Objective: The objective of this study is to investigate the expression and regulatory mechanisms of A disintegrin and metalloproteinase domain 12 (ADAM12) in colorectal cancer (CRC) tissues and cells.
Methods: Download and analyze the expression levels of ADAM12 in the TCGA and GSE68468 datasets. Collect paraffin-preserved specimens from the Chongqing University Jiangjin Hospital from April 2017 to December 2019 and detect the expression of ADAM12 through immunohistochemistry. Cell experiments were conducted using colorectal cancer cell lines (SW480, HCT116), and cells with high expression of ADAM12 were selected for silencing experiments, and cell proliferation ability using CCK-8, and migration ability of cells in each group using scratch assay and Transwell invasion assay. The EMT markers (E-cadherin, N-cadherin, Vimentin, Twist) and the Wnt/β-catenin markers (β-catenin, GSK-3β, p-GSK-3β, C-MYC, MMP-7) were detected using western blot. We construct a nude mouse CRC tumor model and validate the effect of ADAM12 on EMT and Wnt/β-catenin through immunohistochemistry and Western blot.
Results: Bioinformatics showed that increased expression of ADAM12 was strongly correlated with patient prognosis. Immunohistochemistry showed that elevated ADAM12 was associated with vascular invasion (p < 0.05), neurological invasion (p < 0.01), lymph node metastasis (p < 0.01), and TNM staging (p < 0.001). Experiments on cell function revealed that the ADAM12 overexpression group augmented CRC cells' proliferation and migration. After overexpression of ADAM12, the expression of N-cadherin, Vimentin, and Twist increased, while the expression of E-cadherin decreased (p < 0.01). The expression of Proteins related to Wnt/β-catenin: β-catenin, p-GSK-3 β, C-MYC and MMP-7 increased (p < 0.01), and Wnt/β-catenin inhibitor MSAB can counteract the effect of ADAM12 on EMT in CRC cells. The subcutaneous tumor formation experiment results in nude mice showed that ADAM12 promoted tumor growth and induced EMT compared to the control group.
Conclusion: ADAM12 overexpression through the Wnt/β-catenin signal axis controls the EMT of CRC to promote invasion and metastasis.
Background: Osteosarcoma is a highly invasive bone marrow stromal tumor with limited treatment options. Oxidative stress plays a crucial role in the development and progression of tumors, but the underlying regulatory mechanisms are not fully understood. Recent studies have revealed the significant involvement of UBE2L3 in oxidative stress, but its specific role in osteosarcoma remains poorly investigated.
Objective: This study aimed to explore the molecular mechanisms by which UBE2L3 promotes oxidative stress-regulated necroptosis to accelerate the progression of osteosarcoma using in vitro cell experiments.
Methods: Human osteoblast hFOB1.19 cells and various human osteosarcoma cell lines (MG-63, U2OS, SJSA-1, HOS, and 143B) were cultured in vitro. Plasmids silencing UBE2L3 and negative control plasmids were transfected into U2OS and HOS cells. The cells were divided into the following groups: U2OS cell group, HOS cell group, si-NC-U2OS cell group, si-UBE2L3-U2OS cell group, si-NC-HOS cell group, and si-UBE2L3-HOS cell group. Cell viability and proliferation capacity were measured using the Tunnel method and clonogenic assay. Cell migration and invasion abilities were assessed by Transwell and scratch assays. Cell apoptosis was analyzed by flow cytometry, and ROS levels were detected using immunofluorescence. The oxidative stress levels in various cell groups and the expression changes of necroptosis-related proteins were assessed by PCR and WB. Through these experiments, we aim to evaluate the impact of oxidative stress on necroptosis and uncover the specific mechanisms by which targeted regulation of oxidative stress promotes tumor cell necroptosis as a potential therapeutic strategy for osteosarcoma.
