Sharing Experience with Anaplastic Lymphoma Kinase Tyrosine Kinase Inhibitors in Lung Cancer: An Italian Expert Panel Discussion
Bibliographic record
Abstract
BACKGROUND: rearrangements. Different ALK TKI compounds have demonstrated antitumor activity in these patients and are available in clinical practice. However, clinical expertise across countries varies according to local regulatory approval of different drugs, identifying multiple treatment scenarios to comply with international guidelines and clinical practice. METHODS: rearrangement in advanced NSCLC in Italy. The faculty hosting the webinar was composed of eight medical oncologists from different regions of Italy with clinical expertise in treating patients with lung cancer. Live-shared notes were used to produce a report to serve as the basis of a review manuscript on the topic. RESULTS: Alectinib and brigatinib are the preferred front-line treatment options in Italy, pending approval of the front-line medicine lorlatinib, which would be considered among the choices. Due to a local regulatory limitation of second-line lorlatinib, which is not allowed after front-line brigatinib, alectinib is commonly the preferred front-line choice to follow a sequence of alectinib, followed by lorlatinib, followed by platinum plus pemetrexed chemotherapy. Age and performance status were not considered per se as clinical features influencing treatment choice. However, treatment compliance is deemed a relevant factor in decision making with regard to the number of pills to be administered. In general, given the availability of alternative choices, the spectrum of patients' comorbidities and polypharmacotherapy interactions should be taken into account in treatment selection according to the toxicity profile of each compound. In addition, several issues were debated with regard to improving treatment outcomes, including testing, brain metastases, and management of an oligoprogressive disease. CONCLUSIONS: The treatment scenario of ALK-positive disease is dynamically evolving. Furthermore, not all FDA- and EMA-approved compounds are approved in Italy with the same indications. This influences therapeutic opportunities and increases the need for greater clinical expertise to help and guide treatment selection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".