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  • American Association for Cancer Research (AACR)  (4)
  • 2020-2024  (4)
  • 1
    Online Resource
    Online Resource
    Abstract 6962: Shed Trop2 drives prostate cancer progression and Trop2 is a novel tissue prognostic biomarker and a candidate urinary marker for prostate cancer
    American Association for Cancer Research (AACR) ; 2024
    In:  Cancer Research Vol. 84, No. 6_Supplement ( 2024-03-22), p. 6962-6962
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 84, No. 6_Supplement ( 2024-03-22), p. 6962-6962
    Abstract: Distinguishing indolent from clinically significant localized prostate cancer and treatment of metastatic prostate cancer are two major clinical challenges in prostate cancer. The development of novel predictive biomarkers will help with risk stratification, and influence clinical decision-making between treatment and active surveillance, leading to a decrease in over or under-treatment of patients with prostate cancer. Here, we report that Trop2, an oncogenic transmembrane surface protein, is a prognostic tissue biomarker for clinically significant prostate cancer by utilizing the Canary Prostate Cancer Tissue Microarray (CPCTA) cohort composed of over 1100 patients from a multi-institutional study. We demonstrate that higher Trop2 expression is correlated with worse clinical features and elevated Trop2 expression at radical prostatectomy predicts worse overall survival in men undergoing radical prostatectomy. Additionally, we detected shed Trop2 in urine from men with clinically significant prostate cancer. We further define the functional role of shed Trop2 on metastasis in prostate cancer and identify that shed Trop2 increases cell migration, invasion, metastatic colonization, and spontaneous metastasis in vitro and in vivo. Proteomic profiling reveals that shed Trop2 modulates a set of proteins associated with invasion, migration, mTOR signaling, and epithelial-to-mesenchymal transition. shed Trop2 binds to EGFR and results in the activation of the EGFR-PI3K-AKT-mTOR pathway in prostate cancer. Our study reveals the new function of shed Trop2 in driving prostate cancer progression and identifies Trop2 as a novel tissue prognostic biomarker and a candidate non-invasive marker for prostate cancer that could be used to optimize treatment decision-making. Citation Format: Shiqin Liu, Sarah Hawley, Christian Kunder, En-Chi Hsu, Michelle Shen, Merve Aslan, Fernando J. Marques, Chung S. Lee, Abel Bermudez, Lennart Westphalen, Heidi Auman, Lisa F. Newcomb, Daniel W. Lin, Peter S. Nelson, Ziding Feng, Maria S. Tretiakova, Lawrence D. True, Funda Vakar-Lopez, Peter R. Carroll, Jeffry Simko, Martin E. Gleave, Dean A. Troyer, Jesse K. McKenney, Donna Peehl, Sharon J. Pitteri, James D. Brooks, Michael A. Liss, Tanya Stoyanova. Shed Trop2 drives prostate cancer progression and Trop2 is a novel tissue prognostic biomarker and a candidate urinary marker for prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6962.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2024-6962
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2024
    detail.hit.zdb_id: 2036785-5
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  • 2
    Online Resource
    Online Resource
    Abstract B048: Performance of diagnostic biomarkers in the Canary Prostate cancer Active Surveillance Study (PASS)
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 11_Supplement ( 2023-06-02), p. B048-B048
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 11_Supplement ( 2023-06-02), p. B048-B048
    Abstract: Introduction Many biomarker assays improve sensitivity in diagnosing high grade prostate cancer (PCa), but their performance during active surveillance, after a diagnosis of PCa, is not well understood. Procedures In the multicenter Canary PASS cohort, we explored the contribution of four distinct biomarker panels (blood-based: 4Kpanel, phi; urine-based: PCA3, MDxSelect RNA) and clinical variables in predicting 4-year extreme biopsy reclassification to Gleason Grade Group 3 (GG3) or above. Biomarker assays were performed between 2014-2020 on subcohorts including 727-1,176 participants; outcomes were collected through March 2020. Models were built using a) biomarker, b) biomarker + prostate volume, c) biomarker + biopsy variables d) biomarker + prostate volume + biopsy variables, and, for urine markers e) biomarker + prostate volume + biopsy variables + serum PSA. Clinical PSA was used as a reference. Partly conditional Cox proportional hazards regression models for residual time to event were constructed based on information available at each prediction time, accounting for competing risk. The probability of extreme reclassification within 4 years was calculated after diagnosis and after first follow-up biopsy (Bx1) and the accuracy was assessed with the cross-validated receiver operating characteristic (ROC) curve analysis. Results Cross validated Areas Under the Curve (AUCs) for predictions made with biomarkers ranged from 0.648 (95% CI: 0.581, 0.716) to 0.755 (95% CI: 0.687, 0.824) after diagnosis and from 0.588 (95% CI: 0.480, 0.696) to 0.669 (95% CI: 0.558, 0.780) after Bx1, and were consistently higher than AUCs for clinical PSA at both timepoints; the difference in AUC between biomarker and PSA was statistically significant only for 4Kpanel and phi. Adding clinical variables to predictive models improved AUCs to varying degrees; AUCs for full models with all variables were 0.702 (95% CI: 0.641, 0.764) to 0.776 (95% CI: 0.715, 0.837) after diagnosis and 0.740 (95% CI: 0.656, 0.824) to 0.763 (95% CI: 0.691, 0.836) after Bx1. Adding clinical variables to blood biomarkers resulted in less incremental improvement than