A Novel Prognostic Nomogram for Predicting Risks of Distant Failure in Patients with Invasive Breast Cancer Following Postoperative Adjuvant Radiotherapy
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Purpose This study aimed to identify predictors for distant metastatic behavior and build a related prognostic nomogram in breast cancer. Materials and Methods A total of 1,181 patients with non-metastatic breast cancer between 2003 and 2011 were analyzed. To predict the probability of distant metastasis, a nomogram was constructed based on prognostic factors identified using a Cox proportional hazards model. Results The 7-year overall survival and 5-year post-progression survival of locoregional versus distant recurrence groups were 67.6% versus 39.1% (p=0.027) and 54.2% versus 33.5% (p=0.043), respectively. Patients who developed distant metastasis showed early and late mortality risk peaks within 3 and after 5 years of follow-up, respectively, but a broad and low risk increment was observed in other patients with locoregional relapse. In multivariate analysis of distant metastasis-free interval, age ( 45 years vs. < 45 years), molecular subtypes (luminal A vs. luminal B, human epidermal growth receptor 2, and triple negative), T category (T1 vs. T2-3 and T4), and N category (N0 vs. N1 and N2-3) were independently associated (p < 0.05 for all). Regarding the significant factors, a well-validated nomogram was established (concordance index, 0.812). The risk score level of patients with initial brain failure was higher than those of non-brain sites (p=0.029). Conclusion The nomogram could be useful for predicting the individual probability of distant recurrence in breast cancer. In high-risk patients based on the risk scores, more aggressive systemic therapy and closer surveillance for metastatic failure should be considered.
Abstract
Purpose This study aimed to identify predictors for distant metastatic behavior and build a related prognostic nomogram in breast cancer. Materials and Methods A total of 1,181 patients with non-metastatic breast cancer between 2003 and 2011 were analyzed. To predict the probability of distant metastasis, a nomogram was constructed based on prognostic factors identified using a Cox proportional hazards model. Results The 7-year overall survival and 5-year post-progression survival of locoregional versus distant recurrence groups were 67.6% versus 39.1% (p=0.027) and 54.2% versus 33.5% (p=0.043), respectively. Patients who developed distant metastasis showed early and late mortality risk peaks within 3 and after 5 years of follow-up, respectively, but a broad and low risk increment was observed in other patients with locoregional relapse. In multivariate analysis of distant metastasis-free interval, age ( 45 years vs. < 45 years), molecular subtypes (luminal A vs. luminal B, human epidermal growth receptor 2, and triple negative), T category (T1 vs. T2-3 and T4), and N category (N0 vs. N1 and N2-3) were independently associated (p < 0.05 for all). Regarding the significant factors, a well-validated nomogram was established (concordance index, 0.812). The risk score level of patients with initial brain failure was higher than those of non-brain sites (p=0.029). Conclusion The nomogram could be useful for predicting the individual probability of distant recurrence in breast cancer. In high-risk patients based on the risk scores, more aggressive systemic therapy and closer surveillance for metastatic failure should be considered.
참고문헌 (29)
- Siegel RL, "Cancer statistics, 2016", CA Cancer J Clin, 66, pp.7~30 (2016)
- [URL]
- "Adjuvant therapy for early and locally advanced breast cancer" (2017)[URL]
- Wu SG, "The effect of distant metastases sites on survival in de novo stage- IV breast cancer: a SEER database analysis", Tumour Biol, 39 (2017)
- Wu Q, "Breast cancer subtypes predict the preferential site of distant metastases: a SEER based study", Oncotarget, 8, pp.27990~27996 (2017)
- Weigelt B, "Breast cancer metastasis: markers and models", Nat Rev Cancer, 5, pp.591~602 (2005)
- Le MG, "Prognostic factors for death after an isolated local recurrence in patients with early-stage breast carcinoma", Cancer, 94, pp.2813~2820 (2002)
- Lim YJ, "Failure patterns according to molecular subtype in patients with invasive breast cancer following postoperative adjuvant radiotherapy: long-term outcomes in contemporary clinical practice", Breast Cancer Res Treat, 163, pp.555~563 (2017)
- Goldhirsch A, "Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013", Ann Oncol, 24, pp.2206~2223 (2013)
- Akaike H, "A new look at the statistical model identification", IEEE Trans Autom Control, 19, pp.716~723 (1974)
- Cheng YC, "Improvement of survival and prospect of cure in patients with metastatic breast cancer", Breast Cancer, 19, pp.191~199 (2012)
- Balachandran VP, "Nomograms in oncology: more than meets the eye", Lancet Oncol, 16, pp.e173~e180 (2015)
- Haffty BG, "Locoregional relapse and distant metastasis in conservatively managed triple negative early-stage breast cancer", J Clin Oncol, 24, pp.5652~5657 (2006)
- Laurberg T, "Long-term age-dependent failure pattern after breastconserving therapy or mastectomy among Danish lymphnode- negative breast cancer patients", Radiother Oncol, 120, pp.98~106 (2016)
- Anders CK, "Young age at diagnosis correlates with worse prognosis and defines a subset of breast cancers with shared patterns of gene expression", J Clin Oncol, 26, pp.3324~3330 (2008)
- Partridge AH, "Subtype-dependent relationship between young age at diagnosis and breast cancer survival", J Clin Oncol, 34, pp.3308~3314 (2016)
- van de Water W, "Association between age at diagnosis and disease-specific mortality among postmenopausal women with hormone receptor-positive breast cancer", JAMA, 307, pp.590~597 (2012)
- Purushotham A, "Age at diagnosis and distant metastasis in breast cancer: a surprising inverse relationship", Eur J Cancer, 50, pp.1697~1705 (2014)
- Myers CE, "Immunity, cancer and aging: lessons from mouse models", Aging Dis, 2, pp.512~523 (2011)
- Labat-Robert J, "The effect of cell-matrix interactions and aging on the malignant process", Adv Cancer Res, 98, pp.221~259 (2007)
- Hancke K, "Standard treatment of female patients with breast cancer decreases substantially for women aged 70 years and older: a German clinical cohort study", Ann Oncol, 21, pp.748~753 (2010)
- Arriagada R, "Predicting distant dissemination in patients with early breast cancer", Acta Oncol, 47, pp.1113~1121 (2008)
- Ali HR, "Genome-driven integrated classification of breast cancer validated in over 7,500 samples", Genome Biol, 15, pp.431~ (2014)
- Ciriello G, "The molecular diversity of Luminal A breast tumors", Breast Cancer Res Treat, 141, pp.409~420 (2013)
- Lin NU, "CNS metastases in breast cancer", J Clin Oncol, 22, pp.3608~3617 (2004)
- Niwinska A, "Breast cancer brain metastases: differences in survival depending on biological subtype, RPA RTOG prognostic class and systemic treatment after whole-brain radiotherapy (WBRT)", Ann Oncol, 21, pp.942~948 (2010)
- Kennecke H, "Metastatic behavior of breast cancer subtypes", J Clin Oncol, 28, pp.3271~3277 (2010)
- Almendro V, "Genetic and phenotypic diversity in breast tumor metastases", Cancer Res, 74, pp.1338~1348 (2014)
- Fasching PA, "The role of genetic breast cancer susceptibility variants as prognostic factors", Hum Mol Genet, 21, pp.3926~3939 (2012)
