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Record W4408869871 · doi:10.26685/urncst.722

The Cytidine Deaminase-Dependent and Independent Effects of APOBEC3A in Head and Neck Squamous Cell Carcinoma: A Literature Review

2025· review· en· W4408869871 on OpenAlexaff
Parth Arora, Florence Deng, Aditya Misra

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2025
Typereview
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCytidine deaminaseCytidineHead and neckHead and neck squamous-cell carcinomaOncologyChemistryInternal medicineMedicineCancer researchHead and neck cancerEnzymeBiochemistryRadiation therapySurgery

Abstract

fetched live from OpenAlex

Introduction: Head and neck squamous cell carcinoma (HNSCC) is a prevalent and aggressive cancer affecting mucosal linings, with increasing incidence in younger populations. Risk factors include tobacco, alcohol, and human papillomavirus (HPV) infection. Current treatments often result in significant side effects and limited success in preventing recurrence and metastasis. This study investigates the role of APOBEC3A, a cytidine deaminase, in HNSCC tumorigenesis, focusing on both deaminase-dependent and independent mechanisms. Methods: A systematic literature review was conducted, searching PubMed, Web of Science, Embase, and Cochrane Library databases for relevant studies published between 2013 and 2024. Key terms included "APOBEC3A," "cytidine deaminase," "cancer," and "oncogenesis." Articles involving experimental studies with human tumor samples, in vitro and in vivo models, and clinical studies were included. Data were extracted on study design, methods, and findings related to APOBEC3A's role in HNSCC. Results: APOBEC3A contributes to HNSCC through deaminase-dependent mechanisms, inducing C-to-T and C-to-G mutations, particularly in TP53 and PIK3CA genes, which are associated with tumor progression and resistance to therapies. Additionally, APOBEC3A's interaction with HPV further exacerbates genetic instability, leading to more aggressive tumor behavior. Deaminase-independent roles include modulation of the tumor microenvironment, influencing immune cell interactions and promoting immune evasion through cytokine production and PD-L1 expression. Discussion: APOBEC3A's dual roles in HNSCC highlight its significance in both promoting oncogenic mutations and modulating immune responses. The enzyme's activity not only contributes to tumorigenesis through direct genetic alterations but also indirectly by creating a favorable environment for tumor growth and survival. Conclusion: This study underscores the critical role of APOBEC3A in the pathogenesis of HNSCC and the need for targeted therapies addressing both its enzymatic and non-enzymatic functions. Future research should explore therapeutic strategies that inhibit APOBEC3A's activity and counteract its contributions to immune evasion and tumor progression.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0160.016
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.046
GPT teacher head0.445
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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