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Ovarian cancer


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Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]Associate Editor(s)-in-Chief: Monalisa Dmello, M.B,B.S., M.D. [2], Huda A. Karman, M.D.

Synonyms and keywords: Carcinoma of the ovary, Epithelial ovarian cancer (EOC)

Overview

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D. Alberto Castro Molina, M.D.

Overview

Ovarian cancer is a malignant tumor arising from the ovary, fallopian tube, or peritoneum. In contemporary classification, epithelial ovarian carcinoma is considered together with fallopian tube and primary peritoneal carcinomas as a single disease entity because these tumors share similar molecular features, patterns of spread, and clinical behavior.[1][2] Epithelial malignancies account for roughly 90% of ovarian cancers, of which 70% to 80% are high-grade serous carcinomas; other major histologic types include endometrioid, clear cell, mucinous, and low-grade serous carcinomas, as well as borderline tumors.[1][3]

Globally, ovarian cancer is an important cause of cancer morbidity and mortality in women. GLOBOCAN 2022 estimates more than 320,000 new cases and over 200,000 deaths worldwide, corresponding to age-standardized incidence and mortality rates of approximately 6–7 and 4 per 100,000 women-years, respectively.[4][5] In the United States, ovarian cancer remains a leading cause of gynecologic cancer death, but both incidence and mortality have declined by roughly 3% per year since the mid-2000s, a trend attributed largely to increased use of oral contraceptives and uptake of risk-reducing salpingo-oophorectomy among women with high-risk genetic variants.[6][1]

The understanding of epithelial ovarian cancer pathogenesis has shifted from the traditional concept of an origin in the ovarian surface epithelium to a model in which many high-grade serous carcinomas arise from serous tubal intraepithelial carcinoma (STIC) in the fimbrial end of the fallopian tube, with subsequent implantation on the ovary and peritoneal surfaces.[7][2] Endometrioid and clear cell carcinomas are strongly associated with endometriosis, whereas some mucinous tumors may originate in the ovary or represent metastases from gastrointestinal primaries.[8] Approximately 50% of high-grade serous ovarian cancers are characterized by homologous recombination deficiency (HRD), including germline or somatic variants in BRCA1, BRCA2, and other DNA-repair genes, which has important implications for platinum sensitivity and benefit from poly (ADP-ribose) polymerase (PARP) inhibitors.[9][10]

Hereditary factors account for roughly one quarter of epithelial ovarian cancers, most commonly germline variants in BRCA1 and BRCA2, although pathogenic variants in other homologous recombination and mismatch repair genes also contribute.[11][12] Current guidelines recommend that all patients with epithelial ovarian, fallopian tube, or peritoneal carcinoma undergo germline testing (and, when indicated, somatic tumor testing) for hereditary cancer susceptibility genes, as this information influences treatment decisions, surveillance strategies, and cascade testing of relatives.[13]

Beyond genetic predisposition, risk factors for ovarian cancer include reproductive and hormonal factors such as endometriosis, infertility, and use of postmenopausal estrogen therapy without adequate progestin, as well as lifestyle and environmental exposures.[8][14] Protective factors include multiparity, breastfeeding, and use of combined oral contraceptives, which are associated with substantial relative risk reductions in both the general population and among BRCA1/2 carriers.[15][16] Risk-reducing salpingo-oophorectomy significantly decreases ovarian cancer risk and overall mortality in BRCA1/2 mutation carriers and is a cornerstone of preventive strategies in this population.[17][18][19]

Early detection of ovarian cancer is challenging because there are no effective screening tests for average-risk women. Large randomized trials of screening with CA-125 and transvaginal ultrasonography have not demonstrated a clear mortality benefit and have led to false-positive results and unnecessary surgery; therefore, routine screening is not recommended for asymptomatic women at average risk.[20][1] Instead, clinical attention is focused on timely evaluation of symptoms and risk assessment in women with hereditary predisposition.[21]

Most patients lack specific symptoms until disease is advanced, and approximately 70% to 80% of epithelial ovarian cancers are diagnosed at stage III or IV.[1][22] When present, symptoms are typically nonspecific and may include abdominal bloating or distension, early satiety, pelvic or abdominal pain, urinary urgency or frequency, changes in bowel habits, and unintentional weight loss.[22][21] Definitive diagnosis and staging require surgical exploration to determine the origin and extent of disease and to obtain tissue for histopathologic and molecular evaluation.[3][23]

Early-stage disease (confined to the ovaries or fallopian tubes) is primarily managed with comprehensive surgical staging and, in selected stage I cases, adjuvant platinum-based chemotherapy; 5-year overall survival for appropriately treated early-stage disease is approximately 70% to 95%.[23][1] Advanced-stage disease typically requires cytoreductive surgery combined with platinum-taxane chemotherapy, delivered either as primary debulking surgery followed by adjuvant chemotherapy or as neoadjuvant chemotherapy followed by interval debulking in patients with high tumor burden or poor performance status.[3][24] For patients with advanced-stage high-grade serous carcinoma who respond to initial platinum-based chemotherapy, maintenance therapy with PARP inhibitors, with or without the anti-angiogenic agent bevacizumab, improves progression-free survival, particularly in those with BRCA1/2 variants or HRD-positive tumors.[10][1] Nonetheless, most patients with advanced epithelial ovarian cancer eventually relapse, and 5-year overall survival in this group remains approximately 10% to 40% despite modern systemic therapy.[3][23]

