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  • American Association for Cancer Research (AACR)  (3)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 3386-3386
    Abstract: Introduction and Objective: Non-invasive urine and blood biomarkers are commercially available to assess the risk of clinically significant prostate cancer (csPCa) and the need for a biopsy. However, these tests are limited in their specificity resulting in a significant number of men still undergoing biopsy to avoid missing a csPCa. Exosomes and other extracellular vesicles (EVs) provide a platform for blood and urine biomarkers since they are released by all types of cells and preserve molecular constituents from their cells of origin within lipid membranes. The EPI urine test from Exosome Diagnostics (ExoDx) is currently the only commercially available EV based cancer diagnostic test; it uses three well established EV RNA markers to estimate the risk of csPCa. Studies by us and others have shown that an expanded urine EV PCa marker panel would improve disease stratification if these markers could be incorporated into a clinical grade assay. Our objective in this current study is to identify and characterize the EV RNA transcripts that are enriched by using antibodies for prostate specific membrane antigen (PSMA) to capture urinary EVs that originated from PCa cells. This is the first step in the development of a next generation urinary EV test with increased specificity for csPCa within a rigorous and reproducible assay format. Methods: Urine EVs from patients with csPCa and from healthy controls were prepared using the ExoDx clinical platform. These total EV samples were then compared with EVs enriched by immunocapture either with a PSMA specific antibody or with an isotype IgG control reagent. RNA was prepared from each of these three types of urinary EV samples and analyzed using RNAseq. Results: RNAseq analysis of urinary total EVs, PSMA-antibody captured EVs and isotype IgG control captured EVs showed excellent mapping to transcriptome regions. We detected over 600 genes differentially enriched by PSMA antibody vs. isotype IgG EV capture and identified 18 genes from a candidate list of prostate biomarkers that have been assembled based on previous studies. A principal component analysis of 196 differentially expressed transcripts obtained from EVs enriched by PSMA immunocapture vs IgG controls showed excellent discrimination between prostate cancer patients and healthy controls. By using a feature selection approach to optimize for discrimination between prostate cancer patients and healthy controls we identified a novel 6-gene signature that, when derived from a PSMA capture EV dataset, shows a superior AUC for the accuracy of cancer detection (greater than 0.95) than that obtained from applying the same 6-gene signature on total EVs or on isotype IgG controls. Conclusions: EV PSMA immuno-capture provides a robust approach to expanding the panel of PCa biomarkers that can be incorporated into clinical grade PCa urine EV assays, supporting the translation of pre-clinical discovery into clinical practice. Citation Format: Sandra M. Gaston, Douglas Roberts, Sudipto Chakrabortty, Emily Mitsock, Kailey Babcock, Rikky Xing, Benjamin Spieler, Radka Stoyanova, Mark L. Gonzalgo, Chad Ryan Ritch, Bruno Nahar, Alan Pollack, Dipen J. Parekh, Seth Yu, Johan Skog, Sanoj Punnen. Development of next generation extracellular vesicle based urine tests for prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3386.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 21_Supplement ( 2020-11-01), p. PO-004-PO-004
    Abstract: Background: Prostate cancer (PrCa) heterogeneity is a well-recognized challenge for the development of molecular biomarker tests for clinical applications. Prostate biopsy is a critical point for diagnosis and treatment planning; biopsy procedures typically produce 12-16 cores and multiple cancer-positive cores are common. For the commercial prognostic gene expression tests, current recommendations are to test only the highest grade core with the highest % tumor involvement. More recently, gene expression tests that classify PrCa according to luminal and basal subtypes have been proposed as predictors of response to specific therapeutic interventions. In PrCa, Luminal B (LumB) appears to be the most aggressive subtype and most sensitive to ADT while the Basal subtype includes a subset of PrCa’s that are relatively insensitive to ADT therapy (PMID: 28494073, 31515456). Clinical trials are underway to assess whether molecular stratification by luminal and basal signatures will identify subsets of PrCa patients who will derive the greatest benefit from ADT. In this pilot study, we compare the results of testing all biopsy cores with sufficient tumor vs testing only the highest grade/% core in the detection of PrCa luminal and basal subtypes. Study design: Gene expression profiles were obtained from 238 cancer-positive biopsy cores from 83 treatment-naïve PrCa patients. Areas of cancer delineated by the pathologist were macrodissected from formalin-fixed paraffin embedded sections and the RNA analyzed