Mutational landscape of radiation-associated angiosarcoma of the breast
Bibliographic record
Abstract
// Bryan J. Thibodeau 1 , Vincent Lavergne 2 , Nayana Dekhne 3 , Pamela Benitez 3 , Mitual Amin 4 , Samreen Ahmed 1 , Jean L. Nakamura 2 , Philip R. Davidson 5 , Alice O. Nakamura 5 , Inga S. Grills 6 , Peter Y. Chen 6 , Jessica Wobb 6 and George D. Wilson 1, 6 1 Beaumont BioBank, Beaumont Health, Royal Oak, MI, USA 2 Department of Radiation Oncology, University of California, San Francisco, CA, USA 3 Department of Surgery, Beaumont Health, Royal Oak, MI, USA 4 Department of Pathology, Beaumont Health, Royal Oak, MI, USA 5 Department of Finance and Statistical Analysis, University of Alberta, Edmonton, Alberta, Canada 6 Department of Radiation Oncology, Beaumont Health, Royal Oak, MI, USA Correspondence to: George D. Wilson, email: george.wilson@beaumont.edu Keywords: angiosarcoma; radiation-associated; breast; mutational signature; next generation sequencing Received: September 15, 2017 Accepted: October 13, 2017 Published: January 19, 2018 ABSTRACT Purpose: Radiation-associated breast angiosarcomas are a rare complication of radiation therapy for breast carcinoma. With relatively little is known about the genetic abnormalities present in these secondary tumors, we examined genomic variation in biospecimens from radiation-associated breast angiosarcomas. Experimental Design: Patients were identified that had a previous breast cancer diagnosis, received radiation therapy, and developed angiosarcoma in the ipsilateral breast as the earlier cancer. Tumor regions were isolated from archival blocks using subsequent laser capture microdissection. Next generation sequencing was performed using a targeted panel of 160 cancer-related genes. Genomic variants were identified for mutation and trinucleotide-based mutational signature analysis. Results: 44 variants in 34 genes were found in more than two thirds of the cases; this included 12 variants identified as potentially deleterious. Of particular note, the BRCA1 DNA damage response pathway was highly enriched with genetic variation. In a comparison to local recurrences, 14 variants in 11 genes were present in both the primary and recurrent lesions including variants in genes associated with the DNA damage response machinery. Furthermore, the mutational signature analysis shows that a previously defined IR signature is present in almost all of the current samples characterized by predominantly C→T substitutions. Conclusions: While radiation-associated breast angiosarcomas are relatively uncommon, their prognosis is very poor. These data demonstrate a mutational pattern associated with genes involved in DNA repair. While important in revealing the biology behind these tumors, it may also suggest new treatment strategies that will prove successful.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".