Literature DB >> 170612

Solid tumor models for the assessment of different treatment modalities: I. Radiation-induced changes in growth rate characteristics of a solid tumor model.

W B Looney, J S Trefil, J C Schaffner, C J Kovacs, H A Hopkins.   

Abstract

A computer program has been developed to quantitatively evaluate changes in tumor growth rates of a solid tumor model (hepatoma 3924A) after a series of radiation doses from 375 R to 3750 R. The computer-derived growth curves are simulated from the volumes of the individual tumors rather than from the mean tumor volume at any specific time point after treatment. The ability to generate data from a family of tumor growth curves permits a more precise evaluation of therapeutic effects on tumors than can be obtained with conventional methods. The quantitative determination of equivalent amounts of radiation needed to produce comparable 5-fluorouracil-induced changes in tumor growth rate has been made. The ability to determine quantitatively radiotherapeutic and chemotherapy equivalents on these solid tumor models has direct implications in regard to our effort to improve the treatment of cancer. At present no specific solid tumor or groups of solid tumors have provided all of the necessary information for clinical utilization in therapeutic scheduling of different forms of cancer treatment. Since solid tumors comprise the majority of human cancer, one of the primary objectives of these studies has been the establishment of a solid tumor model that could serve both as a system for devising improved therapeutic scheduling and for a better understanding of solid tumors.

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Year:  1975        PMID: 170612      PMCID: PMC432830          DOI: 10.1073/pnas.72.7.2662

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  9 in total

1.  Cell proliferation and tumor growth in hepatomas 3924A.

Authors:  W B Looney; A A Mayo; M Y Janners; J G Mellon; P Allen; D Salak; H P Morris
Journal:  Cancer Res       Date:  1971-06       Impact factor: 12.701

Review 2.  The kinetics of tumour cell proliferation and radiotherapy.

Authors:  M Tubiana
Journal:  Br J Radiol       Date:  1971-05       Impact factor: 3.039

3.  The cell proliferation kinetics of four experimental tumors after acute X-irradiation.

Authors:  J Denekamp; R H Thomlinson
Journal:  Cancer Res       Date:  1971-09       Impact factor: 12.701

4.  Analysis of tumor growth curves.

Authors:  L A Dethlefsen; J M Prewitt; M L Mendelsohn
Journal:  J Natl Cancer Inst       Date:  1968-02       Impact factor: 13.506

5.  Changes of cell proliferation characteristics in a rat rhabdomyosarcoma before and after x-irradiation.

Authors:  A F Hermens; G W Barendsen
Journal:  Eur J Cancer       Date:  1969-05       Impact factor: 9.162

6.  A mathematical evaluation of tumour growth curves in rapid, intermediate and slow growing rat hepatomata.

Authors:  W B Looney; A A Mayo; P M Allen; J Y Morrow; H P Morris
Journal:  Br J Cancer       Date:  1973-04       Impact factor: 7.640

7.  DYNAMICS OF TUMOR GROWTH.

Authors:  A K LAIRD
Journal:  Br J Cancer       Date:  1964-09       Impact factor: 7.640

8.  Analysis of the cell population kinetics of transplanted tumours of widely-differing growth rate.

Authors:  G G Steel; K Adams; J C Barrett
Journal:  Br J Cancer       Date:  1966-12       Impact factor: 7.640

Review 9.  The growth rate of human tumours.

Authors:  G G Steel; L F Lamerton
Journal:  Br J Cancer       Date:  1966-03       Impact factor: 7.640

  9 in total
  5 in total

1.  Solid tumor models for the assessment of different treatment modalities: systematics of response to radiotherapy and chemotherapy.

Authors:  W B Looney; J S Trefil; J G Schaffner; C J Kovacs; H A Hopkins
Journal:  Proc Natl Acad Sci U S A       Date:  1976-03       Impact factor: 11.205

2.  Automated image analysis tool for tumor volume growth rate to guide precision cancer therapy: EGFR-mutant non-small-cell lung cancer as a paradigm.

Authors:  Mizuki Nishino; Satoshi Wakai; Tomoyuki Hida; Suzanne E Dahlberg; Masahiro Ozaki; Hiroto Hatabu; Hisashi Tachizaki; Bruce E Johnson
Journal:  Eur J Radiol       Date:  2018-10-23       Impact factor: 3.528

3.  Volumetric tumor growth in advanced non-small cell lung cancer patients with EGFR mutations during EGFR-tyrosine kinase inhibitor therapy: developing criteria to continue therapy beyond RECIST progression.

Authors:  Mizuki Nishino; Suzanne E Dahlberg; Stephanie Cardarella; David M Jackman; Michael S Rabin; Nikhil H Ramaiya; Hiroto Hatabu; Pasi A Jänne; Bruce E Johnson
Journal:  Cancer       Date:  2013-08-06       Impact factor: 6.860

4.  MicroRNA-based recombinant AAV vector assembly improves efficiency of suicide gene transfer in a murine model of lymphoma.

Authors:  Nusrat Khan; Sabna Cheemadan; Himanshi Saxena; Sridhar Bammidi; Giridhara R Jayandharan
Journal:  Cancer Med       Date:  2020-02-28       Impact factor: 4.452

5.  Solid tumour models for the assessment of different treatment modalities: IV. the combined effects of radiation and 5-fluorouracil.

Authors:  W B Looney; J G Schaffner; J S Trefil; C J Kovacs; H A Hopkins
Journal:  Br J Cancer       Date:  1976-09       Impact factor: 7.640

  5 in total

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