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SUMMARY:Mapping laboratory reports for molecular genetic testing to the Na
 tional Cancer Registration and Analysis Service (NCRAS) - Josephine French
 \, Health Data Insight
DTSTART:20180213T130000Z
DTEND:20180213T140000Z
UID:TALK100783@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:*Background:*\n\nMany tumours undergo molecular genetic and cy
 togenetic testing in NHS specialist laboratories in order to define which 
 mutations or rearrangements underlie the malignant behaviour of the cells.
  These molecular tests are a key part of diagnosis and subtyping for many 
 tumour types (e.g. brain tumours\, sarcomas\, paediatric cancers\, and hae
 matological malignancies)\, and some molecular aberrations can provide key
  information on the patient’s likely prognosis. Furthermore\, in an incr
 easing number of tumours (e.g. lung\, colorectal\, melanoma\, gastrointest
 inal stromal tumours)\, molecular tests are used to identify mutations or 
 rearrangements which can predict a clinical response to targeted therapies
 . This enables treatment to be personalised to the patient and to the spec
 ific biology of their tumour.\n\n*The Project:*\n\nThe National Cancer Reg
 istration and Analysis Service (NCRAS) is collecting molecular data from t
 umour testing directly from pathology and regional molecular genetics labo
 ratories across England. Data from each laboratory arrives in a different 
 format\, with little consistency between laboratories\, and different labs
  carry out different tests. Most of the labs performing these tests have b
 een identified\; however\, not all are yet supplying data to NCRAS.\n\nAll
  source data from the labs needs to be mapped to a specific format\, conta
 ined within three genetics tables in the NCRAS database. Data is processed
  by a combination of computational mapping and registration by hand\; howe
 ver computational mapping is the preferred route where possible.\n\nThe pr
 oject is likely to involve a combination of creating mapping documents to 
 show how source data can be mapped and transformed to the unified structur
 e\, and scripting code\, into which these rules are embedded\, using Yet A
 nother Mark-up Language (YAML). There may also be an element of liaising w
 ith source laboratories to clarify any ambiguities within the data\, and t
 o improve the data quality where necessary.\n\n*Outputs:*\n\nThe exact out
 puts will be agreed with the intern at the outset of the project\, and wil
 l depend upon overall progress with the genetics data programme and the sp
 ecific skills and interests that the intern can contribute to the work.\n\
 nThe project will make a tangible difference to ongoing work looking at eq
 uity of access to molecular tumour testing within the NHS\, and will be of
  interest to CRUK\, NHS providers and commissioners.\n\nFor more informati
 on about the internship programme\, visit:\nhttps://healthdatainsight.org.
 uk/cancer-data-internships-2018/\n
LOCATION:MR3 Centre for Mathematical Sciences
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