CD44<sup>+</sup> cells have cancer stem cell–like properties in nasopharyngeal carcinoma
Bibliographic record
Abstract
BACKGROUND: A subpopulation of cells within a tumor appears to have the exclusive ability to initiate tumors, self-renew, and differentiate. These "cancer stem cells" (CSCs) are CD44(+) in several epithelial malignancies. We examined the potential of CD44 to identify the CSC population in nasopharyngeal carcinoma (NPC). METHODS: C666, an Epstein-Barr virus-positive (EBV(+) ) human NPC cell line, was stained for CD44 and sorted by fluorescence-activated cell sorting (FACS). CD44(+) and CD44(-) subpopulations were evaluated for (1) proliferative potential, (2) ability to differentiate, (3) expression of markers of epithelial-to-mesenchymal transition (EMT) and EBV genes, and (4) the ability to initiate tumors in vivo. Immunocompromised mice were injected with CD44(+) and CD44(-) populations to assess the tumor-initiating capacity. Immunohistochemistry for CD44 was performed on an 87-patient tissue microarray (TMA), and clinical correlations were examined. RESULTS: Heterogeneous expression of CD44 was seen among C666 cells. CD44(+) cells differentiated into CD44(-) cells, indicating a hierarchical relationship. Further, CD44(+) cells exhibited a more robust tumor-initiating capacity in the xenograft model. However, no differences were seen in proliferation rates in vitro, EBV gene expression, or expression of EMT markers between CD44(+) and CD44(-) subsets. Patient tumors were heterogeneous for CD44 staining, and a trend toward an association between CD44 expression and clinical outcome was observed. CONCLUSION: NPC contains a CD44(+) subpopulation with features consistent with CSCs. There was a trend toward an association between CD44 expression within NPC tumors and decreased time to local failure/relapse in patients.
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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) | 0.000 | 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".