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Journal of Clinical Pathology logoLink to Journal of Clinical Pathology
. 1992 Jun;45(6):517–520. doi: 10.1136/jcp.45.6.517

Simplified method of grading primary carcinomas of the breast.

D M Parham 1, N Hagen 1, R A Brown 1
PMCID: PMC495227  PMID: 1624599

Abstract

AIMS: To produce a simplified prognostic index for breast cancer. METHODS: A retrospective study of 105 cases of primary infiltrating breast adenocarcinoma (not otherwise specified) was performed. Mitotic counts and semiquantitative assessment of tumour necrosis, fibrosis tubule formation, nuclear pleomorphism were made in histological sections of the primary tumour. Statistical analysis was performed to determine which of these parameters best predicts the observed survival. RESULTS: Mitotic count and necrosis correlated best with survival. This allowed the formation of a simple prognostic index based on these two parameters. CONCLUSIONS: This new prognostic index, with four tumour grades, seemed to be superior to Bloom's grading method, with greater separation of the prognostic groups. In particular, there is clear segregation of a group of patients with a distinctly poor prognosis.

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Selected References

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  1. BLOOM H. J., RICHARDSON W. W. Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years. Br J Cancer. 1957 Sep;11(3):359–377. doi: 10.1038/bjc.1957.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Baak J. P. Mitosis counting in tumors. Hum Pathol. 1990 Jul;21(7):683–685. doi: 10.1016/0046-8177(90)90026-2. [DOI] [PubMed] [Google Scholar]
  3. Baak J. P., Van Dop H., Kurver P. H., Hermans J. The value of morphometry to classic prognosticators in breast cancer. Cancer. 1985 Jul 15;56(2):374–382. doi: 10.1002/1097-0142(19850715)56:2<374::aid-cncr2820560229>3.0.co;2-9. [DOI] [PubMed] [Google Scholar]
  4. Dixon J. M., Page D. L., Anderson T. J., Lee D., Elton R. A., Stewart H. J., Forrest A. P. Long-term survivors after breast cancer. Br J Surg. 1985 Jun;72(6):445–448. doi: 10.1002/bjs.1800720614. [DOI] [PubMed] [Google Scholar]
  5. Fisher E. R., Palekar A. S., Gregorio R. M., Redmond C., Fisher B. Pathological findings from the national surgical adjuvant breast project (Protocol No. 4). IV. Significance of tumor necrosis. Hum Pathol. 1978 Sep;9(5):523–530. doi: 10.1016/s0046-8177(78)80133-6. [DOI] [PubMed] [Google Scholar]
  6. Parham D. M., Robertson A. J., Brown R. A. Morphometric analysis of breast carcinoma: association with survival. J Clin Pathol. 1988 Feb;41(2):173–177. doi: 10.1136/jcp.41.2.173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Quinn C. M., Wright N. A. The clinical assessment of proliferation and growth in human tumours: evaluation of methods and applications as prognostic variables. J Pathol. 1990 Feb;160(2):93–102. doi: 10.1002/path.1711600202. [DOI] [PubMed] [Google Scholar]
  8. Russo J., Frederick J., Ownby H. E., Fine G., Hussain M., Krickstein H. I., Robbins T. O., Rosenberg B. Predictors of recurrence and survival of patients with breast cancer. Am J Clin Pathol. 1987 Aug;88(2):123–131. doi: 10.1093/ajcp/88.2.123. [DOI] [PubMed] [Google Scholar]
  9. Stenkvist B., Bengtsson E., Dahlqvist B., Eklund G., Eriksson O., Jarkrans T., Nordin B. Predicting breast cancer recurrence. Cancer. 1982 Dec 15;50(12):2884–2893. doi: 10.1002/1097-0142(19821215)50:12<2884::aid-cncr2820501231>3.0.co;2-k. [DOI] [PubMed] [Google Scholar]

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