References

  1. 1.0 1.1 1.2 1.3 1.4 1.5 1.6 Caruso G, Weroha SJ, Cliby W (2025). “Ovarian cancer: a review”. JAMA.
  2. 2.0 2.1 WHO Classification of Tumours Editorial Board (2020). “Female genital tumours”. World Health Organization Classification of Tumours. IARC Press. 5th ed.
  3. 3.0 3.1 3.2 3.3 González-Martín A, Harter P, Leary A, et al; ESMO Guidelines Committee (2023). “Newly diagnosed and relapsed epithelial ovarian cancer: ESMO clinical practice guideline for diagnosis, treatment and follow-up”. Ann Oncol. 34 (10): 833–848. doi:10.1016/j.annonc.2023.07.011.
  4. Bray F, Laversanne M, Sung H; et al. (2024). “Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries”. CA Cancer J Clin. 74 (3): 229–263. doi:10.3322/caac.21834.
  5. Cabasag CJ, Fagan PJ, Ferlay J; et al. (2022). “Ovarian cancer today and tomorrow: a global assessment by world region and Human Development Index using GLOBOCAN 2020”. Int J Cancer. 151 (9): 1535–1541. doi:10.1002/ijc.34002.
  6. Siegel RL, Kratzer TB, Giaquinto AN, Sung H, Jemal A (2025). “Cancer statistics, 2025”. CA Cancer J Clin. 75 (1): 10–45. doi:10.3322/caac.21871.
  7. Karnezis AN, Cho KR, Gilks CB, Pearce CL, Huntsman DG (2017). “The disparate origins of ovarian cancers: pathogenesis and prevention strategies”. Nat Rev Cancer. 17 (1): 65–74. doi:10.1038/nrc.2016.113.
  8. 8.0 8.1 Barnard ME, Farland LV, Yan B; et al. (2024). “Endometriosis typology and ovarian cancer risk”. JAMA. 332 (6): 482–489. doi:10.1001/jama.2024.9210.
  9. Konstantinopoulos PA, Ceccaldi R, Shapiro GI, D’Andrea AD (2015). “Homologous recombination deficiency: exploiting the fundamental vulnerability of ovarian cancer”. Cancer Discov. 5 (11): 1137–1154. doi:10.1158/2159-8290.CD-15-0714.
  10. 10.0 10.1 Caruso G, Tomao F, Parma G; et al. (2023). “Poly (ADP-ribose) polymerase inhibitors in ovarian cancer: lessons learned and future directions”. Int J Gynecol Cancer. 33 (4): 431–443. doi:10.1136/ijgc-2022-004149.
  11. Kotsopoulos J, Gronwald J, Karlan B, et al; Hereditary Ovarian Cancer Clinical Study Group (2018). “Age-specific ovarian cancer risks among women with a BRCA1 or BRCA2 mutation”. Gynecol Oncol. 150 (1): 85–91. doi:10.1016/j.ygyno.2018.05.011.
  12. Bonadona V, Bonaïti B, Olschwang S, et al; French Cancer Genetics Network (2011). “Cancer risks associated with germline mutations in MLH1, MSH2, and MSH6 genes in Lynch syndrome”. JAMA. 305 (22): 2304–2310. doi:10.1001/jama.2011.743.
  13. Konstantinopoulos PA, Norquist B, Lacchetti C; et al. (2020). “Germline and somatic tumor testing in epithelial ovarian cancer: ASCO guideline”. J Clin Oncol. 38 (11): 1222–1245. doi:10.1200/JCO.19.02960.
  14. Tanha K, Mottaghi A, Nojomi M; et al. (2021). “Investigation on factors associated with ovarian cancer: an umbrella review of systematic review and meta-analyses”. J Ovarian Res. 14 (1): 153. doi:10.1186/s13048-021-00911-z.
  15. van Bommel MH, IntHout J, Veldmate G; et al. (2023). “Contraceptives and cancer risks in BRCA1/2 pathogenic variant carriers: a systematic review and meta-analysis”. Hum Reprod Update. 29 (2): 197–217. doi:10.1093/humupd/dmac038.
  16. Iodice S, Barile M, Rotmensz N; et al. (2010). “Oral contraceptive use and breast or ovarian cancer risk in BRCA1/2 carriers: a meta-analysis”. Eur J Cancer. 46 (12): 2275–2284. doi:10.1016/j.ejca.2010.04.018.
  17. Marchetti C, De Felice F, Palaia I; et al. (2014). “Risk-reducing salpingo-oophorectomy: a meta-analysis on impact on ovarian cancer risk and all-cause mortality in BRCA1 and BRCA2 mutation carriers”. BMC Womens Health. 14: 150. doi:10.1186/s12905-014-0150-5.
  18. Walker JL, Powell CB, Chen LM; et al. (2015). “Society of Gynecologic Oncology recommendations for the prevention of ovarian cancer”. Cancer. 121 (13): 2108–2120. doi:10.1002/cncr.29321.
  19. American College of Obstetricians and Gynecologists (2019). “ACOG Committee Opinion No. 774: opportunistic salpingectomy as a strategy for epithelial ovarian cancer prevention”. Obstet Gynecol. 133 (4): e279–e284. doi:10.1097/AOG.0000000000003164.
  20. US Preventive Services Task Force (2018). “Screening for ovarian cancer: US Preventive Services Task Force recommendation statement”. JAMA. 319 (6): 588–594. doi:10.1001/jama.2017.21926.
  21. 21.0 21.1 Huepenbecker SP, Sun CC, Fu S; et al. (2021). “Factors impacting the time to ovarian cancer diagnosis based on classic symptom presentation in the United States”. Cancer. 127 (22): 4151–4160. doi:10.1002/cncr.33778.
  22. 22.0 22.1 Goff BA, Mandel LS, Melancon CH, Muntz HG (2004). “Frequency of symptoms of ovarian cancer in women presenting to primary care clinics”. JAMA. 291 (22): 2705–2712. doi:10.1001/jama.291.22.2705.
  23. 23.0 23.1 23.2 Berek JS, Renz M, Kehoe S, Kumar L, Friedlander M (2021). “Cancer of the ovary, fallopian tube, and peritoneum: 2021 update”. Int J Gynaecol Obstet. 155 (suppl 1): 61–85. doi:10.1002/ijgo.13878.
  24. Fleming ND, Nick AM, Coleman RL; et al. (2018). “Laparoscopic surgical algorithm to triage the timing of tumor reductive surgery in advanced ovarian cancer”. Obstet Gynecol. 132 (3): 545–554. doi:10.1097/AOG.0000000000002796.


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Historical Perspective

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

Overview

Ovarian cancer was first linked to gene mutations by Dr. King who found and named BRCA1 gene on chromosome 17 in 1990 and BRCA2 gene on chromosome 13 in 1994.

Historical Perspective

References

  1. Winer E, Gralow J, Diller L, Karlan B, Loehrer P, Pierce L; et al. (2009). “Clinical cancer advances 2008: major research advances in cancer treatment, prevention, and screening–a report from the American Society of Clinical Oncology”. J Clin Oncol. 27 (5): 812–26. doi:10.1200/JCO.2008.21.2134. PMC 2645086. PMID 19103723.
  2. Diamandopoulos GT (1996). “Cancer: an historical perspective”. Anticancer Res. 16 (4A): 1595–602. PMID 8712676.
  3. Hajdu SI (2011). “A note from history: landmarks in history of cancer, part 1”. Cancer. 117 (5): 1097–102. doi:10.1002/cncr.25553. PMID 20960499.
  4. Apostolou, Paraskevi; Fostira, Florentia (2013). “Hereditary Breast Cancer: The Era of New Susceptibility Genes”. BioMed Research International. 2013: 1–11. doi:10.1155/2013/747318. ISSN 2314-6133.
  5. Godet, Inês; M. Gilkes, Daniele (2017). “BRCA1 and BRCA2 mutations and treatment strategies for breast cancer”. Integrative Cancer Science and Therapeutics. 4 (1). doi:10.15761/ICST.1000228. ISSN 2056-4546.

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Classifications

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

Overview

Ovarian cancer may be classified according to the histology of the tumor, obtained in a pathology report. Based on the classification, the management of ovarian cancer is directed and determined. The main four types of ovarian cancer are Surface epithelial-stromal tumour, Sex cord-stromal tumor, Germ cell tumor, and Mixed tumors.

