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Record W2923871137 · doi:10.6004/jnccn.2018.7184

CLO19-033: Afatinib Followed by Osimertinib in EGFR Mutation-Positive (EGFRm+) Advanced NSCLC: Subgroup Analyses of the GioTag Study by ECOG PS, Age, and Ethnicity

2019· article· en· W2923871137 on OpenAlexaff
Balázs Halmos, Maximilian J. Hochmair, Alessandro Morabito, Desirée Hao, Cheng‐Ta Yang, Ross A. Soo, James Chih‐Hsin Yang, Rasim Gucalp, Lara Wang, Angela Märten, Tanja Čufer

Bibliographic record

VenueJournal of the National Comprehensive Cancer Network · 2019
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAfatinibMedicineOsimertinibT790MDiscontinuationInternal medicineOncologyClinical trialErlotinibCancerEpidermal growth factor receptorGefitinib

Abstract

fetched live from OpenAlex

Background: EGFR TKIs have shown first-line efficacy in EGFRm+ NSCLC but acquired resistance is inevitable; with afatinib, this is predominantly through the emergence of T790M. Therefore, a key consideration when assessing therapeutic choices is the availability of subsequent treatment options. The GioTag study (NCT03370770) is the first to assess outcomes of real-world patients (Pts) who received first-line afatinib followed by osimertinib; for pts with EGFRm+ NSCLC and acquired T790M this sequence resulted in a median time on treatment (ToT) of 27.6 months, which did not include chemotherapy. We present subgroup analyses of pts from the GioTag study who are under-represented in randomized controlled trials (RCTs) and assess the impact of afatinib treatment on ECOG PS. Methods: The GioTag study is an observational, multicenter study. Data were collected retrospectively (Dec 2017–May 2018). Pts had EGFRm+ (Del19/L858R) advanced NSCLC and acquired T790M after first-line afatinib. Pts completed afatinib and started osimertinib treatment ≥10 months before data entry to avoid early censoring and ensure mature data collection. Patient subgroups were defined based on baseline characteristics (eg, ECOG PS, age, ethnicity). The primary outcome was ToT from afatinib initiation to osimertinib discontinuation. Results: A total of 204 pts were included in the GioTag study: 15.2% had ECOG PS ≥2; 7.4% were aged ≥75 years; 8.8% were African-American. Pts generally considered to have a poor prognosis derived clinical benefit from the afatinib–osimertinib sequence: median ToT for pts with ECOG PS ≥2 (n=31) was 22.2 months (90%CI 16.0–27.0; vs pts with ECOG PS 0/1 [n=153; 31.3 months; 27.6–44.5] P<.001); and for pts aged ≥75 years (n=15), ToT was 19.9 months (9.7–not evaluable [NE]; vs pts aged <75 years [n=189; 28.1 months; 26.6–31.3] P=.382). In African-American pts, median ToT was 27.6 months (90%CI 24.7–NE). Of 180 pts with available data, 75.0% had no change or an improvement in ECOG PS from the start of afatinib to the start of osimertinib treatment; 24.4% of pts had a deterioration in ECOG PS by 1 step and 0.6% of pts had a deterioration by 2 steps. Conclusions: First-line afatinib followed by osimertinib is a feasible therapeutic strategy in pts with EGFRm+ NSCLC and acquired T790M, including those who are often under-represented in RCTs. Clinical benefit (measured by ToT) was seen among pts with poor prognosis (ECOG PS ≥2), pts aged ≥75 years, and African-American pts.

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)0.006
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.010
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.389
Teacher spread0.356 · 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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