Clinical Pathology - Theses

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    Genetic and Epigenetic Risk Factors for Invasive Lobular Breast Cancer
    Suman, Medha ( 2021)
    Invasive lobular breast cancer (ILBC) is the second most common histological subtype of breast cancer and accounts for 10-15% of all cases. Loss of e-cadherin protein is a hallmark of ILBC and contributes to its characteristic discohesive morphology. In addition to distinct histological features, several subtype-specific molecular and clinical features have been described. However, ILBC remains understudied relative to other breast cancer subtypes, despite its frequency. In this era of precision medicine, there is a growing interest in further refining breast cancer tumour subtyping by identifying additional discriminating molecular features. However, there is limited data to pursue this for ILBC as it is often not well-represented in study samples. For instance, the seminal work on breast cancer classification based on gene-expression levels by Perou et al., (2000) included only two ILBC cases. It is important to identify ways to refine the subtyping of ILBC tumours so that women with ILBC can benefit from a more precise treatment plan, prognosis and targeted therapy options. The main objectives of this PhD project were: i) to examine the distinguishing methylation patterns between ILBC (n=151) and non-ILBC (n=341) tumours ii) to investigate the ILBC methylome to identify methylation signatures for prognostication (n=130) and iii) to subclassify ILBC into subgroups with increased homogeneity based on their genome-wide DNA methylation profiles (ILBC, n=151, non-ILBC=341) and to further characterise these subgroups by investigating their somatic mutational signatures (n=15). Three subgroups of ILBC were defined via unsupervised cluster analysis of genome-wide DNA methylation measured using the Infinium HumanMethylation450K assay. Of these, Subgroup 1 was identified as the most distinct ILBC subgroup, characterised by a predominant hypomethylation across 27,675 CpGs compared with Subgroup 2 and across 13,067 CpGs compared with Subgroup 3. Subgroup 1 showed more similarity to the TNBC (non-ILBC) cases compared with the other two methylation-defined subgroups in terms of their genome-wide methylation pattern. Survival analysis showed that women with ILBC tumours in Subgroup 1 had the poorest overall survival when compared with women in Subgroup 2 (hazard ratio (HR): 0.59, 95% confidence interval (CI): 0.19-1.79) and Subgroup 3 (HR: 0.16, 95% CI: 0.03-0.88), after adjusting for age and year of diagnosis. Subgroup 3 had an enrichment for women who had a first-degree relative with a history of any cancer. Both Subgroup 2 and Subgroup 3 were enriched with women who had a female relative with a history of breast cancer. This suggests that women in Subgroup 2 and Subgroup 3 may be genetically or epigenetically predisposed to developing breast cancer. The somatic genetic variant profiles of the ILBC DNA methylation-defined subgroups were further investigated by performing whole-exome sequencing (WES) on five ILBC tumours representing each of the three subgroups (n=15). The mismatch repair deficiency (MMRd) associated mutational signature SBS6 was the most frequently observed mutational signature in the ILBC tumours, detected in 12/15 (80%) cases. Microsatellite instability (MSI) was also predicted in 13/15 (87%) of the cases, including all 12 tumours with SBS6. Although distinct somatic (genetic) characteristics for tumours of individual subgroups were not observed, this research highlighted the potential role of MMRd in ILBC tumourigenesis and progression. DNA methylation of ILBC was also investigated as a possible prognostic biomarker. The analysis revealed 2,771 variably methylated regions within the ILBC tumours (n=130). A pooled survival analysis of the study set and TCGA data identified APC, TMEM101, HCG4P3 and CELF2 promoter methylation as potential prognostic biomarkers for women with ILBC. Comparing the DNA methylation profiles of ILBC (n=151) and non-ILBC (n=341) tumours, 13,763 genes and 8,456 intergenic regions showing statistically significant differences in DNA methylation (false discovery rate (fdr), P-value < 0.01) were identified. Gene set enrichment analysis revealed that the differentially methylated genes were found to be involved in biological pathways related to metabolism of RNA (R-HSA-8953854), mRNA processing (GO:0006397), RNA splicing (GO:0008380), cell cycle (R-HSA-1640170) and DNA repair (GO:0006281). This study brings together several lines of evidence to indicate that distinct molecular features of ILBC can enable further subtyping, identify important features for targeted therapies (e.g., MMRd) and provide additional information for prognostication. This research identified Subgroup 1 as an important subgroup with similarities to TNBC and more aggressive clinical behaviour. Further investigation of samples from Subgroup 1 may identify additional important targets for precision medicine.
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    Characterising tumour and immunological heterogeneity in colorecal cancer
    Shembrey, Carolyn Elizabeth ( 2021)
    Despite improvements in surgical oncology and precision medicine, 5-year survival rates for those with late-stage colorectal cancer (CRC) remain extremely poor and innovative treatment strategies are needed. Although T-cell directed immunotherapies are strikingly effective in many solid cancer types, durable responses are limited to approximately 5% of all CRC patients. Accordingly, there is an urgent need to explore alternate immunotherapeutic strategies which harness other cytotoxic cell types, most notably NK cells. However, the inter-patient variability of NK cell involvement in CRC, and particularly in colorectal liver metastases (CRLMs), is poorly characterised. Moreover, very little is known regarding the influence of tumour heterogeneity on immunotherapy response, mandating the development of novel methodologies which can dissect divergent responses to immuno-, chemo- and targeted therapies at the level of individual tumour cell subpopulations. In this thesis, the scope of tumour and immunological heterogeneity in primary CRC and CRLMs was assessed from transcriptomic, spatial and functional perspectives. A CRC-specific NK cell gene signature which infers the NK cell load of individual tumours from bulk RNAseq data was designed and validated. Differential expression analysis revealed that tumours with high evidence of this NK cell signature were characterised by the upregulation of chemotactic and cytolytic transcriptional programs. Furthermore, amongst patients with primary CRC, those with high NK scores were shown to have better survival outcomes in two independent cohorts. Focussing on metastatic disease, Cell type Identification by Estimating the Relative Subsets of RNA Transcripts (CIBERSORT) analysis revealed significant variance in terms of immune cell composition between CRLMs and adjacent normal (AdjN) liver tissue. Using a novel mIHC panel to quantify the scope of NK cell infiltration and NK cell ligand expression, it was determined that neoadjuvant chemotherapy increased NK cell penetrance of CRLM tissue, restoring NK cell load to levels comparable with the AdjN liver. Furthermore, NK cell densities were comparable in the AdjN liver and CRLM tissue of patients who partially responded to chemotherapy whereas nonresponders showed preferential accumulation in the AdjN liver. Preliminary data is also presented regarding the establishment of a NK cell versus patient-derived organoid (PDO) co-culture killing assay which can be used to assess the functional activity of NK cells against CRLMs. Lastly, a lineage tracing technique termed optical barcoding (OBC) was employed to study the relationship between intra-tumour heterogeneity and treatment response. Stably marking heterogenous populations of CRC cells with unique fluorescent signatures enabled the real-time identification and tracking of different cellular subpopulations under pharmacological selective pressures. Moreover, optimising the fluorescent protein panel allowed the maximum theoretical subpopulation resolution for the OBC technique to be achieved, greatly improving throughput as compared with previously published fluorescent barcoding techniques. Collectively, the results provided herein have deepened our understanding of tumour and immunological heterogeneity in primary CRC and CRLMs, and, by introducing several novel technologies, have laid strong foundations for future studies.