Literature DB >> 3409443

Variability of tumor response to chemotherapy. II. Contribution of tumor heterogeneity.

L Simpson-Herren1, P E Noker, S D Wagoner.   

Abstract

The role of tumor-to-tumor variability in response to chemotherapy was investigated in mice bearing mammary adenocarcinoma 16/C treated with melphalan. Lissamine green, a triphenylmethane dye, was given systemically to delineate areas of perfusion in the tumors. The regions of low perfusion ranged from less than 10% to greater than 90% of the mass of individual tumors. The variation in perfusion was as large between bilateral tumors in a mouse as between tumors in different hosts. The presence of viable cells capable of continued growth in the regions of low perfusion was demonstrated by bioassay. Concentrations of melphalan following i.p. administration varied by as much as tenfold or more between regions of low and high perfusion. Concentrations of melphalan in the well-perfused regions were similar to plasma concentrations at 30 min after administration, but elimination from the plasma was more rapid. The levels of melphalan in the tumor were higher following the initial dose than following succeeding doses in a multiple dose schedule. The results indicate that tumor-to-tumor variations in perfusion and drug distribution are major factors in variable tumor response.

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Year:  1988        PMID: 3409443     DOI: 10.1007/bf00257310

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


  21 in total

1.  Quantitative techniques for study of the anatomy and function of small blood vessels in tumors.

Authors:  I F Tannock; G G Steel
Journal:  J Natl Cancer Inst       Date:  1969-05       Impact factor: 13.506

2.  Studies on the distribution of blood flow in amelanotic melanoma and reticulum cell lymphosarcoma during growth.

Authors:  D V Lewis; N Staley; W Rogers; R F Edlich
Journal:  Cancer Res       Date:  1968-08       Impact factor: 12.701

3.  Differences between melphalan and nitrogen mustard in the formation and removal of DNA cross-links.

Authors:  W E Ross; R A Ewig; K W Kohn
Journal:  Cancer Res       Date:  1978-06       Impact factor: 12.701

4.  Measurement of local cerebral blood flow with iodo [14C] antipyrine.

Authors:  O Sakurada; C Kennedy; J Jehle; J D Brown; G L Carbin; L Sokoloff
Journal:  Am J Physiol       Date:  1978-01

5.  Sensitivity of proliferating cultured murine pancreatic tumor cells to selected antitumor agents.

Authors:  L J Wilkoff; E A Dulmadge
Journal:  J Natl Cancer Inst       Date:  1986-11       Impact factor: 13.506

6.  Biology and therapeutic response of a mouse mammary adenocarcinoma (16/C) and its potential as a model for surgical adjuvant chemotherapy.

Authors:  T H Corbett; D P Griswold; B J Roberts; J C Peckham; F M Schabel
Journal:  Cancer Treat Rep       Date:  1978-10

7.  Variability of tumor response to chemotherapy. I. Contribution of host heterogeneity.

Authors:  L Simpson-Herren; P E Noker; S D Wagoner
Journal:  Cancer Chemother Pharmacol       Date:  1987       Impact factor: 3.333

8.  Intratumor distribution of blood flow and of vascular volume in a transplantable rat sarcoma.

Authors:  L Karlsson; M Alpsten; K L Appelgren; H I Peterson
Journal:  J Cancer Res Clin Oncol       Date:  1980       Impact factor: 4.553

9.  The penetration of cytotoxins into malignant tumours.

Authors:  D C Rowe-Jones
Journal:  Br J Cancer       Date:  1968-03       Impact factor: 7.640

10.  Self-regulation of growth in three dimensions.

Authors:  J Folkman; M Hochberg
Journal:  J Exp Med       Date:  1973-10-01       Impact factor: 14.307

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  15 in total

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Authors:  M M Uttenreuther-Fischer; H Feistel; F Wolf; W Jäger
Journal:  J Clin Lab Anal       Date:  1997       Impact factor: 2.352

2.  Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer.

Authors:  William T C Yuh; Nina A Mayr; David Jarjoura; Dee Wu; John C Grecula; Simon S Lo; Susan M Edwards; Vincent A Magnotta; Steffen Sammet; Hualin Zhang; Joseph F Montebello; Jeffrey Fowler; Michael V Knopp; Jian Z Wang
Journal:  Invest Radiol       Date:  2009-06       Impact factor: 6.016

3.  Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.

Authors:  Stephen R Bowen; William T C Yuh; Daniel S Hippe; Wei Wu; Savannah C Partridge; Saba Elias; Guang Jia; Zhibin Huang; George A Sandison; Dennis Nelson; Michael V Knopp; Simon S Lo; Paul E Kinahan; Nina A Mayr
Journal:  J Magn Reson Imaging       Date:  2017-10-16       Impact factor: 4.813

4.  Microcirculatory fraction (MCF(I)) as a potential imaging marker for tumor heterogeneity in breast cancer.

Authors:  Xiangyu Yang; Ewa Mrozek; Maryam Lustberg; Guang Jia; Steffen Sammet; Christina Sammet; Charles Shapiro; Michael V Knopp
Journal:  Magn Reson Imaging       Date:  2012-08-11       Impact factor: 2.546

5.  Distribution of nitroimidazoles and L-phenylalanine mustard in mammary adenocarcinoma 16/C tumors.

Authors:  P E Noker; L Simpson-Herren; S D Wagoner
Journal:  Cancer Chemother Pharmacol       Date:  1987       Impact factor: 3.333

Review 6.  Tumor models in drug development.

Authors:  D P Griswold; S D Harrison
Journal:  Cancer Metastasis Rev       Date:  1991-10       Impact factor: 9.264

7.  Cellular heterogeneity profiling by hyaluronan probes reveals an invasive but slow-growing breast tumor subset.

Authors:  Mandana Veiseh; Daniel H Kwon; Alexander D Borowsky; Cornelia Tolg; Hon S Leong; John D Lewis; Eva A Turley; Mina J Bissell
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-14       Impact factor: 11.205

Review 8.  Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review.

Authors:  Xiangyu Yang; Michael V Knopp
Journal:  J Biomed Biotechnol       Date:  2011-04-26

9.  A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma.

Authors:  Rui Zhang; Lei Xu; Xue Wen; Jiahui Zhang; Pengfei Yang; Lixia Zhang; Xing Xue; Xiaoli Wang; Qiang Huang; Chuangen Guo; Yanjun Shi; Tianye Niu; Feng Chen
Journal:  Quant Imaging Med Surg       Date:  2019-09

Review 10.  Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome.

Authors:  James P B O'Connor; Chris J Rose; John C Waterton; Richard A D Carano; Geoff J M Parker; Alan Jackson
Journal:  Clin Cancer Res       Date:  2014-11-24       Impact factor: 12.531

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