Searchable abstracts of presentations at key conferences in oncology

oa0001p045 | (1) | PacRim7

Single-cell transcriptomics reveals marked heterogeneity for intrinsic molecular subtype and cellular function in estrogen receptor positive breast cancer

Roden Daniel , Wu Sunny , Harvey Kate , Chan Chia-Ling , Al-Eryani Ghamdan , Cazet Aurelie , Lim Elgene , Swarbrick Alexander

Breast cancer is a heterogeneous disease that can be classified into a number of molecular subtypes that predict prognosis and influence clinical treatment. Cellular heterogeneity is also evident within breast cancers and plays a key role in their development, evolution and metastatic progression. How clinical heterogeneity relates to cellular heterogeneity is poorly understood. We have approached this question using single-cell RNA-Seq on 1000s of individual cells from well-e...

oa0001p009 | (1) | PacRim7

Targeting stromal remodelling and cancer stem cell plasticity overcomes chemoresistance in metastatic triple negative breast cancer

Cazet Aurelie , Hui Mun , Elsworth Benjamin , Wu Sunny , Roden Daniel , Chan Chia-Ling , O'Toole Sandra , Watkins D Neil , Taylor Renea , Cox Thomas , Samuel Michael , Martin Miguel , Swarbrick Alexander

The cellular and molecular basis of stromal cell recruitment, activation and crosstalk in carcinomas is poorly understood, limiting the development of targeted anti-stromal therapies. In mouse models of triple negative breast cancer (TNBC), Hedgehog ligand produced by neoplastic cells reprograms cancer-associated fibroblast (CAF) to provide a supportive niche for the acquisition of a chemo-resistant, cancer stem cell (CSC) phenotype via FGF5 expression and production ...

oa0001p022 | (1) | PacRim7

Characterisation of developmental pathways that drive metastatic progression of breast cancer at single cell resolution

Valdes-Mora Fatima , Salomon Robert , Gloss Brian , Law Andrew MK , Murphy Kendelle , Roden Daniel L , Castillo Lesley , Colino-Sanguino Yolanda , Farbehi Nona , Conway James , Timpson Paul , Ormandy Christopher J , Gallego-Ortega David

Tumour cell heterogeneity constitutes a challenge for cancer treatment and deeply impact the outcome of patients. A simultaneous overview of cancer cells and associated stromal cells is critical for the design of improved therapeutic regimes. Single-cell RNA-seq has emerged as a powerful method to unravel heterogeneity of complex biological systems; this has enabled in vivo characterization of cell type compositions through unsupervised sampling and modelling of trans...