Principal Investigator

Andrew K.
Godwin
Awardee Organization

University Of Kansas Medical Center
United States

Fiscal Year
2023
Activity Code
R01
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem

Ovarian cancer is a silent killer that strikes with few, if any, symptoms. By the time a woman knows she has it, the cancer is often advanced and the outlook grim. However, if epithelial ovarian cancer is caught early the prognosis for the patient is excellent. Developing non-invasive and highly specific blood-based tests for presymptomatic screening and early detection of ovarian cancer is therefore crucial. This is especially essential since obtaining a biopsy is difficult, costly, and sometimes not even an option. In addition, most blood biomarkers to date lack the necessary sensitivity and specificity for early detection of this silent killer. A fundamental challenge is the extremely low concentrations of circulating biomolecules released from the developing tumors at pre-clinical stages which can be 10,000-fold lower than their clinically detectable levels. Therefore, there is a pressing need to uncover novel biomarkers, apply new strategies, and develop robust technologies to propel the advancement of cancer diagnostics, especially in a disease such as ovarian cancer. We have focused our efforts on small extracellular vesicles (sEVs), primarily small and large exosomes derived from the endolysosomal pathway, which play important roles in cellular communication, immune response, and cancer progression via transfer of a selective repertoire of biomolecules. sEVs/exosome release is significantly increased in most neoplastic cells, including ovarian cancer and occurs continuously at all stages of tumor development. Tumorderived sEVs accumulate in human blood and malignant effusions. These vesicles carry enriched subsets of biomolecules mirroring the tumor cells of origin, such as signaling proteins, tumor antigens, and functional RNAs (mRNA and miRNAs), which offer a new strategy to surmount the challenge in reliable detection of intrinsically low-level serum markers during early malignant transformation. Thus, the constitutive release and enrichment of certain tumor markers within sEVs present distinctive opportunities for early cancer diagnosis. We hypothesize that circulating sEVs, much akin to circulating tumor cells but more robust due to their active release and incredible stability in bodily fluids, represent a greater source for the discovery of exo-biomarkers for early detection, potentially while still confined to the fallopian tube. In addition, sEVs can serve as a 'liquid biopsy’ to assess benefits and treatment responses in real time in cancer patients. Our innovative application merges EV biology with nano-material/microfluidic technology to develop an advanced microfluidic platform to capture and detect ovarian cancer-derived sEVs with high specificity and sensitivity from the circulation. This approach will integrate validated fallopian tube and ovarian cancer associated exo-protein biomarkers (SA1), which will be applied to a second-generation nano-engineered EV analysis chip (SA2). These studies will be followed by clinical validation using longitudinal samples collected from asymptomatic women who later develop epithelial ovarian cancer (SA3). Our ultimate goal is to develop a reliable blood-based assay that, when used in conjunction with current screening approaches will decrease the mortality from ovarian cancer.

