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Record W4411624526 · doi:10.3390/curroncol32070370

Unveiling ctDNA Response: Immune Checkpoint Blockade Therapy in a Patient with POLE Mutation-Associated Early-Onset Colon Cancer

2025· article· en· W4411624526 on OpenAlexvenueno aff
Ramya Ramachandran, Marisa Cannon, Supriya Peshin, Madappa N. Kundranda, Aaron J. Scott

Bibliographic record

VenueCurrent Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsnot available
FundersUniversity of Arizona
KeywordsColorectal cancerMedicineImmune checkpointCancerMalignancyBlockadeCancer researchIncidence (geometry)Microsatellite instabilityOncologyInternal medicineImmunotherapyGeneticsBiologyGeneReceptorAllele

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) is the third most common malignancy worldwide and the second leading cause of cancer-related mortality in the United States. The incidence of early-onset colorectal cancer (EOCRC) has been increasing over the past several decades. While the etiologies for this rising incidence remain unclear, genetic factors likely play an important role. DNA polymerase epsilon (POLE) mutations occur at a higher rate than average-onset colorectal cancer (AOCRC). DNA polymerase epsilon (Pol ε) is a high-fidelity, processive polymerase that is a promising target for immune checkpoint inhibitors due to its association with various human malignancies, including colorectal cancer. EOCRC remains a major area of focus, and POLE mutations leading to the high-TMB subtype constitute a potential therapeutic target.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.342
Teacher spread0.320 · 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 designCase report
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

Citations2
Published2025
Admission routes1
Has abstractyes

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