NCT06564428

Brief Summary

The aim of this project is to establish a bidirectional multicenter cohort of hereditary ovarian cancer and to describe the clinicopathologic features of hereditary ovarian cancer patients in our country. The risk prediction model of ovarian cancer for Chinese was established by following-up analysis of clinical and pathological information, genetic test results and detailed family history, to predict the risk of cancer in first-degree relatives of carriers of pathogenic/suspected pathogenic mutations, and to guide the intervention management of high-risk population of cancer. The study will identify novel tumor-causing mutations/predisposing genes by gene sequencing in a special family with hereditary tumor.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Jan 2024

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress80%
Jan 2024Dec 2026

Study Start

First participant enrolled

January 1, 2024

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

August 19, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 21, 2024

Completed
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

June 18, 2025

Status Verified

May 1, 2025

Enrollment Period

3 years

First QC Date

August 19, 2024

Last Update Submit

June 17, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • The clinicopathological features and gene mutation characteristics of hereditary ovarian cancer

    * personal history (age, BMI, oral contraceptive use, hormone replacement therapy use, tubal ligation) * menstrual marriage and childbearing history (whether or not menopause, menopausal age, menarche age, the number of births) * personal history of tumor (history of malignant tumor, tumor type, pathological type, tumor stage, age of onset) ④family history of cancer (family history of cancer or not, number/person of cancer in first/second/third degree relatives, relationship with patients, tumor type, pathological type, tumor stage, age of onset, gene detection) ⑤results of gene detection (detection items, specimen type, mutation, mutated gene, cDNA change, amino acid change, mutation type, mutation significance)

    2024-2026

Secondary Outcomes (1)

  • Newly diagnosed ovarian cancer in a first-degree relative

    2024-2026

Study Arms (2)

Mutation carriers

Patients presented to our hospital with a definite pathological diagnosis of epithelial ovarian cancer, who carry suspective gene mutations or have family history of cancer.

Genetic: Suspective gene mutations and family history

Control group

Patients presented to our hospital with a definite pathological diagnosis of epithelial ovarian cancer, who don't carry any suspective gene mutations and have no family history of any type of cancer.

Interventions

To observe if the patients with suspective gene mutations or family history take higher risk of suffering from ovarian cancer.

Mutation carriers

Eligibility Criteria

Age18 Years+
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Chinese female population of different regions and different ages.

You may qualify if:

  • Epithelial ovarian cancer
  • ≥18 years
  • The pathological diagnosis was clear
  • The genetic test showed germ line pathogenic/suspected pathogenic mutations (for mutation interpretation, refer to the American ACMG Classification Standards and Guidelines for Genetic Variation)

You may not qualify if:

  • Non-epithelial ovarian cancer was confirmed by pathology
  • No genetic test has been performed

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Peking University Third Hospital

Beijing, Beijing Municipality, 100000, China

RECRUITING

Related Publications (19)

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    PMID: 30910306BACKGROUND
  • Nielsen FC, van Overeem Hansen T, Sorensen CS. Hereditary breast and ovarian cancer: new genes in confined pathways. Nat Rev Cancer. 2016 Sep;16(9):599-612. doi: 10.1038/nrc.2016.72. Epub 2016 Aug 12.

    PMID: 27515922BACKGROUND
  • Yoshida R. Hereditary breast and ovarian cancer (HBOC): review of its molecular characteristics, screening, treatment, and prognosis. Breast Cancer. 2021 Nov;28(6):1167-1180. doi: 10.1007/s12282-020-01148-2. Epub 2020 Aug 29.

    PMID: 32862296BACKGROUND
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    PMID: 25673086BACKGROUND
  • US Preventive Services Task Force; Owens DK, Davidson KW, Krist AH, Barry MJ, Cabana M, Caughey AB, Doubeni CA, Epling JW Jr, Kubik M, Landefeld CS, Mangione CM, Pbert L, Silverstein M, Simon MA, Tseng CW, Wong JB. Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: US Preventive Services Task Force Recommendation Statement. JAMA. 2019 Aug 20;322(7):652-665. doi: 10.1001/jama.2019.10987.

    PMID: 31429903BACKGROUND
  • Gilpin CA, Carson N, Hunter AG. A preliminary validation of a family history assessment form to select women at risk for breast or ovarian cancer for referral to a genetics center. Clin Genet. 2000 Oct;58(4):299-308. doi: 10.1034/j.1399-0004.2000.580408.x.

