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| ID | Type | Description | Link |
|---|---|---|---|
| 5U01CA152990 | U.S. NIH Grant/Contract | View source | |
| U2CCA271871 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Johns Hopkins University | OTHER |
| Fred Hutchinson Cancer Center | OTHER |
| Anne Arundel Health System Research Institute | OTHER |
| University of Arkansas |
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The study aims to develop a test for early detection of ovarian cancer using DNA from a growth involving the ovary found in a washing of the uterus (womb), and proteins found in the blood. The samples of the wash and the blood will be taken before surgery. After surgery, doctors will determine whether the participant had ovarian cancer or a benign disease of the ovaries. The tests of the washings and the blood will be examined to see how much the participants with ovarian cancer can be separated from the participants with a benign ovarian disease by the tests. Small amounts from the washing and the blood samples will be sent to four sites for analysis.
Statistical analyses of these data will compare tumor DNA found in the washing of the uterus with proteins in the blood to detect cases of ovarian cancer. The primary goal is to find tests that are mostly positive for cases of ovarian cancer and mostly negative for patients with benign disease. It is hoped that if the tests work for participants with symptoms of the disease that these tests will also work when testing women who have no symptoms. A new study would be needed to see if the tests worked in this situation. If the tests work, this could lead to increasing the number of cases detected in early stage disease and decreasing the number of cases detected in late stage disease. If this change in late stage is large, it will likely reduce deaths due to ovarian cancer.
The study aims to elucidate the relative contributions to detection of ovarian cancer from tumor DNA in uterine lavage (UL) and protein biomarkers from blood using newly available detection and sample collection technologies. In this document, the term "ovarian cancer" includes fallopian tube cancer. In the first cohort, the study will enroll 200 participants. Enrolling participants prior to surgical diagnosis (e.g. laparoscopy or paracentesis) ensures the study will be "Prospective Collection of Samples, Blinded Evaluation" (PRoBE) compliant. The expectation is that ~50 of these participants will have pathologically confirmed ovarian cancer. In a second cohort, 50 participants will be enrolled. Based on published reports, it is expected that ~5 participants will have microscopic or low volume ovarian cancer. In each cohort, the participants with a pathologic invasive epithelial ovarian cancer diagnosis will be defined as Cases and participants without any ovarian cancer, primary peritoneal cancer (PPC), or other cancer identified due to the surgery, will be defined as Controls. Other cancer groups are: (i) PPC, (ii) non-invasive serous tubal intraepithelial carcinoma (STIC) lesions, (iii) non-epithelial ovarian cancers, and (iv) non-ovarian cancers.
Two sites will sequence DNA obtained from uterine lavages to detect tumor-derived DNA (tDNA): one will carry out Duplex Sequencing of TP53 and the second site will carry out Haloplex sequencing of an 18-gene panel. Two other sites will assay serum proteins: the first will use clinical grade assays for CA125 and HE4, and the second will use research grade assays for these two proteins plus four additional protein biomarker candidates. Statistical analyses of these data will evaluate the relative utility of tDNA and plasma proteins to detect Cases (sensitivity) while limiting detection of Controls (specificity) in these two cohorts. Remaining DNA from UL and blood based biospecimens in form of plasma, serum, and buffy coat will be stored at a biorepository at NCI Frederick for future biomarker investigations which include (but are not limited to) other methods of detecting tDNA from UL, tDNA from plasma, exosomal markers, and additional blood-based and UL biomarker candidates.
