Positive Correlation of Oct4 and ABCG2 to Chemotherapeutic Resistance in CD90 <sup>+</sup> CD133 <sup>+</sup> Liver Cancer Stem Cells
Bibliographic record
Abstract
Liver cancer is one of the most common tumors worldwide and drug resistance is a major obstacle to successful therapy. The growing data show that cancer stem cells (CSCs), a rare subpopulation of cancer cells, might be an important mechanism of drug resistance. To explore the self-renewal ability and chemotherapy resistance in liver CSCs, we enriched CD90(+)CD133(+) hepatocellular carcinoma (HCC) CSCs using sphere formation, which was accomplished by cultivating HCC CSCs from established HCC cell lines (HepG2 line and Hep3B line). Cell proliferation capacity was detected using colony formation assays, and cell activity was detected using methyl thiazolyl tetrazolium (MTT) assays after doxorubicin treatment. Expression of CD90, CD133, Oct4, and ABCG2 mRNA and protein levels was detected by PCR and western blot, respectively, which showed that these genes were significantly overexpressed in liver CSCs compared to parental cells (p<0.05). Oct4 and ABCG2 are highly expressed in enriched CD90(+)CD133(+) liver CSCs and are closely associated with chemotherapy drug resistance. We postulated that liver CSCs maybe the cause of high recurrence in liver cancer.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".