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Multimodal predictive modelling of outcome in patients with gastrointestinal cancer

PGR-P-1767

Key facts

Type of research degree
PhD
Application deadline
Sunday 26 May 2024
Project start date
Tuesday 1 October 2024
Country eligibility
UK only
Funding
Competition funded
Source of funding
External organisation
Additional supervisors
Professor Heike Grabsch, Associate Professor Nicholas West, Dr Derek Magee
Schools
School of Medicine
<h2 class="heading hide-accessible">Summary</h2>

Worldwide, cancer of the upper (oesophagus, stomach) and lower gastrointestinal (colon and rectum) tract is newly diagnosed in 3.6 million patients every year and 2.2 million patients die from this disease every year. Despite long term efforts to develop more effective treatment options, GI cancer patient outcome remains poor. This is likely related to the fact that treatment decisions are still mostly based on the disease stage which does not allow for an appropriate granular risk stratification. Many studies have tried to identify factors associated with treatment outcome. However, single predictors from association studies often have low effect sizes limiting their translational value for clinical application and reliable prediction models of treatment outcome in GI cancer are currently lacking in clinical practice. To allow for optimal treatment planning in patients with GI, it is important to assess the patient&rsquo;s individual prognosis at the time of diagnosis.

<h2 class="heading hide-accessible">Full description</h2>

<p>Our research group has access to data from 47 phase II or large phase III clinical trials which recruited patients with upper or lower GI cancer diagnoses with different disease stages. These data include detailed patient characteristics at baseline (diagnosis) as well as during treatment, high quality histopathology data of the cancer including digital images of histopathological specimens before and after treatment, disease stage, response to therapy (radiologically and pathologically), blood values, adverse events, molecular characteristics of the tumour based on investigations of tumour RNA, DNA and protein expression. &nbsp;</p> <h5>Aim of the PhD project: &nbsp;</h5> <p>Integrative assessment of all data items available for an individual patient using/developing machine-learning algorithms and/or other appropriate analysis methods which are capable of detecting complex patterns in large data sets will be able to provide a more precise characterisation of the individual patient and therefore predict individual patient&rsquo;s outcome more accurately. &nbsp;</p> <p><strong>To support the application process or if you want to know more about our non-clinical PhDs a recording of our 2023 webinar can be found via the links below</strong></p> <p><strong>**The deadline dates in the webinar are out of date but are correct in the stand-alone slide deck**</strong></p> <p><a href="https://www.findaphd.com/common/clickCount.aspx?theid=164726&amp;type=184&amp;DID=757&amp;url=https%3a%2f%2fwww.youtube.com%2fwatch%3fv%3djRE-3RqlCh8" rel="nofollow" target="_blank">NIHR Leeds BRC Non Clinical PhD Scheme webinar - YouTube</a></p> <p>with a copy of the slide deck used at</p> <p><a href="https://www.findaphd.com/common/clickCount.aspx?theid=164726&amp;type=184&amp;DID=757&amp;url=https%3a%2f%2fwww.youtube.com%2fwatch%3fv%3dQqQ5PbEdj-8" rel="nofollow" target="_blank">Leeds BRC Non Clinical PhD Webinar FINAL updated slide deck March 24 - YouTube</a></p> <p>&nbsp;</p>