Results: The mRNA expression levels of UBE2L3 in human osteosarcoma cell lines were significantly higher than those in human osteoblast hFOB1.19 cells (p <0.01). UBE2L3 expression was significantly decreased in U2OS and HOS cells transfected with si-UBE2L3, indicating the successful construction of stable cell lines with depleted UBE2L3. Tunnel assay results showed a significant increase in the number of red fluorescent-labeled cells in si-UBE2L3 groups compared to si-NC groups in both cell lines, suggesting a pronounced inhibition of cell viability. Transwell assay demonstrated a significant reduction in invasion and migration capabilities of si-UBE2L3 groups in osteosarcoma cells. The clonogenic assay revealed significant suppression of proliferation and clonogenic ability in both U2OS and HOS cells upon UBE2L3 knockdown. Flow cytometry confirmed that UBE2L3 knockdown significantly enhanced apoptosis in U2OS and HOS cells. Immunofluorescence results showed that UBE2L3 silencing promoted oxidative stress levels in osteosarcoma cells and facilitated tumor cell death. WB analysis indicated a significant increase in phosphorylation levels of necroptosis-relate
Garlic (Allium sativum L.) has been consumed globally as a functional food and traditional medicine for various ailments. Its active organosulfur compounds (OSCs) have demonstrated significant anticancer properties, particularly against gastric cancer. However, a comprehensive review of these effects and the underlying molecular mechanisms, including their role in overcoming drug resistance, is currently lacking. This review systematically examines both preclinical and clinical studies on the anticancer effects of garlic and its organosulfur compounds against gastric cancer, with a focus on patents. Emphasis is placed on explaining the mechanisms of action, exploring how these compounds can overcome drug resistance, and highlighting relevant patents that have been granted in this field. The literature search included databases, like PubMed, Web of Science, Google Scholar, ScienceDirect, and patent databases, including articles and patents published up to October 2024. Preclinical studies demonstrate that garlic-derived organosulfur compounds possess anticancer activities against gastric cancer. They work through multiple mechanisms, including inducing apoptosis, causing cell cycle arrest, inhibiting cancer stem cell properties, suppressing epithelial-mesenchymal transition, and modulating key signaling pathways, like PI3K/Akt and NF-κB. These compounds also show potential in overcoming drug resistance by downregulating multidrug resistance proteins and enhancing the effectiveness of standard chemotherapy drugs. Clinical studies suggest that regular garlic consumption may reduce the risk of gastric cancer and improve outcomes in patients undergoing chemotherapy. This review highlights the significant potential of garlic's organosulfur compounds as complementary agents in gastric cancer prevention and treatment and emphasizes the relevance of existing patents and the need for further clinical trials to confirm these effects and develop effective therapeutic strategies.
Background: Mass spectrometry imaging (MSI) is an imaging method based on mass spectrometry technology that can simultaneously visualize the spatial distribution of various biological molecules. The use of MSI in cancer detection and drug discovery has been extensively investigated in recent years.
Objective: This review aims to summarize the latest advances of MSI and its specific applications in cancer detection and drug discovery, providing a basic understanding of the development and application of MSI in the past five years and offering references for the further application of MSI in cancer detection and drug discovery.
Methods: In the database, "mass spectrometry imaging", "cancer treatment", and "drug discovery" were used as keywords for literature retrieval, and the time range was limited to "2018- 2023". After organizing and analyzing the literature and patents, a review was conducted.
Results: Based on the literature, it was found that the updated progress of MSI in the past five years mostly focused on concrete methods, operation procedures, facilities, and composite applications. The patents of MSI were mainly correlated with the mass spectrometry imaging system and its application in cancer treatment. MSI is conducive to investigating the therapeutic schedule of cancer and searching for new drugs.
Conclusion: MSI is a convenient, fast and powerful technology that has made great progress in sample preparation, instrumentation, quantitation, and multimodal imaging. MSI has emerged as a powerful technique in various biomedical applications, which has strong potential in cancer detection, treatment, formation mechanism research, discovery of biomarkers, and drug discovery process.
Background: Ganoderma lucidum extracts are widely used as adjuvants in the treatment of triple-negative breast cancers (TNBC) in China. However, its clinical value in TNBC remains unclear. Therefore, we investigated the clinical effect of Ganoderma lucidum spore powder (GLSP) on prognosis in patients with early-stage TNBC in this study.
