MétaCan
Menu
Back to cohort

Abstract PS11-20: Radiation therapy (RT) induced toxicity in advanced breast cancer (ABC) patients treated with CDK4/6 inhibitors (CDK4/6is)

2021· article· en· W3131295993 on OpenAlexaffabout
Neda Stjepanovic, Alia Thawer, Dilshad Nathoo, Danilo Giffoni, Maria Luisa Romero, Anthony Lott, Andrea Eisen, Rossanna C. Pezo, Katarzyna J. Jerzak, Maureen Trudeau, Sonal Gandhi, Ellen Warner

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePalbociclibCommon Terminology Criteria for Adverse EventsToxicityAdverse effectCancerInternal medicineRadiation therapyBreast cancerOncologySurgeryMetastatic breast cancer

Abstract

fetched live from OpenAlex

Abstract Background: For patients with ABC being treated with CDK4/6is palliative (RT may still be necessary to metastatic sites that are symptomatic or at risk for complications. Although preclinical data suggests synergy between CDK4/6is and RT, clinical data regarding the safety of this combination are conflicting, with some reports of increased toxicity in the radiation field. Our aim was to review the practice regarding holding CDK4/6is during RT and subsequent clinical outcomes at the cancer centre with the largest volume of ABC patients in Canada. Methods: Chart review was completed for 313 ER positive and Her2 ABC pts treated with CDK4/6is at the Sunnybrook Health Sciences Centre from 2016 to 2020. All patients who received RT during the course of treatment with CDK4/6is were included in this analysis. Greater than expected toxicity events were defined as higher than grade 1 non-hematological toxicity as per Common Terminology Criteria for Adverse Events during RT or in the 30 days post RT. Descriptive statistics were used for demographics and treatment outcomes. Results: Fifty patients received RT to 74 different sites during treatment with CDK4/6is (46 palbociclib and 4 ribociclib). Median age was 56 (41-88) years. Most frequent RT sites were: bone (n=51), brain (n=7), lung (n=4), breast (n=4) and liver (n=3). CDK4/6is were held during RT of 55 sites (37 patients), starting a median of 7 (0-43) days prior to first fraction of RT and restarted a median of 7 (0-71) days after completing the RT. A CDK4/6i was administered concomitantly with RT to 19 sites (15 patients). No greater than expected toxicity was observed in patients for whom the CDK4/6i was held during RT. Among patients who received concomitant treatment, we observed 4 non-hematological adverse events (21%) in organs included in the field of radiation. In combination with palbociclib we observed grade 3 colitis after 30 Gy to hip/pelvis bones, grade 2 esophagitis after 30 Gy to C1-C4 vertebrae and grade 2 enteritis after 30 Gy to the upper femur. In combination with ribociclib one patient developed grade 3 hepatitis after 20Gy to T10-L2 vertebrae. Conclusions: This retrospective observational study of 50 patients with advanced ER positive Her2 negative BC treated with CDK4/6is who received palliative RT demonstrated a high rate of radiation toxicity (21%) in those patients for whom the CDK4/6i was given concurrently. Quality improvement work in this area, including practice guidelines, is warranted. Citation Format: Neda Stjepanovic, Alia Thawer, Dilshad Nathoo, Danilo Giffoni, Maria Romero, Anthony Lott, Andrea Eisen, Rossanna Pezo, Katarzyna Jerzak, Maureen Trudeau, Sonal Gandhi, Ellen Warner. Radiation therapy (RT) induced toxicity in advanced breast cancer (ABC) patients treated with CDK4/6 inhibitors (CDK4/6is) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS11-20.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.382
Teacher spread0.336 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueCancer ResearchSame topicAdvanced Breast Cancer TherapiesFrench-language works237,207