Indian Journal of Cancer
Home  ICS  Feedback Subscribe Top cited articles Login 
Users Online :1311
Small font sizeDefault font sizeIncrease font size
Navigate Here
 »   Next article
 »   Previous article
 »   Table of Contents

Resource Links
 »   Similar in PUBMED
 »  Search Pubmed for
 »  Search in Google Scholar for
 »Related articles
 »   Citation Manager
 »   Access Statistics
 »   Reader Comments
 »   Email Alert *
 »   Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded203    
    Comments [Add]    
    Cited by others 2    

Recommend this journal


Year : 2017  |  Volume : 54  |  Issue : 1  |  Page : 352-357

Predicting loco-regional recurrence risk in T1, T2 breast cancer with 1–3 positive axillary nodes postmastectomy: Development of a predictive nomogram

1 Department of Radiation Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India
2 Department of Medical Statistics, Tata Memorial Centre, Mumbai, Maharashtra, India
3 Department of Surgical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India
4 Department of Pathology, Tata Memorial Centre, Mumbai, Maharashtra, India
5 Department of Medical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India

Correspondence Address:
Dr. R Sarin
Department of Radiation Oncology, Tata Memorial Centre, Mumbai, Maharashtra
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijc.IJC_178_17

Rights and Permissions

BACKGROUND: Role of postmastectomy radiotherapy (PMRT) in early breast cancer with 1–3 positive axillary nodes is still controversial. Hence, there is a need to identify subgroup of patients who have sufficiently high risk of disease recurrence to benefit from PMRT. AIM: The aim is to evaluate clinical outcomes of patients postmastectomy having pathological T1–T2 tumors with 1–3 positive axillary lymph nodes (LNs) treated with adjuvant systemic therapy and develop a predictive nomogram. MATERIALS AND METHODS: Data collected retrospectively from eligible patients from 2005 to 2011. Kaplan–Meier survival analysis was used for all time-to-event analysis. Various known clinical and pathological risk factors were correlated with outcome using uni- and multi-variable analysis in SPSS version 21. All comparisons were two-tailed and P < 0.05 were considered statistically significant. The nomogram to predict the risk of loco-regional control (LRC) was developed using least absolute shrinkage and selection operator shrinkage model in hdnom.io software. RESULTS: 38/242 (15.7%) patients had recurrent disease at loco-regional (10 patients), distant sites (22 patients) and simultaneous loco-regional and distant sites (6 patients) at a median follow-up 59.5 (range 4–133) months. Five years estimate of LRC, distant disease-free survival (DFS), DFS, cause-specific survival and overall survival was 87.8%, 85.4%, 84.2%, 93.1%, and 91.5%, respectively. Pathological tumor size, margin status, LN ratio as continuous variables and grade and triple negative breast cancer status as categorical variables were the risk factors included in the model for building nomogram. CONCLUSION: The nomogram developed based on institutional data can be a valuable tool in guiding adjuvant PMRT depending on the risk of 5 years loco-regional recurrence.


Print this article     Email this article

  Site Map | What's new | Copyright and Disclaimer
  Online since 1st April '07
  © 2007 - Indian Journal of Cancer | Published by Wolters Kluwer - Medknow