Publications

  • Zheng L, Hart N, Zeng Y. Micro-/nanoscale robotics for chemical and biological sensing. Lab on a chip. 2023 Aug 22;23(17):3741-3767. PMID: 37496448
  • Trinidad C, Pathak H, Cheng S, Tzeng SC, Madan R, Sardiu M, Bantis L, Deighan C, Jewell A, Zeng Y, Godwin A. Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer. Research square. 2023 May 3. PMID: 37205573
  • He N, Thippabhotla S, Zhong C, Greenberg Z, Xu L, Pessetto Z, Godwin AK, Zeng Y, He M. Nano pom-poms prepared exosomes enable highly specific cancer biomarker detection. Communications biology. 2022 Jul 4;5(1):660. PMID: 35787656
  • Mahoney DE, Chalise P, Rahman F, Pierce JD. Influences of Gastrointestinal Microbiota Dysbiosis on Serum Proinflammatory Markers in Epithelial Ovarian Cancer Development and Progression. Cancers. 2022 Jun 20;14. (12). PMID: 35740687
  • O'Mahony DG, Ramus SJ, Southey MC, Meagher NS, Hadjisavvas A, John EM, Hamann U, Imyanitov EN, Andrulis IL, Sharma P, Daly MB, Hake CR, Weitzel JN, Jakubowska A, Godwin AK, Arason A, Bane A, Simard J, Soucy P, Caligo MA, Mai PL, Claes KBM, Teixeira MR, Chung WK, Lazaro C, Hulick PJ, Toland AE, Pedersen IS, HEBON Investigators, Neuhausen SL, Vega A, de la Hoya M, Nevanlinna H, Dhawan M, Zampiga V, Danesi R, Varesco L, Gismondi V, Vellone VG, James PA, Janavicius R, Nikitina-Zake L, Nielsen FC, van Overeem Hansen T, Pejovic T, Borg A, Rantala J, Offit K, Montagna M, Nathanson KL, Domchek SM, Osorio A, García MJ, Karlan BY, GEMO Study Collaborators, De Fazio A, Bowtell D, AOCS Group, McGuffog L, Leslie G, Parsons MT, Dörk T, Speith LM, Dos Santos ES, da Costa AABA, Radice P, Peterlongo P, Papi L, Engel C, Hahnen E, Schmutzler RK, Wappenschmidt B, Easton DF, Tischkowitz M, Singer CF, Tan YY, Whittemore AS, Sieh W, Brenton JD, Yannoukakos D, Fostira F, Konstantopoulou I, Soukupova J, Vocka M, CZECANCA Consortium, Chenevix-Trench G, Pharoah PDP, Antoniou AC, Goldgar DE, Spurdle AB, Michailidou K, Consortium of Investigators of Modifiers of BRCA1/2, Evidence-based Network for the Interpretation of Germline Mutant Alleles Consortium, Mourits MJE, Lesueur F, De Fazio A, de la Hoya M, van Overeem Hansen T, Dos Santos ES. Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2. British journal of cancer. 2023 Jun;128(12):2283-2294. Epub 2023 Apr 19. PMID: 37076566
  • Pierce JD, Shen Q, Mahoney DE, Rahman F, Krueger KJ, Diaz FJ, Clark L, Smith C, Vacek J, Hiebert JB. Effects of Ubiquinol and/or D-ribose in Patients With Heart Failure With Preserved Ejection Fraction. The American journal of cardiology. 2022 Aug 1;176:79-88. Epub 2022 May 27. PMID: 35644694
  • Mosier BR, Bantis LE. Estimation and construction of confidence intervals for biomarker cutoff-points under the shortest Euclidean distance from the ROC surface to the perfection corner. Statistics in medicine. 2021 Sep 10;40(20):4522-4539. Epub 2021 Jun 3. PMID: 34080733
  • Trinidad CV, Pathak HB, Cheng S, Tzeng SC, Madan R, Sardiu ME, Bantis LE, Deighan C, Jewell A, Rayamajhi S, Zeng Y, Godwin AK. Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer. Scientific reports. 2023 Oct 26;13(1):18341. PMID: 37884576
  • Yan H, Han S, Hughes S, Zeng Y. Extraction-free, one-pot CRISPR/Cas12a detection of microRNAs directly from extracellular vesicles. Chemical communications (Cambridge, England). 2023 Aug 17;59(67):10165-10168. PMID: 37531174
  • Yan H, Wen Y, Tian Z, Hart N, Han S, Hughes SJ, Zeng Y. A one-pot isothermal Cas12-based assay for the sensitive detection of microRNAs. Nature biomedical engineering. 2023 Dec;7(12):1583-1601. Epub 2023 Apr 27. PMID: 37106152
  • Bantis LE, Tsimikas JV. On optimal biomarker cutoffs accounting for misclassification costs in diagnostic trilemmas with applications to pancreatic cancer. Statistics in medicine. 2022 Aug 15;41(18):3527-3546. Epub 2022 May 11. PMID: 35543227
  • Mahoney DE, Pierce JD. Ovarian Cancer Symptom Clusters: Use of the NIH Symptom Science Model for Precision in Symptom Recognition and Management. Clinical journal of oncology nursing. 2022 Sep 15;26(5):533-542. PMID: 36108208
  • Zha D, Rayamajhi S, Sipes J, Russo A, Pathak HB, Li K, Sardiu ME, Bantis LE, Mitra A, Puri RV, Trinidad CV, Cain BP, Isenberg BC, Coppeta J, MacLaughlan S, Godwin AK, Burdette JE. Proteomic Profiling of Fallopian Tube-Derived Extracellular Vesicles Using a Microfluidic Tissue-on-Chip System. Bioengineering (Basel, Switzerland). 2023 Mar 27;10. (4). PMID: 37106610
