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Record W3182911784 · doi:10.14740/jmc3710

Transformation From Adenocarcinoma to Pleomorphic Carcinoma as an Acquired Resistance to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors

2021· article· en· W3182911784 on OpenAlexvenueno aff
Kanako Nishimatsu, Seigo Minami, Shôichi Ihara, Hironao Yasuoka

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicMetastasis and carcinoma case studies
Canadian institutionsnot available
Fundersnot available
KeywordsGefitinibT790MMedicineErlotinibEpidermal growth factor receptorAdenocarcinomaLung cancerCancer researchCarcinomaTyrosine kinasePathologyCancerInternal medicineReceptor

Abstract

fetched live from OpenAlex

Pulmonary pleomorphic carcinoma is a very rare histological type of primary lung cancer, and usually provides aggressive clinical courses. A 65-year-old Japanese woman was diagnosed by transbronchial biopsy of the primary tumor as c-stage IV (cT4N3M1b) of adenocarcinoma harboring L858R point mutation in the exon 21 of epidermal growth factor receptor (EGFR). She received EGFR tyrosine kinase inhibitors (TKIs) (gefitinib and erlotinib) and subsequently cytotoxic chemotherapies. Gefitinib achieved partial response, but was switched to erlotinib due to elevated serum aspartate transaminase. After resistance to EGFR-TKIs, the second transbronchial re-biopsy revealed pulmonary pleomorphic carcinoma. Both carcinomatous and sarcomatous components retained the L858R mutation, but did not acquire T790M mutation. This case suggested that the histological transformation to pulmonary pleomorphic carcinoma may be one of mechanisms of drug resistance to EGFR-TKIs.

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)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.042
GPT teacher head0.301
Teacher spread0.259 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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