Functional role of cancer stem cell like exosomes on survival and drug resistance behaviors of colorectal cancer cells
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: This study aimed to evaluate the potential impact of colorectal cancer stem cell exosomes (CRC CSCs-enriched exosomes/CSCs-EXOs) on drug resistance and cell proliferation of CRC tumor cells. METHODS: CSCs were enriched from HT-29 cells and characterized by sequential sphere formation, real-time PCR analysis of key stemness genes, and CRC-CSCs markers. The gene expression related to ABC transporters was analyzed in HT-29, HT-29 CSCs, and Caco-2 cells. CSCs-EXOs and parental-EXOs were isolated and characterized from HT-29 cells. The gene expression related to ABC transporters was investigated in Caco-2 cells treated with CSCs-EXOs and parental-EXOs of HT-29 cells by real-time PCR. The survival rate of exosome-treated Caco-2 cells was also studied in the presence of 5-fluorouracil (5-FU) at the IC50 concentration using MTT assay. RESULTS: Colonospheres were found to have the ability to form serial spheres, along with the upregulatation of the key stemness genes (p-value ≤ 0.05). The expression of CRC-CSCs markers significantly increased relative to their parental counterparts (p-value ≤ 0.05). Treatment of Caco2 cells with CSCs-EXOs and their parental-EXOs revealed a substantial elevation in expression of drug resistance genes relative to those treated with their parental-EXOs (p-value ≤ 0.0001). The combination treatment of cells with exosomes and 5-FU at the IC50 concentration led to a more pronounced decrease in cell viability in all groups compared to applying 5-FU at the same concentration. CONCLUSION: Our findings underscore the significance of targeting the CSCs-exosome axis as a prospective therapeutic strategy to overcome drug resistance. Upcoming studies ought to concentrate on exploring the molecular machinery of CSCs and tumor cells plasticity through the exosome-mediated functions.
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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) | 0.000 | 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 it