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Conference Paper: Personalised treatment for older patients with breast cancer: what determines the survival outcome?
Title | Personalised treatment for older patients with breast cancer: what determines the survival outcome? |
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Authors | |
Issue Date | 2020 |
Publisher | Wiley-Blackwell Publishing Asia. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1744-1633 |
Citation | The Royal College of Surgeons of Edinburgh and The College of Surgeons of Hong Kong (RCSEd/CSHK) Conjoint Virtual Scientific Congress 2020: Towards Personalised Surgery, Hong Kong, 19 September 2020. In Surgical Practice, 2020, v. 24 n. Suppl. 1, p. 19-20, abstract no. PR16 How to Cite? |
Abstract | Aim: Treatment of elderly patients with operable breast cancer requires a multi‐disciplinary approach to match the medical needs specific to the geriatric population. We investigated the clinical and pathological determinants in an elderly population with localized breast cancer to identify the prognostic factors for survival.
Methods: Chinese patients aged 70 and above with non‐metastatic breast cancer treated between 2008 and 2017 at a University‐affiliated tertiary breast centre were reviewed. Clinical‐pathological factors as well as patients’ premorbidity predicting overall survival were analysed using univariate and multivariate cox proportional hazard model.
Results: 347 patients fulfilled the inclusion criteria for analysis. Our cohort had a median overall survival of 10.7 years. When stratified by TNM staging, overall survival was 11.29, 10.13, and 4.36 years for stage I, II and III respectively. Univariate analysis identified advanced age, high Charlson Comorbidity Index, American Society of Anesthesiologists score of 3, dependent functional status, larger tumor size, advanced lymph node status, histological high grade, and those who underwent primary endocrine therapy alone to be associated with increased risk of mortality. Multivariate analysis showed that only Charlson Comorbidity Index had a significant effect on survival probabilities, after adjusting for other variables. Those patients with more comorbidities (higher Charlson Comorbidity Index) predicted increased risk of death compared with those without comorbidities in this elderly cohort (HR = 3.411; 95% CI 1.515‐7.681, P = .003).
Conclusions: Fragility determines survival outcomes in older breast cancer patients. There is a need for comprehensive geriatric assessment in personalizing treatment options in this population to optimise survival outcomes. |
Description | Poster Presentation - Poster Round - no. PR16 |
Persistent Identifier | http://hdl.handle.net/10722/297256 |
ISSN | 2013 Impact Factor: 0.172 2020 SCImago Journal Rankings: 0.109 |
DC Field | Value | Language |
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dc.contributor.author | Tang, C | - |
dc.contributor.author | Suen, TKD | - |
dc.contributor.author | Kwong, A | - |
dc.date.accessioned | 2021-03-08T07:16:23Z | - |
dc.date.available | 2021-03-08T07:16:23Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | The Royal College of Surgeons of Edinburgh and The College of Surgeons of Hong Kong (RCSEd/CSHK) Conjoint Virtual Scientific Congress 2020: Towards Personalised Surgery, Hong Kong, 19 September 2020. In Surgical Practice, 2020, v. 24 n. Suppl. 1, p. 19-20, abstract no. PR16 | - |
dc.identifier.issn | 1744-1625 | - |
dc.identifier.uri | http://hdl.handle.net/10722/297256 | - |
dc.description | Poster Presentation - Poster Round - no. PR16 | - |
dc.description.abstract | Aim: Treatment of elderly patients with operable breast cancer requires a multi‐disciplinary approach to match the medical needs specific to the geriatric population. We investigated the clinical and pathological determinants in an elderly population with localized breast cancer to identify the prognostic factors for survival. Methods: Chinese patients aged 70 and above with non‐metastatic breast cancer treated between 2008 and 2017 at a University‐affiliated tertiary breast centre were reviewed. Clinical‐pathological factors as well as patients’ premorbidity predicting overall survival were analysed using univariate and multivariate cox proportional hazard model. Results: 347 patients fulfilled the inclusion criteria for analysis. Our cohort had a median overall survival of 10.7 years. When stratified by TNM staging, overall survival was 11.29, 10.13, and 4.36 years for stage I, II and III respectively. Univariate analysis identified advanced age, high Charlson Comorbidity Index, American Society of Anesthesiologists score of 3, dependent functional status, larger tumor size, advanced lymph node status, histological high grade, and those who underwent primary endocrine therapy alone to be associated with increased risk of mortality. Multivariate analysis showed that only Charlson Comorbidity Index had a significant effect on survival probabilities, after adjusting for other variables. Those patients with more comorbidities (higher Charlson Comorbidity Index) predicted increased risk of death compared with those without comorbidities in this elderly cohort (HR = 3.411; 95% CI 1.515‐7.681, P = .003). Conclusions: Fragility determines survival outcomes in older breast cancer patients. There is a need for comprehensive geriatric assessment in personalizing treatment options in this population to optimise survival outcomes. | - |
dc.language | eng | - |
dc.publisher | Wiley-Blackwell Publishing Asia. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1744-1633 | - |
dc.relation.ispartof | Surgical Practice | - |
dc.relation.ispartof | RCSEd/CSHK Conjoint Virtual Scientific Congress 2020 | - |
dc.title | Personalised treatment for older patients with breast cancer: what determines the survival outcome? | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Suen, TKD: suentkd@hku.hk | - |
dc.identifier.email | Kwong, A: avakwong@hku.hk | - |
dc.identifier.authority | Kwong, A=rp01734 | - |
dc.description.nature | abstract | - |
dc.identifier.hkuros | 321650 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | Suppl. 1 | - |
dc.identifier.spage | 19 | - |
dc.identifier.epage | 20 | - |
dc.publisher.place | Australia | - |
dc.identifier.partofdoi | 10.1111/1744-1633.12449 | - |
dc.identifier.issnl | 1744-1625 | - |