Abstract

In a study of 1,010 patients with solitary, unilateral, nonmetastatic breast cancer, the histologic grade, assessed by a multifactorial analysis (Cox model) to study its significance with other prognostic factors, was found to be an important, independent factor. For 612 operable patients, two laboratory characteristics, the number of histologically positive nodes and the histologic grade, were the most valuable predictors. These two factors alone form a predictive index that may be an excellent and simple guide for the clinical decision of subsequent therapy. For 398 patients with inoperable breast cancer (ie, tumor greater than or equal to 7 cm, N2-3, inflammatory, skin fixation, and clinically rapidly growing forms), the histologic grade (performed on drill or cutting needle biopsy) was again a most important (and with inflammatory forms the most important) predictor of prognosis in these patients. Our data support that performing our modified histoprognostic grading of Scarff and Bloom is simple, reproducible, incurs no additional cost, may be carried out in the simplest histology laboratory, and finally, defines an important risk factor in all patients. It should be routine for all breast cancer specimens. Furthermore, studies of adjuvant therapy should stratify patients for this variable.

Keywords

MedicineGrading (engineering)Breast cancerHistologyInternal medicineBiopsyOncologyAdjuvant therapyCancerPathologyRadiology

MeSH Terms

AdultAgedBreast NeoplasmsFemaleHumansMiddle AgedPrognosisTime Factors

Related Publications

Publication Info

Year
1987
Type
article
Volume
5
Issue
9
Pages
1378-1386
Citations
264
Access
Closed

Citation Metrics

264
OpenAlex
4
Influential
210
CrossRef

Cite This

G Contesso, H Mouriesse, Sam Friedman et al. (1987). The importance of histologic grade in long-term prognosis of breast cancer: a study of 1,010 patients, uniformly treated at the Institut Gustave-Roussy.. Journal of Clinical Oncology , 5 (9) , 1378-1386. https://doi.org/10.1200/jco.1987.5.9.1378

Identifiers

DOI
10.1200/jco.1987.5.9.1378
PMID
3625256

Data Quality

Data completeness: 81%