Literature DB >> 1913453

Relationship among outcome, stage of disease, and histologic grade for 22,616 cases of breast cancer. The basis for a prognostic index.

D E Henson1, L Ries, L S Freedman, M Carriaga.   

Abstract

Survival rates for 22,616 cases of breast cancer listed in the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute were stratified on outcome according to the histologic grade and stage of disease. Two different staging systems, "local, regional, and distant" and a modified American Joint Committee on Cancer (AJCC) system adopted for SEER were used. Relative survival rates were calculated at 5 and 10 years. Patients who were assigned Stage II, Grade 1 had the same survival as those assigned Stage I, Grade 3. Their survival was better than patients assigned Stage I, Grade 4. The 5-year relative survival rate for patients listed as Stage I, Grade 1 was 99% and for patients listed as Stage I, Grade 2, it was 98%. At 10 years, the survival rate of patients assigned Stage I, Grade 1 was 95%. Patients with histologic Grade 1 tumors less than 2 cm in size and with positive axillary lymph nodes had a 5-year survival rate of 99%. As breast tumors increased in size, the histologic grade also increased. The results suggest that in linking histologic grade with stage of disease, the staging system should also be considered. Histologic grade when used in conjunction with stage of disease can improve the prediction of outcome. Our results also indicate that a prognostic index can be created for breast cancer using a combination of stage of disease and histologic grade. The data suggest that only three grades are needed for breast cancer.

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Year:  1991        PMID: 1913453     DOI: 10.1002/1097-0142(19911115)68:10<2142::aid-cncr2820681010>3.0.co;2-d

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  41 in total

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2.  Clinical features and first degree relative breast cancer, their correlation with histological tumor grade: a 5-year retrospective case study of breast cancer in Mizoram, India.

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Journal:  Environ Sci Pollut Res Int       Date:  2019-11-25       Impact factor: 4.223

3.  Can molecular subtyping replace axillary nodal status as prognostic marker in breast cancer?

Authors:  Debarshi Jana; Diptendra Kumar Sarkar; Suvro Ganguly; Abhirup Banerjee; Asim Kumar Manna; Syamsundar Mandal
Journal:  Indian J Surg Oncol       Date:  2014-04-06

4.  Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

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Journal:  BMC Cancer       Date:  2018-05-30       Impact factor: 4.430

5.  Prognostic significance of grading in lung adenocarcinoma.

Authors:  Justine A Barletta; Beow Y Yeap; Lucian R Chirieac
Journal:  Cancer       Date:  2010-02-01       Impact factor: 6.860

6.  Potential prognostic value of heat-shock protein 90 in the presence of phosphatidylinositol-3-kinase overexpression or loss of PTEN, in invasive breast cancers.

Authors:  Chang Hoon Song; So Yeon Park; Keun-Yong Eom; Jee Hyun Kim; Sung-Won Kim; Jae Sung Kim; In Ah Kim
Journal:  Breast Cancer Res       Date:  2010-03-12       Impact factor: 6.466

7.  Genomic heterogeneity of breast tumor pathogenesis.

Authors:  Rachel E Ellsworth; Jeffrey A Hooke; Craig D Shriver; Darrell L Ellsworth
Journal:  Clin Med Oncol       Date:  2009-07-29

8.  Breast cancer in the personal genomics era.

Authors:  Rachel E Ellsworth; David J Decewicz; Craig D Shriver; Darrell L Ellsworth
Journal:  Curr Genomics       Date:  2010-05       Impact factor: 2.236

9.  Estrogen receptor-beta gene polymorphism in women with breast cancer at the Imam Khomeini Hospital Complex, Iran.

Authors:  Sakineh Abbasi
Journal:  BMC Med Genet       Date:  2010-07-07       Impact factor: 2.103

10.  An Algorithm for Creating Prognostic Systems for Cancer.

Authors:  Dechang Chen; Huan Wang; Li Sheng; Matthew T Hueman; Donald E Henson; Arnold M Schwartz; Jigar A Patel
Journal:  J Med Syst       Date:  2016-05-17       Impact factor: 4.460

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