Mohammed A Aleskandarany

Dr. Mohammed A Aleskandarany

Biomedical and Forensic Science, University of Derby, Derby, UK
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 April 2009 in Clinical Cancer Research
Verified
Journal Article
Open access
PDF file
Emad A RakhaEmad A Rakha
Emad A Rakha
SESomaia E. Elsheikh
Somaia E. Elsheikh
Mohammed A AleskandaranyMohammed A Aleskandarany
Mohammed A Aleskandarany
HHHany O. Habashi
Hany O. Habashi
Andrew GreenAndrew Green
Andrew Green
IEIan Ogilvie Ellis
Ian Ogilvie Ellis
Purpose: Triple-negative (TN; estrogen receptor, progesterone receptor, and HER-2 negative) cancer and basal-like breast cancer (BLBC) are associated with poor outcome and lack the benefit of targeted therapy. It is widely perceived that BLBC and TN tumors are synonymous and BLBC can be defined using a TN definition without the need for the expression of basal markers. Experimental Design: We have used two well-defined cohorts of breast cancers with a large panel of biomarkers, BRCA1 mutation status, and follow-up data to compare the clinicopathologic and immunohistochemical features of TN tumors expressing one or more of the specific basal markers (CK5/6, CK17, CK14, and epidermal growth factor receptor; BLBC) with those TN tumors that express none of these markers (TN3BKE−). Results: Here, we show that although the morphologic features of BLBC are not significantly different from that of TN3BKE- tumors, BLBC showed distinct clinical and immunophenotypic differences. BLBC showed a statistically significant association with the expression of the hypoxia-associated factor (CA9), neuroendocrine markers, and other markers of poor prognosis such as p53. A difference in the expression of cell cycle-associated proteins and biomarkers involved in the immunologic portrait of tumors was seen. Compared with TN3BKE- tumors, BLBC was positively associated with BRCA1 mutation status and showed a unique pattern of distant metastasis, better response to chemotherapy, and shorter survival. Conclusion: TN breast cancers encompass a remarkably heterogeneous group of tumors. Expression of basal markers identifies a biologically and clinically distinct subgroup of TN tumors, justifying the use of basal markers (in TN tumors) to define BLBC.

24 February 2009 in Breast Cancer Research and Treatment
Verified
Journal Article
Closed access
PDF file
HHHany Onsy Habashy
Hany Onsy Habashy
DPDesmond G. Powe
Desmond G. Powe
CSCindy M. Staka
Cindy M. Staka
Emad A RakhaEmad A Rakha
Emad A Rakha
GBGraham Roy Ball
Graham Roy Ball
JGJulia M. W. Gee
Julia M. W. Gee

26 July 2007 in Breast Cancer Research and Treatment
Verified
Journal Article
Closed access
PDF file
SESomaia Elsheikh
Somaia Elsheikh
Andrew GreenAndrew Green
Andrew Green
Mohammed A AleskandaranyMohammed A Aleskandarany
Mohammed A Aleskandarany
MGMatthew Grainge
Matthew Grainge
CPClaire E. Paish
Claire E. Paish
IEIan Ogilvie Ellis
Ian Ogilvie Ellis

8 March 2016 in British Journal of Cancer
Verified
Journal Article
Open access
PDF file
Andrew GreenAndrew Green
Andrew Green
Mohammed A AleskandaranyMohammed A Aleskandarany
Mohammed A Aleskandarany
DADevika Agarwal
Devika Agarwal
SESomaia Elsheikh
Somaia Elsheikh
CNChristopher C Nolan
Christopher C Nolan
Emad A RakhaEmad A Rakha
Emad A Rakha
MYC is amplified in approximately 15% of breast cancers (BCs) and is associated with poor outcome. c-MYC protein is multi-faceted and participates in many aspects of cellular function and is linked with therapeutic response in BCs. We hypothesised that the functional role of c-MYC differs between molecular subtypes of BCs. We therefore investigated the correlation between c-MYC protein expression and other proteins involved in different cellular functions together with clinicopathological parameters, patients’ outcome and treatments in a large early-stage molecularly characterised series of primary invasive BCs (n=1106) using immunuohistochemistry. The METABRIC BC cohort (n=1980) was evaluated for MYC mRNA expression and a systems biology approach utilised to identify genes associated with MYC in the different BC molecular subtypes. High MYC and c-MYC expression was significantly associated with poor prognostic factors, including grade and basal-like BCs. In luminal A tumours, c-MYC was associated with ATM (P=0.005), Cyclin B1 (P=0.002), PIK3CA (P=0.009) and Ki67 (P<0.001). In contrast, in basal-like tumours, c-MYC showed positive association with Cyclin E (P=0.003) and p16 (P=0.042) expression only. c-MYC was an independent predictor of a shorter distant metastases-free survival in luminal A LN+ tumours treated with endocrine therapy (ET; P=0.013). In luminal tumours treated with ET, MYC mRNA expression was associated with BC-specific survival (P=0.001). In ER-positive tumours, MYC was associated with expression of translational genes while in ER-negative tumours it was associated with upregulation of glucose metabolism genes. c-MYC function is associated with specific molecular subtypes of BCs and its overexpression confers resistance to ET. The diverse mechanisms of c-MYC function in the different molecular classes of BCs warrants further investigation particularly as potential therapeutic targets.

