Method for predicting breast cancer patient response to endocrine therapy
US8914238B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 24, 2012 |
| Grant date | Dec 16, 2014 |
| Priority date | — |
| Expiry date | Mar 2, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH01J49/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A mass-spectral method is disclosed for determining whether a breast cancer patient is likely to benefit from administration of a combination treatment in the form of a targeted anti-cancer drug in addition to an endocrine therapy drug. The method obtains a mass spectrum from a blood-based sample from the patient. The spectrum is subject to one or more predefined pre-processing steps. Values of selected features in the spectrum at one or more predefined m/z ranges are obtained. The values are used in a classification algorithm using a training set comprising class-labeled spectra a class label for the sample is obtained. If the class label is “Poor”, the patient is identified as being likely to benefit from the combination treatment. In a variation, the “Poor” class label predicts whether the patient is unlikely to benefit from endocrine therapy drugs alone, regardless of the patient's HER2 status.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.