Integrative molecular and pathologic profiling of triple negative breast cancer

Alsaleem, Mansour (2021) Integrative molecular and pathologic profiling of triple negative breast cancer. PhD thesis, University of Nottingham.

[img] PDF (Thesis - as examined) - Repository staff only until 4 August 2023. Subsequently available to Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (9MB)

Abstract

Introduction:

Breast cancer (BC) is a heterogeneous disease presenting with variable morphologies, molecular profiles, clinical behaviours and responses to therapy. Triple negative breast cancer (TNBC), characterised by the absent expression of the Oestrogen Receptor (ER), Progesterone Receptor (PR) and HER2 overexpression, is an aggressive class of BC for which targeted therapies are lacking. Patients with TNBC comprise approximately 17% of BC patients and show variable responses to chemotherapy, which reflects the transcriptomic and genomic heterogeneity of the disease. In this study, we hypothesised that deciphering TNBC molecular heterogeneity can pave the way for the identification of novel therapeutic targets and the refinement of classification. We investigated large, well annotated cohorts of TNBC using a variety of molecular techniques to: 1) identify genetic predictors of clinical outcomes in TNBC, 2) investigate the mechanistic and prognostic role of novel targets in TNBC including periplakin (PPL), 3) further evaluate the mechanisms of cell adhesion in TNBC.

Methods:

Next generation sequencing was applied to a group of TNBC cases (n=126) with long term follow-up data. Data mining using the supervised neural artificial network (ANN) was performed to identify genes or pathways associated with distant metastasis-free survival (DMFS) and breast cancer-specific survival (BCSS). The prognostic ability of these genes was validated using multiple public domain datasets such as the Breast Cancer Gene-Expression Miner v4. 0 and Genotype 2 outcome datasets. Multivariate Cox regression analysis identified a prognostic gene signature that was independently associated with poor prognosis. Tissue microarrays (TMAs) were constructed to examine the protein expression using immunohistochemistry (IHC).

PPL was identified by ANN analysis as a strong prognostic marker with respect to DMFS and BCSS. The prognostic ability of PPL was also validated using multiple public domain datasets such as the METABRIC, Breast Cancer Gene-Expression Miner v4.0, KM plotter and Genotype 2 outcome datasets. This was followed by the evaluation of its protein expression using IHC. The transient knockdown of PPL using siRNA was used to assess its role in proliferation, migration and invasive capabilities of TNBC cell lines (MB-MDA 231 and MB-MDA 436).

E-cadherin protein expression was determined using TMAs (n=813). IHC for E-cadherin staining using full-face sections was carried out to confirm the identity of E-cadherin and its role on the global gene expression profile. RNA-seq analysis was completed on invasive ductal carcinoma of the breast (IDC) tumours with either E-cadherin positive or negative/low E-cadherin expression. Genes that differentially expressed E-cadherin were assessed using the Robina implementation of EdgeR.

Results:

ANN identified high expression of a set of genes (ACSM4, SPDYC, PPL, DCTN1-AS1, RP11-29H23.5, RPS10P18, AC079305.10 and PAXBP1-AS1) that can individually be used as indicators of poor prognosis and shorter outcomes in TNBC (p<0.05). Adjusting for clinicopathological factors including the patient age, grade, nodal stage, tumour size and lymphovascular invasion using multivariate Cox regression analysis yielded a two-gene prognostic signature (ACSM4 and SPDYC) which was associated with poor prognosis (p<0.05), independent of other prognostic variables. To validate these findings, the protein expression of these two genes was significantly associated with patient outcomes in both an independent and a combined manner (p<0.05).

High PPL mRNA expression was significantly associated with shorter BCSS and DMFS (both P<0.01). PPL mRNA expression was also an independent, poor prognostic predictor for BCSS and DMFS regardless of clinicopathological factors including patient age, grade, nodal stage, tumour size and lymphovascular invasion. High PPL protein expression was significantly associated with poor BCSS and DMFS, independent of other clinicopathological factors (both P<0.01). Modulating expression levels of PPL conferred reduced cell proliferation and disrupted TNBC cell migration and invasion.

Differential gene expression identified a total of 2143 genes differentially expressed between IDCs showing a reduced or loss of expression and normal or above threshold E-cadherin expression. IDCs with reduced or lost E-cadherin expression showed a dysregulation of genes regulating the Wnt signalling pathway (FZD2, GNG5, HLTF, WNT2 and CER1) and the PIK3-AKT signalling pathway (FGFR2, GNF5, GNGT1, IFNA17 and IGF1). Interestingly, key genes reported to be differentially expressed between lobular and ductal tumours did not show associations with E-cadherin loss in IDC.

Conclusion :

The study of independent, large cohorts of clinically well annotated TNBC, using various molecular techniques and bioinformatics approaches, provides evidence of the molecular heterogeneity of TNBC and improves our understanding of the disease. This study has identified novel specific genes and proteins that were strongly predictive of TNBC outcomes including ACSM4, SPDYC and PPL, which are potential therapeutic targets. Also, the methodological approaches applied in this study can be used to identify genetic panels predicting patients’ outcomes and to investigate molecular functions in other subtypes of BC as well as different types of tumours. We provide further insights on the mechanism of the altered adhesion process and the impact of reduced or lost E-cadherin expression in TNBC. Further studies on the therapeutic values of the identified novel genes are warranted.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Rakha, Emad
Green, Andrew
Ellis, Ian
Mongan, Nigel
Keywords: Breast cancer; Triple negative molecular heterogeneity; Cell adhesion; Outcome prediction; Therapeutic targets
Subjects: W Medicine and related subjects (NLM Classification) > WP Gynecology
Faculties/Schools: UK Campuses > Faculty of Medicine and Health Sciences > School of Medicine
Item ID: 64807
Depositing User: Alsaleem, Mansour
Date Deposited: 04 Aug 2021 04:41
Last Modified: 04 Aug 2021 04:41
URI: http://eprints.nottingham.ac.uk/id/eprint/64807

Actions (Archive Staff Only)

Edit View Edit View