6 January 2012 in Breast Cancer Research
Verified
Journal Article
Open access
PDF file
Mohammed A AleskandaranyMohammed A Aleskandarany
Mohammed A Aleskandarany
Andrew GreenAndrew Green
Andrew Green
ABAhmed A Benhasouna
Ahmed A Benhasouna
FBFabricio F Barros
Fabricio F Barros
KNKeith Neal
Keith Neal
Emad A RakhaEmad A Rakha
Emad A Rakha
Introduction: Although the prognostic significance of proliferation in early invasive breast cancer has been recognized for a long time, recent gene-expression profiling studies have reemphasized its biologic and prognostic value and the potential application of its assessment in routine practice, particularly to define prognostic subgroups of luminal/hormone receptor-positive (HR+) tumors. This study aimed to assess the prognostic value of a proliferation assay by using Ki-67 immunohistochemistry as compared with mitotic count scores. Method: Proliferation was assessed by using Ki-67 labeling index (Ki-67LI) and mitotic scores in a large (n = 1,550) and well-characterized series of clinically annotated primary operable invasive breast cancer with long-term follow-up. Tumors were phenotyped based on their IHC profiles into luminal/HR+, HER2+, and triple-negative (TN) classes. We used a split-sample development and validation approach to determine the optimal Ki-67LI cut-offs. Results: The optimal cut-points of Ki-67LI were 10% and 50% for the luminal class. Both Ki7LI and MS were able to split luminal tumors into subgroups with significantly variable outcomes, independent of other variables. Neither mitotic count scores nor Ki-67LI was associated with outcome in the HER2+ or the TN classes. Conclusions: Assessment of proliferation by using Ki-67LI and MS can distinguish subgroups of patients within luminal/hormone receptor-positive breast cancer significantly different in clinical outcomes. Overall, both Ki-67 LI and mitotic-count scores showed comparable results. The method described could provide a cost-effective method for prognostic subclassification of luminal/hormone receptor-positive breast cancer in routine clinical practice.

10 February 2018 in Pathobiology
Verified
Journal Article
Closed access
PDF file
Mohammed A AleskandaranyMohammed A Aleskandarany
Mohammed A Aleskandarany
MVMichel E. Vandenberghe
Michel E. Vandenberghe
Caterina MarchiòCaterina Marchiò
Caterina Marchiò
IEIan Ogilvie Ellis
Ian Ogilvie Ellis
Anna SapinoAnna Sapino
Anna Sapino
Emad A RakhaEmad A Rakha
Emad A Rakha
Breast cancer (BC) displays striking clinical, morphological, and behavioural diversity within a single tumour and between tumours. Currently, mounting evidence indicates that the morphological heterogeneity of BC reflects an underlying spectrum of genetic and epigenetic portraits that control BC behaviour. Further understanding of BC heterogeneity will have an impact, not only on the routine diagnostic practices but also on patients' management decisions. Phenomena like diagnostic inconsistencies and therapeutic resistance, both primary and acquired, could be attributed, at least in part, to tumour heterogeneity within the same cancer and between the primary disease and subsequent recurrences. From a practical standpoint, and to minimise the impact of BC intratumoral heterogeneity, pragmatic approaches for adequate tumour sampling have been suggested in translational biomarker discovery and validation research studies and in the clinical setting. Here, we provide a brief overview of BC heterogeneity, with an emphasis on the clinical consequences of intratumoral heterogeneity.