Nab-paclitaxel as second-line treatment in advanced gastric cancer: a multicenter phase II study of the Hellenic Oncology Research Group

Explainable drug repurposing via path based knowledge graph completion

Drug repurposing aims to find new therapeutic applications for existing drugs in the pharmaceutical market, leading to significant savings in time and cost. The use of artificial intelligence and knowledge graphs to propose repurposing candidates facilitates the process, as large amounts of data can be processed. However, it is important to pay attention to the explainability needed to validate the predictions. We propose a general architecture to understand several explainable methods for graph completion based on knowledge graphs and design our own architecture for drug repurposing. We present XG4Repo (eXplainable Graphs for Repurposing), a framework that takes advantage of the connectivity of any biomedical knowledge graph to link compounds to the diseases they can treat. Our method allows methapaths of different types and lengths, which are automatically generated and optimised based on data. XG4Repo focuses on providing meaningful explanations to the predictions, which are based on paths from compounds to diseases. These paths include nodes such as genes, pathways, side effects, or anatomies, so they provide information about the targets and other characteristics of the biomedical mechanism that link compounds and diseases. Paths make predictions interpretable for experts who can validate them and use them in further research on drug repurposing. We also describe three use cases where we analyse new uses for Epirubicin, Paclitaxel, and Predinisone and present the paths that support the predictions.

Efficacy and safety of nab-paclitaxel in metastatic gastric cancer: a meta-analysis

Background: Nab-paclitaxel is formulated to address several limitations of paclitaxel. Methods: A systematic review was done of several databases and a meta-analysis with a random-effects model was conducted to assess the efficacy and safety of nab-paclitaxel in metastatic gastric cancer (MGC). Results: Included studies revealed that nab-paclitaxel provides a 30.4% overall response rate and 65.7% disease control rate in MGC patients. The overall survival was 9.65 months and progression-free survival was 4.48 months, associated with the treatment line and regimen. The highest incidence of grade 3 and higher treatment-related adverse events was for neutropenia (29.9%). Conclusion: Nab-paclitaxel provides better disease response and longer survival with manageable side effects in MGC compared with paclitaxel.

Nanoparticle Albumin‑Bound Paclitaxel and Solvent-Based Paclitaxel as Chemotherapy Options for Patients With Advanced Gastric Cancer: A Systematic Review and Meta-Analysis

The aim of this study is to assess and compare the effectiveness and safety of nanoparticle albumin-bound paclitaxel (nab-PTX) and solvent-based PTX (sb-PTX) as treatment options for advanced gastric cancer. This meta-analysis was reported according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. We carried out a comprehensive search of PubMed, Google Scholar, and EMBASE from inception to June 15, 2023. The search strategy included the following keywords: "Nanoparticle albumin-bound paclitaxel," "solvent-based paclitaxel," and "advanced gastric cancer," along with their synonyms and medical subject heading (MeSH) terms. In this meta-analysis, the primary outcome was the comparison of overall survival and progression-free survival between the two groups. For safety purposes, we compared the risk of hematological and non-hematological events between the two groups. Four studies were included in this meta-analysis enrolling 1052 patients (483 received nb-PTX and 569 received sb-PTX). In terms of efficacy, nab-PTX showed favorable trends in overall survival and progression-free survival, despite no statistically significant differences being reported. The subgroup meta-analysis showed that nab-PTX seemed to have a better effect on peritoneal metastasis compared to sb-PTX. Regarding safety, the number of patients with neutropenia and leucopenia was significantly higher in the nab-PTX group compared to the sb-PTX group. However, the difference was statistically insignificant. Future research should focus on conducting more robust studies to further validate these findings and establish a stronger evidence base for the use of nab-PTX in this patient population.

Engineered Ultrasmall Nanoparticle Drug-Immune Conjugates with "Hit and Run" Tumor Delivery to Eradicate Gastric Cancer

Despite advances by recently approved antibody-drug conjugates in treating advanced gastric cancer patients, substantial limitations remain. Here, several key obstacles are overcome by developing a first-in-class ultrasmall (sub-8-nanometer (nm)) anti-human epidermal growth factor receptor 2 (HER2)-targeting drug-immune conjugate nanoparticle therapy. This multivalent fluorescent core-shell silica nanoparticle bears multiple anti-HER2 single-chain variable fragments (scFv), topoisomerase inhibitors, and deferoxamine moieties. Most surprisingly, drawing upon its favorable physicochemical, pharmacokinetic, clearance, and target-specific dual-modality imaging properties in a "hit and run" approach, this conjugate eradicated HER2-expressing gastric tumors without any evidence of tumor regrowth, while exhibiting a wide therapeutic index. Therapeutic response mechanisms are accompanied by the activation of functional markers, as well as pathway-specific inhibition. Results highlight the potential clinical utility of this molecularly engineered particle drug-immune conjugate and underscore the versatility of the base platform as a carrier for conjugating an array of other immune products and payloads.

Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer

BACKGROUND

Gastric cancer is a fatal gastrointestinal cancer with high morbidity and poor prognosis. The dismal 5-year survival rate warrants reliable biomarkers to assess and improve the prognosis of gastric cancer. Distinguishing driver mutations that are required for the cancer phenotype from passenger mutations poses a formidable challenge for cancer genomics.

METHODS

We integrated the multi-omics data of 293 primary gastric cancer patients from The Cancer Genome Atlas (TCGA) to identify key driver genes by establishing a prognostic model of the patients. Analyzing both copy number alteration and somatic mutation data helped us to comprehensively reveal molecular markers of genomic variation. Integrating the transcription level of genes provided a unique perspective for us to discover dysregulated factors in transcriptional regulation.

RESULTS

We comprehensively identified 31 molecular markers of genomic variation. For instance, the copy number alteration of WASHC5 (also known as KIAA0196) frequently occurred in gastric cancer patients, which cannot be discovered using traditional methods based on significant mutations. Furthermore, we revealed that several dysregulation factors played a hub regulatory role in the process of biological metabolism based on dysregulation networks. Cancer hallmark and functional enrichment analysis showed that these key driver (KD) genes played a vital role in regulating programmed cell death. The drug response patterns and transcriptional signatures of KD genes reflected their clinical application value.

CONCLUSIONS

These findings indicated that KD genes could serve as novel prognostic biomarkers for further research on the pathogenesis of gastric cancers. Our study elucidated a multidimensional and comprehensive genomic landscape and highlighted the molecular complexity of GC.

Nano drug delivery systems in upper gastrointestinal cancer therapy

Upper gastrointestinal (GI) carcinomas are characterized as one of the deadliest cancer types with the highest recurrence rates. Their treatment is challenging due to late diagnosis, early metastasis formation, resistance to systemic therapy and complicated surgeries performed in poorly accessible locations. Current cancer medication face deficiencies such as high toxicity and systemic side-effects due to the non-specific distribution of the drug agent. Nanomedicine has the potential to offer sophisticated therapeutic possibilities through adjusted delivery systems. This review aims to provide an overview of novel approaches and perspectives on nanoparticle (NP) drug delivery systems for gastrointestinal carcinomas. Present regimen for the treatment of upper GI carcinomas are described prior to detailing various NP drug delivery formulations and their current and potential role in GI cancer theranostics with a specific emphasis on targeted nanodelivery systems. To date, only a handful of NP systems have met the standard of care requirements for GI carcinoma patients. However, an increasing number of studies provide evidence supporting NP-based diagnostic and therapeutic tools. Future development and strategic use of NP-based drug formulations will be a hallmark in the treatment of various cancers. This article seeks to highlight the exciting potential of novel NPs for targeted cancer therapy in GI carcinomas and thus provide motivation for further research in this field.

Efficacy and Safety of Image-Guided Intensity-Modulated Radiation Therapy and Volumetric Modulated Arc Therapy Combined with Paclitaxel Liposomes and Cisplatin for Locally Advanced Stage IIB-IIIB Cervical Cancer: A Retrospective Study at a Single Center

BACKGROUND This retrospective study aimed to investigate the efficacy and safety of image-guided intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) combined with administration of paclitaxel liposomes and cisplatin for locally advanced stage IIB-IIIB cervical cancer at a single center in China. MATERIAL AND METHODS The clinical data of 126 patients with stage IIB-IIIB cervical cancer treated in our hospital were retrospectively analyzed. The patients were divided into the IMRT group (n=63) and the VMAT group (n=63). The short-term clinical efficacy, the incidence of adverse reactions, the quality-of-life score, and the changes in levels of T-lymphocyte subsets, serum inflammatory factors, and tumor markers were compared pre- and posttreatment between the 2 groups. RESULTS The clinical response rate was 90.5% and 96.8% in the IMRT group and the VMAT group, respectively; the difference was not statistically significant. After treatment, the levels of CD3⁺, CD4⁺, and CD4⁺/CD8⁺ subsets rose significantly, while the CD8⁺ level declined significantly in both groups compared with the pretreatment levels. After treatment, the levels of serum vascular endothelial growth factor, squamous cell carcinoma antigen, interleukin-8, tumor necrosis factor-a, carcinoembryonic antigen, and carbohydrate antigen 125 declined in both groups compared with pretreatment levels. After treatment, the Karnofsky performance scale score rose in both groups, and it was higher in the VMAT group than in the IMRT group. CONCLUSIONS IMRT and VMAT combined with paclitaxel liposomes and cisplatin have similar short-term clinical efficacy and long-term survival rates in the treatment of stage IIB-IIIB cervical cancer.