Detection of gene expression in sentinel lymph node of primary breast cancer patients

Shahrzad Soleimani; Shohreh Alizadeh Shargh; Aliasghar Keramatinia; Narjes Mehrvar; Neda Mansouri; Abbas Doosti; Seyed Abdolreza Mortazavi-Tabatabaei; Mehrdad Hashemi; Abolfazl Movafagh

doi:10.14715/cmb/2018.64.5.20

Issue

Vol. 64 No. 5: Issue 5

Issue Published : May 1, 2018

The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.

Detection of gene expression in sentinel lymph node of primary breast cancer patients

https://doi.org/10.14715/cmb/2018.64.5.20

Shahrzad Soleimani

Department of Molecular Genetics, Institute of Basic Science, Shahrekord Islamic Azad University, Iran

Shohreh Alizadeh Shargh

Medical Laboratory Science Department, Midwifery-Nursing Institute, Islamic Azad University of Chalous Branch, Chalous, Iran

Aliasghar Keramatinia

Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Narjes Mehrvar

Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Neda Mansouri

Department of Medical Genetics, Cancer Research Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Abbas Doosti

Department of Molecular Genetics, Institute of Basic Science, Shahrekord Islamic Azad University, Iran

Seyed Abdolreza Mortazavi-Tabatabaei

Proteome Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Mehrdad Hashemi

Department of Molecular Genetics, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran

Abolfazl Movafagh

Department of Medical Genetics, Cancer Research Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Corresponding Author(s) : Abolfazl Movafagh

movafagh_a@yahoo.com

Cellular and Molecular Biology, Vol. 64 No. 5: Issue 5
Article Published : April 30, 2018

Abstract

Sentinel lymph node (SLN) micrometstasis detection improves outcome for breast cancer follow up procedure. The aim of the present study was to identify gene profiles that accurately predicted the outcome of breast cancer patients. Fifty tumor sample from breast cancer patients were analyzed for the expression of 3 genes using quantitative-PCR. Also clinical verification for recurrence to distant organs was performed. Three gene signature were confirmed based on tumor's stage, grade, ER status, using conditional logistic regression. Based on this findings, the negative reported lymph nodes for metastasis, had micro metastasis in significant values. There was a significant difference between normal and cancer samples in 3 gene expression marker and also there was meaningful relationship between three gene expression with tumor's grade, stage according to progression of tumor. A novel gene expression signature predictive of micro metastatic patients was evaluated. In this assessment, relationship between this gene with tumor's features that finding clear role for these genes with tumor's outcome, needs to be established.

Keywords

Breast cancer Gene signature Sentinel lymph node Iran.

Soleimani, S., Alizadeh Shargh, S., Keramatinia, A., Mehrvar, N., Mansouri, N., Doosti, A., Mortazavi-Tabatabaei, S. A., Hashemi, M., & Movafagh, A. (2018). Detection of gene expression in sentinel lymph node of primary breast cancer patients. Cellular and Molecular Biology, 64(5), 118–121. https://doi.org/10.14715/cmb/2018.64.5.20

Download Citation

References

Corkery DP, Le Page C, Meunier L, Provencher D, Mes-Masson AM, Dellaire G.
PRP4K is a HER2-regulated modifier of taxane sensitivity. Cell Cycle 2015;
(7): 1059-69.
Mustacchi G, Sormani MP, Bruzzi P, Gennari A, Zanconati F, Bonifacio D,
et al. Identification and validation of a new set of five genes for prediction of risk in early breast cancer. Int J Mol Sci 2013; 14(5): 9686-702.
Gasparini P, Fassan M, Cascione L, Guler G, Balci S, Irkkan C, et al. Androgenreceptor status is a prognostic marker in non-basal triple negative breast cancers and determines novel therapeutic options. PLoS One 2014; 9(2): e88525.
Iranshahi N, Zafari P, Yari KH, Alizadeh E. The most common genes involved in
epigenetics modifications among Iranian patients with breast cancer: A systematic
review. Cell Mol Biol (Noisy-le-grand). 2016 Oct 31;62(12):116-122.
Salehi Z, Afzali S, Shabanipour S, Rahimi A. Evaluation of FGFR2 gene
polymorphism in women with breast cancer. Cell Mol Biol (Noisy-le-grand). 2015
May 28;61(2):94-7.
Ouellette RJ, Richard D, Maí¯cas E. RT-PCR for mammaglobin genes, MGB1 and MGB2, identifies breast cancer micrometastases in sentinel lymph nodes. Am J Clin Pathol 2004; 121(5): 637-43.
Tveito S, Andersen K, Kåresen R, Fodstad í˜. Analysis of EpCAM positive cells isolated from sentinel lymph nodes of breast cancer patients identifies subpopulations of cells with distinct transcription profiles. Breast Cancer Res 2014; 13(4): R75.
Ma XJ, Hilsenbeck SG, Wang W, Ding L, Sgroi DC, Bender RA, et al. The HOXB13:IL17BR expression index is a prognostic factor in early-stage breast cancer. J Clin Oncol. 2006; 24(28): 4611-19.
Ma XJ, Wang Z, Ryan PD, Isakoff SJ, Barmettler A, Fuller A, et al. A two- gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell 2004; 5(6): 607-16.
Ma XJ, Salunga R, Dahiya S, Wang W, Carney E, Durbecq V, et al. Gene expression profiling in breast cancer: classification, prognostication, and prediction. Lancet 2011; 378(9805): 1812-23.
Wang Y, Klijn JG, Zhang Y, Sieuwerts AM, Look MP, Yang F, et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet. 2005; 365(9460): 671-9.
.
Sgroi DC, Carney E, Zarrella E, Steffel L, Binns SN, Finkelstein DM,
Et al. Prediction of late disease recurrence and extended adjuvant letrozole benefit by the HOXB13/IL17BR biomarker. J Natl Cancer Inst 2013; 105(14): 1036-42.
Turaga K, Acs G, Laronga C. Gene expression profiling in breast cancer. Cancer Control 2010; 17(3): 177-82.
Reis-Filho JS, Pusztai L. Gene expression profiling in breast cancer: classification, prognostication, and prediction. Lancet 2011; 378(9805): 1812-23.
Movafagh A, Maleki F, Fadaie S. Persistent unstable chromosomal aberration in lymphocytes of radiotherapy workers after 1st mitotic division in Tehran, Iran. PJMS 2007; 23: 254-60.
Shah N, Sukumar S. The Hox genes and their roles in oncogenesis. Nat Rev Cancer 2010; 10(5): 361-71.
de Ronde JJ, Hannemann J, Halfwerk H, Mulder L, Straver ME, Vrancken Peeters
MJ, et al. Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Res Treat 2010; 119(1): 119-26.
Harrell JC, Dye WW, Allred DC, Jedlicka P, Spoelstra NS, Sartorius CA, et al. Estrogen receptor positive breast cancer metastasis: altered hormonal sensitivity and tumor aggressiveness in lymphatic vessels and lymph nodes. Cancer Res 2006; 66(18): 9308-15.
Movafagh A, Mirfakhraei R, Mousavi-Jarrahi A et al. Frequent incidence of double minute chromosomes in cancers, with special up-to-date reference to leukemia. Asian Pac J Cancer Prev, 2011; 12: 3453-6.
Kazemi E, Kahrizi D. Lack of association between gastric cancer and hopq alleles in Helicobacter pylori. Genetika. 2016; 48(3): 893-902

References

Corkery DP, Le Page C, Meunier L, Provencher D, Mes-Masson AM, Dellaire G.

PRP4K is a HER2-regulated modifier of taxane sensitivity. Cell Cycle 2015;

(7): 1059-69.

Mustacchi G, Sormani MP, Bruzzi P, Gennari A, Zanconati F, Bonifacio D,

et al. Identification and validation of a new set of five genes for prediction of risk in early breast cancer. Int J Mol Sci 2013; 14(5): 9686-702.

