Literature DB >> 18942607

Changing paradigms in breast cancer management: introducing molecular genetics into the treatment algorithm.

Jessica A Rayhanabad1, L Andrew Difronzo, Phillip I Haigh, Lina Romero.   

Abstract

Advances in molecular genetics aimed at individualizing breast cancer treatment have been validated. We examined the use of gene assays predictive of distant recurrence in breast cancer and their impact on adjuvant treatment. A retrospective chart review of 58 T1/T2, node-negative, estrogen-receptor positive breast cancer patients that underwent Oncotype DX gene assay testing between January and December 2006 was performed. We compared treatment received after gene assay evaluation to treatment based on National Comprehensive Cancer Network guidelines. Patients were grouped using these recommendations: Low-risk group (T1a/T1b), no chemotherapy; High-risk group (T1c/T2), chemotherapy. Oncotype DX recommendations are as follows: Low recurrence risk, no chemotherapy; high recurrence risk, chemotherapy. A change in management was defined as chemotherapy for T1a/T1b disease and no chemotherapy for T1c/T2 disease. Two T1a/T1b patients had high risk of recurrence per gene assay scores and were treated with chemotherapy (P < 0.05). Eighteen T1c/T2 patients had low recurrence risk scores; 13 (72%) were spared chemotherapy. The recurrence score increased the number of patients classified as low risk of recurrence by 12 per cent and downstaged 63 per cent of high-risk patients (P < 0.003). Gene assay results changed management in 15 of 58 (26%) patients (P < 0.05). The use of gene assays allowed us to better tailor treatment in a significant number of our patients.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18942607

Source DB:  PubMed          Journal:  Am Surg        ISSN: 0003-1348            Impact factor:   0.688


  9 in total

1.  The effect of Oncotype DX recurrence score on treatment recommendations for patients with estrogen receptor-positive early stage breast cancer and correlation with estimation of recurrence risk by breast cancer specialists.

Authors:  Jennifer E Joh; Nicole N Esposito; John V Kiluk; Christine Laronga; M Catherine Lee; Loretta Loftus; Hatem Soliman; Judy C Boughey; Carol Reynolds; Thomas J Lawton; Peter I Acs; Lucio Gordan; Geza Acs
Journal:  Oncologist       Date:  2011-10-20

2.  Patterns of 21-gene assay testing and chemotherapy use in black and white breast cancer patients.

Authors:  Vanessa B Sheppard; Suzanne C O'Neill; Asma Dilawari; Sara Horton; Fikru A Hirpa; Claudine Isaacs
Journal:  Clin Breast Cancer       Date:  2014-12-01       Impact factor: 3.225

3.  Clinical Validation of BCT Scores With Prognostic Factors in Hormone Receptor-positive, HER2-negative Early Breast Cancer.

Authors:  Jeeyeon Lee; Won Hwa Kim; Ji-Young Park; Ho Yong Park; Jin Hyang Jung; Wan Wook Kim; Chan Sub Park; Ryu Kyung Lee; Jee Young Park; Yee Soo Chae; Soo Jung Lee; Hye Jung Kim
Journal:  In Vivo       Date:  2019 Nov-Dec       Impact factor: 2.155

Review 4.  Clinical utility of gene-expression profiling in women with early breast cancer: an overview of systematic reviews.

Authors:  Michael Marrone; Alison Stewart; W David Dotson
Journal:  Genet Med       Date:  2014-12-04       Impact factor: 8.822

5.  Psychosocial and Quality of Life in Women Receiving the 21-Gene Recurrence Score Assay: The Impact of Decision Style in Women with Intermediate RS.

Authors:  Nadiyah Sulayman; Elizabeth Spellman; Kristi D Graves; Beth N Peshkin; Claudine Isaacs; Marc D Schwartz; Suzanne C O'Neill
Journal:  J Cancer Epidemiol       Date:  2012-07-30

6.  The impact of the 21-gene Recurrence Score assay on clinical decision-making in node-positive (up to 3 positive nodes) estrogen receptor-positive breast cancer patients.

Authors:  Salomon M Stemmer; Shmuel H Klang; Noa Ben-Baruch; David B Geffen; Mariana Steiner; Lior Soussan-Gutman; Shahar Merling; Christer Svedman; Shulamith Rizel; Nicky Lieberman
Journal:  Breast Cancer Res Treat       Date:  2013-06-26       Impact factor: 4.872

7.  Treatment decisions in estrogen receptor-positive early breast cancer patients with intermediate oncotype DX recurrence score results.

Authors:  Georgeta Fried; Mor Moskovitz
Journal:  Springerplus       Date:  2014-02-06

Review 8.  Towards decision-making using individualized risk estimates for personalized medicine: A systematic review of genomic classifiers of solid tumors.

Authors:  Daniel M Trifiletti; Vanessa N Sturz; Timothy N Showalter; Jennifer M Lobo
Journal:  PLoS One       Date:  2017-05-09       Impact factor: 3.240

9.  Comparison of EndoPredict and Oncotype DX test results in hormone receptor positive invasive breast cancer.

Authors:  Zsuzsanna Varga; Peter Sinn; Florian Fritzsche; Arthur von Hochstetter; Aurelia Noske; Peter Schraml; Christoph Tausch; Andreas Trojan; Holger Moch
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.