• MeSH
• Biomarkers, Tumor MeSH
• Neoplasms diagnosis   prevention & control   therapy   MeSH

• Conspectus
• Patologie. Klinická medicína
• NML Fields
• onkologie
• NML Publication type
• elektronické časopisy

• MeSH
• Genetic Markers MeSH
• Medical Oncology MeSH
• Neoplasms epidemiology   prevention & control   MeSH
• Publication type
• Periodical MeSH

• Conspectus
• Patologie. Klinická medicína
• NML Fields
• onkologie
• epidemiologie

• MeSH
• Cell Physiological Phenomena drug effects   MeSH
• Pharmaceutical Preparations MeSH
• Biomarkers, Tumor MeSH
• Neoplasms therapy   diagnosis   physiopathology   MeSH
• Publication type
• Collected Work MeSH

• Conspectus
• Biochemie. Molekulární biologie. Biofyzika
• NML Fields
• biochemie
• biologie
• onkologie

• MeSH
• Biological Factors MeSH
• Chemoprevention MeSH
• Biomarkers, Tumor MeSH
• Neoplasms prevention & control   MeSH

• Conspectus
• Lékařské vědy. Lékařství
• NML Fields
• veřejné zdravotnictví
• onkologie
• NML Publication type
• publikace WHO

• MeSH
• Cell Transformation, Neoplastic physiopathology   MeSH
• Biomarkers, Tumor MeSH
• Neoplasms MeSH
• Societies, Medical MeSH
• Research MeSH
• Publication type
• Abstracts MeSH
• Congress MeSH

• Conspectus
• Patologie. Klinická medicína
• NML Fields
• onkologie
• biologie

BACKGROUND: Approximately 20% of women with endometrial cancer have advanced-stage disease or suffer from a recurrence. For these women, prognosis is poor, and palliative treatment options include hormonal therapy and chemotherapy. Lack of predictive biomarkers and suboptimal use of existing markers for response to hormonal therapy have resulted in overall limited efficacy. OBJECTIVE: This study aimed to improve the efficacy of hormonal therapy by relating immunohistochemical expression of estrogen and progesterone receptors and estrogen receptor pathway activity scores to response to hormonal therapy. STUDY DESIGN: Patients with advanced or recurrent endometrial cancer and available biopsies taken before the start of hormonal therapy were identified in 16 centers within the European Network for Individualized Treatment in Endometrial Cancer and the Dutch Gynecologic Oncology Group. Tumor tissue was analyzed for estrogen and progesterone receptor expressions and estrogen receptor pathway activity using a quantitative polymerase chain reaction-based messenger RNA model to measure the activity of estrogen receptor-related target genes in tumor RNA. The primary endpoint was response rate defined as complete and partial response using the Response Evaluation Criteria in Solid Tumors. The secondary endpoints were clinical benefit rate and progression-free survival. RESULTS: Pretreatment biopsies with sufficient endometrial cancer tissue and complete response evaluation were available in 81 of 105 eligible cases. Here, 22 of 81 patients (27.2%) with a response had estrogen and progesterone receptor expressions of >50%, resulting in a response rate of 32.3% (95% confidence interval, 20.9-43.7) for an estrogen receptor expression of >50% and 50.0% (95% confidence interval, 35.2-64.8) for a progesterone receptor expression of >50%. Clinical benefit rate was 56.9% for an estrogen receptor expression of >50% (95% confidence interval, 44.9-68.9) and 75.0% (95% confidence interval, 62.2-87.8) for a progesterone receptor expression of >50%. The application of the estrogen receptor pathway test to cases with a progesterone receptor expression of >50% resulted in a response rate of 57.6% (95% confidence interval, 42.1-73.1). After 2 years of follow-up, 34.3% of cases (95% confidence interval, 20-48) with a progesterone receptor expression of >50% and 35.8% of cases (95% confidence interval, 20-52) with an estrogen receptor pathway activity score of >15 had not progressed. CONCLUSION: The prediction of response to hormonal treatment in endometrial cancer improves substantially with a 50% cutoff level for progesterone receptor immunohistochemical expression and by applying a sequential test algorithm using progesterone receptor immunohistochemical expression and estrogen receptor pathway activity scores. However, results need to be validated in the prospective Prediction of Response to Hormonal Therapy in Advanced and Recurrent Endometrial Cancer (PROMOTE) study.