Gasparini P, Fassan M, Cascione L, Guler G, Balci S, Irkkan C, et al. Androgenreceptor status is a prognostic marker in non-basal triple negative breast cancers and determines novel therapeutic options. PLoS One 2014; 9(2): e88525.

Iranshahi N, Zafari P, Yari KH, Alizadeh E. The most common genes involved in

epigenetics modifications among Iranian patients with breast cancer: A systematic

review. Cell Mol Biol (Noisy-le-grand). 2016 Oct 31;62(12):116-122.

Salehi Z, Afzali S, Shabanipour S, Rahimi A. Evaluation of FGFR2 gene

polymorphism in women with breast cancer. Cell Mol Biol (Noisy-le-grand). 2015

May 28;61(2):94-7.

Ouellette RJ, Richard D, Maí¯cas E. RT-PCR for mammaglobin genes, MGB1 and MGB2, identifies breast cancer micrometastases in sentinel lymph nodes. Am J Clin Pathol 2004; 121(5): 637-43.

Tveito S, Andersen K, Kåresen R, Fodstad í˜. Analysis of EpCAM positive cells isolated from sentinel lymph nodes of breast cancer patients identifies subpopulations of cells with distinct transcription profiles. Breast Cancer Res 2014; 13(4): R75.

Ma XJ, Hilsenbeck SG, Wang W, Ding L, Sgroi DC, Bender RA, et al. The HOXB13:IL17BR expression index is a prognostic factor in early-stage breast cancer. J Clin Oncol. 2006; 24(28): 4611-19.

Ma XJ, Wang Z, Ryan PD, Isakoff SJ, Barmettler A, Fuller A, et al. A two- gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell 2004; 5(6): 607-16.

Ma XJ, Salunga R, Dahiya S, Wang W, Carney E, Durbecq V, et al. Gene expression profiling in breast cancer: classification, prognostication, and prediction. Lancet 2011; 378(9805): 1812-23.

Wang Y, Klijn JG, Zhang Y, Sieuwerts AM, Look MP, Yang F, et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet. 2005; 365(9460): 671-9.

Sgroi DC, Carney E, Zarrella E, Steffel L, Binns SN, Finkelstein DM,

Et al. Prediction of late disease recurrence and extended adjuvant letrozole benefit by the HOXB13/IL17BR biomarker. J Natl Cancer Inst 2013; 105(14): 1036-42.

Turaga K, Acs G, Laronga C. Gene expression profiling in breast cancer. Cancer Control 2010; 17(3): 177-82.

Reis-Filho JS, Pusztai L. Gene expression profiling in breast cancer: classification, prognostication, and prediction. Lancet 2011; 378(9805): 1812-23.

Movafagh A, Maleki F, Fadaie S. Persistent unstable chromosomal aberration in lymphocytes of radiotherapy workers after 1st mitotic division in Tehran, Iran. PJMS 2007; 23: 254-60.

Shah N, Sukumar S. The Hox genes and their roles in oncogenesis. Nat Rev Cancer 2010; 10(5): 361-71.

de Ronde JJ, Hannemann J, Halfwerk H, Mulder L, Straver ME, Vrancken Peeters

MJ, et al. Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Res Treat 2010; 119(1): 119-26.

Harrell JC, Dye WW, Allred DC, Jedlicka P, Spoelstra NS, Sartorius CA, et al. Estrogen receptor positive breast cancer metastasis: altered hormonal sensitivity and tumor aggressiveness in lymphatic vessels and lymph nodes. Cancer Res 2006; 66(18): 9308-15.

Movafagh A, Mirfakhraei R, Mousavi-Jarrahi A et al. Frequent incidence of double minute chromosomes in cancers, with special up-to-date reference to leukemia. Asian Pac J Cancer Prev, 2011; 12: 3453-6.

Kazemi E, Kahrizi D. Lack of association between gastric cancer and hopq alleles in Helicobacter pylori. Genetika. 2016; 48(3): 893-902

Author Biography

Abolfazl Movafagh, Department of Medical Genetics, Cancer Research Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Medical Genetics