MétaCan
Menu
Back to cohort
Record W4405949153 · doi:10.30683/1929-2279.2024.13.11

Metachronous Breast and Lung Cancers in a Middle-Aged Woman with Peutz-Jeghers Syndrome

2024· article· en· W4405949153 on OpenAlexvenueno aff
Kenji Ina, Mikinori Miyazaki, Tomoko Nishio, Yuko Kato, Satoshi Kayukawa, Takae Kataoka, Katsuhiko Endo, Tomoki Fukuoka

Bibliographic record

VenueJournal of cancer research updates · 2024
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLungPeutz–Jeghers syndromeDermatologyInternal medicine

Abstract

fetched live from OpenAlex

We report the case of a middle-aged woman with Peutz-Jeghers syndrome who developed metachronous breast and lung cancers, because lung cancer is infrequently associated with PJS, especially for women with this disorder. At the age of 12 years, the patient was diagnosed with Peutz-Jeghers syndrome owing to the presence of multiple hamartomatous polyps in the gastrointestinal tract and mucocutaneous melanin pigmentation. She developed breast cancer and underwent curative mastectomy and postoperative adjuvant chemotherapy at 48 years of age. Five years later, computed tomography showed multiple lung nodules. The pathological diagnosis of the lung lesion was a mucinous adenocarcinoma, which differed from that of the resected breast cancer. She then received cisplatin/ pemetrexed therapy combined with pembrolizumab for non-small cell lung cancer, which reduced the size of the lung tumors. However, the disease eventually progressed, and she underwent a gene panel test because of the refractoriness to pharmacotherapy, which demonstrated a germline STK11 pathogenic variant.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.160
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.385
Teacher spread0.341 · 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 teacher head, 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of cancer research updatesSame topicGenetic factors in colorectal cancerFrench-language works237,207