From 03a73596ab2267f5b4ad2c293d29a4fce020ce23 Mon Sep 17 00:00:00 2001 From: Daniel Weindl Date: Thu, 1 Aug 2024 09:44:22 +0200 Subject: [PATCH] Add SchmiesterBra2024 --- doc/using_pypesto.bib | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/doc/using_pypesto.bib b/doc/using_pypesto.bib index c4474a018..84a19c2d4 100644 --- a/doc/using_pypesto.bib +++ b/doc/using_pypesto.bib @@ -305,4 +305,20 @@ @Misc{PhilippsKoe2024 url = {https://arxiv.org/abs/2406.14246}, } +@Article{SchmiesterBra2024, + author = {Schmiester, Leonard and Brasó-Maristany, Fara and González-Farré, Blanca and Pascual, Tomás and Gavilá, Joaquín and Tekpli, Xavier and Geisler, Jürgen and Kristensen, Vessela N. and Frigessi, Arnoldo and Prat, Aleix and Köhn-Luque, Alvaro}, + journal = {Clinical Cancer Research}, + title = {{Computational Model Predicts Patient Outcomes in Luminal B Breast Cancer Treated with Endocrine Therapy and CDK4/6 Inhibition}}, + year = {2024}, + issn = {1078-0432}, + month = {07}, + pages = {OF1-OF9}, + abstract = {{Development of a computational biomarker to predict, prior to treatment, the response to CDK4/6 inhibition (CDK4/6i) in combination with endocrine therapy in patients with breast cancer.A mechanistic mathematical model that accounts for protein signaling and drug mechanisms of action was developed and trained on extensive, publicly available data from breast cancer cell lines. The model was built to provide a patient-specific response score based on the expression of six genes (CCND1, CCNE1, ESR1, RB1, MYC, and CDKN1A). The model was validated in five independent cohorts of 148 patients in total with early-stage or advanced breast cancer treated with endocrine therapy and CDK4/6i. Response was measured either by evaluating Ki67 levels and PAM50 risk of relapse (ROR) after neoadjuvant treatment or by evaluating progression-free survival (PFS).The model showed significant association with patient’s outcomes in all five cohorts. The model predicted high Ki67 [area under the curve; AUC (95\\% confidence interval, CI) of 0.80 (0.64–0.92), 0.81 (0.60–1.00) and 0.80 (0.65–0.93)] and high PAM50 ROR [AUC of 0.78 (0.64–0.89)]. This observation was not obtained in patients treated with chemotherapy. In the other cohorts, patient stratification based on the model prediction was significantly associated with PFS [hazard ratio (HR) = 2.92 (95\\% CI, 1.08–7.86), P = 0.034 and HR = 2.16 (1.02 4.55), P = 0.043].A mathematical modeling approach accurately predicts patient outcome following CDK4/6i plus endocrine therapy that marks a step toward more personalized treatments in patients with Luminal B breast cancer.}}, + creationdate = {2024-08-01T09:44:04}, + doi = {10.1158/1078-0432.CCR-24-0244}, + eprint = {https://aacrjournals.org/clincancerres/article-pdf/doi/10.1158/1078-0432.CCR-24-0244/3478451/ccr-24-0244.pdf}, + modificationdate = {2024-08-01T09:44:04}, + url = {https://doi.org/10.1158/1078-0432.CCR-24-0244}, +} + @Comment{jabref-meta: databaseType:bibtex;}