of traditional single-modal bioimaging methods and attain high specificity and sensitivity in the fields of bioimaging and biosensing. The analysis of low-abundance microRNAs (miRNAs) in complex organisms is of high importance for early-stage diagnosis and clinical treatment of tumors. In our current study, a biosensing nanoplatform based on Tf-AuNCs and MnO nanosheets was developed for multimodal imaging of tumor cells.
View Article and Find Full Text PDFRev Esp Enferm Dig
January 2025
Hepatobiliary Pancreatic Surgery, Jiaozhou Branch of Shanghai East Hospital.
Background: Long non-coding RNAs (lncRNAs) are major research factors in a variety of diseases, and lncRNA OIP5-AS1 (OIP5-AS1) was shown to mediate the progression of various tumors. This paper discusses how OIP5-AS1 could potentially be used for diagnosing and prognosticating cholangiocarcinoma (CHOL).
Methods: The ENROCI project evaluated the OIP5-AS1 expression in CHOL samples and confirmed it using RT-qPCR.
Int J Surg
December 2024
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background: Growth hormone-secreting pituitary adenomas (GHPA) display diverse biological behaviors and clinical outcomes, necessitating the identification of tumor heterogeneity and prognostically relevant markers.
Methods: In this study, we performed single-cell RNA sequencing (scRNA-seq) on 10 GHPA samples, four of which also underwent spatial transcriptome sequencing, and used scRNA-seq data from four normal pituitary samples as controls. Cell subtype characterization in GHPA was analyzed using multiple algorithms to identify malignant bias regulators, which were then validated using a clinical cohort.
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