Classification


Ovarian cancer Types Ovarian cancer subtypes
Surface epithelial-stromal tumour (60-70%) Ovarian serous tumor
  • Ovarian borderline serous cystadenoma: ~15% of serous tumor
  • Ovarian serous cystadenocarcinoma: ~25% of serous tumor; commonest malignant ovarian tumour
Ovarian mucinous tumor
  • Ovarian mucinous cystadenoma: ~80% of mucinous tumor
  • Ovarian borderline mucinous cystadenoma: 10-15% of mucinous tumor
  • Ovarian mucinous cystadenocarcinoma: ~5-10% of serous tumor
Ovarian endometrioid tumour
  • 8-15% of all ovarian tumor
Brenner tumour
  • ~2.5% of ovarian epithelial neoplasms
Squamous cell carcinoma of the ovary
  • ~5% of ovarian cancer
Ovarian cystadenofibroma / ovarian adenofibroma
  • can be serous, mucinous, endometrioid, clear cell or mixed
Ovarian cystadenocarcinofibroma
  • extremely rare
Undifferentiated carcinoma of the ovary
  • ~4% of all ovarian tumor
Germ cell ovarian tumor (~20%) Ovarian teratoma: commonest primary benign tumour of ovary
  • Immature ovarian teratoma
  • Mature ovarian (cystic) teratoma
  • Specialised teratomas of the ovary
  • Struma ovarii tumour
  • Ovarian carcinoid tumor
Ovarian dysgerminoma
Ovarian yolk sac tumour
  • endodermal sinus tumour
Ovarian embryonal carcinoma
Ovarian choriocarcinoma
  • <1% of ovarian tumor
Pure primary ovarian choriocarcinoma
  • extremely rare
Malignant mixed germ cell tumour of the ovary
Sex cord / stromal ovarian tumor (8-10%)[5][6] Ovarian fibrothecoma
  • ~5% of ovarian tumor
Ovarian fibroma
  • ~4% of ovarian tumor
Sclerosing stromal tumour of the ovary
  • rare
Ovarian Sertoli-Leydig cell tumour – ovarian androblastoma
  • ~0.5% of ovarian tumor
Granulosa cell tumour of ovary
  • commonest malignant sex cord tumour
Juvenile granulosa cell tumour of ovary
Adult granulosa cell tumour of ovary
Others Ovarian carcinosarcoma <1%
  • Primary ovarian lymphoma
  • Secondary involvement of the ovary with lymphoma
Metastases to the ovary Krukenburg tumour
Other metastatic lesions to ovary

    References

    1. 1.0 1.1 Heintz AP, Odicino F, Maisonneuve P, Beller U, Benedet JL, Creasman WT; et al. (2001). “Carcinoma of the ovary”. J Epidemiol Biostat. 6 (1): 107–38. PMID 11385772.
    2. 2.0 2.1 Banks E (2001). “The epidemiology of ovarian cancer”. Methods Mol Med. 39: 3–11. doi:10.1385/1-59259-071-3:3. PMID 21340753.
    3. 3.0 3.1 Singer G, Oldt R, Cohen Y, Wang BG, Sidransky D, Kurman RJ; et al. (2003). “Mutations in BRAF and KRAS characterize the development of low-grade ovarian serous carcinoma”. J Natl Cancer Inst. 95 (6): 484–6. doi:10.1093/jnci/95.6.484. PMID 12644542.
    4. 4.0 4.1 Singer G, Stöhr R, Cope L, Dehari R, Hartmann A, Cao DF; et al. (2005). “Patterns of p53 mutations separate ovarian serous borderline tumors and low- and high-grade carcinomas and provide support for a new model of ovarian carcinogenesis: a mutational analysis with immunohistochemical correlation”. Am J Surg Pathol. 29 (2): 218–24. PMID 15644779.
    5. 5.0 5.1 Chen VW, Ruiz B, Killeen JL, Coté TR, Wu XC, Correa CN (2003). “Pathology and classification of ovarian tumors”. Cancer. 97 (10 Suppl): 2631–42. doi:10.1002/cncr.11345. PMID 12733128.
    6. 6.0 6.1 Young RH (2005). “Sex cord-stromal tumors of the ovary and testis: their similarities and differences with consideration of selected problems”. Mod Pathol. 18 Suppl 2: S81–98. doi:10.1038/modpathol.3800311. PMID 15502809.


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    Pathophysiology

    Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

    Overview

    Ovarian cancer is usually diagnosed late resulting in a poor overall outcome for the patient. Pathological findings, therefore, often only occur in advanced symptomatic onset and tend to present more as severe pathologic outcomes.

    Pathophysiology

    Clear Cell Tumor

    Endometrioid Tumor

    Endometrioid tumors are part of the surface epithelial tumor group of ovarian neoplasms (10-20% of which are the endometrioid type). Benign and borderline variants are rare, as the majority are malignant. There is an association with endometriosis and concurrent primary endometrial carcinoma (endometrial cancer).

    Gross Patholgy

    Ovarian Carcinomas Subtype Features on Gross Pathology
    Ovarian serous cystadenocarcinoma
    • Typically solid with multiple cystic areas.
    • Often >10 cm.
    Ovarian mucinous cystadenocarcinoma
    • Multiloculated.
    • Sticky, gelatinous fluid (glycoprotein).
    • +/- Necrosis.
    • Typically unilateral.
    Endometrioid carcinoma of the ovary
    • Usually solid and cystic, bilateral

    Microscopic Pathology

    Histologic subtypes of epithelial ovarian tumor include:[1][2][3][4]

    • Surface epithelial stromal ovarian tumor (60-70%)
    • Ovarian serous tumor
    • Ovarian serous cystadenoma: ~60% of serous tumor
    • Ovarian borderline serous cystadenoma: ~15% of serous tumor
    • Ovarian serous cystadenocarcinoma: ~25% of serous tumor. Commonest malignant ovarian tumor
    • Ovarian mucinous tumor: ~20% of all ovarian tumor
    • Ovarian mucinous cystadenoma: ~80% of mucinous tumor
    • Ovarian bordeline mucinous cystadenoma: 10-15% of mucinous tumor
    • Ovarian mucinous cystadenocarcinoma: 5-10% of mucinous tumor
    • Ovarian endometrioid tumour: 8-15% of all ovarian tumor
    • Clear cell ovarian carcinoma: ~5% of ovarian cancer
    • Brenner tumour: ~2.5% of ovarian epithelial neoplasms
    • Squamous cell carcinoma of the ovary
    • Ovarian cystadenofibroma / ovarian adenofibroma: can be serous, mucinous, endometrioid, clear cell or mixed
    • Ovarian cystadenocarcinofibroma: extremely rare
    • Undifferentiated carcinoma of the ovary: ~4% of all ovarian tumor
    Vulvar Carcinomas Subtype Features on Histopathological Microscopic Analysis Image
    Ovarian serous cystadenocarcinoma
    • Variation in size – often marked
    • Variation in staining
    • Variation in shape
    • +/-Macronucleolus – key feature
    • Eccentric nucleus
    • Architecture:
    • Solid
    • Papillary – classic
    • Glandular – uncommon
    • +/-Psammoma bodies – uncommon
    • +/-Necrosis – often extensive
    Ovarian mucinous cystadenocarcinoma
    • Mucinous differentiation
    • Tall columnar cells in glands with apical mucin
    • May have an endocervical-like or intestinal-like appearance – see subtypes
    • Invasive morphology – one of the following:
    • Back-to-back glands/confluent growth pattern
    • Desmoplastic stromal response
    • Cribriforming of glands
    • Malignant characteristics:
    • +/-Nuclear atypia
    • +/-Necrosis
    • No cilia
    Endometrioid carcinoma of the ovary
    • Tubular glands
    • Cribriform pattern common
    • May see mucinous secretion
    • May have squamous differentiation/squamous metaplasia
    • Resemblance to endometrial carcinoma, and over a third of cases have focal squamous differentiation

