| Literature DB >> 22419892 |
Claire A Walsh1, Li Qin, Jean Ching-Yi Tien, Leonie S Young, Jianming Xu.
Abstract
In 1995, the steroid receptor coactivator-1 (SRC-1) was identified as the first authentic steroid receptor coactivator. Since then, the SRC proteins have remained at the epicenter of coregulator biology, molecular endocrinology and endocrine-related cancer. Cumulative works on SRC-1 have shown that it is primarily a nuclear receptor coregulator and functions to construct highly specific enzymatic protein complexes which can execute efficient and successful transcriptional activation of designated target genes. The versatile nature of SRC-1 enables it to respond to steroid dependent and steroid independent stimulation, allowing it to bind across many families of transcription factors to orchestrate and regulate complex physiological reactions. This review highlights the multiple functions of SRC-1 in the development and maintenance of normal tissue functions as well as its major role in mediating hormone receptor responsiveness. Insights from genetically manipulated mouse models and clinical data suggest SRC-1 is significantly overexpressed in many cancers, in particular, cancers of the reproductive tissues. SRC-1 has been associated with cellular proliferation and tumor growth but its major tumorigenic contributions are promotion and execution of breast cancer metastasis and mediation of resistance to endocrine therapies. The ability of SRC-1 to coordinate multiple signaling pathways makes it an important player in tumor cells' escape of targeted therapy.Entities:
Keywords: SRC-1; cancer.; coactivator; development; nuclear receptor; transcription
Mesh:
Substances:
Year: 2012 PMID: 22419892 PMCID: PMC3303173 DOI: 10.7150/ijbs.4125
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Figure 1SRC-1-mediated coactivation of NRs. To exert its coactivation function in transcription, SRC-1 interacts with hormone (H)-bound nuclear receptors (NRs) to recruit other components of a large coactivator complex to the hormone response elements of a target gene. Specifically, SRC-1 binds NRs through one of its three LXXLL motifs (L1, L2 and L3) in the NR interaction domain (NRID) and interacts with CBP and p300 through its activation domain 1 (AD1), with CARM1 and PRMT1 through its AD2 and with SWI/SNF through its AD3. p/CAF is a p300/CBP-associated factor. CBP, p300 and p/CAF are histone acetyltransferases. CARM1 and PRMT1 are histone methyltransferases. RHA is a RNA helicase. SWI/SNF is an ATP-dependent chromatin remodeling complex. The formation of such a coactivator complex results in chromatin remodeling and bridges the hormone-activated NRs with the general transcription machinery for transcriptional activation of their specific target genes. bHLH/PAS: basic helix-loop-helix-Per/Ah receptor nuclear translocation/Sim motif; Ac: acetylation; Me: methylation; TBP, TATA-binding protein.
Figure 2The human tissues with SRC-1 protein expression.
IHC Analysis of SRC-1 Protein Expression in Human Breast Cancer.
| References | SRC-1 Expression by IHC, (n) | Molecular Association | Pathological Association | Additional Observations |
|---|---|---|---|---|
| Hudelist | 28% (25) | ERβ+, | No association between SRC-1 and normal or malignant cancer | - |
| Fleming | 29% (52) | ERα+ | Poor outcome | 92% of recurrences were SRC-1 positive |
| Fleming | 26% (70) | HER2+ | Reduced disease free survival | Significant predictor of time to disease recurrence |
| Myers | 19% (150) | HER2+ | Larger tumors (>35mm) | 90% of recurrences were SRC-1 positive |
| Myers | 24% (134) | HER2+ | High grade tumors | Both Ets-1 and Ets-2 colocalize with SRC-1 in tumor cells |
| Redmond | 34% (560) | HER2+ | Distant metastasis | Significant predictor of time to disease recurrence |
| McIlroy | HOXC11+ | SRC-1 and HOXC11 are strong predictors of reduced disease free survival in a Tamoxifen treated population | ||
| McCartan | ADAM22+ | SRC-1 and ADAM22 are independent predictors of disease recurrence |
IHC immunohistochemistry; n, number of patient population; (+), positive association; (-), negative association; ER, estrogen receptor.