Literature DB >> 18593893

Single-cell transcription site activation predicts chemotherapy response in human colorectal tumors.

Rossanna C Pezo1, Saumil J Gandhi, L Andrew Shirley, Richard G Pestell, Leonard H Augenlicht, Robert H Singer.   

Abstract

Candidate gene and pathway approaches, and unbiased gene expression profiling, have identified marker signatures predictive of tumor phenotypes, such as drug sensitivity and invasive or metastatic potential. However, application of such information to evaluation of tumors in the clinic is limited by cell heterogeneity in the tumor. We have developed a novel method of fluorescence in situ hybridization (FISH) that can detect transcriptional activation of individual genes at their site in single cells in the interphase nucleus. A major obstacle in the treatment of colorectal cancer is relative insensitivity to the chemotherapeutic agent 5-Fluorouracil (5-FU). Here, we have developed a sensitive approach to predict relative sensitivity of colorectal cancer cells to 5-FU, using FISH with probes targeted to nascent mRNAs to measure the number of individual cells with active transcription sites for a panel of candidate genes. These results reveal that the transcriptional status of four key genes, thymidylate synthase (TYMS), MORF-related gene X (MRGX), Bcl2-antagonist/killer (BAK), and ATPase, Cu(2+) transporting beta polypeptide (ATP7B), can accurately predict response to 5-FU. As proof of principle, we show that this transcriptional profile is predictive of response to 5-FU in a small number of patient colon tumor tissues. This approach provides a novel ability to identify and characterize unique minor cell populations in the tumor that may exhibit relative resistance to chemotherapy.

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Year:  2008        PMID: 18593893      PMCID: PMC3107669          DOI: 10.1158/0008-5472.CAN-07-6770

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


  17 in total

1.  Low-level c-myc amplification in human colonic carcinoma cell lines and tumors: a frequent, p53-independent mutation associated with improved outcome in a randomized multi-institutional trial.

Authors:  L H Augenlicht; S Wadler; G Corner; C Richards; L Ryan; A S Multani; S Pathak; A Benson; D Haller; B G Heerdt
Journal:  Cancer Res       Date:  1997-05-01       Impact factor: 12.701

2.  Single-cell gene expression profiling.

Authors:  Jeffrey M Levsky; Shailesh M Shenoy; Rossanna C Pezo; Robert H Singer
Journal:  Science       Date:  2002-08-02       Impact factor: 47.728

3.  Visualization of single RNA transcripts in situ.

Authors:  A M Femino; F S Fay; K Fogarty; R H Singer
Journal:  Science       Date:  1998-04-24       Impact factor: 47.728

4.  Ki-ras mutation and p53 overexpression predict the clinical behavior of colorectal cancer: a Southwest Oncology Group study.

Authors:  D J Ahnen; P Feigl; G Quan; C Fenoglio-Preiser; L C Lovato; P A Bunn; G Stemmerman; J D Wells; J S Macdonald; F L Meyskens
Journal:  Cancer Res       Date:  1998-03-15       Impact factor: 12.701

5.  Quantitation of intratumoral thymidylate synthase expression predicts for disseminated colorectal cancer response and resistance to protracted-infusion fluorouracil and weekly leucovorin.

Authors:  C G Leichman; H J Lenz; L Leichman; K Danenberg; J Baranda; S Groshen; W Boswell; R Metzger; M Tan; P V Danenberg
Journal:  J Clin Oncol       Date:  1997-10       Impact factor: 44.544

Review 6.  5-fluorouracil: mechanisms of action and clinical strategies.

Authors:  Daniel B Longley; D Paul Harkin; Patrick G Johnston
Journal:  Nat Rev Cancer       Date:  2003-05       Impact factor: 60.716

7.  Microsatellite instability is a predictive marker for survival benefit from adjuvant chemotherapy in a population-based series of stage III colorectal carcinoma.

Authors:  H Elsaleh; B Iacopetta
Journal:  Clin Colorectal Cancer       Date:  2001-08       Impact factor: 4.481

8.  p53 mutations as a possible predictor of response to chemotherapy in metastatic colorectal carcinomas.

Authors:  J Benhattar; J P Cerottini; E Saraga; G Metthez; J C Givel
Journal:  Int J Cancer       Date:  1996-06-21       Impact factor: 7.396

9.  p53 point mutation and survival in colorectal cancer patients.

Authors:  H S Goh; J Yao; D R Smith
Journal:  Cancer Res       Date:  1995-11-15       Impact factor: 12.701

10.  Gene expression profiling-based prediction of response of colon carcinoma cells to 5-fluorouracil and camptothecin.

Authors:  John M Mariadason; Diego Arango; Qiuhu Shi; Andrew J Wilson; Georgia A Corner; Courtney Nicholas; Maria J Aranes; Martin Lesser; Edward L Schwartz; Leonard H Augenlicht
Journal:  Cancer Res       Date:  2003-12-15       Impact factor: 12.701

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  5 in total

1.  mRNA quantification using single-molecule FISH in Drosophila embryos.

Authors:  Tatjana Trcek; Timothée Lionnet; Hari Shroff; Ruth Lehmann
Journal:  Nat Protoc       Date:  2016-06-08       Impact factor: 13.491

2.  CXCL4 mediates tumor regrowth after chemotherapy by suppression of antitumor immunity.

Authors:  Yang Zhang; Jing Gao; Xia Wang; Shaorong Deng; Hao Ye; Wen Guan; Mingyuan Wu; Shunying Zhu; Yan Yu; Wei Han
Journal:  Cancer Biol Ther       Date:  2015       Impact factor: 4.742

3.  Altered dynamics of intestinal cell maturation in Apc1638N/+ mice.

Authors:  Donghai Wang; Rossanna C Pezo; Georgia Corner; Cristina Sison; Martin L Lesser; Shailesh M Shenoy; John M Mariadason; Robert H Singer; Leonard H Augenlicht
Journal:  Cancer Res       Date:  2010-06-22       Impact factor: 12.701

4.  Reliability of tumor primary cultures as a model for drug response prediction: expression profiles comparison of tissues versus primary cultures from colorectal cancer patients.

Authors:  Gregory Lucien Bellot; Wei Han Tan; Ling Lee Tay; Dean Koh; Xueying Wang
Journal:  J Cancer Res Clin Oncol       Date:  2011-12-21       Impact factor: 4.553

5.  Minimizing off-target signals in RNA fluorescent in situ hybridization.

Authors:  Aaron Arvey; Anita Hermann; Cheryl C Hsia; Eugene Ie; Yoav Freund; William McGinnis
Journal:  Nucleic Acids Res       Date:  2010-02-17       Impact factor: 16.971

  5 in total

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