Methods: A total of 388 patients who were diagnosed with TNBC at the Sun Yat-sen University Cancer Center from February 2012 to December 2017 were retrospectively reviewed. The propensity score matching (PSM) method was applied to balance baseline data. Kaplan-Meier method and Cox proportional hazards model were used to evaluate the relationship between GLSP and prognosis.
Results: Of the 388 patients, 72 (18.6%) patients took GLSP. After PSM, 208 patients were selected for analysis, including 71 (34.1%) patients who took the powder. The median follow-up period was 51 months. The patients who took GLSP (the treatment group) and those who did not take GLSP (the control group) were similar in most clinico-pathological features before being matched. However, the proportion of patients who received breast-conserving surgery in the treatment group was higher (27.8% vs. 16.1%; p =0.021) than in the control group. No significant difference was found in the baseline data between the two groups for the matched cohort (all p >0.05). Univariate analysis and multivariate analysis showed that patients taking GLSP benefited from improved overall survival (OS) (HR=0.159, p = 0.002) and disease-free survival (DFS) (HR=0.232, p = 0.005) before being matched. The main result of the survival analysis after matching was similar to that described above. Patients in the treatment group achieved both greater OS and DFS benefits than patients in the control group (all p < 0.05). In stratified analysis according to TNM stages, after adjusting for the significant prognostic factors, multivariate analysis revealed that the treatment group had better OS than the control group for patients in stages II and III (HR=0.172, p =0.004).
Conclusion: The results of this real-world propensity-score-matched study suggest that GLSP can improve OS and DFS in early-stage TNBC patients. A higher OS was observed for patients taking GLSP, particularly in stage II and stage III.
Background: Gastric cancer (GC) has a poor prognosis because it is highly aggressive, yet there are currently few effective therapies available. Although protein ubiquitination has been shown to play a complex role in the development of gastric cancer, to date, no efficient ubiquitinating enzymes have been identified as treatment targets for GC.
Methods: The TCGA database was used for bioinformatic investigation of ubiquitin-specific protease 31 (USP31) expression in GC, and experimental techniques, including Western blotting, qRT-PCR, and immunohistochemistry, were used to confirm the findings. We also analyzed the relationship between USP31 expression and clinical prognosis in patients with GC. We further investigated the effects of USP31 on the proliferation, invasion, migration, and glycolysis of GC cells in vitro and in vivo by using colony formation, CCK-8 assays, Transwell chamber assays, cell scratch assays, and cell-derived xenograft. Furthermore, we examined the molecular processes by which USP31 influences the biological development of GC.
Results: Patients with high USP31 expression have a poor prognosis because USP31 is abundantly expressed in GC. Therefore, USP31 reduces the level of ubiquitination of the Wnt/β-catenin pathway by binding to β-catenin, thereby activating glycolysis, which ultimately promotes GC proliferation and aggressive metastasis.
Conclusion: USP31 inhibits ubiquitination of β-catenin by binding to it, stimulates the Wnt/β-- catenin pathway, activates glycolysis, and accelerates the biology of GCs, which are all demonstrated in this work.
Objective: This study aimed to explore the clinical efficacy and safety of durvalumab combined with albumin-bound paclitaxel and carboplatin as neoadjuvant therapy for resectable stage III Non-small Cell Lung Cancer (NSCLC).
Methods: A single-arm open-label phase Ib study was conducted. A total of 40 patients with driver gene-negative resectable stage III NSCLC were enrolled. All patients received neoadjuvant treatment with durvalumab in combination with albumin-bound paclitaxel and carboplatin. The clinical efficacy, Major Pathological Response (MPR), Complete Pathological Response (pCR), and safety were assessed. Flow cytometry was used to detect the expression of programmed cell death receptor 1 (PD-1) on total T, helper T, and cytotoxic T lymphocytes in peripheral blood before and after neoadjuvant treatment. Adverse reactions during the treatment were recorded. Disease- free Survival (DFS) and Overall Survival (OS) curves were constructed.