    Clear cell tumor

    Clear cell tumors can be either clear cell adenocarcinomas or clear cell sarcomas.On microscopic pathological examination, they are composed of cells with clear cytoplasm (that contains glycogen) and hob nail cells (from which the glycogen has been secreted).The pattern may be glandular, papillary or solid.

    Shown below is an image of Overian clear cell adenocarcinoma.(H&E stain,very high mag)

    Video

    Shown below is a video of clear cell adenocarcinoma of the vagina.

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    References

    1. Hoffman, Barbara (2012). Williams gynecology. New York: McGraw-Hill Medical. ISBN 9780071716727.
    2. Malignant melanoma. Libre pathology. http://librepathology.org/wiki/index.php/Malignant_melanoma. URL Accessed on September 30, 2015
    3. Basal cell carcinoma . Libre pathology. http://librepathology.org/wiki/index.php/Basal_cell_carcinoma. URL Accessed on September 30, 2015
    4. Squamous cell carcinoma. Libre pathology. http://librepathology.org/wiki/index.php/Squamous_cell_carcinoma. URL Accessed on September 30, 2015


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    Causes

    Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

    Overview

    Ovarian cancer etiology is not completely understood but there are multiple risk factors that can play a role in its occurrence. The theories of the etiology of ovarian cancer suggest that repeated ovulation injures the ovarian epithelium and eventually leads to ovarian cancer development. The other theories discuss the origin of ovarian cancer that can be cortical inclusion cysts that become neoplastic or metaplastic or dysplastic changes of the fallopian tube. Direct effect of persistent Gonadotrophin release from the pituitary gland on the ovary also believed to play a role in ovarian cancer etiology.

    Causes


    Drug Side Effect

    References

    1. Spirtas, Robert; Kaufman, Steven C.; Alexander, Nancy J. (1993). “Fertility drugs and ovarian cancer: red alert or red herring?”. Fertility and Sterility. 59 (2): 291–293. doi:10.1016/S0015-0282(16)55670-2. ISSN 0015-0282.
    2. Ottevanger, Petronella Beatrix (2017). “Ovarian cancer stem cells more questions than answers”. Seminars in Cancer Biology. 44: 67–71. doi:10.1016/j.semcancer.2017.04.009. ISSN 1044-579X.
    3. Fishel S, Jackson P (1989). “Follicular stimulation for high tech pregnancies: are we playing it safe?”. BMJ. 299 (6694): 309–11. doi:10.1136/bmj.299.6694.309. PMC 1837149. PMID 2535637.

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    Differentiating Ovarian cancer from other Disorders

    Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Fahimeh Shojaei, M.D. Huda A. Karman, M.D.

    Overview

    On the basis of age of onset, vaginal discharge, and constitutional symptoms, ovarian cancer must be differentiated from tubo-ovarian abscess, ectopic pregnancy, hydrosalpinx, salpingitis, fallopian tube carcinoma, uterine leiomyoma, choriocarcinoma, leiomyosarcoma, pregnancy, appendiceal abscess, appendiceal neoplasm, diverticular abscess, colorectal cancer, pelvic kidney, advanced bladder cancer, and retroperitoneal sarcoma.

    Differentiating ovarian cancer from other Diseases

    Differentiating ovarian cancer from other diseases on the basis of age of onset, vaginal discharge and constitutional symptoms

    On the basis of age of onset, vaginal discharge, and constitutional symptoms, ovarian cancer must be differentiated from tubo-ovarian abscess, ectopic pregnancy, hydrosalpinx, salpingitis, fallopian tube carcinoma, uterine leiomyoma, choriocarcinoma, leiomyosarcoma, pregnancy, appendiceal abscess, appendiceal neoplasm, diverticular abscess, colorectal cancer, pelvic kidney, advanced bladder cancer, and retroperitoneal sarcoma.[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81]

    Diseases Clinical manifestations Para-clinical findings Gold standard Additional findings
    Age of onset Symptoms Physical examination
    Lab Findings Imaging Immunohistopathology
    Pelvic/abdominal pain or pressure Vaginal bleeding/discharge GI dysturbance Fever Tenderness CT scan/US MRI
    Gynecologic
    Ovarian Follicular cysts
    [1]
    +/– +/–
    • In US we may see a >3 cm simple cyst with no internal echo and with posterior acoustic enhancement
    • NA
    Theca lutein cysts
    [2][3][4]
    +/– +/–
    Serous cystadenoma/carcinoma
    [5][6][7][8]
    • >55 y/o
    +/– +/–
    • In US we may see simple or multiloculated cyst
    • In serous cystadenocarcinoma we may see papillary projection inside the cyst
    • In serous cystadenocarcinoma we may see ascites
    • We may see a simple cyst with beak sign, hypointense on T1 and hyperintense on T2
    • We may see some Solid malignant components inside the cyst with intermediate signal on T1 and T2
    Mucinous cystadenoma/carcinoma
    [9][10][11]
    • >55 y/o
    +/– +/–
    • Stained glass appearance due to variable signal intensity on T1 and T2
    • The more mucin we have, there is more intensity on T1
    • and less intensity on T2
    Endometrioma
    [12][13][14]
    + + +/– +
    • hyperintensity on T1-weighted images and a hypointensity on T2-weighted images
    • Powder burn hemorrhages
    Teratoma
    [15][16][17][18]
    • 10-30 y/o
    +/– +/–
    • We may see evidence of fat components
    Dysgerminoma
    [19][20]
    • in the second to third decade of life
    + +/– +/–
    • We may see ovarian mass with septation which are hyperintense on T1 and hypo or isointense on T2 imaging
    • Sheets fried egg appearance cells
    Yolk sac tumor
    [21][22][23]
    + +
    • High levels of AFP
    • In US we may see a combination of echogenic and hypoechoic components
    • Yellow appearance
    • Schiller-Duval bodies (glomeruli like structures)
    Fibroma
    [24][25][26]
    • >50 y/o
    • Pulling sensation in the groin
    +/–
    • In CT scan we may see a unilateral mass with poor contrast enhancement
    • Low signal intensity on T1 and T2
    Thecoma
    [27][28][29]
    • >50 y/o
    +/–
    Granulosa cell tumor
    [30][31][32][33]
    • 50-60 y/o
    + +/–
    Sertoli-leydig cell tumor
    [34][35]
    • 15 to 35 y/o
    +/–
    • In US we may see unilateral Well-defined hypoechoic lesion
    • Low T2 signal intensity
    • areas of high signal intensity
    Brenner tumor
    [36][37]
    • >55 y/o
    +/–
    • Hypointense on T2 because of fibrous content
    • Most of the times it’s an accidental finding
    Krukenberg tumor
    [38][39]
    • >55 y/o
    +/– +/–

