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Record W4322620203 · doi:10.3390/genes14030604

The Developmental Origins of Cancer: A Review of the Genes Expressed in Embryonic Cells with Implications for Tumorigenesis

2023· review· en· W4322620203 on OpenAlexafffund
Savitha Balachandran, Aru Narendran

Bibliographic record

VenueGenes · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversity of Calgary
FundersAlberta Children's Hospital FoundationAmerican College Health FoundationChildren's Hospital Foundation
KeywordsHomeobox protein NANOGBiologyCarcinogenesisSOX2Embryonic stem cellCancer stem cellCellular differentiationEpithelial–mesenchymal transitionCancer researchRex1Cell biologyStem cellGeneCancerGeneticsInduced pluripotent stem cellMetastasis

Abstract

fetched live from OpenAlex

Tumorigenesis, which involves the uncontrolled proliferation and differentiation of cells, has been observed to imitate a variety of pathways vital to embryonic development, motivating cancer researchers to explore the genetic origins of these pathways. The pluripotency gene regulatory network is an established collection of genes that induces stemness in embryonic cells. Dysregulation in the expression genes of the pluripotency gene networks including OCT4, SOX2, NANOG and REX1 have been implicated in tumor development, and have been observed to result in poorer patient outcomes. The p53 pathway is a highly important regulatory process in a multitude of cell types, including embryonic, and the tumor suppressor gene TP53 is widely regarded as being one of the most important genes involved in tumorigenesis. Dysregulations in TP53 expression, along with altered expression of developmentally originating p53 regulators such as MDM2 and MDM4 have been implicated in various cancers, leading to poorer prognosis. Epithelial–mesenchymal transition (EMT), the process allowing epithelial cells to undergo biochemical changes to mesenchymal phenotypes, also plays a vital role in the fate of both embryonic and neoplastic cells. Genes that regulate EMT such as Twist1, SOX9 and REX1 have been associated with an increased occurrence of EMT in cancer cells, leading to enhanced cell stemness, proliferation and metastasis. The class of RNA that does not encode for proteins, known as non-coding RNA, has been implicated in a variety of cellular processes and emerging research has shown that its dysregulation can lead to uncontrolled cell proliferation and differentiation. Genes that have been shown to play a role in this dysregulation include PIWIL1, LIN28A and LIN28B, and have been associated with poorer patient outcomes and more aggressive cancer subtypes. The identification of these developmentally regulated genes in tumorigenesis has proved to play an advantageous role in cancer diagnosis and prognosis, and has provided researchers with a multitude of new target mechanisms for novel chemotherapeutic research.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.052
GPT teacher head0.360
Teacher spread0.308 · 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

Citations29
Published2023
Admission routes2
Has abstractyes

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