Literature DB >> 19383293

Gene expression profiling of human lymph node metastases and matched primary breast carcinomas: clinical implications.

Mika Suzuki1, David Tarin.   

Abstract

The genetic program that drives tumor metastasis and the mode and timing of its initiation are of great practical significance to clinical management. Modern technical advances open new opportunities for gaining useful relevant information. Gene expression profiles of histologically-verified viable tissue from lymph node metastases were compared with those of matched primary breast cancers from 10 different patients, among samples from over 400 cases, using high-throughput oligonucleotide arrays comprising probes for 22,000 genes. It was observed that metastases have very similar expression signatures to their parent tumors. However, detailed computational analysis revealed that a small number of genes were consistently differentially expressed between 100% of tumors and metastases, suggesting that these are mechanistically important. Lists of such candidate genes, of potential clinical interest, are provided. We interpret these results in the framework of a meta-analysis of previous investigations by others and ourselves and of existing clinical knowledge on the behavior of human tumors. The collective data show that metastases resemble their primary tumors but the signatures obtained in different studies are not sufficiently reproducible or informative to be prognostically useful, although they do give valuable insights into the pathogenesis and biology of human tumor metastasis. The findings indicate that the genetic program encoding metastasis is implemented progressively over time although, occasionally, this evolution can occur rapidly, early in the life of the neoplasm. The important clinical significance of this deduction is that, in most patients, early detection provides time for appropriate therapeutic intervention to be effective in obstructing metastasis.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 19383293      PMCID: PMC5543892          DOI: 10.1016/j.molonc.2007.03.005

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


  34 in total

1.  Gene-expression profiling in breast cancer.

Authors:  Tor-Kristian Jenssen; Eivind Hovig
Journal:  Lancet       Date:  2005 Feb 19-25       Impact factor: 79.321

2.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.

Authors:  Yixin Wang; Jan G M Klijn; Yi Zhang; Anieta M Sieuwerts; Maxime P Look; Fei Yang; Dmitri Talantov; Mieke Timmermans; Marion E Meijer-van Gelder; Jack Yu; Tim Jatkoe; Els M J J Berns; David Atkins; John A Foekens
Journal:  Lancet       Date:  2005 Feb 19-25       Impact factor: 79.321

3.  Metastasis results from preexisting variant cells within a malignant tumor.

Authors:  I J Fidler; M L Kripke
Journal:  Science       Date:  1977-08-26       Impact factor: 47.728

4.  The distribution of secondary growths in cancer of the breast. 1889.

Authors:  S Paget
Journal:  Cancer Metastasis Rev       Date:  1989-08       Impact factor: 9.264

5.  Differentially expressed genes between primary cancer and paired lymph node metastases predict clinical outcome of node-positive breast cancer patients.

Authors:  Yumei Feng; Baocun Sun; Xiaoqing Li; Liang Zhang; Yun Niu; Chunhua Xiao; Liansheng Ning; Zhiyi Fang; Yuli Wang; Lina Zhang; Jing Cheng; Wei Zhang; Xishan Hao
Journal:  Breast Cancer Res Treat       Date:  2006-11-23       Impact factor: 4.872

6.  Molecular portraits and 70-gene prognosis signature are preserved throughout the metastatic process of breast cancer.

Authors:  Britta Weigelt; Zhiyuan Hu; Xiaping He; Chad Livasy; Lisa A Carey; Matthew G Ewend; Annuska M Glas; Charles M Perou; Laura J Van't Veer
Journal:  Cancer Res       Date:  2005-10-15       Impact factor: 12.701

Review 7.  Specificity of arrest, survival, and growth of selected metastatic variant cell lines.

Authors:  G L Nicolson; K W Brunson; I J Fidler
Journal:  Cancer Res       Date:  1978-11       Impact factor: 12.701

8.  Distinguishing key biological pathways between primary breast cancers and their lymph node metastases by gene function-based clustering analysis.

