Literature DB >> 21361242

How long have I had my cancer, doctor? Estimating tumor age via Collins' law.

Michael V Patrone1, Jessica L Hubbs, Janet E Bailey, Lawrence B Marks.   

Abstract

To estimate the"age" of cancers at the time of diagnosis, we reviewed data on the "time to local/regional recurrence" (LRF) following initial surgical resection for three common cancers, then applied a modified version of Collins' law. We conducted a systematic review of English medical literature to identify studies reporting LRF rates, over time, following surgery alone for breast, lung, or colorectal cancer. Patients who received radiation/hormones/chemotherapy were excluded since these therapies may alter tumor growth kinetics after surgery. For each disease, data were considered in three ways: 1) absolute cumulative LRF rate over time; 2) percentage of LRFs manifest over time (to facilitate comparisons between studies with different absolute magnitudes of LRFs); and 3) weighted average of the percentage of LRFs manifest over time. For breast cancer (based on data from 3043 patients from 5 studies), we found that the median time to LRF was 2.7 years. For lung cancer (based on data from 1190 patients from 4 studies), the median time to LRF was 1.5 years. For rectal cancer (based on data from 3334 patients from 10 studies), the median time to LRF was 1.5 years. Based on Collins' law, the distribution of time to LRF suggests that the age of most of the solid tumors studied was 3 to 6 years.

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Year:  2011        PMID: 21361242

Source DB:  PubMed          Journal:  Oncology (Williston Park)        ISSN: 0890-9091            Impact factor:   2.990


  4 in total

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Authors:  Ya-Fei Zhang; Zhi-Guo Rao; Jian-Fei Gao; Ping-Guang Xia; Dian-Chun Fang; Bi-Cheng Zhang
Journal:  Oncol Lett       Date:  2012-05-04       Impact factor: 2.967

2.  How early can pancreatic cancer be recognized? A case report and review of the literature.

Authors:  Qiang Nai; Hongxiu Luo; Ping Zhang; Mohammed Amzad Hossain; Ping Gu; Ibrahim W Sidhom; Teena Mathew; Mohammed Islam; Abdalla M Yousif; Shuvendu Sen
Journal:  Case Rep Oncol       Date:  2015-02-03

3.  A versatile 3D tissue matrix scaffold system for tumor modeling and drug screening.

Authors:  Girdhari Rijal; Weimin Li
Journal:  Sci Adv       Date:  2017-09-13       Impact factor: 14.136

4.  Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors.

Authors:  Cristina Vaghi; Anne Rodallec; Raphaëlle Fanciullino; Joseph Ciccolini; Jonathan P Mochel; Michalis Mastri; Clair Poignard; John M L Ebos; Sébastien Benzekry
Journal:  PLoS Comput Biol       Date:  2020-02-25       Impact factor: 4.475

  4 in total

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