A novel highly potent trivalent TGF-β receptor trap inhibits early-stage tumorigenesis and tumor cell invasion in murine Pten-deficient prostate glands
Bibliographic record
Abstract
// Tai Qin 1, 2 , Lindsey Barron 1 , Lu Xia 1, 3 , Haojie Huang 5 , Maria M. Villarreal 4 , John Zwaagstra 9 , Cathy Collins 9 , Junhua Yang 1 , Christian Zwieb 4 , Ravindra Kodali 8 , Cynthia S. Hinck 8 , Sun Kyung Kim 4 , Robert L. Reddick 6 , Chang Shu 2 , Maureen D. O’Connor-McCourt 9 , Andrew P. Hinck 8 , Lu-Zhe Sun 1, 7 1 Department of Cell Systems and Anatomy, University of Texas Health Science Center, San Antonio, TX, USA 2 Department of Vascular Surgery, Second Xiangya Hospital and Xiangya School of Medicine, Central South University, Hunan, China 3 Department of Gynecology and Obstetrics, Xiangya Hospital and Xiangya School of Medicine, Central South University, Hunan, China 4 Department of Biochemistry, University of Texas Health Science Center, San Antonio, TX, USA 5 Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN, USA 6 Department of Pathology, University of Texas Health Science Center, San Antonio, TX, USA 7 Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, Texas, USA 8 Department of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA USA 9 National Research Council Human Health Therapeutics Portfolio, Montréal, Quebec, Canada, Maureen O'Connor-McCourt is currently affiliated with Formation Biologics, Montréal, Quebec, Canada Correspondence to: Lu-Zhe Sun, email: SUNL@uthscsa.edu Andrew P. Hinck, email: ahinck@pitt.edu Keywords: TGF-β trap, RER, tumorigenesis, Pten, prostate cancer Received: August 15, 2016 Accepted: November 07, 2016 Published: November 14, 2016 ABSTRACT The effects of transforming growth factor beta (TGF-β) signaling on prostate tumorigenesis has been shown to be strongly dependent on the stage of development, with TGF-β functioning as a tumor suppressor in early stages of disease and as a promoter in later stages. To study in further detail the paradoxical tumor-suppressive and tumor-promoting roles of the TGF-β pathway, we investigated the effect of systemic treatment with a TGF-β inhibitor on early stages of prostate tumorigenesis. To ensure effective inhibition, we developed and employed a novel trivalent TGF-β receptor trap, RER, comprised of domains derived from the TGF-β type II and type III receptors. This trap was shown to completely block TβRII binding, to antagonize TGF-β1 and TGF-β3 signaling in cultured epithelial cells at low picomolar concentrations, and it showed equal or better anti-TGF-β activities than a pan TGF-β neutralizing antibody and a TGF-β receptor I kinase inhibitor in various prostate cancer cell lines. Systemic administration of RER inhibited prostate tumor cell proliferation as indicated by reduced Ki67 positive cells and invasion potential of tumor cells in high grade prostatic intraepithelial neoplasia (PIN) lesions in the prostate glands of Pten conditional null mice. These results provide evidence that TGF-β acts as a promoter rather than a suppressor in the relatively early stages of this spontaneous prostate tumorigenesis model. Thus, inhibition of TGF-β signaling in early stages of prostate cancer may be a novel therapeutic strategy to inhibit the progression as well as the metastatic potential in patients with prostate cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".