[Prognostic and predictive factors of invasive breast cancer: update 2009]
- PMID: 19184022
- DOI: 10.1007/s00292-008-1105-0
[Prognostic and predictive factors of invasive breast cancer: update 2009]
Abstract
Prognostic factors supply information on the course of a disease (recurrence-free and total survival) and are independent of the therapy. The most important prognostic factors are lymph node status, tumor diameter and histological differentiation stage, lymph and blood vessel invasion as well as staging, factors which can all be determined by pathologists. The Nottingham prognostic index (NPI) combines the strongest prognostic factors and according to study results is a suitable model for prognosis of breast cancer. Predictive factors give prior information on the probability of the response of a tumor to a defined therapy and include hormone receptor status, the invasion marker uPA/PAI-1, detection of isolated tumor cells, a residual tumor and the histological resection border.Prognostic or predictive factors are clinically relevant when therapy decisions are made possible by their recognition, which lead to an improvement in the total survival, recurrence-free survival or quality of life. The international consensus recommendation of St. Gallen 2007 requires the following as a basis for risk-adapted therapy decisions: tumor size, stage, age, nodal status, hormone receptor status and Her2 overexpression or amplification status.
Similar articles
-
Prognostic Factors on the Positivity for Metastases of the Axillary Lymph Nodes from Primary Breast Cancer.Pril (Makedon Akad Nauk Umet Odd Med Nauki). 2017 Mar 1;38(1):81-90. doi: 10.1515/prilozi-2017-0011. Pril (Makedon Akad Nauk Umet Odd Med Nauki). 2017. PMID: 28593885
-
The Prognostic Effect of Changes in Tumor Stage and Nodal Status After Neoadjuvant Chemotherapy in Each Primary Breast Cancer Subtype.Clin Breast Cancer. 2018 Apr;18(2):e219-e229. doi: 10.1016/j.clbc.2017.09.013. Epub 2017 Oct 3. Clin Breast Cancer. 2018. PMID: 29138067
-
Determinants of lymph node status in women with breast cancer: A hospital based study from eastern India.Indian J Med Res. 2016 May;143(Supplement):S45-S51. doi: 10.4103/0971-5916.191761. Indian J Med Res. 2016. PMID: 27748277 Free PMC article.
-
[Modern pathologic diagnostics in breast cancer].Orv Hetil. 2012 Jan 8;153(1):22-30. doi: 10.1556/OH.2012.29251. Orv Hetil. 2012. PMID: 22204831 Review. Hungarian.
-
Prognostic factors. Stage and receptor status in breast cancer.Cancer. 1992 Sep 15;70(6 Suppl):1755-64. doi: 10.1002/1097-0142(19920915)70:4+<1755::aid-cncr2820701617>3.0.co;2-g. Cancer. 1992. PMID: 1516031 Review.
Cited by
-
Urokinase plasminogen activator (uPA) and plasminogen activator inhibitor type-1 (PAI-1) in breast cancer - correlation with traditional prognostic factors.Radiol Oncol. 2015 Nov 27;49(4):357-64. doi: 10.2478/raon-2014-0049. eCollection 2015 Dec. Radiol Oncol. 2015. PMID: 26834522 Free PMC article.
-
A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments.BioData Min. 2011 Jan 19;4(1):2. doi: 10.1186/1756-0381-4-2. BioData Min. 2011. PMID: 21247420 Free PMC article.
-
The changing role of pathology in breast cancer diagnosis and treatment.Pathobiology. 2011;78(2):99-114. doi: 10.1159/000292644. Epub 2011 Jun 14. Pathobiology. 2011. PMID: 21677473 Free PMC article. Review.
-
Relationship between Clinicopathologic Variables in Breast Cancer Overall Survival Using Biogeography-Based Optimization Algorithm.Biomed Res Int. 2019 Apr 1;2019:2304128. doi: 10.1155/2019/2304128. eCollection 2019. Biomed Res Int. 2019. PMID: 31058185 Free PMC article.
-
Impact of cyclooxygenase-2 over-expression on the prognosis of breast cancer patients.Ulus Cerrahi Derg. 2015 Jun 1;32(2):81-8. doi: 10.5152/UCD.2016.3146. eCollection 2016. Ulus Cerrahi Derg. 2015. PMID: 27436928 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous