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Record W2992042314 · doi:10.1080/24701394.2019.1695788

An A10398G mitochondrial DNA alteration is related to increased risk of breast cancer, and associates with Her2 positive receptor

2019· article· en· W2992042314 on OpenAlexaff
Mohammad Jahani, Azita Azimi Meibody, Talie Karimi, Mohammad Mehdi Banoei, Massoud Houshmand

Bibliographic record

VenueMitochondrial DNA Part A · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMitochondrial DNABreast cancerBiologyCancerMalignancyCancer researchLung cancerMitochondrionGeneticsInternal medicineMedicineGene

Abstract

fetched live from OpenAlex

Breast cancer is the most common malignancy and the second leading cause of cancer deaths among women worldwide after lung cancer. Mitochondria play a central role in the regulation of cellular function, metabolism, and cell death in cancer cells. We aim to examine the mitochondrial polymorphisms of complex I in association with breast cancer in an Iranian cohort.This experimental study includes 53 patients with breast cancer and 35 healthy control patients. In addition, tumor-adjacent normal breast tissue was obtained from each patient. The DNA of the tissue cells was extracted and analyzed for complex I mutations using a PCR sequencing method. Our results show 94 mtDNA complex I variants in tumor tissues. A10398G was the most prevalent polymorphism and strongly correlated with Her2 receptor in tumor tissue samples. Mitochondrial DNA (mtDNA) mutations have been widely linked to the etiology of numerous disorders. The mtDNA mutations screening on A10398G along with other mutations might provide insight on the role of mitochondrial mutations in breast cancer.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.230
Teacher spread0.225 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations11
Published2019
Admission routes1
Has abstractyes

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