A153 PYCRL LACTYLATION AS A POTENTIAL REGULATOR OF CANCER STEM CELL METABOLISM IN ESOPHAGEAL SQUAMOUS CELL CARCINOMA (ESCC)
Bibliographic record
Abstract
Abstract Background Patients with esophageal malignancy have a 5-year survival rate of only 14% in Canada. This high mortality rate is due to three factors: late diagnosis, difficulty in surgically removing the tumor because of its localization, and treatment resistance. Resistance can be developed after prolonged exposure to anti-cancer drugs and/or radiation. Indeed 30% of patients will not respond to treatment or will relapse. Resistance has been mainly ascribed to the presence of cancer stem cells (CSCs) inside the tumor. However, no treatment specifically directed against CSCs is available to patients. Purpose Thus, targeting CSCs is a promising strategy to improve the survival of patients with esophageal squamous cell carcinoma (ESCC), the most common type of esophageal cancer worldwide. Therefore, a better understanding of the molecular mechanisms occurring during long-term exposure to cancer treatments is imperative. Method Herein, we developed an unbiased approach to identify new players in chemotherapy and radiotherapy resistance development in ESCC. We established radio- (R), chemo- (C), and radiochemo-resistant (RC) human ESCC cell lines using prolonged exposure to radiation and/or chemotherapeutic agent 5-FU, respectively. Result(s) The enrichment in CSCs in all treated cell lines was demonstrated by an increase of ALDH1high cells and CD24high/CD44high cells in flow cytometry. We then used a proteomic approach to identify new players in treatment resistance. Interestingly, pathway analysis pointed out to alterations in energy metabolism as well as amino acid metabolism. Seahorse assays showed that resistant cell lines have a lower respiration rate than control cells, while glycolysis remains unchanged. To further characterize these metabolic changes, we performed an unbiased metabolomic study and confirmed a decrease in amino acid levels such as proline, in resistant cell lines. Recently, metabolic regulation has been linked to a new post-translational modification, lactylation. Proteomic data were re-analyzed looking for lactylated protein and found, amongst others, PYCRL, an enzyme implicated in proline biosynthesis, as one of the most differentially lactylated proteins in treated cell lines compared to control. PYCRL lactylation was confirmed using immuno-fluorescence colocalization and immuno-precipitation. Lastly, using AlphaFold, preliminary results point toward the importance of PYCRL lactylation impairing PYCRL homomultimerization. Conclusion(s) To conclude, our results suggest an important role of proline metabolism following long-term treatment in ESCC. This study is a first step toward the identification of new targets to fight treatment resistance in ESCC patients. Please acknowledge all funding agencies by checking the applicable boxes below CAG, CIHR, Other Please indicate your source of funding; FRQ Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".