Results: After the neoadjuvant treatment, the overall Objective Response Rate (ORR) in the 40 patients with NSCLC was 65.00%. MPR was achieved in 27 patients (67.50%), and pCR was achieved in nine patients (22.50%). The expression levels of PD-1 on total T, helper T, and cytotoxic T lymphocytes in patients with NSCLC significantly decreased after treatment (all p < 0.05). The most common adverse events were hair loss (47.50%), nausea and vomiting (42.50%), and fatigue (40.00%). The majority of adverse events were grades 1 and 2, with a small number of events being grades 3 and 4. At the end of the follow-up period, the average DFS was 21.49 ± 0.99 months, and the average OS was 24.79 ± 0.53 months.
Conclusion: Neoadjuvant treatment with durvalumab combined with albumin-bound paclitaxel and carboplatin as first-line therapy for driver gene-negative stage III NSCLC achieved a high pathological response rate and improved immune function. It is expected to extend patient survival with good tolerability.
An aberrant increase in cancer incidences has demanded extreme attention globally despite advancements in diagnostic and management strategies. The high mortality rate is concerning, and tumour heterogeneity at the genetic, phenotypic, and pathological levels exacerbates the problem. In this context, lack of early diagnostic techniques and therapeutic resistance to drugs, sole awareness among the public, coupled with the unavailability of these modern technologies in developing and low-income countries, negatively impact cancer management. One of the prime necessities of the world today is the enhancement of early detection of cancers. Several independent studies have shown that screening individuals for cancer can improve patient survival but are bogged down by risk classification and major problems in patient selection. Artificial intelligence (AI) has significantly advanced the field of oncology, addressing various medical challenges, particularly in cancer management. Leveraging extensive medical datasets and innovative computational technologies, AI, especially through deep learning (DL), has found applications across multiple facets of oncology research. These applications range from early cancer detection, diagnosis, classification, and grading, molecular characterization of tumours, prediction of patient outcomes and treatment responses, personalized treatment, and novel anti-cancer drug discovery. Over the past decade, AI/ML has emerged as a valuable tool in cancer prognosis, risk assessment, and treatment selection for cancer patients. Several patents have been and are being filed and granted. Some of those inventions were explored and are being explored in clinical settings as well. In this review, we will discuss the current status, recent advancements, clinical trials, challenges, and opportunities associated with AI/ML applications in cancer detection and management. We are optimistic about the potential of AI/ML in improving outcomes for cancer and the need for further research and development in this field.
The development of cancer has been a multistep process involving mutation, proliferation, survival, invasion, and metastasis. Of all the characteristics of cancer, metastasis is believed to be the hallmark as it is responsible for the highest number of cancer-related deaths. In connection with this, Matrix metalloproteinases (MMPs), that has a role in metastasis, are one of the novel therapeutic targets. MMPs belong to the family of zinc-dependent endopeptidases and are capable of degrading the components of the extracellular matrix (ECM). The role of MMPs in ECM remodeling includes tissue morphogenesis, uterine cycling, growth, tissue repair, and angiogenesis. During pathological conditions, MMPs play a critical role in the excessive degradation of ECM which includes arthritis, tumour invasion, tumour metastasis, and several other autoimmune disorders. Moreover, they are believed to be involved in many physiological aspects of the cell, such as proliferation, migration, differentiation, angiogenesis, and apoptosis. It is reported that dysregulation of MMP in a variety of cancer subtypes have a dual role in tumour growth and metastasis processes. Further, multiple studies suggest the therapeutic potential of targeting MMP in invading cancer. The expression of MMP-2 correlates with the clinical characteristics of cancer patients, and its expression profile is a new diagnostic and prognostic biomarker for a variety of human diseases. Hence, manipulating the expression or function of MMP-2 may be a potential treatment strategy for different diseases, including cancers. Hence, the present review discusses the therapeutic potential of targeting MMP in various types of cancers and their recent patents.
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