Add SchmiesterBra2024

documentation/amici_refs.bib

@@ -1374,6 +1374,22 @@ @Article{DuezWie2024
   publisher        = {American Chemical Society (ACS)},
 }
 
+@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     = {2024-08-01T09:42:58},
+  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 = {2024-08-01T09:42:58},
+  url              = {https://doi.org/10.1158/1078-0432.CCR-24-0244},
+}
+
 @Comment{jabref-meta: databaseType:bibtex;}
 
 @Comment{jabref-meta: grouping:

documentation/references.md

@@ -1,6 +1,6 @@
 # References
 
-List of publications using AMICI. Total number is 90.
+List of publications using AMICI. Total number is 91.
 
 If you applied AMICI in your work and your publication is missing, please let us know via a new
 [GitHub issue](https://github.com/AMICI-dev/AMICI/issues/new?labels=documentation&title=Add+publication&body=AMICI+was+used+in+this+manuscript:+DOI).
@@ -77,6 +77,15 @@ Jan Hasenauer. 2024. <span>“Non-Negative Universal Differential
 Equations with Applications in Systems Biology.”</span> <a
 href="https://arxiv.org/abs/2406.14246">https://arxiv.org/abs/2406.14246</a>.
 </div>
+<div id="ref-SchmiesterBra2024" class="csl-entry" role="listitem">
+Schmiester, Leonard, Fara Brasó-Maristany, Blanca González-Farré, Tomás
+Pascual, Joaquín Gavilá, Xavier Tekpli, Jürgen Geisler, et al. 2024.
+<span>“<span class="nocase">Computational Model Predicts Patient
+Outcomes in Luminal B Breast Cancer Treated with Endocrine Therapy and
+CDK4/6 Inhibition</span>.”</span> <em>Clinical Cancer Research</em>,
+July, OF1–9. <a
+href="https://doi.org/10.1158/1078-0432.CCR-24-0244">https://doi.org/10.1158/1078-0432.CCR-24-0244</a>.
+</div>
 <div id="ref-SluijsZho2024" class="csl-entry" role="listitem">
 Sluijs, Bob van, Tao Zhou, Britta Helwig, Mathieu G. Baltussen, Frank H.
 T. Nelissen, Hans A. Heus, and Wilhelm T. S. Huck. 2024.