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Record W2518475173 · doi:10.5539/gjhs.v9n4p251

HPV and the Development of Colorectal Cancer

2016· article· en· W2518475173 on OpenAlexvenueno aff
Mohamad Nidal Khabaz

Bibliographic record

VenueGlobal Journal of Health Science · 2016
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
FundersKing Abdulaziz City for Science and TechnologyKing Abdulaziz University
KeywordsColorectal cancerImmunostainingImmunohistochemistryHuman papilloma virusMedicinePolymerase chain reactionCancerOncologyCancer researchPathologyInternal medicineBiologyCervical cancerGeneGenetics

Abstract

fetched live from OpenAlex

Over the past two decades, many studies reported that around (20%) of the worldwide malignant tumors problem can be related to viral infections. Some publications recently have described a relationship between malignant colorectal tumors and human papilloma virus (HPV), but these findings are still debatable. The purpose of this report is to evaluate the existence of the genetic sequences and the proteins of HPV in the transformed cells of colorectal cancer in Saudi Arabia. Extracted DNA from eighty three archival colorectal tumor samples were examined for HPV DNA types 16 and 18 and their protein products using polymerase chain reaction (PCR) technique in addition to immunohistochemical staining. All colorectal cancer and control cases were found negative for both 16 and 18 HPV types by using PCR. Moreover, immunostaining did not detect any nuclear expression of HPV proteins in all examined cases. Our outcomes supports the statement that HPV is not engaged in the initiation and progression of colorectal carcinomas especially in the Western province of Saudi Arabia.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.421
Teacher spread0.378 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Journal of Health ScienceSame topicCervical Cancer and HPV ResearchFrench-language works237,207