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Record W4401777083 · doi:10.21037/jgo-24-323

PLK1 and its role in the evolving landscape of KRAS-mutated colorectal cancer

2024· letter· en· W4401777083 on OpenAlexaff
Harry Harvey, Eric Xueyu Chen

Bibliographic record

VenueJournal of Gastrointestinal Oncology · 2024
Typeletter
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineKRASColorectal cancerCancer researchCancerOncologyInternal medicine

Abstract

fetched live from OpenAlex

Rat sarcoma virus (RAS) consists a family of membranebound proteins with GTPase activity.They derive their name from the RAS and initial studies were carried out in the 1960s by Drs.Jennifer Harvey and Werner H. Kirsten, where they induced sarcomas in rodents using a murine leukemogenic virus preparation (1,2).The RAS family of proteins includes three GTPases: Harvey (HRAS), Kristen (KRAS) and neuroblastoma (NRAS) homologues encoded by the corresponding RAS genes.Under normal circumstances, RAS proteins play a central and interconnected role in regulating intracellular signalling, intrinsic to normal physiological cellular proliferation, growth and survival through the RAS-RAF-MEK-ERK mitogen-activated protein kinase (MAPK) signalling pathway (Figure 1).Mutations in the RAS-RAF-MEK-ERK pathway genes can result in activation of the pathway leading to unchecked cellular proliferation and oncogenesis.Dysregulation of this pathway occurs very commonly in cancers, with somatic mutations in KRAS being found in roughly 30% of all cancers globally, including in lung (30%), colorectal cancer (CRC) (45%), cholangiocarcinoma (15-50%) and pancreatic cancer (>80%) (3).Owing to the complexity and interconnectedness of the pathway, KRAS and other RAS isoforms were long considered to be "undruggable" and have eluded efforts at targeting with inhibitors until very recently.RAS proteins bind to guanosine diphosphate (GDP) and guanosine triphosphate (GTP) with high affinity.Hydrolysis of GTP to GDP switches RAS from its "active" to its "inactive" state.RAS proteins have an intrinsic GTPase activity, effectively leading them to be self-inactivating.Mutations in RAS result in a loss of this intrinsic GTPase activity, leaving the RAS protein in an activated GTPbound state and persistent stimulation of the downstream signalling cascade.Efforts at targeting RAS have been multimodal, including direct targeting of the mutated RAS protein and effectors in the downstream signalling cascade. Rationale for targeting KRAS in cancerThe rationale for targeting KRAS in cancer therapy stems from the knowledge of its distinct role in tumorigenesis.Preclinical studies have demonstrated that both primary and metastatic pancreatic cancers depend on sustained KRAS activity (4) and that transgenic mice that express KRAS V12G develop intestinal lesions including invasive adenocarcinoma (5).These findings, combined with the fact that mutations in KRAS are seen in approximately 30% of all cancers, make a strong argument for KRAS directed therapy.

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)0.006
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0110.009
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 head0.020
GPT teacher head0.308
Teacher spread0.288 · 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
GenreEditorial

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

Citations2
Published2024
Admission routes1
Has abstractno

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