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Record W3096924944 · doi:10.1101/2020.10.25.20217133

Circulating tumor DNA is readily detectable among Ghanaian breast cancer patients supporting non-invasive cancer genomic studies in Africa

2020· preprint· en· W3096924944 on OpenAlexaff
Samuel Terkper Ahuno, Anna-Lisa Doebley, Thomas U. Ahearn, Joel Yarney, Nicholas Titiloye, Nancy Hamel, Ernest Adjei, Joe-Nat Clegg Lamptey, Lawrence Edusei, Baffour Awuah, Xiaoyu Song, Verne Vanderpuye, Mustapha Abubakar, Máire A. Duggan, Daniel G. Stover, Kofi Nyarko, John M. S. Bartlet, Francis Aitpillah, Daniel Ansong, Kevin Gardner, Felix Andy Boateng, A. Bowcock, Carlos Caldas, William D. Foulkes, Seth Wiafe, Beatrice Wiafe‐Addai, Montserrat García‐Closas, Alexander Kwarteng, Gavin Ha, Jonine D. Figueroa, Paz Polak

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsMcGill UniversityJewish General HospitalOntario Institute for Cancer ResearchUniversity of CalgaryMcGill University Health Centre
FundersMedical Research CouncilUniversity of WashingtonUK Research and InnovationWellcome TrustIcahn School of Medicine at Mount SinaiNational Cancer InstituteNational Institutes of HealthCancer Research UKU.S. Department of Health and Human Services
KeywordsBreast cancerCancerCirculating tumor DNAOncologyInternal medicineMedicinegenomic DNADNADNA sequencingLiquid biopsyPathologyCancer researchBiologyGenetics

Abstract

fetched live from OpenAlex

ABSTRACT Circulating tumor DNA (ctDNA) sequencing studies could provide novel insights into the molecular pathology of cancer in sub-Saharan Africa. ctDNA was readily detected in 15 blood samples collected in Ghana at the time of suspected breast cancer. Genomic alterations previously associated with unfavorable prognostic outcomes were observed in the majority of patients. This supports the use of liquid biopsies for diagnosis, surveillance and clinical management of breast cancer in Ghana.

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)0.002
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.285
Teacher spread0.258 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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