Radiation recall dermatitis with abemaciclib developing a year after radiotherapy
Bibliographic record
Abstract
Importance Cyclin-dependent kinases 4/6 (CDK4/6) inhibitors had been recently introduced in clinical practice approved for use in hormone receptor (HR) positive/ human epidermal growth factor receptor 2 (HER2) negative advanced or metastatic breast cancer . We report the first incidence of radiation recall reaction with the use of abemaciclib . Observations A 46-year old woman was diagnosed with oligometastatic HR+/HER2- breast cancer (L1 vertebra and right 8th rib). Following mastectomy and sentinel lymph node biopsy , she started letrozole with ovarian suppression. She received loco-regional radiotherapy (RT) to the chest wall and regional lymph nodes to a dose of 50 Gy in 25 fractions using a four-field technique. She was treated with stereotactic body radiotherapy (SBRT) to L1 and rib lesion to a dose of 28 Gy and 24 Gy in 2 fractions, respectively. She had developed grade 2 radiation dermatitis during RT. Subsequently, she was started on palbociclib , which was later switched to abemaciclib 100 mg twice daily due to neutropenia . Three months after switching (14 months after RT), she developed erythema and hyperpigmentation over areas of prior radiation dermatitis . The reaction was grade 2 radiation recall dermatitis (RRD) over the upper back and grade 1 reaction involving axilla , chest wall, and other sites receiving SBRT. The reactions stabilized over the next 3 months with some improvement with the use of emollients and topical steroids . Conclusion and Relevance This is the first incidence of RRD with the use of a CDK4/6 inhibitor upon switching to abemaciclib (receiving reduced dose) from palbociclib . The RRD possibly had a dose-dependent effect with grade 2 reactions developing over areas receiving higher skin dose.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".