Literature DB >> 11134192

Omission of histologic grading from clinical decision making may result in overuse of adjuvant therapies in breast cancer: results from a nationwide study.

J Lundin1, M Lundin, K Holli, V Kataja, L Elomaa, L Pylkkänen, T Turpeenniemi-Hujanen, H Joensuu.   

Abstract

PURPOSE: To investigate the influence of routinely performed histologic grading on breast cancer outcome prediction and patient selection for adjuvant therapy. PATIENTS AND METHODS: The analysis is based on a cohort of 2,842 women diagnosed with breast cancer and comprising 91% of all breast cancers diagnosed in five defined geographical regions in Finland in 1991 through 1992. Data on clinicopathologic factors and follow-up were collected from hospital case records and national registries. Histologic grade assessed at diagnosis and other clinicopathologic data were available for 1,554 operable unilateral invasive carcinomas. The relative value of grade with respect to competing prognostic factors was estimated with the Cox proportional hazards model and logistic regression. Interactions and nonlinearity of factors were accounted for by using an artificial neural network.
RESULTS: Histologic grade was correlated strongly with survival in the entire series and in all subgroups studied. Women with well-differentiated node-negative cancer had a 97% 5-year distant disease-free survival rate as compared with 78% for women with poorly differentiated cancer. Grade was an independent prognostic factor in multivariate models and increased the predictive accuracy of a neural network model. Inclusion of grade data in a Cox multivariate model based on tumor size and hormone receptor status in node-negative cancer increased the proportion of patients with 5% or less risk for distant recurrence at 5 years from 15% to 54%.
CONCLUSION: Even when assessed by pathologists who have no special training in breast cancer pathology, histologic grade has substantial and independent prognostic value in breast cancer. Omission of grading from clinical decision making may result in considerable overuse of adjuvant therapies.

Entities:  

Mesh:

Year:  2001        PMID: 11134192     DOI: 10.1200/JCO.2001.19.1.28

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  18 in total

1.  A web-based system for individualised survival estimation in breast cancer.

Authors:  Johan Lundin; Mikael Lundin; Jorma Isola; Heikki Joensuu
Journal:  BMJ       Date:  2003-01-04

Review 2.  Molecular basis for therapy resistance.

Authors:  Per E Lønning
Journal:  Mol Oncol       Date:  2010-04-24       Impact factor: 6.603

3.  Accuracy of typing and grading invasive mammary carcinomas on core needle biopsy compared with the excisional specimen.

Authors:  Victor Piana de Andrade; Helenice Gobbi
Journal:  Virchows Arch       Date:  2004-10-08       Impact factor: 4.064

4.  Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system.

Authors:  Min Yi; Elizabeth A Mittendorf; Janice N Cormier; Thomas A Buchholz; Karl Bilimoria; Aysegul A Sahin; Gabriel N Hortobagyi; Ana Maria Gonzalez-Angulo; Sheng Luo; Aman U Buzdar; Jaime R Crow; Henry M Kuerer; Kelly K Hunt
Journal:  J Clin Oncol       Date:  2011-11-14       Impact factor: 44.544

5.  The Gene Mutation Spectrum of Breast Cancer Analyzed by Semiconductor Sequencing Platform.

Authors:  Yanhui Liu; Bo Yang; Xiaoyan Zhang; Quanfei Huang; Hailiang Liu
Journal:  Pathol Oncol Res       Date:  2018-11-16       Impact factor: 3.201

Review 6.  Breast Cancer in Low- and Middle-Income Countries: Why We Need Pathology Capability to Solve This Challenge.

Authors:  Yehoda M Martei; Lydia E Pace; Jane E Brock; Lawrence N Shulman
Journal:  Clin Lab Med       Date:  2017-12-13       Impact factor: 1.935

7.  Normal and tumor-derived myoepithelial cells differ in their ability to interact with luminal breast epithelial cells for polarity and basement membrane deposition.

Authors:  Thorarinn Gudjonsson; Lone Rønnov-Jessen; René Villadsen; Fritz Rank; Mina J Bissell; Ole William Petersen
Journal:  J Cell Sci       Date:  2002-01-01       Impact factor: 5.285

Review 8.  Myoepithelial cells: their origin and function in breast morphogenesis and neoplasia.

Authors:  Thorarinn Gudjonsson; Melissa C Adriance; Mark D Sternlicht; Ole W Petersen; Mina J Bissell
Journal:  J Mammary Gland Biol Neoplasia       Date:  2005-07       Impact factor: 2.673

9.  Should Histologic Grade Be Incorporated into the TNM Classification System for Small (T1, T2) Node-Negative Breast Adenocarcinomas?

Authors:  Mathew Purdom; Michael L Cibull; Terry D Stratton; Luis M Samayoa; Edward H Romond; Patrick C McGrath; Rouzan G Karabakhtsian
Journal:  Patholog Res Int       Date:  2010-10-26

10.  Analysis of the potent prognostic factors in luminal-type breast cancer.

Authors:  Han-Sung Kim; Inseok Park; Hyun Jin Cho; Geumhee Gwak; Keunho Yang; Byung Noe Bae; Ki Whan Kim; Sehwan Han; Hong-Joo Kim; Young-Duck Kim
Journal:  J Breast Cancer       Date:  2012-12-31       Impact factor: 3.588

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