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Fanconi anemia and risk of diverse types of cancer: An overview

2023· article· en· W4381058441 on OpenAlexaboutno aff
Bintoo Sharma, Ranjeet Kumar, Harsh Tyagi, Nikita Khera, Megha Bajaj

Bibliographic record

VenuePharmaspire · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
FundersIsrael Science Foundation
KeywordsFanconi anemiaCancerAnemiaMedicineComputational biologyBiologyGeneticsInternal medicineDNADNA repair

Abstract

fetched live from OpenAlex

Fanconi anemia (FA) is a rare genetic disorder caused by a mistake in DNA repair that results in a variety of clinical signs and symptoms with varied incidence, most notably progressive bone marrow loss (depending on the affected gene), congenital abnormalities, and a propensity for malignancy. Cancer-prone FA is an unusual condition caused by alterations in at least 22 genes. DNA repair, in particular interstrand DNA crosslink (ICL) repair, is associated with the FA pathway. Cellular susceptibility to DNA cross-linking substances like diepoxybutane is a feature of FA. The report was mailed to 34 Fanconi Canada participants in August 2000 who also had FA confirmed by chromosomal breakage. FA is more prevalent among Spanish Gypsies, Afrikaners, and Ashkenazi Jews in addition to being more prevalent among Ashkenazi Jews. The bone marrow failure of FA can be effectively treated with androgens and hematological growth factors, but the majority of patients develop resistance to these medications. Hematopoietic stem cell transplantation is an option for these patients if a donor is available.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.333
Teacher spread0.301 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2023
Admission routes1
Has abstractyes

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