• A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method 

  North, B; Kocher, HM; Sasieni, P (2019-06-26)

• ROCK and Rac1 signalling in squamous cell carcinoma with loss of laminin 332 

  Caley, M; Martins, V; Moore, K; Lashari, M; Donaldson, M; Marshall, JF; O'Toole, EA (2016-05)

• Lipid Metabolism at the Nexus of Diet and Tumor Microenvironment 

  Peck, B; Schulze, A (Elsevier, 2019-11-01)

  Obesity is a leading contributing factor to cancer development worldwide. Epidemiological evidence suggests that diet affects cancer risk and also substantially alters therapeutic outcome. Therefore, studying the impact ...

• Exploiting evolutionary steering to induce collateral drug sensitivity in cancer 

  Acar, A; Nichol, D; Fernandez-Mateos, J; Cresswell, GD; Barozzi, I; Hong, SP; Trahearn, N; Spiteri, I; Stubbs, M; Burke, R (Springer Science and Business Media LLC, 2020-12)

• Gastrin Induces Nuclear Export and Proteasome Degradation of Menin in Enteric Glial Cells. 

  Sundaresan, S; Meininger, CA; Kang, AJ; Photenhauer, AL; Hayes, MM; Sahoo, N; Grembecka, J; Cierpicki, T; Ding, L; Giordano, TJ (2017-12)

  BACKGROUND & AIMS: The multiple endocrine neoplasia, type 1 (MEN1) locus encodes the nuclear protein and tumor suppressor menin. MEN1 mutations frequently cause neuroendocrine tumors such as gastrinomas, characterized by ...

• Cancer associated fibroblast FAK regulates malignant cell metabolism. 

  Demircioglu, F; Wang, J; Candido, J; Costa, ASH; Casado, P; de Luxan Delgado, B; Reynolds, LE; Gomez-Escudero, J; Newport, E; Rajeeve, V (2020-03-10)

  Emerging evidence suggests that cancer cell metabolism can be regulated by cancer-associated fibroblasts (CAFs), but the mechanisms are poorly defined. Here we show that CAFs regulate malignant cell metabolism through ...

• A novel use of random priming-based single-strand library preparation for whole genome sequencing of formalin-fixed paraffin-embedded tissue samples. 

  Saunderson, EA; Baker, A-M; Williams, M; Curtius, K; Jones, JL; Graham, TA; Ficz, G (2020-03)

  The desire to analyse limited amounts of biological material, historic samples and rare cell populations has collectively driven the need for efficient methods for whole genome sequencing (WGS) of limited amounts of poor ...

• Pancreatic Cancer UK Grand Challenge: Developments and challenges for effective CAR T cell therapy for pancreatic ductal adenocarcinoma. 

  Cutmore, LC; Brown, NF; Raj, D; Chauduri, S; Wang, P; Maher, J; Wang, Y; Lemoine, NR; Marshall, JF (2020-02-15)

  BACKGROUND: Death from pancreatic ductal adenocarcinoma (PDAC) is rising across the world and PDAC is predicted to be the second most common cause of cancer death in the USA by 2030. Development of effective biotherapies ...

• Casein kinase 1 family proteins promote Slimb-dependent Expanded degradation 

  Fulford, AD; Holder, MV; Frith, D; Snijders, AP; Tapon, N; Ribeiro, PS (2019-09-30)

• How many samples are needed to infer truly clonal mutations from heterogenous tumours? 

  Opasic, L; Zhou, D; Werner, B; Dingli, D; Traulsen, A (2019-04-29)

  BACKGROUND: Modern cancer treatment strategies aim to target tumour specific genetic (or epigenetic) alterations. Treatment response improves if these alterations are clonal, i.e. present in all cancer cells within tumours. ...

• The glutathione redox system is essential to prevent ferroptosis caused by impaired lipid metabolism in clear cell renal cell carcinoma 

  Miess, H; Dankworth, B; Gouw, AM; Rosenfeldt, M; Schmitz, W; Jiang, M; Saunders, B; Howell, M; Downward, J; Felsher, DW (2018-10-04)

• Three-dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model 

  Maguire, SL; Peck, B; Wai, PT; Campbell, J; Barker, H; Gulati, A; Daley, F; Vyse, S; Huang, P; Lord, CJ (2016-11)

• Quantification of subclonal selection in cancer from bulk sequencing data 

  Williams, M; Werner, B; Curtis, C; Barnes, C; Sottoriva, A; Graham, T (2016-12-22)

  Abstract Recent studies have identified prevalent subclonal architectures within many cancer types. However, the temporal evolutionary dynamics that produce these subclonal architectures remain unknown. Here we measure ...

• 3D Growth of Cancer Cells Elicits Sensitivity to Kinase Inhibitors but Not Lipid Metabolism Modifiers 

  Jones, DT; Valli, A; Haider, S; Zhang, Q; Smethurst, EA; Schug, ZT; Peck, B; Aboagye, EO; Critchlow, SE; Schulze, A (2019-02)

• Insights Into the Pathophysiology of Esophageal Adenocarcinoma. 

  Quante, M; Graham, TA; Jansen, M (2018-01)

  Although researchers have identified genetic alterations that contribute to development of esophageal adenocarcinoma, we know little about features of patients or environmental factors that mediate progression of chronic ...

• Tumour associated macrophage recruitment in SCC 

  Caley, M; Martins, V; Moore, K; Lashari, M; Marshall, J; O'Toole, EA (2017-10)

• Inhibition of fatty acid desaturation is detrimental to cancer cell survival in metabolically compromised environments. 

  Peck, B; Schug, ZT; Zhang, Q; Dankworth, B; Jones, DT; Smethurst, E; Patel, R; Mason, S; Jiang, M; Saunders, R (2016)

  BACKGROUND: Enhanced macromolecule biosynthesis is integral to growth and proliferation of cancer cells. Lipid biosynthesis has been predicted to be an essential process in cancer cells. However, it is unclear which enzymes ...

• Classifying the evolutionary and ecological features of neoplasms 

  Maley, CC; Aktipis, A; Graham, TA; Sottoriva, A; Boddy, AM; Janiszewska, M; Silva, AS; Gerlinger, M; Yuan, Y; Pienta, KJ (2017-10)

• Evolutionary dynamics of neoantigens in growing tumours 

  Lakatos, E; Williams, M; Schenck, R; Cross, W; Househam, J; Werner, B; Gatenbee, C; Robertson-Tessi, M; Barnes, C; Anderson, A (2019-01-31)

  ABSTRACT Cancer evolution is driven by the acquisition of somatic mutations that provide cells with a beneficial phenotype in a changing microenvironment. However, mutations that give rise to neoantigens, novel cancer–specific ...

• Resolving genetic heterogeneity in cancer 

  Turajlic, S; Sottoriva, A; Graham, T; Swanton, C (2019-07)

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