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Prostate cancer-associated fibroblasts (prostate CAFs) are essential components of the tumor microenvironment and can promote tumor progression through their immunosuppressive functions. MPSSS, a novel polysaccharide purified from Lentinus edodes, has been reported to have anti-tumor activity. MPSSS could also inhibit the immunosuppressive function of prostate CAFs, which has been demonstrated through that the secretome of MPSSS-treated prostate CAFs could inhibit the proliferation of T cells. However, how the secretome of MPSSS-treated prostate CAFs influence prostate cancer progression is still unclear. Interestingly, we found that the low molecular weight (3-100kD) secretome of prostate CAFs (lmwCAFS) could promote the growth of PC-3 cells, while that of MPSSS-treated prostate CAFs (MT-lmwCAFS) could inhibit their growth. We carried out comparative secretomic analysis of lmwCAFS and MT-lmwCAFS to identify functional molecules that inhibit the growth of PC-3 cells, and proteomic analysis of lmwCAFS-treated PC-3 cells and MT-lmwCAFS-treated PC-3 cells to investigate the underlying molecular mechanism. These analyses suggest that TGF-β3 from MT-lmwCAFS may inhibit the growth of PC-3 cells. The validated experiments revealed that TGF-β3 from MT-lmwCAFS activated p21 expression in PC-3 cells by regulating the FoxO pathway thereby inducing G0/G1 cell cycle arrest of PC-3 cells. Overall, our data demonstrated that MPSSS reversed the ability of prostate CAFs to suppress the cell viability of PC-3 cells, which might provide a potential therapeutic strategy to prevent prostate cancer progression.
Pubmed ID: 33704935
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Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)
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View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsA software package and server used to identify and characterize proteins from primary sequence databases using mass spectrometry data. Mascot integrates peptide mass fingerprinting, sequence querying, and MS/MS ion searching in order to search for proteins in databases like SwissProt, NCBInr, EMBL EST divisions, contaminants, and cRAP. If a license is purchased, users may: search data sets that exceed the 1200 spectrum limit of the free version; set up automated, high throughput work; add and edit proteins and quantification methods; and search a preferred collection of sequence databases. The software package works with instruments from AB Sciex, Agilent, Bruker, Jeol, Shimadzu, Thermo Scientific, and Waters.
View all literature mentionsSoftware for identifying, characterizing, and quantifying proteins in biological samples. Can be used for range of proteomics workflows such as protein and peptide identification, PTM analysis, and isobaric mass tagging for quantification. Supports multiple database search algorithms and multiple dissociation techniques.
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