Literature DB >> 22070677

Tailored chemotherapy based on tumour gene expression analysis: breast cancer patients' misinterpretations and positive attitudes.

I Pellegrini1, M Rapti, J-M Extra, A Petri-Cal, T Apostolidis, J-M Ferrero, T Bachelot, P Viens, C Julian-Reynier, F Bertucci.   

Abstract

The aim of this study was to document how breast cancer patients perceive their prognosis and a tailored treatment based on tumour gene expression analysis, and to identify the features of this approach that may impact its clinical application. In-depth interviews were conducted at three French cancer centres with 37 women (35-69 years of age) with node-positive breast cancer undergoing an adjuvant chemotherapy regimen defined on the basis of the genomic signature predicting the outcome after chemotherapy. Several concerns were identified. First, some misconceptions about these methods were identified due to semantic confusions between the terms 'genomic' and 'genetic', which generated anxiety and uncertainty about the future. Second, the 'not done' and 'not interpretable' signatures were misinterpreted by the women and associated with highly negative connotations. However, the use of tumour genomic analysis to adapt the treatment to each patient received most of the patients' approval because it was perceived as an approach facilitating personalised medicine. In conclusion, improving the quality of provider/patient communications should enable patients to play a more active part in the decision making about their treatment. This will ensure that those who agree to have tumour gene analysis have realistic expectations and sound deductions about the final result disclosure process.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 22070677     DOI: 10.1111/j.1365-2354.2011.01300.x

Source DB:  PubMed          Journal:  Eur J Cancer Care (Engl)        ISSN: 0961-5423            Impact factor:   2.520


  13 in total

1.  Patients' perceptions of gene expression profiling in breast cancer treatment decisions.

Authors:  Y Bombard; L Rozmovits; M E Trudeau; N B Leighl; K Deal; D A Marshall
Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

2.  The value of personalizing medicine: medical oncologists' views on gene expression profiling in breast cancer treatment.

Authors:  Yvonne Bombard; Linda Rozmovits; Maureen Trudeau; Natasha B Leighl; Ken Deal; Deborah A Marshall
Journal:  Oncologist       Date:  2015-03-06

3.  Multigene expression profile testing in breast cancer: is there a role for family physicians?

Authors:  M A O'Brien; J C Carroll; D P Manca; B Miedema; P A Groome; T Makuwaza; J Easley; N Sopcak; L Jiang; K Decker; M L McBride; R Moineddin; J A Permaul; R Heisey; E A Eisenhauer; M K Krzyzanowska; S Pruthi; C Sawka; N Schneider; J Sussman; R Urquhart; C Versaevel; E Grunfeld
Journal:  Curr Oncol       Date:  2017-04-27       Impact factor: 3.677

Review 4.  Patient and public understanding of the concept of 'personalised medicine' in relation to cancer treatment: a systematic review.

Authors:  Jed Botham; Valerie Shilling; John Jones
Journal:  Future Healthc J       Date:  2021-11

5.  Question Prompt List to Support Patient-Provider Communication in the Use of the 21-Gene Recurrence Test: Feasibility, Acceptability, and Outcomes.

Authors:  Jinani Jayasekera; Susan T Vadaparampil; Susan Eggly; Richard L Street; Tanina Foster Moore; Claudine Isaacs; Hyo S Han; Bianca Augusto; Jennifer Garcia; Katherine Lopez; Suzanne C O'Neill
Journal:  JCO Oncol Pract       Date:  2020-05-28

6.  Testing personalized medicine: patient and physician expectations of next-generation genomic sequencing in late-stage cancer care.

Authors:  Fiona A Miller; Robin Z Hayeems; Jessica P Bytautas; Philippe L Bedard; Scott Ernst; Hal Hirte; Sebastien Hotte; Amit Oza; Albiruni Razak; Stephen Welch; Eric Winquist; Janet Dancey; Lillian L Siu
Journal:  Eur J Hum Genet       Date:  2013-07-17       Impact factor: 4.246

7.  Psychosocial and behavioral outcomes of genomic testing in cancer: a systematic review.

Authors:  Tatiane Yanes; Amanda M Willis; Bettina Meiser; Katherine M Tucker; Megan Best
Journal:  Eur J Hum Genet       Date:  2018-09-11       Impact factor: 4.246

8.  Cancer Patient Experience of Uncertainty While Waiting for Genome Sequencing Results.

Authors:  Nicci Bartley; Christine E Napier; Zoe Butt; Timothy E Schlub; Megan C Best; Barbara B Biesecker; Mandy L Ballinger; Phyllis Butow
Journal:  Front Psychol       Date:  2021-04-22

Review 9.  Reduction of breast cancer relapses with perioperative non-steroidal anti-inflammatory drugs: new findings and a review.

Authors:  Michael Retsky; Romano Demicheli; William J M Hrushesky; Patrice Forget; Marc De Kock; Isaac Gukas; Rick A Rogers; Michael Baum; Vikas Sukhatme; Jayant S Vaidya
Journal:  Curr Med Chem       Date:  2013       Impact factor: 4.530

10.  The PiGeOn project: protocol for a longitudinal study examining psychosocial, behavioural and ethical issues and outcomes in cancer tumour genomic profiling.

Authors:  Megan Best; Ainsley J Newson; Bettina Meiser; Ilona Juraskova; David Goldstein; Kathy Tucker; Mandy L Ballinger; Dominique Hess; Timothy E Schlub; Barbara Biesecker; Richard Vines; Kate Vines; David Thomas; Mary-Anne Young; Jacqueline Savard; Chris Jacobs; Phyllis Butow
Journal:  BMC Cancer       Date:  2018-04-05       Impact factor: 4.430

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