Establishment and Characterization of Primary Human Ovarian Cancer Stem Cell Line (CD44+ve)
Bibliographic record
Abstract
Ovarian cancer is ranked as the 7th most lethal cancer worldwide with 239,000 new cases annually. The mortality rate is high because most ovarian tumors are diagnosed at advanced stages and are resistant to chemotherapy and thus incurable due to the lack of effective early detection of ovarian tumors. There is a small sub-population of ovarian tumor cells capable of self-renewal and differentiation into different cancer cell types, called cancer stem cells (CSCs), which might be responsible for cancer relapse. The CD44+ phenotype in ovarian tumor cells elucidates cancer initiating cell-like properties of promoting differentiation, metastasis, and chemotherapy-resistance. Increased expression of genes previously associated with CSCs promotes regenerative capacity by promoting stem cell function that can drive cancer relapse and metastasis. In this study we present a method to isolate the primary epithelial ovarian cancer cells from human solid tumor and establish CD44+ve primary ovarian cancer stem cell (OCSCCD44+ve) line using magnetic microbeads. Also we evaluated the expression of stemness genes Nanog, Sox2, Oct4, and Nestin by real-time qPCR analysis. Thequantitative analysis by real-time qPCRshows that OCSCCD44+ve overexpressed the embryonic stem cell marker genes Nanog, Oct4, Sox2, and Nestin when compared with ovarian cancer cells OCCCD44-ve as positive control and ovarian cells as negative control. We demonstrate that CD44 in malignant ovarian tumors is a critical molecule that exhibits cancer stem cell properties that enhance tumorigenicity and cancer metastasis. Our results provide a better understanding of ovarian CSCs, which is important for future in vivo studies with subsequent target therapy for preclinical studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".