Primary objectives:
Outline: Participants undergo two blood draws (one required, one optional) up to 31 days before surgery and a uterine lavage at the time of planned surgery. The tDNA and serum proteins are then extracted from the samples and sent for analysis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pelvic Mass Cohort (cohort #1) | 200 participants scheduled for surgery for suspected ovarian cancer due to a pelvic mass but without a confirmed tissue or cytology diagnosis. |
| |
| BRCA1/2 Carriers Cohort (cohort #2) | 50 participants with an inherited BRCA1 or BRCA2 deleterious mutation without suspected ovarian cancers who are scheduled for risk-reducing salpingo-oophorectomy (RRSO) to remove ovaries and fallopian tubes. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Uterine lavage, or a wash of the womb | Diagnostic Test | Uterine lavage is performed during surgery using a flexible, 3-way balloon tipped catheter. The catheter is inserted through the cervix, the balloon expanded and the uterine cavity lavaged using 10 cc of sterile saline which is collected, processed and stored for later analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| Genomic biomarkers assessing mutations and methylation of tumor DNA, and protein biomarkers measured as the concentration of a protein in pg/mL, both types of biomarkers measured in the collected biospecimens. | Biomarkers that distinguish between ovarian cancer and benign ovarian disease | From enrollment through to pathology results post-surgery (usually same day) |
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Inclusion Criteria:
Exclusion Criteria:
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Cohorts will be selected from patients scheduled for ovarian disorder-related surgeries across six sites: Massachusetts General Hospital in Boston, Massachusetts; Luminis Health System in Annapolis, Maryland; Johns Hopkins University School of Medicine in Baltimore, Maryland; Kaiser Permanente - San Francisco in San Francisco, California; the Swedish Medical Center in Seattle, Washington; and the University of Arkansas for Medical Sciences in Little Rock, Arkansas.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jackie Dahlgren | Contact | 206 667 3438 | jdahlgre@fredhutch.org |
| Name | Affiliation | Role |
|---|---|---|
| Christos Patriotis, PhD | National Cancer Institute (NCI) | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Arkansas for Medical Sciences | Recruiting | Little Rock | Arkansas | 72205 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26742998 | Background | Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30. doi: 10.3322/caac.21332. Epub 2016 Jan 7. | |
| 26707054 | Background | Jacobs IJ, Menon U, Ryan A, Gentry-Maharaj A, Burnell M, Kalsi JK, Amso NN, Apostolidou S, Benjamin E, Cruickshank D, Crump DN, Davies SK, Dawnay A, Dobbs S, Fletcher G, Ford J, Godfrey K, Gunu R, Habib M, Hallett R, Herod J, Jenkins H, Karpinskyj C, Leeson S, Lewis SJ, Liston WR, Lopes A, Mould T, Murdoch J, Oram D, Rabideau DJ, Reynolds K, Scott I, Seif MW, Sharma A, Singh N, Taylor J, Warburton F, Widschwendter M, Williamson K, Woolas R, Fallowfield L, McGuire AJ, Campbell S, Parmar M, Skates SJ. Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial. Lancet. 2016 Mar 5;387(10022):945-956. doi: 10.1016/S0140-6736(15)01224-6. Epub 2015 Dec 17. |
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Individual participant data is not anticipated to be shared.
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| OTHER |
| National Cancer Institute (NCI) | NIH |
| Kaiser Permanente | OTHER |
| McGill University | OTHER |
| M.D. Anderson Cancer Center | OTHER |
| Swedish Medical Center | OTHER |
| Early Detection Research Network | NETWORK |
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| Blood sample | Diagnostic Test | Participants undergo two blood draws (one required, one optional) up to 31 days before surgery |
|
| Pap smear | Diagnostic Test | Participants undergo a standard Papanicolaou smear to collect cells and fluid from the cervix. |
|
| Kaiser Permanente - San Francisco | Active, not recruiting | San Francisco | California | 94115 | United States |
| Anne Arundel Health System | Recruiting | Annapolis | Maryland | 21401 | United States |
|
| Johns Hopkins University School of Medicine | Recruiting | Baltimore | Maryland | 21218 | United States |
|
| Massachusetts General Hospital | Recruiting | Boston | Massachusetts | 02114 | United States |
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| The Swedish Hospital | Recruiting | Seattle | Washington | 98122 | United States |
|
| 22543916 | Background | Skates SJ. Ovarian cancer screening: development of the risk of ovarian cancer algorithm (ROCA) and ROCA screening trials. Int J Gynecol Cancer. 2012 May;22 Suppl 1(Suppl 1):S24-6. doi: 10.1097/IGC.0b013e318256488a. |
