Literature DB >> 28123587

Analysis of molecular markers as predictive factors of lymph node involvement in breast carcinoma.

Luciana Marques Paula1, Luis Henrique Ferreira De Moraes2, Abaeté Leite Do Canto3, Laurita Dos Santos4, Airton Abrahão Martin4, Silvia Regina Rogatto5, Renata De Azevedo Canevari1.   

Abstract

Nodal status is the most significant independent prognostic factor in breast cancer. Identification of molecular markers would allow stratification of patients who require surgical assessment of lymph nodes from the large numbers of patients for whom this surgical procedure is unnecessary, thus leading to a more accurate prognosis. However, up to now, the reported studies are preliminary and controversial, and although hundreds of markers have been assessed, few of them have been used in clinical practice for treatment or prognosis in breast cancer. The purpose of the present study was to determine whether protein phosphatase Mg2+/Mn2+ dependent 1D, β-1,3-N-acetylglucosaminyltransferase, neural precursor cell expressed, developmentally down-regulated 9, prohibitin, phosphoinositide-3-kinase regulatory subunit 5 (PIK3R5), phosphatidylinositol-5-phosphate 4-kinase type IIα, TRF1-interacting ankyrin-related ADP-ribose polymerase 2, BCL2 associated agonist of cell death, G2 and S-phase expressed 1 and PAX interacting protein 1 genes, described as prognostic markers in breast cancer in a previous microarray study, are also predictors of lymph node involvement in breast carcinoma Reverse transcription-quantitative polymerase chain reaction analysis was performed on primary breast tumor tissues from women with negative lymph node involvement (n=27) compared with primary tumor tissues from women with positive lymph node involvement (n=23), and was also performed on primary tumors and paired lymph node metastases (n=11). For all genes analyzed, only the PIK3R5 gene exhibited differential expression in samples of primary tumors with positive lymph node involvement compared with primary tumors with negative lymph node involvement (P=0.0347). These results demonstrate that the PIK3R5 gene may be considered predictive of lymph node involvement in breast carcinoma. Although the other genes evaluated in the present study have been previously characterized to be involved with the development of distant metastases, they did not have predictive potential.

Entities:  

Keywords:  breast cancer; gene expression; lymph node metastases; molecular markers; predictive factors

Year:  2016        PMID: 28123587      PMCID: PMC5244838          DOI: 10.3892/ol.2016.5438

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  50 in total

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2.  Gene expression profiling of primary breast carcinomas using arrays of candidate genes.

Authors:  F Bertucci; R Houlgatte; A Benziane; S Granjeaud; J Adélaïde; R Tagett; B Loriod; J Jacquemier; P Viens; B Jordan; D Birnbaum; C Nguyen
Journal:  Hum Mol Genet       Date:  2000-12-12       Impact factor: 6.150

Review 3.  Clinical applications of sentinel lymph node biopsy in ductal carcinoma in situ of the breast: a dilemma.

Authors:  Yu Tang; Fei Xu; Kaishan Tao; Niansong Qian; Masakazu Toi
Journal:  Tohoku J Exp Med       Date:  2011-05       Impact factor: 1.848

Review 4.  Predictive markers in breast cancer: An update on ER and HER2 testing and reporting.

Authors:  Benjamin C Calhoun; Laura C Collins
Journal:  Semin Diagn Pathol       Date:  2015-02-07       Impact factor: 3.464

5.  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

6.  Breast cancer subtypes can be determinant in the decision making process to avoid surgical axillary staging: A retrospective cohort study.

Authors:  Antonio Marrazzo; Giovanni Boscaino; Emilia Marrazzo; Pietra Taormina; Antonio Toesca
Journal:  Int J Surg       Date:  2015-08-05       Impact factor: 6.071

7.  The effect of tumor size and lymph node status on breast carcinoma lethality.

Authors:  James S Michaelson; Melvin Silverstein; Dennis Sgroi; Justin A Cheongsiatmoy; Alphonse Taghian; Simon Powell; Kevin Hughes; Arthur Comegno; Kenneth K Tanabe; Barbara Smith
Journal:  Cancer       Date:  2003-11-15       Impact factor: 6.860

Review 8.  Molecular biology of breast cancer metastasis. Clinical implications of experimental studies on metastatic inefficiency.

Authors:  A F Chambers; G N Naumov; S A Vantyghem; A B Tuck
Journal:  Breast Cancer Res       Date:  2000-07-21       Impact factor: 6.466

9.  Control of autophagy in cancer.

Authors:  Arkadiusz Orzechowski; Saverio Bettuzzi; Patrycja Pawlikowska; Beata Pająk
Journal:  Biomed Res Int       Date:  2015-03-10       Impact factor: 3.411

10.  Evaluation and validation of candidate endogenous control genes for real-time quantitative PCR studies of breast cancer.

Authors:  Roisin E McNeill; Nicola Miller; Michael J Kerin
Journal:  BMC Mol Biol       Date:  2007-11-27       Impact factor: 2.946

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Review 1.  Management of the Axilla in the Era of Breast Cancer Heterogeneity.

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2.  TACCO, a Database Connecting Transcriptome Alterations, Pathway Alterations and Clinical Outcomes in Cancers.

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Journal:  Sci Rep       Date:  2019-03-07       Impact factor: 4.379

3.  Tissue Expression of Prohibition-I and It's Relationship With Prognostic Factors in Breast Cancer.

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Journal:  Iran J Pathol       Date:  2018-07-17

4.  A Novel Inflammatory Response-Related Gene Signature Improves High-Risk Survival Prediction in Patients With Head and Neck Squamous Cell Carcinoma.

Authors:  Yanxun Han; Zhao Ding; Bangjie Chen; Yuchen Liu; Yehai Liu
Journal:  Front Genet       Date:  2022-04-11       Impact factor: 4.772

5.  A five-gene based risk score with high prognostic value in colorectal cancer.

Authors:  Yida Pan; Hongyang Zhang; Mingming Zhang; Jie Zhu; Jianghong Yu; Bangting Wang; Jigang Qiu; Jun Zhang
Journal:  Oncol Lett       Date:  2017-09-28       Impact factor: 2.967

  5 in total

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