    Based on underlying malignancy

    Tubal tubo-ovarian abscess
    [40][41][42][43]
    + + + +
    • hypointense in T1 and heterogeneous in T2
    Ectopic pregnancy
    [44]
    + + +/– +
    • NA
    • NA
    Hydrosalpinx
    [45][46][47]
    • NA
    + +/–
    • NA
    Salpingitis
    [48]
    + + + +
    • In US we may see , edematous and thickened endosalpingeal folds
    • NA
    • NA
    Fallopian tube carcinoma
    [49]
    • >60 y/o
    + + + +/–
    • Low signal on T1
    • In case of hemorrhage inside the tumor we may see high signal intensity on T1
    • Low or of intermediate signal on T2
    • Based on the tumor type we may have different biopsy finding
    Uterine Leiomyoma
    [50][51]
    + + +/–
    • Low to intermediate signal intensity on T1 and T2
    • In case of necrosis inside the mass, there might be some high signal lesions on T2
    Choriocarcinoma
    [52][53][54][55]
    + + +/– +
    • We may see an infiltrative uterine mass and thickening of uterine wall
    Leiomyosarcoma
    [56][57][58][59][60]
    • >55 y/o
    + + +/–
    • Increased uterine size
    • Irregular central zones of low signal intensity (tumor necrosis)
    Pregnancy
    [61]
    +/− +/− +/−
    • NA
    Non-gynecologic
    GIT Appendiceal abscess
    [62]
    • NA
    + + +/– +
    • NA
    Appendiceal neoplasm
    [63][64][65][66][67]
    + + +/–
    • Soft tissue mass in the appendix
    • We may see invasion to other structures
    • Gray/yellowi color
    • Cystic structures with angiolymphatic invasion
      Diverticular abscess
      [72]
      • >50 y/o
      + + +/– +
      • Ill-defined lesion with air and fluid inside
      • Adjacent bowel loop wall thickening
      • Smudged mesenteric fat
      • We may see a lesion with air and fluid inside
      • NA
      Colorectal cancer
      [68][69][70][71]
      • >50 y/o
      + + +/–
      • We may see tumor mass and the extension of tumor to other structures
      Renal

      Bladder

      Pelvic kidney
      [73][74]
      • NA
      −/+

      In case of sever hydronephrosis or renal stone we may have pelvic pain

      • We may see normal kidney structure
      • NA
      • It may cause tract infection (UTI), obstruction, and renal calculi.
      • It may be associated with RCC
      Bladder cancer
      [75][76][77]
      • ≥65 y/o
      +
      • isointense compared to muscle in T1
      • slightly hyperintense compared to muscle in T2
      Others Retroperitoneal sarcoma
      [78][79][80][81]
      • 40-50 y/o
      + +

      ABBREVIATIONS

      BTA=Bladder tumor associated antigen, NMP= Nuclear matrix proteins, CEA= Carcinoembryonic antigen, US= Ultrasound, HCG= Human chorionic gonadotropin, LDH= Lactate dehydrogenase, AFP= Alpha fitoprotein, CA125= Cancer antigen 125, H&E= Hematoxylin and eosin, MRI= Magnetic resonance imaging, GI= Gastrointestinal tract, PID= Pelvic inflammatory disease, CA19-9= Carbohydrate antigen 19-9, 5HIAA= 5-hydroxyindoleacetic acid, MEN syndrome= Multiple endocrine neoplasia syndrome, HNPCC= Hereditary nonpolyposis colorectal cancer, UTI= Urinary tract infection, RCC= Renal cell carcinoma

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      77. 77.0 77.1 Metts MC, Metts JC, Milito SJ, Thomas CR (June 2000). “Bladder cancer: a review of diagnosis and management”. J Natl Med Assoc. 92 (6): 285–94. PMC 2640522. PMID 10918764.
      78. 78.0 78.1 Storm FK, Mahvi DM (July 1991). “Diagnosis and management of retroperitoneal soft-tissue sarcoma”. Ann. Surg. 214 (1): 2–10. PMC 1358407. PMID 2064467.
      79. 79.0 79.1 Francis IR, Cohan RH, Varma DG, Sondak VK (August 2005). “Retroperitoneal sarcomas”. Cancer Imaging. 5: 89–94. doi:10.1102/1470-7330.2005.0019. PMID 16154826.
      80. 80.0 80.1 Silverstein, Murray N.; Wakim, Khalil G.; Bahn, Robert C. (1964). “Hypoglycemia associated with neoplasia”. The American Journal of Medicine. 36 (3): 415–423. doi:10.1016/0002-9343(64)90168-8. ISSN 0002-9343.
      81. 81.0 81.1 Storm FK, Mahvi DM (July 1991). “Diagnosis and management of retroperitoneal soft-tissue sarcoma”. Ann. Surg. 214 (1): 2–10. PMC 1358407. PMID 2064467.

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      Epidemiology and Demographics

      Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Rim Halaby, M.D. [2] Huda A. Karman, M.D.

      Overview

      Ovarian cancer is the 7th most common type of cancer in women worldwide and the 8th most common type of cancer in the United States. Ovarian cancer is the second most common gynecologic malignancy and the most common cause of gynecologic cancer death in the United States. Ovarian cancer is the second most common gynecologic malignancy in developed countries, with an incidence of 9.4 per 100,000 women and a mortality rate of 5.1 per 100,000. In developing countries, it is the third most common gynecologic malignancy (cervical cancer is the most common), with an incidence of 5.0 per 100,000 and a mortality rate of 3.1 per 100,000. The age-adjusted prevalence of ovarian cancer in the United States is 71.3 per 100,000 in 2011. The estimated number of new cases of ovarian cancer is approximately 22,000.

      Epidemiology and Demographics

      Prevalence

      Incidence

      Age

      • Older women are at highest risk. More than half of the deaths from ovarian cancer occur in women between 55 and 74 years of age.

