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Record W2981000307 · doi:10.1200/jgo.2019.5.suppl.110

Afatinib as a novel potential treatment option for <i>NRG1</i> fusion-positive tumors.

2019· article· en· W2981000307 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Global Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsWilliam Osler Health SystemUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsAfatinibMedicineOncologyKRASInternal medicineAdenocarcinomaLung cancerEpidermal growth factor receptorColorectal cancerCancerErlotinib

Abstract

fetched live from OpenAlex

110 Background: Neuregulin 1 (NRG1) is a growth factor that binds HER3/4 and activates ErbB signalling pathways. NRG1 gene fusions function as oncogenic drivers and represent a potential therapeutic target across tumour types. Afatinib, an ErbB-family blocker, is a potential treatment option for some patients with NRG1 fusion-positive ( NRG1+) tumours, as supported by preclinical evidence and clinical case reports. Of 13 patients with NRG1+ lung adenocarcinoma (ADC; n = 9), pancreatic ADC (n = 2), cholangiocarcinoma (n = 1), and ovarian cancer (n = 1) treated with afatinib, eight patients achieved a best response of partial response (PR; median duration 7.3 months, range 3–12), three patients had stable disease (SD) and two patients had progressive disease. Methods: Here, we report the clinico-pathological and molecular characteristics and current status of four additional cases of afatinib-treated NRG1+ tumours. Results: Patient 1, 66 year-old female, never-smoker with metastatic non-mucinous lung ADC. CD74-NRG1 fusion was identified, and 5 th -line afatinib initiated. PR is ongoing after 16 months. Patient 2, 43 year-old female, non-smoker with advanced invasive mucinous lung ADC. CD74-NRG1 fusion was identified and 3 rd -line afatinib initiated (PR, 18 months); treatment is ongoing following local progression. Patient 3, 69 year-old male, with KRAS-mutated metastatic colorectal cancer. Following a right hemicolectomy and liver/lung metastasectomies, a novel POMK-NRG1 fusion was detected and afatinib initiated (SD, 4 months). Eight months after initiation, afatinib treatment is ongoing, in combination with radiotherapy, with SD. Patient 4, 54 year-old male, with KRAS-wild-type metastatic pancreatic cancer. Following progression on chemotherapy, APP-NRG1 fusion was detected as part of the Personalized Oncogenomics study (NCT02155621), and afatinib initiated; PR is ongoing after 7 months. Conclusions: These findings add to a growing body of evidence that afatinib is a potential treatment option for patients with NRG1+ tumours. Prospective study is ongoing/planned in the Drug Rediscovery Protocol trial (DRUP; NCT02925234) and Targeted Agent and Profiling Utilization Registry study (TAPUR; NCT02693535).

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

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

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 head0.030
GPT teacher head0.412
Teacher spread0.383 · 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