Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
J Obstet Gynaecol India ; 74(3): 236-242, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38974750

ABSTRACT

Backgrounds: Ovarian cancer is a deadly women cancer with many chemoresistance after standard treatment. Ovarian cancer tissues' CD44+/CD24- (CSCs), RAD6 overexpression and DDB2 underexpression are associated with chemoresistance, recurrence, and poor prognosis of the disease because of the existence of cancer stem cells (CSCs). We tried to analyze the expression of those three proteins while building a predictor scoring system to predict the ovarian cancer chemoresistance from the ovarian cancer tissue immunohistochemistry. Materials and Methods: We conducted a cohort study of 64 patients divided into two groups (32 patients in each group) at the Cipto Mangunkusumo, Tarakan, Dharmais, and Fatmawati Hospital which are located in Jakarta city, Indonesia. The patients underwent cytoreductive debulking and histopathological examination continued by six series of chemotherapy followed by six months of observation. We divided the groups into chemoresistant and chemosensitive by using Response Criteria in Solid Tumors (RECIST) criteria. Ovarian cancer tissue immunohistochemistry tests were then performed to count the CSCs, RAD6 and DDB2 expressions. Results: We found relationship between increased CSCs, RAD6 and reduced DDB2 (p < 0.05) expression in ovarian cancer tissue with the chemoresistance. A possible predictor scoring system named IHC-UNEDO scoring was built to aid the ovarian cancer chemoresistance prediction. Conclusions: The conclusion is that CSCs, RAD6 and DDB2 expressions are significantly associated with ovarian cancer chemoresistance, and IHC-UNEDO scoring should be considered as a tool to predict ovarian cancer chemoresistance.

2.
J Egypt Natl Canc Inst ; 34(1): 44, 2022 Oct 24.
Article in English | MEDLINE | ID: mdl-36274112

ABSTRACT

BACKGROUND: The conventional standard treatment for ovarian cancer is not very effective, and the disease is fatal for women. Cancer Stem Cells (CSCs) that express CD44+/CD24- can contribute to chemoresistance and a poor prognosis. We seek to investigate the expression of CSCs (CD44+/CD24-) in ovarian cancer and their predictive significance. METHODS: The ambispective cohort was performed on 64 patients (32 patients in each group) at four hospitals (Cipto Mangunkusumo, Tarakan, Fatmawati, and Dharmais Hospital). Debulking surgery was performed on the patients, followed by histopathological analysis. The patients had six rounds of chemotherapy and were under monitoring for six months. The therapeutic responses were evaluated using the RECIST criteria (Response Criteria in Solid Tumors) and categorized as chemoresistant or chemosensitive. Using immunohistochemistry, we directly assess the CSCs from ovarian cancer tissue and using flow cytometry to assess the CSCs from the blood. RESULTS: High CSCs expression and ovarian cancer chemoresistance were significantly related in both trials (p 0.05). A better outcome was obtained using CD44+/CD24- immunohistochemistry. CONCLUSIONS: We conclude that there is a substantial association between high CSCs expression and chemoresistance in ovarian cancer and that CSCs immunohistochemistry has a higher predictive value.


Subject(s)
Carcinoma, Ovarian Epithelial , Drug Resistance, Neoplasm , Ovarian Neoplasms , Female , Humans , Biomarkers, Tumor/genetics , Biomarkers, Tumor/metabolism , Carcinoma, Ovarian Epithelial/genetics , Carcinoma, Ovarian Epithelial/metabolism , Carcinoma, Ovarian Epithelial/pathology , Carcinoma, Ovarian Epithelial/therapy , CD24 Antigen/genetics , CD24 Antigen/metabolism , Drug Resistance, Neoplasm/genetics , Flow Cytometry , Hyaluronan Receptors/genetics , Hyaluronan Receptors/metabolism , Immunohistochemistry , Neoplastic Stem Cells/metabolism , Ovarian Neoplasms/drug therapy , Ovarian Neoplasms/genetics , Ovarian Neoplasms/metabolism , Ovarian Neoplasms/pathology , Prognosis , Gynecologic Surgical Procedures/methods , Antineoplastic Agents/therapeutic use
3.
Gynecol Oncol Rep ; 42: 101005, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35707599

ABSTRACT

Backgrounds: Ovarian cancer is the 8th deadliest common cancer in women around the world. Almost all ovarian cancer patients would experience chemoresistance, recurrence, and poor prognosis after cytoreductive surgery and platinum-based chemotherapy. Chemoresistant cancer cells have characteristic expressions of cancer stem cell proteins (CSCs) CD44+/CD24-, RAD6 and DDB2. The increased expression of CD44+/CD24-, RAD6, and decreased DDB2 are believed to be associated with chemoresistance, recurrence, and poor prognosis of the disease. Thus, this study's objective is to analyze the correlation between the expression of CD44+/CD24-, RAD6 and DDB2 with ovarian cancer chemoresistance. Materials and methods: This study was conducted with a prospective cohort of 64 patients who is divided into two groups (32 patients in each group) at the Obstetrics-gynecology and pathology department of Cipto Mangunkusumo, Tarakan, Dharmais, and Fatmawati Hospital. All suspected ovarian cancer patients underwent cytoreductive debulking and histopathological examination. Chemotherapy was given for six series followed by six months of observation. After the observation, we determined the therapy's response with the RECIST Criteria (Response Criteria in Solid Tumors) and then classified the results into chemoresistant or chemosensitive groups. Flow cytometry blood tests were then performed to examine the expression of CD44+/CD24-, RAD6 and DDB2. Results: There was a significant relationship between increased levels of CD44+/CD24-, and RAD6 (p < 0.05) levels with the chemoresistance of ovarian cancer. The logistic regression test showed that the CD44+/CD24- was better marker. Conclusions: These results indicate that CD44+/CD24 and RAD6 expressions are significantly associated with ovarian cancer chemoresistance, and CD44+/CD24- is the better marker to predict ovarian cancer chemoresistance.

SELECTION OF CITATIONS
SEARCH DETAIL
...