• MeSH
• Estrogen Receptor alpha metabolism   MeSH
• Estrogen Antagonists therapeutic use   MeSH
• Progression-Free Survival MeSH
• Carcinoma, Endometrioid drug therapy   genetics   metabolism   pathology   MeSH
• Antineoplastic Agents, Hormonal therapeutic use   MeSH
• Immunohistochemistry MeSH
• Aromatase Inhibitors therapeutic use   MeSH
• Response Evaluation Criteria in Solid Tumors MeSH
• Middle Aged MeSH
• Humans MeSH
• Neoplasm Recurrence, Local drug therapy   genetics   metabolism   pathology   MeSH
• RNA, Messenger metabolism   MeSH
• Biomarkers, Tumor metabolism   MeSH
• Endometrial Neoplasms drug therapy   genetics   metabolism   pathology   MeSH
• Progestins therapeutic use   MeSH
• Receptors, Progesterone metabolism   MeSH
• Gene Expression Regulation, Neoplastic genetics   MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Tamoxifen therapeutic use   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

• MeSH
• Biomarkers, Tumor MeSH
• Publication type
• Periodical MeSH

• Conspectus
• Biologické vědy
• NML Fields
• biologie

• MeSH
• MicroRNAs genetics   MeSH
• Molecular Biology MeSH
• Biomarkers, Tumor MeSH
• Neoplasms by Site MeSH
• Polymorphism, Genetic MeSH
• Gene Expression Regulation, Neoplastic MeSH
• Gene Expression Regulation MeSH

• Conspectus
• Biochemie. Molekulární biologie. Biofyzika
• NML Fields
• biologie
• genetika, lékařská genetika
• onkologie
• NML Publication type
• kolektivní monografie

Cíl studie: Popis nových biomarkerů karcinomu děložního hrdla identifikovaných využitím proteomických technik. Typ studie: Přehledový článek. Název a sídlo pracoviště: Lékařská fakulta Hradec Králové, Univerzita Karlova Praha. Porodnická a gynekologická klinika FN Hradec Králové. Metodika: Shrnutí literárních údajů o nových biomarkerech karcinomu děložního hrdla zjištěných pomocí proteomického přístupu. Závěr: Práce sumarizuje výsledky klinických a vědeckých prací zaměřených na biomarkery karcinomu děložního hrdla.

Objective: The purpose of this study was to focus on recent developments in the rapidly evolving field of biomarker discovery and validation techniques using proteomics platform with respect to cervical cancer. Design: Review. Setting: Department of Obstetrics and Gynecology Medical Faculty Charles University Hradec Kralove. Methods: The last decade has seen major changes in the technologies used to identify diagnostic markers for early stages of cervical cancer. Significant advances were achieved in three key areas: protein profilling, multidimensional liquid chromatography combined with cutting edge mass spectrometry and high-throughput validation techniques. These new technologies hold significant promise in identifying more robust, sensitive and specific markers for cervical cancer. Conclusion: The present review summarizes the results of clinical and experimental research on biomarkers of cervical cancer.

• MeSH
• Humans MeSH
• Biomarkers, Tumor analysis   MeSH
• Neoplasm Proteins analysis   MeSH
• Uterine Cervical Neoplasms diagnosis   MeSH
• Proteomics methods   MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Review MeSH

• MeSH
• Biomarkers, Tumor MeSH
• Breast Neoplasms prevention & control   diagnosis   MeSH
• Publication type
• Congress MeSH

• Conspectus
• Patologie. Klinická medicína
• NML Fields
• onkologie