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Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study
PURPOSE: The Breast Cancer Index (BCI) HOXB13/IL17BR (H/I) ratio predicts benefit from extended endocrine therapy in hormone receptor–positive (HR(+)) early-stage breast cancer. Here, we report the final analysis of the Trans-aTTom study examining BCI (H/I)'s predictive performance. EXPERIMENTA...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306281/ https://www.ncbi.nlm.nih.gov/pubmed/35144966 http://dx.doi.org/10.1158/1078-0432.CCR-21-3385 |
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author | Bartlett, John M.S. Sgroi, Dennis C. Treuner, Kai Zhang, Yi Piper, Tammy Salunga, Ranelle C. Ahmed, Ikhlaaq Doos, Lucy Thornber, Sarah Taylor, Karen J. Brachtel, Elena F. Pirrie, Sarah J. Schnabel, Catherine A. Rea, Daniel W. |
author_facet | Bartlett, John M.S. Sgroi, Dennis C. Treuner, Kai Zhang, Yi Piper, Tammy Salunga, Ranelle C. Ahmed, Ikhlaaq Doos, Lucy Thornber, Sarah Taylor, Karen J. Brachtel, Elena F. Pirrie, Sarah J. Schnabel, Catherine A. Rea, Daniel W. |
author_sort | Bartlett, John M.S. |
collection | PubMed |
description | PURPOSE: The Breast Cancer Index (BCI) HOXB13/IL17BR (H/I) ratio predicts benefit from extended endocrine therapy in hormone receptor–positive (HR(+)) early-stage breast cancer. Here, we report the final analysis of the Trans-aTTom study examining BCI (H/I)'s predictive performance. EXPERIMENTAL DESIGN: BCI results were available for 2,445 aTTom trial patients. The primary endpoint of recurrence-free interval (RFI) and secondary endpoints of disease-free interval (DFI) and disease-free survival (DFS) were examined using Cox proportional hazards regression and log-rank test. RESULTS: Final analysis of the overall study population (N = 2,445) did not show a significant improvement in RFI with extended tamoxifen [HR, 0.90; 95% confidence interval (CI), 0.69–1.16; P = 0.401]. Both the overall study population and N0 group were underpowered due to the low event rate in the N0 group. In a pre-planned analysis of the N(+) subset (N = 789), BCI (H/I)-High patients derived significant benefit from extended tamoxifen (9.7% absolute benefit: HR, 0.33; 95% CI, 0.14–0.75; P = 0.016), whereas BCI (H/I)-Low patients did not (−1.2% absolute benefit; HR, 1.11; 95% CI, 0.76–1.64; P = 0.581). A significant treatment-to-biomarker interaction was demonstrated on the basis of RFI, DFI, and DFS (P = 0.037, 0.040, and 0.025, respectively). BCI (H/I)-High patients remained predictive of benefit from extended tamoxifen in the N(+)/HER2(−) subgroup (9.4% absolute benefit: HR, 0.35; 95% CI, 0.15–0.81; P = 0.047). A three-way interaction evaluating BCI (H/I), treatment, and HER2 status was not statistically significant (P = 0.849). CONCLUSIONS: Novel findings demonstrate that BCI (H/I) significantly predicts benefit from extended tamoxifen in HR(+) N(+) patients with HER2(−) disease. Moreover, BCI (H/I) demonstrates significant treatment to biomarker interaction across survival outcomes. |
format | Online Article Text |
id | pubmed-9306281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-93062812023-01-05 Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study Bartlett, John M.S. Sgroi, Dennis C. Treuner, Kai Zhang, Yi Piper, Tammy Salunga, Ranelle C. Ahmed, Ikhlaaq Doos, Lucy Thornber, Sarah Taylor, Karen J. Brachtel, Elena F. Pirrie, Sarah J. Schnabel, Catherine A. Rea, Daniel W. Clin Cancer Res Translational Cancer Mechanisms and Therapy PURPOSE: The Breast Cancer Index (BCI) HOXB13/IL17BR (H/I) ratio predicts benefit from extended endocrine therapy in hormone receptor–positive (HR(+)) early-stage breast cancer. Here, we report the final analysis of the Trans-aTTom study examining BCI (H/I)'s predictive performance. EXPERIMENTAL DESIGN: BCI results were available for 2,445 aTTom trial patients. The primary endpoint of recurrence-free interval (RFI) and secondary endpoints of disease-free interval (DFI) and disease-free survival (DFS) were examined using Cox proportional hazards regression and log-rank test. RESULTS: Final analysis of the overall study population (N = 2,445) did not show a significant improvement in RFI with extended tamoxifen [HR, 0.90; 95% confidence interval (CI), 0.69–1.16; P = 0.401]. Both the overall study population and N0 group were underpowered due to the low event rate in the N0 group. In a pre-planned analysis of the N(+) subset (N = 789), BCI (H/I)-High patients derived significant benefit from extended tamoxifen (9.7% absolute benefit: HR, 0.33; 95% CI, 0.14–0.75; P = 0.016), whereas BCI (H/I)-Low patients did not (−1.2% absolute benefit; HR, 1.11; 95% CI, 0.76–1.64; P = 0.581). A significant treatment-to-biomarker interaction was demonstrated on the basis of RFI, DFI, and DFS (P = 0.037, 0.040, and 0.025, respectively). BCI (H/I)-High patients remained predictive of benefit from extended tamoxifen in the N(+)/HER2(−) subgroup (9.4% absolute benefit: HR, 0.35; 95% CI, 0.15–0.81; P = 0.047). A three-way interaction evaluating BCI (H/I), treatment, and HER2 status was not statistically significant (P = 0.849). CONCLUSIONS: Novel findings demonstrate that BCI (H/I) significantly predicts benefit from extended tamoxifen in HR(+) N(+) patients with HER2(−) disease. Moreover, BCI (H/I) demonstrates significant treatment to biomarker interaction across survival outcomes. American Association for Cancer Research 2022-05-02 2022-02-10 /pmc/articles/PMC9306281/ /pubmed/35144966 http://dx.doi.org/10.1158/1078-0432.CCR-21-3385 Text en ©2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Translational Cancer Mechanisms and Therapy Bartlett, John M.S. Sgroi, Dennis C. Treuner, Kai Zhang, Yi Piper, Tammy Salunga, Ranelle C. Ahmed, Ikhlaaq Doos, Lucy Thornber, Sarah Taylor, Karen J. Brachtel, Elena F. Pirrie, Sarah J. Schnabel, Catherine A. Rea, Daniel W. Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study |
title | Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study |
title_full | Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study |
title_fullStr | Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study |
title_full_unstemmed | Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study |
title_short | Breast Cancer Index Is a Predictive Biomarker of Treatment Benefit and Outcome from Extended Tamoxifen Therapy: Final Analysis of the Trans-aTTom Study |
title_sort | breast cancer index is a predictive biomarker of treatment benefit and outcome from extended tamoxifen therapy: final analysis of the trans-attom study |
topic | Translational Cancer Mechanisms and Therapy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306281/ https://www.ncbi.nlm.nih.gov/pubmed/35144966 http://dx.doi.org/10.1158/1078-0432.CCR-21-3385 |
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