Literature DB >> 2116393

Tumor growth rate and prognosis of breast cancer mainly detected by mass screening.

T Kuroishi1, S Tominaga, T Morimoto, H Tashiro, S Itoh, H Watanabe, M Fukuda, J Ota, T Horino, T Ishida.   

Abstract

To investigate the relationship between the tumor growth rate of the primary breast cancer and its prognosis, records for 122 breast cancer patients in 9 hospitals in Japan were retrospectively reviewed. These records contained at least two measurements of the same tumor mass in the breast. So the growth rate was estimated from these measurements taken at different points in time. The doubling time of the breast tumors showed an approximately log-normal distribution. The geometric mean of doubling times for all cases was 174 days. The solid-tubular histologic type of carcinoma had the shortest geometric mean of doubling time (126 days), the scirrhous carcinoma had the second shortest one (205 days), and the papillotubular carcinoma had the longest one (252 days). The patients with shorter doubling time of tumor tended to have a poorer prognosis. The Cox multiple regression analysis showed that the tumor growth rate was related significantly with survival, after adjusting for other covariates such as clinical stage, lymph node metastasis, age of patient, histological type, and year of treatment.

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Year:  1990        PMID: 2116393      PMCID: PMC5918060          DOI: 10.1111/j.1349-7006.1990.tb02591.x

Source DB:  PubMed          Journal:  Jpn J Cancer Res        ISSN: 0910-5050


  19 in total

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  20 in total

1.  Growth of Breast Cancer and Limited Surgery.

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Journal:  Breast Cancer       Date:  1996-03-29       Impact factor: 4.239

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Authors:  Anne Talkington; Rick Durrett
Journal:  Bull Math Biol       Date:  2015-10       Impact factor: 1.758

4.  Estimation of Solid Tumor Doubling Times from Progression-Free Survival Plots Using a Novel Statistical Approach.

Authors:  Katherine Kay; Keith Dolcy; Robert Bies; Dhaval K Shah
Journal:  AAPS J       Date:  2019-02-08       Impact factor: 4.009

5.  Tumor Volume Doubling Time as a Dynamic Prognostic Marker for Patients with Hepatocellular Carcinoma.

Authors:  Jong Kwan Kim; Hyung-Don Kim; Mi-Jung Jun; Sung-Cheol Yun; Ju Hyun Shim; Han Chu Lee; Danbi Lee; Jihyun An; Young-Suk Lim; Young-Hwa Chung; Yung Sang Lee; Kang Mo Kim
Journal:  Dig Dis Sci       Date:  2017-08-16       Impact factor: 3.199

6.  Demographic and pathologic factor regression to a growth rate model of p16-negative oral cavity squamous cell carcinoma.

Authors:  Jacob G J Wihlidal; Keng Yeow Tay; S Danielle MacNeil; Anthony C Nichols; Kevin Fung; John H J Yoo; Adrian I Mendez
Journal:  Laryngoscope Investig Otolaryngol       Date:  2022-08-16

7.  Tumour volume doubling time of molecular breast cancer subtypes assessed by serial breast ultrasound.

Authors:  Eun Bi Ryu; Jung Min Chang; Mirinae Seo; Sun Ah Kim; Ji He Lim; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2014-06-04       Impact factor: 5.315

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Journal:  N Engl J Med       Date:  2009-02-05       Impact factor: 91.245

9.  Modeling protective anti-tumor immunity via preventative cancer vaccines using a hybrid agent-based and delay differential equation approach.

Authors:  Peter S Kim; Peter P Lee
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

10.  Detection of cancer before distant metastasis.

Authors:  Frank A W Coumans; Sabine Siesling; Leon W M M Terstappen
Journal:  BMC Cancer       Date:  2013-06-13       Impact factor: 4.430

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