MYB proto-oncogene like 2 promotes hepatocellular carcinoma growth and glycolysis via binding to the <i>Optic atrophy 3</i> promoter and activating its expression
Bibliographic record
Abstract
Optic atrophy 3 (OPA3) is an integral protein of the mitochondrial outer membrane. The current study explored the expression of OPA3 in hepatocellular carcinoma (HCC), its association with the prognosis and its involvement in HCC cell proliferation and aerobic glycolysis. In addition, the transcription factors that activate its expression were screened and validated. Gene expression data in normal liver and liver cancer were acquired from the Genotype-Tissue Expression Project (GTEx) and The Cancer Genome Atlas (TCGA)-Liver Hepatocellular Carcinoma (TCGA-LIHC). Chromatin immunoprecipitation-seq data (GSM1010876) in Cistrome Data Browser was used for searching transcriptional factors binding to the OPA3 promoter. HCC cell lines HLF and JHH2 were used for in-vitro and in-vivo studies. Results showed that OPA3 is significantly upregulated in HCC and associated with unfavorable prognosis. OPA3 knockdown impaired HCC cell growth in vitro and in vivo. Besides, it decreased glucose uptake, lactate production, intracellular ATP levels, and extracellular acidification rate (ECAR) of HLF and JHH2 cells. MYB Proto-Oncogene Like 2 (MYBL2) can bind to the promoter of OPA3 and enhance its transcription. MYBL2 knockdown decreased aerobic glycolysis in HCC cells. OPA3 overexpression reversed these alterations. In conclusion, this study revealed a novel MYBL2-OPA3 axis that enhances HCC cell proliferation and aerobic glycolysis.
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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) | 0.003 | 0.001 |
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".