Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0027627 (metastases)
 103,950 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Stromal derived factors, SDFs, are a loosely defined group of molecules that may be generated by stromal cells. Two of the stromal derived factors, SDF-1 and SDF-4 belong to the chemokine family. Other SDFs, such as SDF-2 and SDF-5 are not well defined and their biological functions are less known. Although SDF-1 and its receptor have been strongly indicated in the progression of various cancers including breast cancer, little is known with regard to the role of other SDFs in malignant conditions including breast cancer. In the present study, we analysed the pattern of expression of SDF-2, SDF2-like-1, SDF-4 and SDF-5 in breast cancer tissues and cells, at transcript and protein levels. It was found that SDF-2, SDF2-L1, SDF-4, and SDF-5 were ubiquitously expressed in various cancer cell lines. However, in clear contrast to SDF-1 whose over-expression has been shown to be linked to a poor clinical outcome, the present study provides evidence that the opposite appear to be true for SDF-2/SDF2-L1, SDF-4 and SDF-5. Significantly low levels of SDF-2 and SDF-4 were seen in patients with poor clinical outcome (with metastatic disease and death as a result of breast cancer, p<0.05, and p<0.01 respectively), when compared with patients who remained disease-free. SDF2-L1 and SDF-5 showed a similar trend. SDF-2 and SDF-L1 were also independent prognostic indicators (p=0.047 and p=0.012, respectively). It is concluded that SDF-2, SDF-4 and SDF-5 are expressed in mammary tissues and cells and that a reduced level of SDF-2, SDF2-L1 and SDF-4 are associated with a poor clinical outcome. These SDFs thus have prognostic value and warrant further investigation in their biological functions and clinical value.
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PMID:Transcript analyses of stromal cell derived factors (SDFs): SDF-2, SDF-4 and SDF-5 reveal a different pattern of expression and prognostic association in human breast cancer. 1951 69

To catalog protein-altering mutations that may drive the development of prostate cancers and their progression to metastatic disease systematically, we performed whole-exome sequencing of 23 prostate cancers derived from 16 different lethal metastatic tumors and three high-grade primary carcinomas. All tumors were propagated in mice as xenografts, designated the LuCaP series, to model phenotypic variation, such as responses to cancer-directed therapeutics. Although corresponding normal tissue was not available for most tumors, we were able to take advantage of increasingly deep catalogs of human genetic variation to remove most germline variants. On average, each tumor genome contained ~200 novel nonsynonymous variants, of which the vast majority was specific to individual carcinomas. A subset of genes was recurrently altered across tumors derived from different individuals, including TP53, DLK2, GPC6, and SDF4. Unexpectedly, three prostate cancer genomes exhibited substantially higher mutation frequencies, with 2,000-4,000 novel coding variants per exome. A comparison of castration-resistant and castration-sensitive pairs of tumor lines derived from the same prostate cancer highlights mutations in the Wnt pathway as potentially contributing to the development of castration resistance. Collectively, our results indicate that point mutations arising in coding regions of advanced prostate cancers are common but, with notable exceptions, very few genes are mutated in a substantial fraction of tumors. We also report a previously undescribed subtype of prostate cancers exhibiting "hypermutated" genomes, with potential implications for resistance to cancer therapeutics. Our results also suggest that increasingly deep catalogs of human germline variation may challenge the necessity of sequencing matched tumor-normal pairs.
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PMID:Exome sequencing identifies a spectrum of mutation frequencies in advanced and lethal prostate cancers. 2194 89