ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Preparation of human serum albumin nanoparticles for cancer therapyTargeting tumour microenvironment (TME) is an emerging strategy to fight cancer. In TME, cancer cells exhibit abnormal vasculature and altered metabolic states (anaerobic respiration instead of aerobic respiration) to cope with their high oxygen and nutrient demands. Remoulding TME via normalizing vasculature and preventing lactic acid transport contributes to the inhibition of tumour development.
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · restricted
Characterising the sensitivity of oocytes with a loss of function of BRCA1Breast cancer susceptibility gene 1 (BRCA1) plays an essential role in repairing DNA damages. Inherited BRCA1 mutation is linked to higher risks of breast and ovarian cancer, meaning the mutation carriers are likely to require cancer treatments. This thesis uses a special mouse model carrying an oocyte(egg)-specific BRCA1 mutation to exam the impact of cancer treatment on female’s ovarian health.
ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown
Engineering PSMA-targeted exosome-like vesicles to target prostate cancer metastasisProstate cancer (PC) is the second most common type of cancer in men worldwide. A range of effective anti-cancer drugs have been used to treat advanced PC however, their systemic toxicity has limited their clinical use. Therefore, there is an unmet need to develop novel selective drug delivery strategies to deliver cancer therapeutics to PC tissues. Two most common selective targeting approaches t
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Data Sheet 1_ALKBH5 inhibitors for cancer therapy: molecular docking, challenges and future prospects.docx<p>N<sup>6</sup>-Methyladenosine (m<sup>6</sup>A), the most abundant internal modification of eukaryotic mRNA, is dynamically reversed by the Fe<sup>II</sup>/α-ketoglutarate-dependent dioxygenase ALKBH5, a key m<sup>6</sup>A “eraser” that regulates target mRNA fate through demethylation. ALKBH5 is aberrantly overexpressed in acute myeloid leukemia, glioblastoma, breast cancer and other malignancie
figshare + Loughborough Research Repository2026 · Astronomical catalogue · restricted
Supporting data for "Deciphering the Putative Cell-of-Origin and Cuproptosis-Based Therapeutic Vulnerabilities of Ovarian Clear Cell Carcinoma”<p dir="ltr">The dataset contains the raw data and processed data presentation of the research"Deciphering the Putative Cell-of-Origin and Cuproptosis-Based Therapeutic Vulnerabilities of Ovarian Clear Cell Carcinoma". The content includes the in vitro experimental assays such as cell proliferation assay, flow cytomety, IHC staining, western blot etc and in vivo experiment records.</p>
figshare2026 · Astronomical catalogue
Dataset, Model Weights and Code for: PAIRWISE: Deep Learning-based Prediction of Effective Personalized Drug Combinations in Cancer Response<p dir="ltr">PAIRWISE: Deep Learning-based Prediction of Effective Personalized Drug Combinations in CancerPAIRWISE predicts whether a drug pair acts synergistically in a specific tumour sample. It fuses three modalities — molecular graphs of the two compounds, theirdrug–target interaction profiles propagated over a protein–protein interactionnetwork, and the sample transcriptome — through an atte
figshare2026 · Astronomical catalogue
Table 1_Preclinical efficacy and safety of drug-loaded porous silicon nanoparticles for cancer treatment: a systematic review of in vitro and in vivo studies.docxIntroduction<p>Porous silicon nanoparticles (pSiNPs) are promising carriers for anticancer therapy because of their high drug-loading capacity, modifiable surface properties, and potential for stimulus-responsive drug release. This systematic review assessed the efficacy and safety of drug-loaded pSiNPs in in vitro and in vivo cancer models.</p>Methods<p>Searches were conducted from database incep