OBJECTIVE: High-grade serous ovarian cancer (HGSOC) accounts for approximately 70% deaths in ovarian cancer. The overall survival (OS) of HGSOC is poor and still remains a clinical challenge. High-grade serous ovarian cancer can be divided into 4 molecular subtypes. The prognosis of different molecular subtypes is still unclear. We aimed to investigate the prognostic values of immunohistochemistry-based different molecular subtypes in patients with HGSOC. METHODS: We analyzed the protein expression of representative biomarkers (CXCL11, HMGA2, and MUC16) of 3 different molecular subtypes in 110 formalin-fixed, paraffin-embedded HGSOC by tissue microarrays. RESULTS: High CXCL11 expression predicted worse OS, not disease-free survival (DFS; P = 0.028 for OS, P = 0.191 for DFS). High HMGA2 expression predicted worse OS and DFS (P = 0.037 for OS, P = 0.021 for DFS). MUC16 expression was not associated with OS or DFS (P = 0.919 for OS, P = 0.517 for DFS). Multivariate regression analysis showed that CXCL11 combined with HMGA2 signature was an independent predictor for OS and DFS in patients with HGSOC. CONCLUSIONS: CXCL11 combined with HMGA2 signature was a clinically applicable prognostic model that could precisely predict an HGSOC patient's OS and tumor recurrence. This model could serve as an important tool for risk assessment of HGSOC prognosis.
OBJECTIVE:High-grade serous ovarian cancer (HGSOC) accounts for approximately 70% deaths in ovarian cancer. The overall survival (OS) of HGSOC is poor and still remains a clinical challenge. High-grade serous ovarian cancer can be divided into 4 molecular subtypes. The prognosis of different molecular subtypes is still unclear. We aimed to investigate the prognostic values of immunohistochemistry-based different molecular subtypes in patients with HGSOC. METHODS: We analyzed the protein expression of representative biomarkers (CXCL11, HMGA2, and MUC16) of 3 different molecular subtypes in 110 formalin-fixed, paraffin-embedded HGSOC by tissue microarrays. RESULTS: High CXCL11 expression predicted worse OS, not disease-free survival (DFS; P = 0.028 for OS, P = 0.191 for DFS). High HMGA2 expression predicted worse OS and DFS (P = 0.037 for OS, P = 0.021 for DFS). MUC16 expression was not associated with OS or DFS (P = 0.919 for OS, P = 0.517 for DFS). Multivariate regression analysis showed that CXCL11 combined with HMGA2 signature was an independent predictor for OS and DFS in patients with HGSOC. CONCLUSIONS:CXCL11 combined with HMGA2 signature was a clinically applicable prognostic model that could precisely predict an HGSOC patient's OS and tumor recurrence. This model could serve as an important tool for risk assessment of HGSOC prognosis.
Authors: Patrick W Underwood; Michael H Gerber; Kathy Nguyen; Daniel Delitto; Song Han; Ryan M Thomas; Christopher E Forsmark; Jose G Trevino; William E Gooding; Steven J Hughes Journal: J Am Coll Surg Date: 2019-10-28 Impact factor: 6.113
Authors: Orestis Tsonis; Fani Gkrozou; Konstantinos Vlachos; Minas Paschopoulos; Michail C Mitsis; Nikolaos Zakynthinakis-Kyriakou; Stergios Boussios; George Pappas-Gogos Journal: Ann Transl Med Date: 2020-12
Authors: J Millstein; T Budden; E L Goode; M S Anglesio; A Talhouk; M P Intermaggio; H S Leong; S Chen; W Elatre; B Gilks; T Nazeran; M Volchek; R C Bentley; C Wang; D S Chiu; S Kommoss; S C Y Leung; J Senz; A Lum; V Chow; H Sudderuddin; R Mackenzie; J George; S Fereday; J Hendley; N Traficante; H Steed; J M Koziak; M Köbel; I A McNeish; T Goranova; D Ennis; G Macintyre; D Silva De Silva; T Ramón Y Cajal; J García-Donas; S Hernando Polo; G C Rodriguez; K L Cushing-Haugen; H R Harris; C S Greene; R A Zelaya; S Behrens; R T Fortner; P Sinn; E Herpel; J Lester; J Lubiński; O Oszurek; A Tołoczko; C Cybulski; J Menkiszak; C L Pearce; M C Pike; C Tseng; J Alsop; V Rhenius; H Song; M Jimenez-Linan; A M Piskorz; A Gentry-Maharaj; C Karpinskyj; M Widschwendter; N Singh; C J Kennedy; R Sharma; P R Harnett; B Gao; S E Johnatty; R Sayer; J Boros; S J Winham; G L Keeney; S H Kaufmann; M C Larson; H Luk; B Y Hernandez; P J Thompson; L R Wilkens; M E Carney; B Trabert; J Lissowska; L Brinton; M E Sherman; C Bodelon; S Hinsley; L A Lewsley; R Glasspool; S N Banerjee; E A Stronach; P Haluska; I Ray-Coquard; S Mahner; B Winterhoff; D Slamon; D A Levine; L E Kelemen; J Benitez; J Chang-Claude; J Gronwald; A H Wu; U Menon; M T Goodman; J M Schildkraut; N Wentzensen; R Brown; A Berchuck; G Chenevix-Trench; A deFazio; S A Gayther; M J García; M J Henderson; M A Rossing; A Beeghly-Fadiel; P A Fasching; S Orsulic; B Y Karlan; G E Konecny; D G Huntsman; D D Bowtell; J D Brenton; J A Doherty; P D P Pharoah; S J Ramus Journal: Ann Oncol Date: 2020-05-28 Impact factor: 51.769