      Delay-adjusted incidence and observed incidence of ovarian cancer by age and race in the United States between 1975 and 2011

      Race

      • Shown below is a table depicting the age-adjusted prevalence of ovarian cancer by race in 2011 in the United States.[3]
      All Races White Black Asian/Pacific Islander Hispanic
      Age-adjusted prevalence 71.3 per 100,000 76.2 per 100,000 44.2 per 100,000 63.2 per 100,000 59.1 per 100,000

      Incidence of ovarian cancer by race in the United States between 1975 and 2011

      API: Asian/Pacific Islander; AI/AN: American Indian/ Alaska Native

      Percent Distribution of Ovarian Cancer by Histology

      Among patients with histologically confirmed cases of ovarian cancer, the percent distribution of the types of the disease between 2007 and 2011 in the United States are:[3]

      • Carcinoma: 91.7%
        • Epidermoid carcinoma: 0.7%
        • Adenocarcinoma: 84%
          • Adenocarcinoma, not otherwise specified: 12.3%
          • Papillary adenocarcinoma: 1,5%
          • Clear cell adenocarcinoma: 5.2%
          • Endometrioid carcinoma: 9.7%
          • Cystadenocarcinoma, not otherwise specified: 0.4%
          • Serous cystadenocarcinoma: 20.9%
          • Papillary serous cystadenocarcinoma: 23.5%
          • Mucinous cystadenocarcinoma: 1.5%
          • Mucinous adenocarcinoma: 3.5%
          • Mucin-producing adenocarcinoma: 0.2%
          • Other adenocarcinoma: 5.3%
        • Other specific carcinoma: 2.3%
          • Stromal cell tumor: 1.6%
          • Other: 0.7%
        • Unspecified carcinoma, not otherwise specified: 4.6%
      • Sarcoma and other soft tissues: 0.4%
      • Other specific types: 6.9%
        • Mullerian mixed tumor: 3%
        • Malignant teratoma: 1.5%
        • Other: 2.4%
      • Unspecified: 1.1%

      References

      1. Ovarian cancer incidence statistics. Cancer research UK
      2. Brett M., Reid; Brett M., Reid; Jennifer B., Permuth; Thomas A., Sellers; Jennifer B., Permuth; Thomas A., Sellers (2017). “Epidemiology of ovarian cancer: a review”. Cancer Biology & Medicine. 14 (1): 9–32. doi:10.20892/j.issn.2095-3941.2016.0084. ISSN 2095-3941.
      3. 3.0 3.1 3.2 3.3 3.4 3.5 3.6 3.7 Howlader N, Noone AM, Krapcho M, Garshell J, Miller D, Altekruse SF, Kosary CL, Yu M, Ruhl J, Tatalovich Z,Mariotto A, Lewis DR, Chen HS, Feuer EJ, Cronin KA (eds). SEER Cancer Statistics Review, 1975-2011, National Cancer Institute. Bethesda, MD, http://seer.cancer.gov/csr/1975_2011/, based on November 2013 SEER data submission, posted to the SEER web site, April 2014.
      4. Siegel R, Ma J, Zou Z, Jemal A (2014). “Cancer statistics, 2014”. CA Cancer J Clin. 64 (1): 9–29. doi:10.3322/caac.21208. PMID 24399786.


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      Risk Factors

      Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

      Overview

      The risk of developing ovarian cancer appears to be affected by several factors; in fact, early age at first pregnancy, older ages of final pregnancy, and the use of low dose hormonal contraception have been associated with a lower incidence of ovarian cancer. There is good evidence that in some women genetic factors are important.

      Risk Factors

      Common risk factors in the development of ovarian cancer include:[1]

      Ovarian cancer risk factors Characterestics description
      Known risk factors [2][3][4][5][6][7][8][9][10][11][12] Age As age increases, ovarian cancer incidence increases.
      Hormonal and reproductive factors Early menarche and late menopause, Nulliparity, Infertility
      Early menarche and late menopause Both increase the frequency of the ovulation and the ovarian epithelium exposure to persistent injury
      Nulliparity Studies have shown that multiparity and full-term pregnancies decrease the risk of ovarian cancer and fallopian tubal carcinoma
      Infertility Infertility is an independent risk factor of ovarian cancer
      Endometriosis Ovarian cancers that arise from endometriotic tissue usually affect young women and have better prognosis and survival rates
      Polycystic ovarian syndrome The association is controversial and complex
      Postmenopausal hormone therapy Estrogen therapy alone has more association with ovarian cancer than combined estrogenprogesteron therapy
      Intrauterine device Regardless of the type of the IUD, studies have shown an increased risk of ovarian cancer with IUD use
      Genetic factors
      BRCA gene mutations The risk is more with BRCA1 carriers than BRCA2 carriers. Ovarian cancer develops at an earlier age in BRCA1-carrier women compared to BRCA2-carrier women. Serous adenocarcinoma is the most common type.General women and women with BRCA mutations usually present with stage III or IV
      Lynch syndrome Hereditary nonpolyposis colorectal cancer (HNPCC) : 1 percent of cases with ovarian cancer have Lynch syndrome.
      Other genetic factors The genes in the Fanconi anemias pathway can undergo different mutations and lead to the development of ovarian and/or breast cancer. The genes that are associated with ovarian cancer are: BRCA1, BRCA2, BRIP1, RAD51C, RAD51D, PALB2, and BARD1
      Family history of certain cancers BRCA mutation carriers with personal or family history of breast cancer have higher risk of developing ovarian cancer that those without BRCA mutation
      Personal history of breast cancer Increases the risk of breast-ovarian syndrome
      Environmental factors Cigarette smoking associated with mucinous ovarian cancer, asbestos,Talc (Its association is controversial).
      Other factors Diet: dairy food with high animal fat intake is claimed to be associated with ovarian cancer but data are not sufficient to confirm this association, exercise: No clear evidence about the association between physical activity and breast cancer, and obesity: can increases the risk of ovarian cancer and the risk of its mortality, Pelvic inflammatory disease can increase the risk of and might be used as tumor marker for ovarian tumor.
      Possible risk factors[12][9] Obesity Can increases the risk of ovarian cancer and the risk of its mortality.
      Talc use on genetals Its association is controversial).
      Unknown risk factors[10][13] Food types and amount Dairy food with high animal fat intake is claimed to be associated with ovarian cancer but data are not sufficient to confirm this association
      Fertility drugs The role of medications used for ovulation induction in increasing the risks of ovarian cancer is controversial. The association between the fertility drugs and ovarian cancer could be due to the stimulating effect of these drug, however this association is not a causal relation
      Sedentary life Its association is unknown

