Treating anaplastic lymphoma kinase (ALK) fusion-driven metastatic non-small cell lung cancer (NSCLC) with alectinib through pregnancy
Bibliographic record
Abstract
Management of cancer during pregnancy requires careful consideration of risks and benefits from maternal and fetal perspectives. For advanced lung adenocarcinomas, with no targetable driver mutations, there is evidence-based guidance on the use of carboplatin-paclitaxel chemotherapy after first trimester. In contrast, for epidermal growth factor receptor (EGFR)-mutated or anaplastic lymphoma kinase (ALK)-rearranged metastatic lung adenocarcinomas, there is a paucity of clinical data on the safety of EGFR and ALK tyrosine kinase inhibitors to mother and fetus for official guidelines to recommend the use of these otherwise-first-line therapies in pregnancy. Considering this knowledge gap, we present a case of a young gravida 1 para 0 (G1P0) woman who continued alectinib 300 mg oral two times per day for ALK-rearranged metastatic lung adenocarcinoma throughout all 36 weeks of her pregnancy and delivered a healthy baby at term via caesarean section (C-section).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".