Unknown

Dataset Information

0

The current use and attitudes towards tumor genome sequencing in breast cancer.


ABSTRACT: There is increasing availability of technologies that can interrogate the genomic landscape of an individual tumor; however, their impact on daily practice remains uncertain. We conducted a 28-item survey to investigate the current attitudes towards the integration of tumor genome sequencing in breast cancer management. A link to the survey was communicated via newsletters of several oncological societies, and dedicated mailing by academic research groups. Multivariable logistic regression modeling was carried out to determine the relationship between predictors and outcomes. 215 physicians participated to the survey. The majority were medical oncologists (88%), practicing in Europe (70%) and working in academic institutions (66%). Tumor genome sequencing was requested by 82 participants (38%), of whom 21% reported low confidence in their genomic knowledge, and 56% considered tumor genome sequencing to be poorly accessible. In multivariable analysis, having time allocated to research (OR 3.37, 95% CI 1.84-6.15, p?

SUBMITTER: Gingras I 

PROVIDER: S-EPMC4773754 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

The current use and attitudes towards tumor genome sequencing in breast cancer.

Gingras I I   Sonnenblick A A   de Azambuja E E   Paesmans M M   Delaloge S S   Aftimos Philippe P   Piccart M J MJ   Sotiriou C C   Ignatiadis M M   Azim H A HA  

Scientific reports 20160302


There is increasing availability of technologies that can interrogate the genomic landscape of an individual tumor; however, their impact on daily practice remains uncertain. We conducted a 28-item survey to investigate the current attitudes towards the integration of tumor genome sequencing in breast cancer management. A link to the survey was communicated via newsletters of several oncological societies, and dedicated mailing by academic research groups. Multivariable logistic regression model  ...[more]

Similar Datasets

| S-EPMC3018819 | biostudies-other
| S-EPMC5406763 | biostudies-literature
| S-EPMC8169397 | biostudies-literature
| S-EPMC9060417 | biostudies-literature
| S-EPMC3101903 | biostudies-other
| S-EPMC7414265 | biostudies-literature
| S-EPMC6454518 | biostudies-literature
| S-EPMC4439158 | biostudies-literature
| PRJEB7607 | ENA
| S-EPMC6988681 | biostudies-literature