    PMID: 11076055BACKGROUND
  • Evans DG, Eccles DM, Rahman N, Young K, Bulman M, Amir E, Shenton A, Howell A, Lalloo F. A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO. J Med Genet. 2004 Jun;41(6):474-80. doi: 10.1136/jmg.2003.017996.

    PMID: 15173236BACKGROUND
  • Bellcross CA, Lemke AA, Pape LS, Tess AL, Meisner LT. Evaluation of a breast/ovarian cancer genetics referral screening tool in a mammography population. Genet Med. 2009 Nov;11(11):783-9. doi: 10.1097/GIM.0b013e3181b9b04a.

    PMID: 19752737BACKGROUND
  • Hoskins KF, Zwaagstra A, Ranz M. Validation of a tool for identifying women at high risk for hereditary breast cancer in population-based screening. Cancer. 2006 Oct 15;107(8):1769-76. doi: 10.1002/cncr.22202.

    PMID: 16967460BACKGROUND
  • Ashton-Prolla P, Giacomazzi J, Schmidt AV, Roth FL, Palmero EI, Kalakun L, Aguiar ES, Moreira SM, Batassini E, Belo-Reyes V, Schuler-Faccini L, Giugliani R, Caleffi M, Camey SA. Development and validation of a simple questionnaire for the identification of hereditary breast cancer in primary care. BMC Cancer. 2009 Aug 14;9:283. doi: 10.1186/1471-2407-9-283.

    PMID: 19682358BACKGROUND
  • Berliner JL, Cummings SA, Boldt Burnett B, Ricker CN. Risk assessment and genetic counseling for hereditary breast and ovarian cancer syndromes-Practice resource of the National Society of Genetic Counselors. J Genet Couns. 2021 Apr;30(2):342-360. doi: 10.1002/jgc4.1374. Epub 2021 Jan 7.

    PMID: 33410258BACKGROUND
  • Berry DA, Parmigiani G, Sanchez J, Schildkraut J, Winer E. Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history. J Natl Cancer Inst. 1997 Feb 5;89(3):227-38. doi: 10.1093/jnci/89.3.227.

    PMID: 9017003BACKGROUND
  • Parmigiani G, Berry D, Aguilar O. Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2. Am J Hum Genet. 1998 Jan;62(1):145-58. doi: 10.1086/301670.

    PMID: 9443863BACKGROUND
  • Berry DA, Iversen ES Jr, Gudbjartsson DF, Hiller EH, Garber JE, Peshkin BN, Lerman C, Watson P, Lynch HT, Hilsenbeck SG, Rubinstein WS, Hughes KS, Parmigiani G. BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes. J Clin Oncol. 2002 Jun 1;20(11):2701-12. doi: 10.1200/JCO.2002.05.121.

    PMID: 12039933BACKGROUND
  • Antoniou AC, Pharoah PD, McMullan G, Day NE, Stratton MR, Peto J, Ponder BJ, Easton DF. A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes. Br J Cancer. 2002 Jan 7;86(1):76-83. doi: 10.1038/sj.bjc.6600008.

    PMID: 11857015BACKGROUND
  • Antoniou AC, Pharoah PP, Smith P, Easton DF. The BOADICEA model of genetic susceptibility to breast and ovarian cancer. Br J Cancer. 2004 Oct 18;91(8):1580-90. doi: 10.1038/sj.bjc.6602175.

    PMID: 15381934BACKGROUND
  • Lee A, Mavaddat N, Cunningham A, Carver T, Ficorella L, Archer S, Walter FM, Tischkowitz M, Roberts J, Usher-Smith J, Simard J, Schmidt MK, Devilee P, Zadnik V, Jurgens H, Mouret-Fourme E, De Pauw A, Rookus M, Mooij TM, Pharoah PP, Easton DF, Antoniou AC. Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence. J Med Genet. 2022 Dec;59(12):1206-1218. doi: 10.1136/jmedgenet-2022-108471. Epub 2022 Sep 26.

