Waheba Elsayed

Dr. Waheba Elsayed

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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6 January 2022 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
MMmarwa matboli
marwa matboli
MHMohamed Hassan
Mohamed Hassan
MAMahmoud A. Ali
Mahmoud A. Ali
MMMohamed Tarek Mansour
Mohamed Tarek Mansour
WEWaheba Elsayed
Waheba Elsayed
SAsara agwa
sara agwa
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death in Egypt. A deep understanding of the molecular events occurring in HCC can facilitate the development of novel diagnostic and/or therapeutic approaches. In the present study, we describe a novel axis of hsa-circ-0000221–miR-661–PTPN11 mRNA proposed by in silico and in vitro analysis and its role in HCC pathogenesis. We observe a reduction in the expression levels of hsa-circ-0000221 and PTPN11 mRNA in HCC patients’ sera tested compared with control subjects. The reduction occurs with a concomitant increase in the expression of miR-661. Furthermore, the introduction of exogenous hsa-circ-0000221 into Hep-G2 or SNU449 cell lines results in detectable decrease in cellular viability and an increase in apoptotic manifestations that is associated with G1 accumulation and CCDN1 overexpression. Altogether, these findings indicate the tumor-suppressive role of hsa-circ-0000221 in HCC, which acts through miR-661 inhibition, along with a subsequent PTPN11 mRNA increase, where PTPN11 is known to inhibit cell proliferation in many forms of cancer. Our study encourages further investigation of the role of circRNAs in cancer and their potential use as molecular biomarkers.

12 May 2021 in Cancers
Verified
Journal Article
Open access
PDF file
MAMohamed Ashour
Mohamed Ashour
WAWalaa Allam
Walaa Allam
WEWaheba Elsayed
Waheba Elsayed
RAReham Atteya
Reham Atteya
MEMenattallah Elserafy
Menattallah Elserafy
SESherif El-Khamisy
Sherif El-Khamisy
Cancer-causing mutations often arise from inappropriate DNA repair, yet acute exposure to DNA damage is widely used to treat cancer. The challenge remains in how to specifically induce excessive DNA damage in cancer cells while minimizing the undesirable effects of genomic instability in noncancerous cells. One approach is the acute exposure to hyperthermia, which suppresses DNA repair and synergizes with radiotherapy and chemotherapy. An exception, however, is the protective effect of hyperthermia on topoisomerase targeting therapeutics. The molecular explanation for this conundrum remains unclear. Here, we show that hyperthermia suppresses the level of topoisomerase mediated single- and double-strand breaks induced by exposure to topoisomerase poisons. We further uncover that, hyperthermia suppresses hallmarks of genomic instability induced by topoisomerase targeting therapeutics by inhibiting nuclease activities, thereby channeling repair to error-free pathways driven by tyrosyl-DNA phosphodiesterases. These findings provide an explanation for the protective effect of hyperthermia from topoisomerase-induced DNA damage and may help to explain the inverse relationship between cancer incidence and temperature. They also pave the way for the use of controlled heat as a therapeutic adjunct to topoisomerase targeting therapeutics.

15 March 2026 in bioRxiv
Verified
Preprint
Open access
PDF file
CSChristopher Smith
Christopher Smith
RDRuban Rex Peter Durairaj
Ruban Rex Peter Durairaj
EREmma L. Randall
Emma L. Randall
AAAlys N. Aston
Alys N. Aston
LHLaura Heraty
Laura Heraty
VDVincent Dion
Vincent Dion
The expansion of short tandem repeats is a feature of over 60 different human diseases. Ongoing somatic instability throughout a patient’s lifetime can influence disease progression and has emerged as a therapeutic target. Understanding its mechanism is essential for the identification of both drug targets and therapeutic interventions. A major obstacle towards this translational goal has been to measure changes in repeat size distribution given that these are complex datasets. To address this, here we provide a new analysis method, and accompanying software, that generates delta plots, extracts the instability frequency from targeted long-read sequencing data, the bias towards expansion or contraction, and the average size of the changes. It further provides statistical analysis for comparison between treatments. We show its applicability to non-dividing cells, and in vivo datasets. Moreover, we have developed a streamlined experimental design for dividing cells, Single Clone-based Instability Assay (SCIA), that saves weeks in assessing the effect of a gene knockout on repeat instability and is ideal for an initial screen. We have validated the approach using FAN1, PMS1, and MLH1 knockouts. Using SCIA, we find that although FAN1 knockout clones showed increased frequency of expansions, the size of the expansions were smaller. This highlights the wealth of information that can be extracted and the potential for novel insights into the mechanism of repeat instability.