      References

      1. A. Daniilidis & V. Karagiannis (2007). “Epithelial ovarian cancer. Risk factors, screening and the role of prophylactic oophorectomy”. Hippokratia. 11 (2): 63–66. PMID 19582179. Unknown parameter |month= ignored (help)
      2. . doi:10.22034/APJCP.2017.18.1.11. Missing or empty |title= (help)
      3. 3.0 3.1 Chen S, Parmigiani G (2007). “Meta-analysis of BRCA1 and BRCA2 penetrance”. J Clin Oncol. 25 (11): 1329–33. doi:10.1200/JCO.2006.09.1066. PMC 2267287. PMID 17416853.
      4. 4.0 4.1 Pal T, Permuth-Wey J, Betts JA, Krischer JP, Fiorica J, Arango H; et al. (2005). “BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases”. Cancer. 104 (12): 2807–16. doi:10.1002/cncr.21536. PMID 16284991.
      5. 5.0 5.1 Rubin SC, Blackwood MA, Bandera C, Behbakht K, Benjamin I, Rebbeck TR; et al. (1998). “BRCA1, BRCA2, and hereditary nonpolyposis colorectal cancer gene mutations in an unselected ovarian cancer population: relationship to family history and implications for genetic testing”. Am J Obstet Gynecol. 178 (4): 670–7. doi:10.1016/s0002-9378(98)70476-4. PMID 9579428.
      6. 6.0 6.1 Zhang S, Royer R, Li S, McLaughlin JR, Rosen B, Risch HA; et al. (2011). “Frequencies of BRCA1 and BRCA2 mutations among 1,342 unselected patients with invasive ovarian cancer”. Gynecol Oncol. 121 (2): 353–7. doi:10.1016/j.ygyno.2011.01.020. PMID 21324516.
      7. 7.0 7.1 Norquist BM, Harrell MI, Brady MF, Walsh T, Lee MK, Gulsuner S; et al. (2016). “Inherited Mutations in Women With Ovarian Carcinoma”. JAMA Oncol. 2 (4): 482–90. doi:10.1001/jamaoncol.2015.5495. PMC 4845939. PMID 26720728.
      8. 8.0 8.1 Jordan SJ, Whiteman DC, Purdie DM, Green AC, Webb PM (2006). “Does smoking increase risk of ovarian cancer? A systematic review”. Gynecol Oncol. 103 (3): 1122–9. doi:10.1016/j.ygyno.2006.08.012. PMID 17005245.
      9. 9.0 9.1 9.2 Huncharek M, Geschwind JF, Kupelnick B (2003). “Perineal application of cosmetic talc and risk of invasive epithelial ovarian cancer: a meta-analysis of 11,933 subjects from sixteen observational studies”. Anticancer Res. 23 (2C): 1955–60. PMID 12820486.
      10. 10.0 10.1 10.2 Blank MM, Wentzensen N, Murphy MA, Hollenbeck A, Park Y (2012). “Dietary fat intake and risk of ovarian cancer in the NIH-AARP Diet and Health Study”. Br J Cancer. 106 (3): 596–602. doi:10.1038/bjc.2011.572. PMC 3273348. PMID 22223086.
      11. 11.0 11.1 Carnide N, Kreiger N, Cotterchio M (2009). “Association between frequency and intensity of recreational physical activity and epithelial ovarian cancer risk by age period”. Eur J Cancer Prev. 18 (4): 322–30. doi:10.1097/CEJ.0b013e32832bf3fa. PMID 19390450.
      12. 12.0 12.1 12.2 Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ (2003). “Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults”. N Engl J Med. 348 (17): 1625–38. doi:10.1056/NEJMoa021423. PMID 12711737.
      13. 13.0 13.1 13.2 Bristow RE, Karlan BY (1996). “Ovulation induction, infertility, and ovarian cancer risk”. Fertil Steril. 66 (4): 499–507. PMID 8816606.
      14. 14.0 14.1 Gates MA, Rosner BA, Hecht JL, Tworoger SS (2010). “Risk factors for epithelial ovarian cancer by histologic subtype”. Am J Epidemiol. 171 (1): 45–53. doi:10.1093/aje/kwp314. PMC 2796984. PMID 19910378.
      15. Tsilidis KK, Allen NE, Key TJ, Dossus L, Lukanova A, Bakken K; et al. (2011). “Oral contraceptive use and reproductive factors and risk of ovarian cancer in the European Prospective Investigation into Cancer and Nutrition”. Br J Cancer. 105 (9): 1436–42. doi:10.1038/bjc.2011.371. PMC 3241548. PMID 21915124.
      16. Stewart LM, Holman CD, Aboagye-Sarfo P, Finn JC, Preen DB, Hart R (2013). “In vitro fertilization, endometriosis, nulliparity and ovarian cancer risk”. Gynecol Oncol. 128 (2): 260–4. doi:10.1016/j.ygyno.2012.10.023. PMID 23116937.
      17. Titus-Ernstoff L, Perez K, Cramer DW, Harlow BL, Baron JA, Greenberg ER (2001). “Menstrual and reproductive factors in relation to ovarian cancer risk”. Br J Cancer. 84 (5): 714–21. doi:10.1054/bjoc.2000.1596. PMC 2363792. PMID 11237375.
      18. Brinton LA, Lamb EJ, Moghissi KS, Scoccia B, Althuis MD, Mabie JE; et al. (2004). “Ovarian cancer risk associated with varying causes of infertility”. Fertil Steril. 82 (2): 405–14. doi:10.1016/j.fertnstert.2004.02.109. PMID 15302291.
      19. Erzen M, Rakar S, Klancnik B, Syrjänen K, Klancar B (2001). “Endometriosis-associated ovarian carcinoma (EAOC): an entity distinct from other ovarian carcinomas as suggested by a nested case-control study”. Gynecol Oncol. 83 (1): 100–8. doi:10.1006/gyno.2001.6382. PMID 11585420.
      20. Barry JA, Azizia MM, Hardiman PJ (2014). “Risk of endometrial, ovarian and breast cancer in women with polycystic ovary syndrome: a systematic review and meta-analysis”. Hum Reprod Update. 20 (5): 748–58. doi:10.1093/humupd/dmu012. PMC 4326303. PMID 24688118.
      21. Anderson GL, Judd HL, Kaunitz AM, Barad DH, Beresford SA, Pettinger M; et al. (2003). “Effects of estrogen plus progestin on gynecologic cancers and associated diagnostic procedures: the Women’s Health Initiative randomized trial”. JAMA. 290 (13): 1739–48. doi:10.1001/jama.290.13.1739. PMID 14519708.
      22. Zhou B, Sun Q, Cong R, Gu H, Tang N, Yang L; et al. (2008). “Hormone replacement therapy and ovarian cancer risk: a meta-analysis”. Gynecol Oncol. 108 (3): 641–51. doi:10.1016/j.ygyno.2007.12.003. PMID 18221779.
      23. Tworoger SS, Fairfield KM, Colditz GA, Rosner BA, Hankinson SE (2007). “Association of oral contraceptive use, other contraceptive methods, and infertility with ovarian cancer risk”. Am J Epidemiol. 166 (8): 894–901. doi:10.1093/aje/kwm157. PMID 17656616.
      24. Pal T, Permuth-Wey J, Betts JA, Krischer JP, Fiorica J, Arango H; et al. (2005). “BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases”. Cancer. 104 (12): 2807–16. doi:10.1002/cncr.21536. PMID 16284991.
      25. Lakhani SR, Manek S, Penault-Llorca F, Flanagan A, Arnout L, Merrett S; et al. (2004). “Pathology of ovarian cancers in BRCA1 and BRCA2 carriers”. Clin Cancer Res. 10 (7): 2473–81. PMID 15073127.
      26. Bolton KL, Chenevix-Trench G, Goh C, Sadetzki S, Ramus SJ, Karlan BY; et al. (2012). “Association between BRCA1 and BRCA2 mutations and survival in women with invasive epithelial ovarian cancer”. JAMA. 307 (4): 382–90. doi:10.1001/jama.2012.20. PMC 3727895. PMID 22274685.
      27. Levine DA, Argenta PA, Yee CJ, Marshall DS, Olvera N, Bogomolniy F; et al. (2003). “Fallopian tube and primary peritoneal carcinomas associated with BRCA mutations”. J Clin Oncol. 21 (22): 4222–7. doi:10.1200/JCO.2003.04.131. PMID 14615451.
      28. Kauff ND, Mitra N, Robson ME, Hurley KE, Chuai S, Goldfrank D; et al. (2005). “Risk of ovarian cancer in BRCA1 and BRCA2 mutation-negative hereditary breast cancer families”. J Natl Cancer Inst. 97 (18): 1382–4. doi:10.1093/jnci/dji281. PMID 16174860.
      29. Lin HW, Tu YY, Lin SY, Su WJ, Lin WL, Lin WZ; et al. (2011). “Risk of ovarian cancer in women with pelvic inflammatory disease: a population-based study”. Lancet Oncol. 12 (9): 900–4. doi:10.1016/S1470-2045(11)70165-6. PMID 21835693.

