The significance of mitochondrial DNA changes during the onset and progression of head and neck squamous cell carcinoma
Bibliographic record
Abstract
Mitochondrial DNA (mtDNA) is integral to cellular function. Alterations in mtDNA can lead to significant disruptions in mitochondrial function, including cellular energy production, metabolism, and apoptosis regulation. Mitochondrial dysfunction has emerged as a crucial factor in the progression of cancer, including head and neck squamous cell carcinoma (HNSCC). Based on a literature search conducted from August 2024 to March 2025 on PubMed and Google Scholar, our review summarizes the relevance of mtDNA alterations in HNSCC development. HNSCC has been found to cause significant variations in mtDNA, including mutations, copy number variations (or known as mtDNA content) and large-scale deletions. Notably, these alterations varied by disease stage, different key aspects of mitochondrial function, such as cellular growth, senescence, metabolism and apoptosis, and cell-specific genetic context. We further suggest that drugs that modulate mitochondrial pathways, mitochondrial transplantation, and gene-editing technologies, are future treatment strategies for HNSCC. Lastly, we discuss the potential of co-roles of nuclear DNA mutations with mtDNA alterations in HNSCC to provide a holistic view of HNSCC pathogenesis and the possibility for combined therapeutic strategies in HNSCC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".