    PMID: 36162851BACKGROUND
  • Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmana J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S; GEMO Study Collaborators; GC-HBOC Study Collaborators; EMBRACE Collaborators; Cook LS, Couch FJ, Daly MB, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding YC, Doherty JA, Domchek SM, Dork T, du Bois A, Durst M, Eccles DM, Eliassen HA, Engel C, Evans GD, Fasching PA, Flanagan JM, Fortner RT, Machackova E, Friedman E, Ganz PA, Garber J, Gensini F, Giles GG, Glendon G, Godwin AK, Goodman MT, Greene MH, Gronwald J; OPAL Study Group; AOCS Group; Hahnen E, Haiman CA, Hakansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Hogdall E, Hogdall CK, Hopper JL, Huang RY, Huff C, Hulick PJ, Huntsman DG, Imyanitov EN; KConFab Investigators; HEBON Investigators; Isaacs C, Jakubowska A, James PA, Janavicius R, Jensen A, Johannsson OT, John EM, Jones ME, Kang D, Karlan BY, Karnezis A, Kelemen LE, Khusnutdinova E, Kiemeney LA, Kim BG, Kjaer SK, Komenaka I, Kupryjanczyk J, Kurian AW, Kwong A, Lambrechts D, Larson MC, Lazaro C, Le ND, Leslie G, Lester J, Lesueur F, Levine DA, Li L, Li J, Loud JT, Lu KH, Lubinski J, Mai PL, Manoukian S, Marks JR, Matsuno RK, Matsuo K, May T, McGuffog L, McLaughlin JR, McNeish IA, Mebirouk N, Menon U, Miller A, Milne RL, Minlikeeva A, Modugno F, Montagna M, Moysich KB, Munro E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nielsen HR, Nielsen FC, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade OI, Olson SH, Olsson H, Osorio A, Papi L, Park SK, Parsons MT, Pathak H, Pedersen IS, Peixoto A, Pejovic T, Perez-Segura P, Permuth JB, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan MJ, Risch HA, Rodriguez-Antona C, Ross E, Rossing MA, Runnebaum I, Sandler DP, Santamarina M, Soucy P, Schmutzler RK, Setiawan VW, Shan K, Sieh W, Simard J, Singer CF, Sokolenko AP, Song H, Southey MC, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow AJ, Tan YY, Teixeira MR, Teo SH, Terry KL, Terry MB; OCAC Consortium; CIMBA Consortium; Thomassen M, Thompson PJ, Thomsen LCV, Thull DL, Tischkowitz M, Titus L, Toland AE, Torres D, Trabert B, Travis R, Tung N, Tworoger SS, Valen E, van Altena AM, van der Hout AH, Van Nieuwenhuysen E, van Rensburg EJ, Vega A, Edwards DV, Vierkant RA, Wang F, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, White E, Whittemore AS, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zavaglia KM, Zheng W, Ziogas A, Zorn KK, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers TA, Ramus SJ, Pearce CL, Monteiro AN, Cunningham J, Goode EL, Schildkraut JM, Berchuck A, Chenevix-Trench G, Gayther SA, Antoniou AC, Pharoah PDP. Polygenic risk modeling for prediction of epithelial ovarian cancer risk. Eur J Hum Genet. 2022 Mar;30(3):349-362. doi: 10.1038/s41431-021-00987-7. Epub 2022 Jan 14.

    PMID: 35027648BACKGROUND
  • Daly MB, Pilarski R, Yurgelun MB, Berry MP, Buys SS, Dickson P, Domchek SM, Elkhanany A, Friedman S, Garber JE, Goggins M, Hutton ML, Khan S, Klein C, Kohlmann W, Kurian AW, Laronga C, Litton JK, Mak JS, Menendez CS, Merajver SD, Norquist BS, Offit K, Pal T, Pederson HJ, Reiser G, Shannon KM, Visvanathan K, Weitzel JN, Wick MJ, Wisinski KB, Dwyer MA, Darlow SD. NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 1.2020. J Natl Compr Canc Netw. 2020 Apr;18(4):380-391. doi: 10.6004/jnccn.2020.0017.

    PMID: 32259785BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

blood sample for genetic testing

MeSH Terms

Conditions

Ovarian Neoplasms

Condition Hierarchy (Ancestors)

Endocrine Gland NeoplasmsNeoplasms by SiteNeoplasmsOvarian DiseasesAdnexal DiseasesGenital Diseases, FemaleFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesGenital Neoplasms, FemaleUrogenital NeoplasmsGenital DiseasesEndocrine System DiseasesGonadal Disorders

Study Officials

  • Hongyan Guo, Doctor

    Peking University Third Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Yuan Li, Doctor

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 19, 2024

First Posted

August 21, 2024

Study Start

January 1, 2024

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

June 18, 2025

Record last verified: 2025-05

Locations