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      Screening

      Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

      Overview

      There are no recommendations for screening ovarian cancer in asymptomatic women although better outcome is associated with early diagnosis. Biomarkers from peritoneal fluid can be used as a mean of early detection of ovarian cancer but this is still an emerging proof. Examples of screening and diagnostic methods for ovarian cancer include pelvic examination, cancer antigen 125 (CA125) tumor marker, transvaginal ultrasound (TVU), multimarker panels, and bioinformatic analysis of proteomic patterns.

      Screening

      References

      1. Smith RA, Andrews KS, Brooks D, Fedewa SA, Manassaram-Baptiste D, Saslow D; et al. (2017). “Cancer screening in the United States, 2017: A review of current American Cancer Society guidelines and current issues in cancer screening”. CA Cancer J Clin. 67 (2): 100–121. doi:10.3322/caac.21392. PMID 28170086.
      2. Galea M, Gauci G, Calleja-Agius J, Schembri-Wismayer P (2017). “Peritoneal biomarkers in the early detection of ovarian cancer”. Minerva Ginecol. 69 (1): 84–99. doi:10.23736/S0026-4784.16.03943-5. PMID 27284942.
      3. . doi:10.1158/1940-6207.CAPR-11-0378. Check |doi= value (help). Missing or empty |title= (help)

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      Natural History, Complications, and Prognosis

      Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Huda A. Karman, M.D.

      Overview

      Ovarian cancer is often diagnosed late resulting in a poor overall outcome for the patient. Ovarian cancer complications can be spread of cancer to other organs, progressive function loss of various organs, ascites (fluid in the abdomen), intestinal obstruction. Ovarian cancer has a poor prognosis. More than 60% of patients presenting with this cancer already have stage III or stage IV cancer, when it has already spread beyond the ovaries.

      Natural History, Complications, and Prognosis

      Natural History

      • Ovarian cancer is often diagnosed late resulting in a poor overall outcome for the patient.

      Complications

      Prognosis

      • Ovarian cancer has a poor prognosis. It is disproportionately deadly because symptoms are vague and non-specific, hence diagnosis is late. More than 60% of patients presenting with this cancer already have stage III or stage IV cancer, when it has already spread beyond the ovaries.
      • Ovarian cancers that are malignant shed cells into the naturally occurring fluid within the abdominal cavity. These cells can implant on other abdominal (peritoneal) structures included the uterus, urinary bladder, bowel, lining of the bowel wall (omentum) and can even spread to the lungs. These cells can begin forming new tumor growths before cancer is even suspected.
      • More than 50% of women with ovarian cancer are diagnosed in the advanced stages of the disease because no cost-effective screening test for ovarian cancer exists.
      • The five year survival rate for all stages is only 35% to 38%. If, however, diagnosis is made early in the disease, five-year survival rates can reach 90% to 98%.
      • Germ cell tumors of the ovary have a much better prognosis than other ovarian cancers, in part because they tend to grow rapidly to a very large size, hence they are detected sooner.

      5-Year Survival

      • Between 2004 and 2010, the 5-year relative survival of patients with ovarian cancer was 44.6%.[1]
      • When stratified by age, the 5-year relative survival of patients with ovarian cancer was 57.5% and 27.3% for patients <65 and ≥ 65 years of age respectively.[1]
      • The survival of patients with ovarian cancer varies with the stage of the disease. Shown below is a table depicting the 5-year relative survival by the stage of ovarian cancer:[1]
      Stage 5-year relative survival (%), (2004-2010)
      All stages 44.5%
      Localized 92.3%
      Regional 71.7%
      Distant 27.4%
      Unstaged 21.7%
      • Shown below is an image depicting the 5-year conditional relative survival (probability of surviving in the next 5-years given the cohort has already survived 0, 1, 3 years) between 1998 and 2010 of ovarian cancer by stage at diagnosis according to SEER.
      • These graphs are adapted from SEER: The Surveillance, Epidemiology, and End Results Program of the National Cancer Institute.[1]

      5-year conditional relative survival (probability of surviving in the next 5-years given the cohort has already survived 0, 1, 3 years) between 1998 and 2010 of ovarian cancer by stage at diagnosis according to SEER

      References

      1. 1.0 1.1 1.2 1.3 Howlader N, Noone AM, Krapcho M, Garshell J, Miller D, Altekruse SF, Kosary CL, Yu M, Ruhl J, Tatalovich Z,Mariotto A, Lewis DR, Chen HS, Feuer EJ, Cronin KA (eds). SEER Cancer Statistics Review, 1975-2011, National Cancer Institute. Bethesda, MD, http://seer.cancer.gov/csr/1975_2011/, based on November 2013 SEER data submission, posted to the SEER web site, April 2014.


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      Diagnosis

      Diagnosis

      History and Symptoms | Physical Examination | Staging | Laboratory Findings | X Rays | CT | MRI | Echocardiography or Ultrasound | Other Imaging Findings | Other Diagnostic Studies

      Treatment

      Treatment

      Medical Therapy | Surgical | Primary Prevention | Secondary Prevention | Cost-Effectiveness of Therapy | Future or Investigational Therapies

      Case Studies

      Case Studies

      Case #1

      Related Chapters


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