Morphological and molecular characterization of epithelial ovarian cancer: SEOM-SEAP consensus guidelines for biomarker integration in clinical practice.
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| Title: | Morphological and molecular characterization of epithelial ovarian cancer: SEOM-SEAP consensus guidelines for biomarker integration in clinical practice. |
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| Authors: | Matheu G; Pathological Anatomy Service, Son Espases University Hospital, Palma, Spain. gmatheu@ssib.es., Bermejo-Peréz MJ; Medical Oncology Department, Virgen de la Victoria University Hospital, IBIMA, Málaga, Spain., Escudero-García N; Pathological Anatomy Service, Pontevedra University Hospital Complex, Pontevedra, Spain., Garcia-Duran C; Medical Oncology Department, Gynecological Cancer Program, Vall d'Hebron University Hospital (HUVH) Campus, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain., Gatius-Caldero S; Pathological Anatomy Service, Arnau de Vilanova University Hospital of Lleida, IRB Lleida, University of Lleida, Lleida, Spain., Guerra-Alía E; Medical Oncology Department, Hospital Universitario Ramón y Cajal and IRYCIS, Madrid, Spain., López-Agullo S; Pathological Anatomy Service, La Fe University and Polytechnic Hospital, Valencia, Spain., Romero I; Medical Oncology Department, IVO, Valencia, Spain., Yange G; Pathological Anatomy Service, Marqués de Valdecilla University Hospital, Santander, Spain., Barretina-Ginesta MP; Medical Oncology Department, Institut Català d'Oncologia & IDIBGI-CERCA, Girona, Spain. mpbarretina@iconcologia.net. |
| Source: | Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico [Clin Transl Oncol] 2026 May 12. Date of Electronic Publication: 2026 May 12. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Italia Country of Publication: Italy NLM ID: 101247119 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1699-3055 (Electronic) Linking ISSN: 1699048X NLM ISO Abbreviation: Clin Transl Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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