using an established clinical grade microarray platform (PMID: 23826159). Luminal A (LumA), LumB and Basal gene expression signatures were obtained using the PAM50 gene expression classifier (PMID: 19204204). Results: Of the cancers in the 238 biopsy cores, 106 were classified as LumA, 81 as LumB and 51 as Basal by the PAM50 classifier. As expected, the LumB cores had a higher proportion of higher grade cancer (grade group 2+) than the LumA and Basal cores (59% vs 27% and 24%, respectively, P & lt; 0.01). Of the 55 patients with multiple cancer positive cores, 31 (56%) showed more than one luminal/basal subtype and 6 had at least one core of each of the three subtypes. Overall, at least one core tested positive for the LumA, LumB and Basal signatures in biopsies from 47, 37 and 34 patients, respectively. If only the core with the highest grade/% core had been tested, 12 patients would have had undetected LumA, 4 undetected LumB and 14 undetected Basal cancer foci, potentially confounding clinical trials seeking to develop biomarker guided interventions. Conclusion: PrCa heterogeneity may require that the current practice of testing only the biopsy core with the highest grade/% cancer be expanded for luminal/basal subtyping. Citation Format: Sandra M. Gaston, Sanoj Punnen, Elai Davicioni, Seagle Liu, Oleksandr N. Kryvenko, Benjamin O. Spieler, Alan Pollack, Radka Stoyanova. Intra-individual heterogeneity of prostate cancer gene expression signatures of luminal and basal subtypes: Implications for selection of biopsy cores for genomic testing [abstract] . In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-004.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3492-3492
    Abstract: Introduction: There is an unmet need for liquid biopsy tests to support the management of patients with intermediate and high-risk prostate cancer (PCa). In treatment naïve patients, risk stratification by standard pathology and tissue based genomic testing can be influenced by sampling errors inherent to PCa biopsy. Exosome-based liquid biopsies are emerging as a clinically effective platform for minimally invasive and highly sensitive diagnostics for diverse types of cancer. In this project we undertake the development of a plasma exosome-based liquid biopsy to stratify patients with clinically significant PCa that may circumvent the sampling challenges associated with tissue-based genomic tests. Exosomes are small double-lipid membrane vesicles that cells actively shed into various biofluids and that provide stable packages for RNA, DNA and protein molecules. Here we take advantage of a well-developed exosomal biomarker analysis platform to profile plasma exosomal RNA markers that differentiate treatment-naïve men diagnosed with NCCN low risk vs high risk PCa as the first step in the development of a plasma exosomal liquid biopsy to support the management of patients with intermediate and high-risk disease. Methods: We compared plasma exosomal RNA profiles from 11 high-risk and 9 low-risk, treatment-naïve, biopsy-confirmed patients together with 4 healthy controls. Exosomes were isolated from 1 ml plasma samples and exosomal RNA prepared using the ExosomeDx ExoLution platform. A hybrid-capture RNA Next Generation Sequencing analysis was performed to enrich for transcripts of exons, 3’ and 5’ untranslated RNA and long non-coding RNA (lncRNA) to identify differentially expressed RNAs. Results: We detected over 10,000 protein coding genes and ~400 lncRNAs in each plasma sample using exosomal RNAseq. 273 genes were differentially expressed between high-risk vs control but not in low-risk vs control. We identified four potential plasma exosomal biomarkers of high-risk PCa. These include three protein coding mRNA transcripts that showed greater than 20-fold lower expression in plasma from high-risk in comparison to low-risk patients; TCGA data show that two of these mRNA markers are also downregulated in PCa tissue in patients with worse survival. In addition, we identified one lncRNA that showed greater than 20-fold higher expression in plasma from high-risk in comparison to low-risk patients. We also detected multiple alternate androgen receptor transcripts in plasma exosomal RNA from the high-risk patients. Together, these represent early data for potentially novel liquid biopsy RNA biomarkers for high-risk PCa. Conclusions: Here we report results of a liquid biopsy biomarker discovery study to develop an exosome-based long RNA test for to support the management of patients with intermediate and high-risk PCa. Plasma exosomal RNA provides a rich reservoir of currently untapped biomarkers for high-risk PCa. Citation Format: Sandra M. Gaston, Johan K. Skog, Benjamin Spieler, Alan Dal Pra, Radka Stoyanova, Christian Fischer, Yevgenia Khodor, Grannum Sant, Seth Yu, Vasisht Tadigotla, Sudipto K. Chakrabortty, Sanoj Punnen, Alan Pollack. Exosome-based plasma RNA biomarkers for high-risk prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3492.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Library Location Call Number Volume/Issue/Year Availability
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