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Genetic Profiling in Patients After Breast-Conserving Surgery

2023· article· en· W4317612789 on OpenAlexaboutno aff
Mark McGraw

Bibliographic record

VenueOncology Times · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreast cancerRadiation therapyBreast-conserving surgeryOncologyAdjuvant radiotherapyInternal medicineAdjuvantMastectomyCancer

Abstract

fetched live from OpenAlex

imaging: imagingNew research finds that patients with invasive breast cancer who scored low on investigational gene molecular signatures had comparable rates of local recurrence regardless of whether they received adjuvant radiation therapy after breast-conserving surgery. Presenting their findings at the 2022 San Antonio Breast Cancer Symposium, researchers detailed how these results suggest that genetic profiling may help identify breast cancer patients who can safely omit radiation therapy after undergoing breast-conserving surgery (Abstract GS4-03). Patients who undergo breast-conserving surgery are typically recommended to receive adjuvant radiation therapy to reduce the risk of local recurrence. However, many of these patients will not experience a local recurrence even without radiation therapy, the authors noted, adding there are currently no reliable predictive classifiers to identify patients who might be able to skip radiation therapy. Also, the link between radiation therapy and problematic side effects in some patients underscores the importance of identifying those patients who can safely bypass radiation therapy. Study Details For this study, a team led by Per Karlsson, MD, Professor of Oncology at the Sahlgrenska Comprehensive Cancer Center and the University of Gothenburg, evaluated the predictive potential of POLAR (Profile for the Omission of Local Adjuvant Radiotherapy). It is an investigational 16-gene molecular signature that was developed based on gene expression differences between patients with and without local recurrence after breast-conserving surgery. Genes included in the signature have known roles in cellular proliferation and the immune response.Per Karlsson, MD: Per Karlsson, MDKarlsson and colleagues performed a meta-analysis of 623 patients with lymph node-negative, estrogen receptor-positive, HER2-negative breast cancer who were enrolled in one of three randomized clinical trials examining the efficacy of breast-conserving surgery with and without local breast radiation therapy. The clinical trials included in the meta-analysis were the Swedish SweBCG91RT trial, the Scottish Conservation Trial, and a trial from the Princess Margaret Hospital (PMH) in Canada. Among the 623 patients taking part in the meta-analysis, 354 were from SweBCG91RT and 132 came from the PMH trial. To evaluate the predictive capability of POLAR, the researchers analyzed gene expression in patient breast tumor samples to assign each patient a POLAR score. They then examined the impact of radiation therapy on patients with high and low POLAR scores. Among the 429 patients with high POLAR scores, those who received adjuvant radiation therapy after breast-conserving surgery had a 63 percent reduction of local recurrence compared with those who did not receive adjuvant radiation therapy, suggesting that adjuvant radiation therapy was beneficial for these patients. Among the 194 patients with low POLAR scores, there was no significant difference in local recurrence rate between those who received adjuvant radiation therapy and those who did not. After 10 years, 5 percent of patients who received radiation therapy experienced a local recurrence compared with 7 percent of those who did not receive radiation therapy. In this patient-level meta-analysis of three independent randomized clinical trials, the POLAR gene profile successfully predicted which patients would and would not benefit from local radiation therapy, thereby identifying a group of breast cancer patients for whom radiation therapy may be safely omitted after breast-conserving surgery, according to the authors. Noting that the POLAR gene profile may help mitigate toxicities and improve quality of life for many breast cancer patients, the researchers add that the POLAR gene profile will need further validation and additional streamlining before it could be used in a clinical setting. Karlsson and colleagues plan to undertake additional research to examine whether the POLAR gene profile can also identify patients who could safely avoid regional radiation therapy, which is associated with more severe toxicities than local radiation therapy. “Breast cancer is commonly classified by immunohistochemistry in different approximated sub-types. This classification is good,” Karlsson told Oncology Times. “However, gene expression information can give a more diverse information of the tumor. Out of the diverse information of all expressed genes we have identified a 16-gene profile (POLAR) with capacity to prognosticate locoregional recurrences and to predict radiotherapy benefit. The gene expression contains much more info than just immunohistochemistry, which we used in the development of the POLAR score.” In terms of what these findings signify for the role of radiation therapy in the treatment of breast cancer patients for whom adjuvant radiation therapy is recommended, “we need further streamlining of the POLAR assay and some further validation before it can be used in the clinic,” Karlsson noted. “Going forward, our results indicate that, in 25 percent of the patients in this population, radiotherapy can be safely omitted.” Mark McGraw is a contributing writer.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.521

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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 teacher head, 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".

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Citations0
Published2023
Admission routes1
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