Literature DB >> 7923164

Intratumor variability in prognostic indicators may be the cause of conflicting estimates of patient survival and response to therapy.

S C Barranco1, R R Perry, M E Durm, A L Werner, S G Gregorcyk, W E Bolton, P Kolm, C M Townsend.   

Abstract

The DNA index, percentage of S-phase cells, proliferation fraction, and glutathione (GSH) content were determined at more than 1100 separate sites in 140 human tumors and 140 normal tissues. The study showed that the variability was so great from site to site within a tumor that there was only a 61% chance of identifying an aneuploid tumor clone (when present) if only a single site sample was analyzed for DNA content. Similar broad variability was observed in the percentage of S-phase cells, proliferation fraction, and glutathione content. Since these tumor characteristics are often used to predict the outcome of therapy and patient survival, the inaccuracy and underestimation of the test results may cause conflicting or erroneous predictions. The probability of finding an aneuploid clone or elevated percentage of S-phase cells proliferation fraction and GSH content increased dramatically as the number of sample sites studied per tumor was increased. Statistical analyses indicated that in order to achieve a 90% probability that the test results for these parameters were representative of the whole tumor: (a) all single site testing should be abandoned; (b) assays should be performed on samples taken from 3-7 different sites within each tumor; or (c) samples from each tumor should be pooled and the analyses run on a thoroughly mixed or homogenized aliquot of the multisite sample.

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Year:  1994        PMID: 7923164

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

1.  In vivo MR studies of glycine and glutathione metabolism in a rat mammary tumor.

Authors:  Peter E Thelwall; Nicholas E Simpson; Zahid N Rabbani; M Daniel Clark; Roxana Pourdeyhimi; Jeffrey M Macdonald; Stephen J Blackband; Michael P Gamcsik
Journal:  NMR Biomed       Date:  2011-07-12       Impact factor: 4.044

2.  Prognostic gene expression signatures can be measured in tissues collected in RNAlater preservative.

Authors:  Dondapati Chowdary; Jessica Lathrop; Joanne Skelton; Kathleen Curtin; Thomas Briggs; Yi Zhang; Jack Yu; Yixin Wang; Abhijit Mazumder
Journal:  J Mol Diagn       Date:  2006-02       Impact factor: 5.568

3.  An approach to identify, from DCE MRI, significant subvolumes of tumors related to outcomes in advanced head-and-neck cancer.

Authors:  Peng Wang; Aron Popovtzer; Avraham Eisbruch; Yue Cao
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

Review 4.  Glutathione levels in human tumors.

Authors:  Michael P Gamcsik; Mohit S Kasibhatla; Stephanie D Teeter; O Michael Colvin
Journal:  Biomarkers       Date:  2012-08-20       Impact factor: 2.658

5.  A clonal expression biomarker associates with lung cancer mortality.

Authors:  Dhruva Biswas; Nicolai J Birkbak; Rachel Rosenthal; Crispin T Hiley; Emilia L Lim; Krisztian Papp; Stefan Boeing; Marcin Krzystanek; Dijana Djureinovic; Linnea La Fleur; Maria Greco; Balázs Döme; János Fillinger; Hans Brunnström; Yin Wu; David A Moore; Marcin Skrzypski; Christopher Abbosh; Kevin Litchfield; Maise Al Bakir; Thomas B K Watkins; Selvaraju Veeriah; Gareth A Wilson; Mariam Jamal-Hanjani; Judit Moldvay; Johan Botling; Arul M Chinnaiyan; Patrick Micke; Allan Hackshaw; Jiri Bartek; Istvan Csabai; Zoltan Szallasi; Javier Herrero; Nicholas McGranahan; Charles Swanton
Journal:  Nat Med       Date:  2019-10-07       Impact factor: 53.440

6.  Prognostic significance of multidrug-resistance protein (MDR-1) in renal clear cell carcinomas: a five year follow-up analysis.

Authors:  Chiara Mignogna; Stefania Staibano; Vincenzo Altieri; Gaetano De Rosa; Giuseppe Pannone; Angela Santoro; Rosanna Zamparese; Massimino D'Armiento; Romualdo Rocchetti; Ernesto Mezza; Mario Nasti; Viviana Strazzullo; Vittorino Montanaro; Massimo Mascolo; Pantaleo Bufo
Journal:  BMC Cancer       Date:  2006-12-19       Impact factor: 4.430

7.  Heterogeneity in renal cell carcinoma and its impact no prognosis--a flow cytometric study.

Authors:  B Ljungberg; C Mehle; R Stenling; G Roos
Journal:  Br J Cancer       Date:  1996-07       Impact factor: 7.640

8.  The clonal expression genes associated with poor prognosis of liver cancer.

Authors:  Wanfeng Zhang; Fang Huang; Xia Tang; Longke Ran
Journal:  Front Genet       Date:  2022-08-25       Impact factor: 4.772

9.  In vivo assessment of cancerous tumors using boron doped diamond microelectrode.

Authors:  Stéphane Fierro; Momoko Yoshikawa; Osamu Nagano; Kenji Yoshimi; Hideyuki Saya; Yasuaki Einaga
Journal:  Sci Rep       Date:  2012-11-29       Impact factor: 4.379

10.  Outcome after extended follow-up in a prospective study of operable breast cancer: key factors and a prognostic index.

Authors:  R A Hawkins; A L Tesdale; R J Prescott; T Forster; M A McIntyre; P Baker; W J L Jack; U Chetty; J M Dixon; M E Killen; M J Hulme; W R Miller
Journal:  Br J Cancer       Date:  2002-07-01       Impact factor: 7.640

  10 in total

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