| 28143870 | Background | Skates SJ, Greene MH, Buys SS, Mai PL, Brown P, Piedmonte M, Rodriguez G, Schorge JO, Sherman M, Daly MB, Rutherford T, Brewster WR, O'Malley DM, Partridge E, Boggess J, Drescher CW, Isaacs C, Berchuck A, Domchek S, Davidson SA, Edwards R, Elg SA, Wakeley K, Phillips KA, Armstrong D, Horowitz I, Fabian CJ, Walker J, Sluss PM, Welch W, Minasian L, Horick NK, Kasten CH, Nayfield S, Alberts D, Finkelstein DM, Lu KH. Early Detection of Ovarian Cancer using the Risk of Ovarian Cancer Algorithm with Frequent CA125 Testing in Women at Increased Familial Risk - Combined Results from Two Screening Trials. Clin Cancer Res. 2017 Jul 15;23(14):3628-3637. doi: 10.1158/1078-0432.CCR-15-2750. Epub 2017 Jan 31. |
| 28240969 | Background | Rosenthal AN, Fraser LSM, Philpott S, Manchanda R, Burnell M, Badman P, Hadwin R, Rizzuto I, Benjamin E, Singh N, Evans DG, Eccles DM, Ryan A, Liston R, Dawnay A, Ford J, Gunu R, Mackay J, Skates SJ, Menon U, Jacobs IJ; United Kingdom Familial Ovarian Cancer Screening Study collaborators. Evidence of Stage Shift in Women Diagnosed With Ovarian Cancer During Phase II of the United Kingdom Familial Ovarian Cancer Screening Study. J Clin Oncol. 2017 May 1;35(13):1411-1420. doi: 10.1200/JCO.2016.69.9330. Epub 2017 Feb 27. |
| 26552420 | Background | Maritschnegg E, Wang Y, Pecha N, Horvat R, Van Nieuwenhuysen E, Vergote I, Heitz F, Sehouli J, Kinde I, Diaz LA Jr, Papadopoulos N, Kinzler KW, Vogelstein B, Speiser P, Zeillinger R. Lavage of the Uterine Cavity for Molecular Detection of Mullerian Duct Carcinomas: A Proof-of-Concept Study. J Clin Oncol. 2015 Dec 20;33(36):4293-300. doi: 10.1200/JCO.2015.61.3083. Epub 2015 Nov 9. |
| 27152024 | Background | Krimmel JD, Schmitt MW, Harrell MI, Agnew KJ, Kennedy SR, Emond MJ, Loeb LA, Swisher EM, Risques RA. Ultra-deep sequencing detects ovarian cancer cells in peritoneal fluid and reveals somatic TP53 mutations in noncancerous tissues. Proc Natl Acad Sci U S A. 2016 May 24;113(21):6005-10. doi: 10.1073/pnas.1601311113. Epub 2016 May 5. |
| 29300727 | Background | Risques RA, Kennedy SR. Aging and the rise of somatic cancer-associated mutations in normal tissues. PLoS Genet. 2018 Jan 4;14(1):e1007108. doi: 10.1371/journal.pgen.1007108. eCollection 2018 Jan. |
| 22257524 | Background | Gilbert L, Basso O, Sampalis J, Karp I, Martins C, Feng J, Piedimonte S, Quintal L, Ramanakumar AV, Takefman J, Grigorie MS, Artho G, Krishnamurthy S; DOvE Study Group. Assessment of symptomatic women for early diagnosis of ovarian cancer: results from the prospective DOvE pilot project. Lancet Oncol. 2012 Mar;13(3):285-91. doi: 10.1016/S1470-2045(11)70333-3. Epub 2012 Jan 17. |
| 21720365 | Background | Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature. 2011 Jun 29;474(7353):609-15. doi: 10.1038/nature10166. |
| 23303603 | Background | Kinde I, Bettegowda C, Wang Y, Wu J, Agrawal N, Shih IeM, Kurman R, Dao F, Levine DA, Giuntoli R, Roden R, Eshleman JR, Carvalho JP, Marie SK, Papadopoulos N, Kinzler KW, Vogelstein B, Diaz LA Jr. Evaluation of DNA from the Papanicolaou test to detect ovarian and endometrial cancers. Sci Transl Med. 2013 Jan 9;5(167):167ra4. doi: 10.1126/scitranslmed.3004952. |
| Background | Pepe MS "The Statistical Evaluation of Medical Tests for Classification and Prediction". Oxford University Press (2003) |
| 28872014 | Background | Gilbert L, Revil T, Meunier C, Jardon K, Zeng X, Martins C, Arseneau J, Fu L, North K, Schiavi A, Ehrensperger E, Artho G, Lee T, Morris D, Ragoussis J. The empress of subterfuge: cancer of the fallopian tube presenting with malapropism. Lancet. 2017 Sep 2;390(10098):1003-1004. doi: 10.1016/S0140-6736(17)31586-6. No abstract available. |
| 38176019 | Derived | Greenwood A, Woodruff ER, Nguyen C, Piper C, Clauset A, Brubaker LW, Behbakht K, Bitler BG. Early Ovarian Cancer Detection in the Age of Fallopian Tube Precursors: A Systematic Review. Obstet Gynecol. 2024 Mar 1;143(3):e63-e77. doi: 10.1097/AOG.0000000000005496. Epub 2024 Jan 4. |
| ID | Term |
|---|---|
| D010051 | Ovarian Neoplasms |
| D000077216 | Carcinoma, Ovarian Epithelial |
| D005185 | Fallopian Tube Neoplasms |
| D009369 | Neoplasms |
| D010049 | Ovarian Diseases |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D000291 | Adnexal Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D000091662 | Genital Diseases |
| D004700 | Endocrine System Diseases |
| D006058 | Gonadal Disorders |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D005184 | Fallopian Tube Diseases |
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| ID | Term |
|---|---|
| D001800 | Blood Specimen Collection |
| D065006 | Papanicolaou Test |
| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |
| D001706 | Biopsy |
| D003581 | Cytodiagnosis |
| D003584 | Cytological Techniques |
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