for urine markers. A limitation of this study is that prostate MRI was not part of the PASS protocol, although MRI data collected suggests minimal predictive ability during active surveillance. Conclusions Our results suggest that early during prostate cancer active surveillance the blood-based biomarkers of the 4Kpanel and phi may predict future reclassification to higher grade cancer as well as or better than common clinical variables. Clinical variables improve the performance of the urine-based markers of PCA3 or MDxSelect. External validation studies are needed. Citation Format: Lisa F. Newcomb, Yingye Zheng, Menghan Liu, James D. Brooks, Peter R. Carroll, Atreya Dash, William J. Ellis, Christopher J. Filson, Martin E. Gleave, Michael A. Liss, Frances M. Martin, Todd M. Morgan, Peter S. Nelson, Andrew A. Wagner, Daniel W. Lin. Performance of diagnostic biomarkers in the Canary Prostate cancer Active Surveillance Study (PASS) [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr B048.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.PRCA2023-B048
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
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  • 3
    Online Resource
    Online Resource
    Neoplastic–Stromal Cell Cross-talk Regulates Matrisome Expression in Pancreatic Cancer
    American Association for Cancer Research (AACR) ; 2020
    In:  Molecular Cancer Research Vol. 18, No. 12 ( 2020-12-01), p. 1889-1902
    Details
    In: Molecular Cancer Research, American Association for Cancer Research (AACR), Vol. 18, No. 12 ( 2020-12-01), p. 1889-1902
    Abstract: Pancreatic ductal adenocarcinoma (PDAC) is characterized by a highly desmoplastic reaction, warranting intense cancer–stroma communication. In this study, we interrogated the contribution of the BET family of chromatin adaptors to the cross-talk between PDAC cells and the tumor stroma. Short-term treatment of orthotopic xenograft tumors with CPI203, a small-molecule inhibitor of BET proteins, resulted in broad changes in the expression of genes encoding components of the extracellular matrix (matrisome) in both cancer and stromal cells. Remarkably, more than half of matrisome genes were expressed by cancer cells. In vitro cocultures of PDAC cells and cancer-associated fibroblasts (CAF) demonstrated that matrisome expression was regulated by BET-dependent cancer–CAF cross-talk. Disrupting this cross-talk in vivo resulted in diminished growth of orthotopic patient-derived xenograft tumors, reduced proliferation of cancer cells, and changes in collagen structure consistent with that of patients who experienced better survival. Examination of matrisome gene expression in publicly available data sets of 573 PDAC tumors identified a 65-gene signature that was able to distinguish long- and short-term PDAC survivors. Importantly, the expression of genes predictive of short-term survival was diminished in the cancer cells of orthotopic xenograft tumors of mice treated with CPI203. Taken together, these results demonstrate that inhibiting the activity BET proteins results in transcriptional and structural differences in the matrisome are associated with better patient survival. Implications: These studies highlight the biological relevance of the matrisome program in PDAC and suggest targeting of epigenetically driven tumor–stroma cross-talk as a potential therapeutic avenue.
    Type of Medium: Online Resource
    ISSN: 1541-7786 , 1557-3125
    URL: Article
    DOI: 10.1158/1541-7786.MCR-20-0439
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2098788-2
    detail.hit.zdb_id: 2097884-4
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    Allysine-Targeted Molecular MRI Enables Early Prediction of Chemotherapy Response in Pancreatic Cancer
    American Association for Cancer Research (AACR) ; 2024
    In:  Cancer Research Vol. 84, No. 15 ( 2024-08-01), p. 2549-2560
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 84, No. 15 ( 2024-08-01), p. 2549-2560
    Abstract: Neoadjuvant therapy is routinely used in pancreatic ductal adenocarcinoma (PDAC), but not all tumors respond to this treatment. Current clinical imaging techniques are not able to precisely evaluate and predict the response to neoadjuvant therapies over several weeks. A strong fibrotic reaction is a hallmark of a positive response, and during fibrogenesis, allysine residues are formed on collagen proteins by the action of lysyl oxidases. Here, we report the application of an allysine-targeted molecular MRI probe, MnL3, to provide an early, noninvasive assessment of treatment response in PDAC. Allysine increased 2- to 3-fold after one dose of neoadjuvant therapy with FOLFIRINOX in sensitive human PDAC xenografts in mice. Molecular MRI with MnL3 could specifically detect and quantify fibrogenesis in PDAC xenografts. Comparing the MnL3 signal before and 3 days after one dose of FOLFIRINOX predicted subsequent treatment response. The MnL3 tumor signal increased by 70% from day 0 to day 3 in mice that responded to subsequent doses of FOLFIRINOX, whereas no signal increase was observed in FOLFIRINOX-resistant tumors. This study indicates the promise of allysine-targeted molecular MRI as a noninvasive tool to predict chemotherapy outcomes. Significance: Allysine-targeted molecular MRI can quantify fibrogenesis in pancreatic tumors and predict response to chemotherapy, which could guide rapid clinical management decisions by differentiating responders from nonresponders after treatment initiation.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/0008-5472.CAN-23-3548
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2024
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
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