Literature DB >> 11410511

Measures of cell turnover (proliferation and apoptosis) and their association with survival in breast cancer.

S Liu1, S M Edgerton, D H Moore, A D Thor.   

Abstract

Our objective was to investigate the prognostic significance of cell turnover (apoptosis and proliferation) in breast cancer patients. Apoptosis was microscopically quantitated on histological sections from 791 breast cancer patients with long-term follow-up (median, 16.3 years). Apoptotic counts were also compared with proliferation data (mitotic counts and MIB-1 labeling); apoptosis data derived from terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling (TUNEL) assay; and pathobiological variables, including p53, erbB-2, and estrogen receptor (ER). High apoptotic counts were associated with increased cellular proliferation, ER negativity, immunopositivity of erbB-2 and p53 (P < 0.0001), and shortened disease-specific survival (DSS; P = 0.0009) and disease-free survival (DFS; P = 0.0006). Other factors associated with shortened DFS and DSS by univariate analysis were high tumor grade, nodal metastases, and large tumor size (P < 0.0001 for each). Multivariate analysis of data for all of the patients demonstrated that tumor size, nodal status, ER, histological grade, and erbB-2 showed independent prognostic value. In node-negative patients, tumor size and mitotic rate per 1000 cells independently predicted DFS (P = 0.0055). Tumor grade was the only independent predictor of DSS. For node-positive patients, tumor size, nodal status, ER, and erbB-2 were independent prognostic factors. The number of mitoses per 1000 was independently associated with DFS (P = 0.043) but not with DSS. Apoptosis data did not provide independent prognostic value in any, node-positive or node-negative, breast cancer patients.

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Year:  2001        PMID: 11410511

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  43 in total

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Journal:  Cancer Res       Date:  2008-08-01       Impact factor: 12.701

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Review 3.  Natural Selection in Cancer Biology: From Molecular Snowflakes to Trait Hallmarks.

Authors:  Angelo Fortunato; Amy Boddy; Diego Mallo; Athena Aktipis; Carlo C Maley; John W Pepper
Journal:  Cold Spring Harb Perspect Med       Date:  2017-02-01       Impact factor: 6.915

4.  Microcalcifications in stone-obstructed human submandibular gland are associated with apoptosis and cell proliferation.

Authors:  Ivan Lau; Ajay Potluri; Cliff-Lawrence Ibeh; Robert S Redman; Edina Paal; Bidhan C Bandyopadhyay
Journal:  Arch Oral Biol       Date:  2017-06-07       Impact factor: 2.633

5.  Cyclo-oxygenase 2 expression is associated with angiogenesis and lymph node metastasis in human breast cancer.

Authors:  C Costa; R Soares; J S Reis-Filho; D Leitão; I Amendoeira; F C Schmitt
Journal:  J Clin Pathol       Date:  2002-06       Impact factor: 3.411

6.  Enhanced basal autophagy supports ameloblastoma-derived cell survival and reactivation.

Authors:  Rachel C Sharp; Olajumoke A Effiom; Anuradha Dhingra; Onatolu Odukoya; Adetokunbo Olawuyi; Godwin T Arotiba; Kathleen Boesze-Battaglia; Sunday O Akintoye
Journal:  Arch Oral Biol       Date:  2018-11-14       Impact factor: 2.633

7.  Cross-talk between Schwann cells and neuroblasts influences the biology of neuroblastoma xenografts.

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8.  Ki67: a time-varying biomarker of risk of breast cancer in atypical hyperplasia.

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9.  Monitoring apoptosis and Bcl-2 on circulating tumor cells in patients with metastatic breast cancer.

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Journal:  Mol Oncol       Date:  2013-03-14       Impact factor: 6.603

Review 10.  Genomic biomarkers for molecular imaging: predicting the future.

Authors:  Mathew L Thakur
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