<h2 class="heading">How to apply</h2>

<p>To apply for this scholarship opportunity applicants should complete an <a href="https://biologicalsciences.leeds.ac.uk/research-degrees/doc/how-to-apply">online application form</a> and attach the following documentation to support their application.&nbsp;</p> <ul> <li>Three supporting statements detailing your previous achievements, why you wish to study for a PhD and your experience of using evidence to inform conclusions.&nbsp;These will be used by our shortlisting panel (without any other information you submit) to select candidates for interview. Please<strong> <a href="https://leeds365-my.sharepoint.com/:w:/g/personal/msjsar_leeds_ac_uk/EWpNioRfOnFOtYy0-vI3NMYB-U55N_vtiRXW0VOLS5irwA?rtime=rXynDPvh20g">download</a></strong><a href="https://leeds365-my.sharepoint.com/:w:/g/personal/msjsar_leeds_ac_uk/EWpNioRfOnFOtYy0-vI3NMYB-U55N_vtiRXW0VOLS5irwA?rtime=rXynDPvh20g"> a copy of the template for these statements here</a> and upload it with your application.</li> <li>a full Narrative CV using the <a href="https://leeds365-my.sharepoint.com/:w:/g/personal/msjsar_leeds_ac_uk/ESUuMXUAMQFJplLJWCJumiUBMrjvsU60E0YA0CbF6GZFJQ?e=CV5PTC&amp;wdLOR=c146CB828-59A6-4C09-ABA5-05B1BDE31ED7">NIHR Leeds BRC template</a> &ndash;&nbsp;Please note other versions of CV&rsquo;s will not be accepted.</li> <li>degree certificate and transcripts of marks at both Undergraduate and Postgraduate level as appropriate, or marks so far if still studying</li> <li>Evidence that you meet the University&#39;s minimum English language requirements (if applicable)</li> <li>An <a href="https://app.onlinesurveys.jisc.ac.uk/s/leeds/nihr-leeds-brc-academy-edi-survey">Equality, Diversity and Inclusion questionnaire.</a> We encourage candidates to complete this form so that we can understand our progress in recruiting under-represented groups. It is important to note that all responses are anonymous and data would only ever be used in aggregate to avoid identification of individuals. The questionnaire includes a &lsquo;prefer not to say&rsquo; option against each question if required. The information you provide on this questionnaire will not be used in the shortlisting process.</li> </ul> <p>To help us identify that you are applying for this scholarship project please ensure you provide the following information on your application form;</p> <ul> <li>Select PhD in Medicine as your programme of study</li> <li>Give the full project title and name the supervisors listed in this advert &ndash;&nbsp;Please note you can apply for up to 2 projects. Please list these in order of preference on your applocation form.</li> <li>For source of funding please state you are applying for an NIHR Leeds BRC Non-Clinical Scholarship</li> </ul> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. &nbsp;Within the Faculty of Medicine and Health we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+; and people with disabilities. Applicants will always be selected based on merit and ability.</em>&nbsp;</p>

<h2 class="heading heading--sm">Entry requirements</h2>

A degree in biological sciences, dentistry, medicine, midwifery, nursing, psychology or a good honours degree (2:1 or above) in a subject relevant to the research topic. A Masters degree is desirable but not essential.

<h2 class="heading heading--sm">English language requirements</h2>

Applicants whose first language is not English must provide evidence that their English language is sufficient to meet the specific demands of their study. The Faculty of Medicine and Health minimum requirements in IELTS and TOEFL tests for PhD, MSc, MPhil, MD are: &bull; British Council IELTS - score of 6.5 overall, with no element less than 6.0 &bull; TOEFL iBT - overall score of 92 with the listening and reading element no less than 21, writing element no less than 22 and the speaking element no less than 23.

<h2 class="heading">Funding on offer</h2>

<p>The University of Leeds is providing generous matched funding, supplementing the NIHR Leeds BRC award, to allow us to appoint one further non-clinical PhD Fellow who can select from 18 BRC related projects. Each PhD will be registered at the University of Leeds and we welcome applications from individuals, irrespective of their background, who can evidence great potential and commitment.</p> <p>The&nbsp;scholarship will provide academic&nbsp;fees at the UK rate, as well as a&nbsp;stipend of &pound;18,622 (based on the 2023/24 stipend rate, pro-rata for part time study) for up to three years (full time study, five years part time) and is available for&nbsp;UK applicants&nbsp;only. Due to limited funding we can only consider applicants eligible to pay academic fees at the UK fee rate.</p>

<h2 class="heading">Contact details</h2>

<p>For further information about this project please contact Professor Heike Grabsch</p> <p>e: <a href="mailto:H.I.Grabsch@leeds.ac.uk">H.I.Grabsch@leeds.ac.uk</a></p> <p>For further information please contact the Faculty Admissions Team<br /> e:&nbsp;<a href="mailto:fmhpgradmissions@leeds.ac.uk">fmhpgradmissions@leeds.ac.uk</a>,&nbsp;</p>


<h3 class="heading heading--sm">Linked funding opportunities</h3>