Authors:  Harri Lähdesmäki; Xishan Hao; Baocun Sun; Limei Hu; Olli Yli-Harja; Ilya Shmulevich; Wei Zhang
Journal:  Int J Oncol       Date:  2004-06       Impact factor: 5.650

9.  Tumor-stromal interactions reciprocally modulate gene expression patterns during carcinogenesis and metastasis.

Authors:  Valérie Montel; Evangeline Sari Mose; David Tarin
Journal:  Int J Cancer       Date:  2006-07-15       Impact factor: 7.396

10.  Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application.

Authors:  C Li; W Hung Wong
Journal:  Genome Biol       Date:  2001-08-03       Impact factor: 13.583

View more
  46 in total

Review 1.  AACR centennial series: the biology of cancer metastasis: historical perspective.

Authors:  James E Talmadge; Isaiah J Fidler
Journal:  Cancer Res       Date:  2010-07-07       Impact factor: 12.701

2.  Is metastasis predetermined?

Authors:  Robert A Weinberg
Journal:  Mol Oncol       Date:  2007-07-21       Impact factor: 6.603

3.  Molecular Classification of Lymph Node Metastases Subtypes Predict for Survival in Head and Neck Cancer.

Authors:  Lei Huang; Odile David; Robert J Cabay; Klara Valyi-Nagy; Virgilia Macias; Rong Zhong; Barry Wenig; Lawrence Feldman; Ralph Weichselbaum; Michael T Spiotto
Journal:  Clin Cancer Res       Date:  2018-12-20       Impact factor: 12.531

4.  Heterogeneity of drug target expression among metastatic lesions: lessons from a breast cancer autopsy program.

Authors:  Patricia S Steeg
Journal:  Clin Cancer Res       Date:  2008-06-15       Impact factor: 12.531

5.  St Gallen molecular subtypes in feline mammary carcinoma and paired metastases-disease progression and clinical implications from a 3-year follow-up study.

Authors:  M Soares; J Correia; M C Peleteiro; F Ferreira
Journal:  Tumour Biol       Date:  2015-10-20

6.  Biological resonance for cancer metastasis, a new hypothesis based on comparisons between primary cancers and metastases.

Authors:  Dongwei Gao; Sha Li
Journal:  Cancer Microenviron       Date:  2013-11-10

Review 7.  COL11A1/(pro)collagen 11A1 expression is a remarkable biomarker of human invasive carcinoma-associated stromal cells and carcinoma progression.

Authors:  Fernando Vázquez-Villa; Marcos García-Ocaña; José A Galván; Jorge García-Martínez; Carmen García-Pravia; Primitiva Menéndez-Rodríguez; Carmen González-del Rey; Luis Barneo-Serra; Juan R de Los Toyos
Journal:  Tumour Biol       Date:  2015-03-12

8.  Frequent genetic differences between matched primary and metastatic breast cancer provide an approach to identification of biomarkers for disease progression.

Authors:  Andrzej B Popławski; Michał Jankowski; Stephen W Erickson; Teresita Díaz de Ståhl; E Christopher Partridge; Chiquito Crasto; Jingyu Guo; John Gibson; Uwe Menzel; Carl Eg Bruder; Aneta Kaczmarczyk; Magdalena Benetkiewicz; Robin Andersson; Johanna Sandgren; Barbara Zegarska; Dariusz Bała; Ewa Srutek; David B Allison; Arkadiusz Piotrowski; Wojciech Zegarski; Jan P Dumanski
Journal:  Eur J Hum Genet       Date:  2010-01-06       Impact factor: 4.246

9.  Tumor suppressor genes are frequently methylated in lymph node metastases of breast cancers.

Authors:  Weiwei Feng; Rosaria Orlandi; Naiqing Zhao; Maria Luisa Carcangiu; Elda Tagliabue; Jia Xu; Robert C Bast; Yinhua Yu
Journal:  BMC Cancer       Date:  2010-07-20       Impact factor: 4.430

10.  A single lysis solution for the analysis of tissue samples by different proteomic technologies.

Authors:  Pavel Gromov; Julio E Celis; Irina Gromova; Fritz Rank; Vera Timmermans-Wielenga; José M A Moreira
Journal:  Mol Oncol       Date:  2008-10-02       Impact factor: 6.603

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.