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Record W2913970282 · doi:10.14740/jmc.v10i2.3249

Altered PD-L1 Expression in Non-Small Cell Lung Cancer Patient After Induction Chemotherapy: A Case Report

2019· article· en· W2913970282 on OpenAlexvenueno aff
Fadi Nasr, Ahmad Al Ghoche, Saada Diab, Souheil Hallit, Moussa Riachi

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunotherapyChemotherapyLung cancerPD-L1OncologyModalitiesInternal medicineTreatment modalityCancer

Abstract

fetched live from OpenAlex

Targeting the immune checkpoint of programmed death ligand 1 (PD-L1) and programmed cell death protein 1 (PD-1) with immunotherapy has improved the treatment of many tumors including non small cell lung cancer (NSCLC). Checking PD-L1 status must be done during the course of therapy. Changes of PD-L1 status with therapy have been described in several cancer subtypes with different treatment modalities including chemotherapy and immunotherapy. Here we present a case report of a locally advanced squamous lung carcinoma patient presenting a decrease of PD-L1 level after chemotherapy. This case will be added to the few reports describing such changes in PD-L1 expression after different treatment modalities. More data are needed to understand the underlying mechanisms and its treatment implications. J Med Cases. 2019;10(2):62-65 doi: https://doi.org/10.14740/jmc3249

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)0.002
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0060.004
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 head0.015
GPT teacher head0.299
Teacher spread0.285 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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