Cargando…

SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment

BACKGROUND: SHON nuclear expression (SHON-Nuc(+)) was previously reported to predict clinical outcomes to tamoxifen therapy in ERα(+) breast cancer (BC). Herein we determined if SHON expression detected by specific monoclonal antibodies could provide a more accurate prediction and serve as a biomark...

Descripción completa

Detalles Bibliográficos
Autores principales: Abdel-Fatah, Tarek M. A., Broom, Reuben J., Lu, Jun, Moseley, Paul M., Huang, Baiqu, Li, Lili, Liu, Suling, Chen, Longxin, Ma, Runlin Z., Cao, Wenming, Wang, Xiaojia, Li, Yan, Perry, Jo K., Aleskandarany, Mohammed, Nolan, Christopher C., Rakha, Emad A., Lobie, Peter E., Chan, Stephen Y. T., Ellis, Ian O., Hwang, Le-Ann, Lane, David P., Green, Andrew R., Liu, Dong-Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461947/
https://www.ncbi.nlm.nih.gov/pubmed/30816325
http://dx.doi.org/10.1038/s41416-019-0405-x
_version_ 1783410556541075456
author Abdel-Fatah, Tarek M. A.
Broom, Reuben J.
Lu, Jun
Moseley, Paul M.
Huang, Baiqu
Li, Lili
Liu, Suling
Chen, Longxin
Ma, Runlin Z.
Cao, Wenming
Wang, Xiaojia
Li, Yan
Perry, Jo K.
Aleskandarany, Mohammed
Nolan, Christopher C.
Rakha, Emad A.
Lobie, Peter E.
Chan, Stephen Y. T.
Ellis, Ian O.
Hwang, Le-Ann
Lane, David P.
Green, Andrew R.
Liu, Dong-Xu
author_facet Abdel-Fatah, Tarek M. A.
Broom, Reuben J.
Lu, Jun
Moseley, Paul M.
Huang, Baiqu
Li, Lili
Liu, Suling
Chen, Longxin
Ma, Runlin Z.
Cao, Wenming
Wang, Xiaojia
Li, Yan
Perry, Jo K.
Aleskandarany, Mohammed
Nolan, Christopher C.
Rakha, Emad A.
Lobie, Peter E.
Chan, Stephen Y. T.
Ellis, Ian O.
Hwang, Le-Ann
Lane, David P.
Green, Andrew R.
Liu, Dong-Xu
author_sort Abdel-Fatah, Tarek M. A.
collection PubMed
description BACKGROUND: SHON nuclear expression (SHON-Nuc(+)) was previously reported to predict clinical outcomes to tamoxifen therapy in ERα(+) breast cancer (BC). Herein we determined if SHON expression detected by specific monoclonal antibodies could provide a more accurate prediction and serve as a biomarker for anthracycline-based combination chemotherapy (ACT). METHODS: SHON expression was determined by immunohistochemistry in the Nottingham early-stage-BC cohort (n = 1,650) who, if eligible, received adjuvant tamoxifen; the Nottingham ERα(−) early-stage-BC (n = 697) patients who received adjuvant ACT; and the Nottingham locally advanced-BC cohort who received pre-operative ACT with/without taxanes (Neo-ACT, n = 120) and if eligible, 5-year adjuvant tamoxifen treatment. Prognostic significance of SHON and its relationship with the clinical outcome of treatments were analysed. RESULTS: As previously reported, SHON-Nuc(+) in high risk/ERα(+) patients was significantly associated with a 48% death risk reduction after exclusive adjuvant tamoxifen treatment compared with SHON-Nuc(−) [HR (95% CI) = 0.52 (0.34–0.78), p = 0.002]. Meanwhile, in ERα(−) patients treated with adjuvant ACT, SHON cytoplasmic expression (SHON-Cyto(+)) was significantly associated with a 50% death risk reduction compared with SHON-Cyto(−) [HR (95% CI) = 0.50 (0.34–0.73), p = 0.0003]. Moreover, in patients received Neo-ACT, SHON-Nuc(−) or SHON-Cyto(+) was associated with an increased pathological complete response (pCR) compared with SHON-Nuc(+) [21 vs 4%; OR (95% CI) = 5.88 (1.28–27.03), p = 0.012], or SHON-Cyto(−) [20.5 vs. 4.5%; OR (95% CI) = 5.43 (1.18–25.03), p = 0.017], respectively. After receiving Neo-ACT, patients with SHON-Nuc(+) had a significantly lower distant relapse risk compared to those with SHON-Nuc(−) [HR (95% CI) = 0.41 (0.19–0.87), p = 0.038], whereas SHON-Cyto(+) patients had a significantly higher distant relapse risk compared to SHON-Cyto(−) patients [HR (95% CI) = 4.63 (1.05–20.39), p = 0.043]. Furthermore, multivariate Cox regression analyses revealed that SHON-Cyto(+) was independently associated with a higher risk of distant relapse after Neo-ACT and 5-year tamoxifen treatment [HR (95% CI) = 5.08 (1.13–44.52), p = 0.037]. The interaction term between ERα status and SHON-Nuc(+) (p = 0.005), and between SHON-Nuc(+) and tamoxifen therapy (p = 0.007), were both statistically significant. CONCLUSION: SHON-Nuce(+) in tumours predicts response to tamoxifen in ERα(+) BC while SHON-Cyto(+) predicts response to ACT.
format Online
Article
Text
id pubmed-6461947
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-64619472020-02-28 SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment Abdel-Fatah, Tarek M. A. Broom, Reuben J. Lu, Jun Moseley, Paul M. Huang, Baiqu Li, Lili Liu, Suling Chen, Longxin Ma, Runlin Z. Cao, Wenming Wang, Xiaojia Li, Yan Perry, Jo K. Aleskandarany, Mohammed Nolan, Christopher C. Rakha, Emad A. Lobie, Peter E. Chan, Stephen Y. T. Ellis, Ian O. Hwang, Le-Ann Lane, David P. Green, Andrew R. Liu, Dong-Xu Br J Cancer Article BACKGROUND: SHON nuclear expression (SHON-Nuc(+)) was previously reported to predict clinical outcomes to tamoxifen therapy in ERα(+) breast cancer (BC). Herein we determined if SHON expression detected by specific monoclonal antibodies could provide a more accurate prediction and serve