  • Zhang P, Wu X, Gardashova G, Yang Y, Zhang Y, Xu L, Zeng Y. Molecular and functional extracellular vesicle analysis using nanopatterned microchips monitors tumor progression and metastasis. Science translational medicine. 2020 Jun 10;12. (547). PMID: 32522804
  • Bantis LE, Young KJ, Tsimikas JV, Mosier BR, Gajewski B, Yeatts S, Martin RL, Barsan W, Silbergleit R, Rockswold G, Korley FK. Statistical assessment of the prognostic and the predictive value of biomarkers-A biomarker assessment framework with applications to traumatic brain injury biomarker studies. Research methods in medicine & health sciences. 2023 Jan;4(1):34-48. Epub 2022 Dec 13. PMID: 37009524
  • Cheng S, Li Y, Yan H, Wen Y, Zhou X, Friedman L, Zeng Y. Advances in microfluidic extracellular vesicle analysis for cancer diagnostics. Lab on a chip. 2021 Sep 7;21(17):3219-3243. Epub 2021 Aug 5. PMID: 34352059
  • Brewer BC, Bantis LE. Cutoff estimation and construction of their confidence intervals for continuous biomarkers under ternary umbrella and tree stochastic ordering settings. Statistics in medicine. 2024 Feb 10;43(3):606-623. Epub 2023 Dec 1. PMID: 38038216
  • Barnes DR, Tyrer JP, Dennis J, Leslie G, Bolla MK, Lush M, Aeilts AM, Aittomäki K, Andrieu N, Andrulis IL, Anton-Culver H, Arason A, Arun BK, Balmaña J, Bandera EV, Barkardottir RB, Berger LPV, de Gonzalez AB, Berthet P, Białkowska K, Bjørge L, Blanco AM, Blok MJ, Bobolis KA, Bogdanova NV, Brenton JD, Butz H, Buys SS, Caligo MA, Campbell I, Castillo C, Claes KBM, GEMO Study Collaborators, EMBRACE Collaborators, Colonna SV, Cook LS, Daly MB, Dansonka-Mieszkowska A, de la Hoya M, deFazio A, DePersia A, Ding YC, Domchek SM, Dörk T, Einbeigi Z, Engel C, Evans DG, Foretova L, Fortner RT, Fostira F, Foti MC, Friedman E, Frone MN, Ganz PA, Gentry-Maharaj A, Glendon G, Godwin AK, González-Neira A, Greene MH, Gronwald J, Guerrieri-Gonzaga A, Hamann U, Hansen TVO, Harris HR, Hauke J, Heitz F, Hogervorst FBL, Hooning MJ, Hopper JL, Huff CD, Huntsman DG, Imyanitov EN, kConFab Investigators, Izatt L, Jakubowska A, James PA, Janavicius R, John EM, Kar S, Karlan BY, Kennedy CJ, Kiemeney LALM, Konstantopoulou I, Kupryjanczyk J, Laitman Y, Lavie O, Lawrenson K, Lester J, Lesueur F, Lopez-Pleguezuelos C, Mai PL, Manoukian S, May T, McNeish IA, Menon U, Milne RL, Modugno F, Mongiovi JM, Montagna M, Moysich KB, Neuhausen SL, Nielsen FC, Noguès C, Oláh E, Olopade OI, Osorio A, Papi L, Pathak H, Pearce CL, Pedersen IS, Peixoto A, Pejovic T, Peng PC, Peshkin BN, Peterlongo P, Powell CB, Prokofyeva D, Pujana MA, Radice P, Rashid MU, Rennert G, Richenberg G, Sandler DP, Sasamoto N, Setiawan VW, Sharma P, Sieh W, Singer CF, Snape K, Sokolenko AP, Soucy P, Southey MC, Stoppa-Lyonnet D, Sutphen R, Sutter C, Teixeira MR, Terry KL, Thomsen LCV, Tischkowitz M, Toland AE, Van Gorp T, Vega A, Velez Edwards DR, Webb PM, Weitzel JN, Wentzensen N, Whittemore AS, Winham SJ, Wu AH, Yadav S, Yu Y, Ziogas A, Berchuck A, Couch FJ, Goode EL, Goodman MT, Monteiro AN, Offit K, Ramus SJ, Risch HA, Schildkraut JM, Thomassen M, Simard J, Easton DF, Jones MR, Chenevix-Trench G, Gayther SA, Antoniou AC, Pharoah PDP. Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk. medRxiv : the preprint server for health sciences. 2024 Mar 4. PMID: 38496424
  • Chang HC, Gitau AM, Kothapalli S, Welch DR, Sardiu ME, McCoy MD. Understanding the need for digital twins' data in patient advocacy and forecasting oncology. Frontiers in artificial intelligence. 2023 Nov 10;6:1260361. doi: 10.3389/frai.2023.1260361. eCollection 2023. PMID: 38028666
  • Turaga SM, Sardiu ME, Vishwakarma V, Mitra A, Bantis LE, Madan R, Merchant ML, Klein JB, Samuel G, Godwin AK. Identification of small extracellular vesicle protein biomarkers for pediatric Ewing Sarcoma. Frontiers in molecular biosciences. 2023 Apr 13;10:1138594. doi: 10.3389/fmolb.2023.1138594. eCollection 2023. PMID: 37122563
  • Gopinath C, Crow H, Panthi S, Bantis L, Burman KD, Choudhary C. Characteristics, staging and outcomes of differentiated thyroid cancer in patients with and without Graves' disease. Journal of clinical & translational endocrinology. 2023 Jul 26;33:100321. doi: 10.1016/j.jcte.2023.100321. eCollection 2023 Sep. PMID: 37547825
  • Luu GT, Ge C, Tang Y, Li K, Cologna SM, Godwin AK, Burdette JE, Su J, Sanchez LM. An Integrated Approach to Protein Discovery and Detection From Complex Biofluids. Molecular & cellular proteomics : MCP. 2023 Jul;22(7):100590. Epub 2023 Jun 9. PMID: 37301378