Literature DB >> 21532807

Factors influencing treatment recommendations in node-negative breast cancer.

Elisabeth Edstrom Elder1, Sally Baron Hay, Katrina Moore.   

Abstract

PURPOSE: To assess factors influencing recommendations for adjuvant chemotherapy (CT) in relation to perceived benefits in women with stage 1 breast cancer and to determine the degree to which recommendations were followed.
METHODS: Recommendations from multidisciplinary team meetings at Royal North Shore Hospital (Sydney, Australia) during 2007 and 2008 for postoperative patients with invasive, primary breast cancer were reviewed. Treatment data were collected from patients' medical records. Estimated benefits of adjuvant CT on 10-year survival for node-negative patients were calculated using Adjuvant! Online. Univariate and multivariate analyses were performed using SPSS.
RESULTS: Of 345 patients (mean age, 59 years), 51 were unsuitable for CT as a result of comorbidity and/or age > 80 years. All 93 patients with nodal macrometastases who were suitable for CT and 20 (80%) of 25 with micrometastases were recommended for CT, compared with 92 (53%) of 175 node-negative patients. Tumor size > 2 cm, grade 3, estrogen receptor negativity, and age less than 45 years were independent factors influencing CT recommendation. The mean estimated benefit of CT in node-negative patients who received this recommendation was 5.7% versus 1.3% in patients not recommended for CT. Twenty-one (23%) node-negative patients declined CT after discussion with a medical oncologist. A higher proportion of node-negative patients were recommended for CT in 2008 versus 2007 (60% v 44%, P = .04).
CONCLUSIONS: Grade, tumor size, estrogen receptor status, and younger age are the most significant factors influencing CT recommendation in node-negative patients. The minimum level of benefit to recommend CT is approximately 2%. A significant proportion of patients do not proceed with CT after individualized review.

Entities:  

Year:  2011        PMID: 21532807      PMCID: PMC3014507          DOI: 10.1200/JOP.2010.000024

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  14 in total

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Authors:  Robert W Carlson; Clifford A Hudis; Kathy I Pritchard
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2.  High risk of recurrence for patients with breast cancer who have human epidermal growth factor receptor 2-positive, node-negative tumors 1 cm or smaller.

Authors:  Ana M Gonzalez-Angulo; Jennifer K Litton; Kristine R Broglio; Funda Meric-Bernstam; Ronjay Rakkhit; Fatima Cardoso; Florentia Peintinger; Emer O Hanrahan; Aysegul Sahin; Merih Guray; Denis Larsimont; Francesco Feoli; Heidi Stranzl; Thomas A Buchholz; Vicente Valero; Richard Theriault; Martine Piccart-Gebhart; Peter M Ravdin; Donald A Berry; Gabriel N Hortobagyi
Journal:  J Clin Oncol       Date:  2009-11-02       Impact factor: 44.544

3.  Utility of a web-based breast cancer predictive algorithm for adjuvant chemotherapeutic decision making in a multidisciplinary oncology center.

Authors:  Richard J Epstein; Thomas W Leung; Joyce Mak; Polly S Cheung
Journal:  Cancer Invest       Date:  2006 Jun-Jul       Impact factor: 2.176

4.  Significance of axillary lymph node metastasis in primary breast cancer.

Authors:  I Jatoi; S G Hilsenbeck; G M Clark; C K Osborne
Journal:  J Clin Oncol       Date:  1999-08       Impact factor: 44.544

5.  Chemotherapy use for hormone receptor-positive, lymph node-negative breast cancer.

Authors:  Michael J Hassett; Melissa E Hughes; Joyce C Niland; Stephen B Edge; Richard L Theriault; Yu-Ning Wong; John Wilson; W Bradford Carter; Douglas W Blayney; Jane C Weeks
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

6.  Trial assessing individualized options for treatment for breast cancer: the TAILORx trial.

Authors:  Jo Anne Zujewski; Leah Kamin
Journal:  Future Oncol       Date:  2008-10       Impact factor: 3.404

7.  Micrometastases or isolated tumor cells and the outcome of breast cancer.

Authors:  Maaike de Boer; Carolien H M van Deurzen; Jos A A M van Dijck; George F Borm; Paul J van Diest; Eddy M M Adang; Johan W R Nortier; Emiel J T Rutgers; Caroline Seynaeve; Marian B E Menke-Pluymers; Peter Bult; Vivianne C G Tjan-Heijnen
Journal:  N Engl J Med       Date:  2009-08-13       Impact factor: 91.245

8.  Patients' preferences for adjuvant chemotherapy in early-stage breast cancer: is treatment worthwhile?

Authors:  S J Jansen; J Kievit; M A Nooij; J C de Haes; I M Overpelt; H van Slooten; E Maartense; A M Stiggelbout
Journal:  Br J Cancer       Date:  2001-06-15       Impact factor: 7.640

9.  Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.

Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

Review 10.  Adjuvant trastuzumab in the treatment of her-2-positive early breast cancer: a meta-analysis of published randomized trials.

Authors:  Gustavo A Viani; Sergio L Afonso; Eduardo J Stefano; Ligia I De Fendi; Francisco V Soares
Journal:  BMC Cancer       Date:  2007-08-08       Impact factor: 4.430

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  4 in total

1.  Racial Variation in the Uptake of Oncotype DX Testing for Early-Stage Breast Cancer.

Authors:  Megan C Roberts; Morris Weinberger; Stacie B Dusetzina; Michaela A Dinan; Katherine E Reeder-Hayes; Lisa A Carey; Melissa A Troester; Stephanie B Wheeler
Journal:  J Clin Oncol       Date:  2015-11-23       Impact factor: 44.544

2.  Cost-effectiveness of the 21-gene recurrence score assay in the context of multifactorial decision making to guide chemotherapy for early-stage breast cancer.

Authors:  Shelby D Reed; Michaela A Dinan; Kevin A Schulman; Gary H Lyman
Journal:  Genet Med       Date:  2012-09-13       Impact factor: 8.822

3.  Increasing rates of surgical treatment and preventing comorbidities may increase breast cancer survival for Aboriginal women.

Authors:  Rajah Supramaniam; Alison Gibberd; Anthony Dillon; David Eamon Goldsbury; Dianne L O'Connell
Journal:  BMC Cancer       Date:  2014-03-07       Impact factor: 4.430

4.  Development and Validation of a Simulation Model-Based Clinical Decision Tool: Identifying Patients Where 21-Gene Recurrence Score Testing May Change Decisions.

Authors:  Jinani Jayasekera; Joseph A Sparano; Suzanne O'Neill; Young Chandler; Claudine Isaacs; Allison W Kurian; Lawrence Kushi; Clyde B Schechter; Jeanne Mandelblatt
Journal:  J Clin Oncol       Date:  2021-07-12       Impact factor: 50.717

  4 in total

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