as a biomarker for anthracycline-based combination chemotherapy (ACT). METHODS: SHON expression was determined by immunohistochemistry in the Nottingham early-stage-BC cohort (n = 1,650) who, if eligible, received adjuvant tamoxifen; the Nottingham ERα(−) early-stage-BC (n = 697) patients who received adjuvant ACT; and the Nottingham locally advanced-BC cohort who received pre-operative ACT with/without taxanes (Neo-ACT, n = 120) and if eligible, 5-year adjuvant tamoxifen treatment. Prognostic significance of SHON and its relationship with the clinical outcome of treatments were analysed. RESULTS: As previously reported, SHON-Nuc(+) in high risk/ERα(+) patients was significantly associated with a 48% death risk reduction after exclusive adjuvant tamoxifen treatment compared with SHON-Nuc(−) [HR (95% CI) = 0.52 (0.34–0.78), p = 0.002]. Meanwhile, in ERα(−) patients treated with adjuvant ACT, SHON cytoplasmic expression (SHON-Cyto(+)) was significantly associated with a 50% death risk reduction compared with SHON-Cyto(−) [HR (95% CI) = 0.50 (0.34–0.73), p = 0.0003]. Moreover, in patients received Neo-ACT, SHON-Nuc(−) or SHON-Cyto(+) was associated with an increased pathological complete response (pCR) compared with SHON-Nuc(+) [21 vs 4%; OR (95% CI) = 5.88 (1.28–27.03), p = 0.012], or SHON-Cyto(−) [20.5 vs. 4.5%; OR (95% CI) = 5.43 (1.18–25.03), p = 0.017], respectively. After receiving Neo-ACT, patients with SHON-Nuc(+) had a significantly lower distant relapse risk compared to those with SHON-Nuc(−) [HR (95% CI) = 0.41 (0.19–0.87), p = 0.038], whereas SHON-Cyto(+) patients had a significantly higher distant relapse risk compared to SHON-Cyto(−) patients [HR (95% CI) = 4.63 (1.05–20.39), p = 0.043]. Furthermore, multivariate Cox regression analyses revealed that SHON-Cyto(+) was independently associated with a higher risk of distant relapse after Neo-ACT and 5-year tamoxifen treatment [HR (95% CI) = 5.08 (1.13–44.52), p = 0.037]. The interaction term between ERα status and SHON-Nuc(+) (p = 0.005), and between SHON-Nuc(+) and tamoxifen therapy (p = 0.007), were both statistically significant. CONCLUSION: SHON-Nuce(+) in tumours predicts response to tamoxifen in ERα(+) BC while SHON-Cyto(+) predicts response to ACT. Nature Publishing Group UK 2019-02-28 2019-04-02 /pmc/articles/PMC6461947/ /pubmed/30816325 http://dx.doi.org/10.1038/s41416-019-0405-x Text en © Cancer Research UK 2019 https://creativecommons.org/licenses/by/4.0/This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0).
spellingShingle Article
Abdel-Fatah, Tarek M. A.
Broom, Reuben J.
Lu, Jun
Moseley, Paul M.
Huang, Baiqu
Li, Lili
Liu, Suling
Chen, Longxin
Ma, Runlin Z.
Cao, Wenming
Wang, Xiaojia
Li, Yan
Perry, Jo K.
Aleskandarany, Mohammed
Nolan, Christopher C.
Rakha, Emad A.
Lobie, Peter E.
Chan, Stephen Y. T.
Ellis, Ian O.
Hwang, Le-Ann
Lane, David P.
Green, Andrew R.
Liu, Dong-Xu
SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
title SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
title_full SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
title_fullStr SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
title_full_unstemmed SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
title_short SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
title_sort shon expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461947/
https://www.ncbi.nlm.nih.gov/pubmed/30816325
http://dx.doi.org/10.1038/s41416-019-0405-x
work_keys_str_mv AT abdelfatahtarekma shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT broomreubenj shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT lujun shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT moseleypaulm shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT huangbaiqu shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT lilili shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT liusuling shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT chenlongxin shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT marunlinz shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT caowenming shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT wangxiaojia shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT liyan shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT perryjok shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT aleskandaranymohammed shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT nolanchristopherc shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT rakhaemada shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT lobiepetere shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT chanstephenyt shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT ellisiano shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT hwangleann shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT lanedavidp shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT greenandrewr shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment
AT liudongxu shonexpressionpredictsresponseandrelapseriskofbreastcancerpatientsafteranthracyclinebasedcombinationchemotherapyortamoxifentreatment