Molecular therapy. OncologyPub Date : 2025-06-04eCollection Date: 2025-06-18DOI: 10.1016/j.omton.2025.200998
Alan Hodges, Shu-Hsia Chen, Ping-Ying Pan
{"title":"The safer effector cell? Potential of CD147 CAR NK cells to tackle tumors with lower toxicity.","authors":"Alan Hodges, Shu-Hsia Chen, Ping-Ying Pan","doi":"10.1016/j.omton.2025.200998","DOIUrl":"10.1016/j.omton.2025.200998","url":null,"abstract":"","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"200998"},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12171805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Molecular therapy. OncologyPub Date : 2025-05-26eCollection Date: 2025-06-18DOI: 10.1016/j.omton.2025.201006
Greyson Biegert, Amanda Rosewell Shaw, Daisuke Morita, Caroline Porter, Ryu Matsumoto, Lisa Jatta, Noah Crooks, Mae Woods, Qizhi Cathy Yao, Robin Parihar, Masataka Suzuki
{"title":"Oncolytic adeno-immunotherapy improves allogeneic adoptive HER2.CAR-NK function against pancreatic ductal adenocarcinoma.","authors":"Greyson Biegert, Amanda Rosewell Shaw, Daisuke Morita, Caroline Porter, Ryu Matsumoto, Lisa Jatta, Noah Crooks, Mae Woods, Qizhi Cathy Yao, Robin Parihar, Masataka Suzuki","doi":"10.1016/j.omton.2025.201006","DOIUrl":"10.1016/j.omton.2025.201006","url":null,"abstract":"<p><p>Pancreatic ductal adenocarcinoma (PDAC) responds poorly to conventional treatments and immunotherapy. We previously developed a binary oncolytic/helper-dependent adenovirus system (CAd<i>Trio</i>) that facilitated oncolysis and expressed the immunomodulatory molecule interleukin-12 and a programmed death ligand 1 (PD-L1) blocking mini-antibody. Given that CAd<i>Trio</i> enhanced endogenous natural killer (NK) cell anti-tumor activity in humanized mice bearing PDAC tumors and that NK cells can be adoptively transferred to patients safely in the allogeneic setting, we hypothesized that a combination of CAd<i>Trio</i> and allogeneic NK cells expressing a HER2-specific chimeric antigen receptor (HER2.CAR-NK) would be an effective, entirely \"off-the-shelf\" treatment against PDAC. We found that CAd<i>Trio</i>-derived immunomodulatory molecules prolonged HER2.CAR-NK persistence at tumor sites, allowing long-term tumor growth control and improved survival in both humanized mice and a heterogeneous PDAC patient-derived xenografts (PDX) model. This effect was based on CAd<i>Trio</i>-derived transgene support that shifted HER2.CAR-NK gene expression to that resembling an NK memory-like phenotype. Additionally, this allogeneic combination therapy was tolerated in humanized mice. Together, these data suggest that CAd<i>Trio</i> and HER2.CAR-NK cell combination immunotherapy may be a novel and effective option for the treatment for immunologically \"cold\" PDAC tumors.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"201006"},"PeriodicalIF":0.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144370036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Molecular therapy. OncologyPub Date : 2025-05-26eCollection Date: 2025-06-18DOI: 10.1016/j.omton.2025.201003
Sajida Fady Qaddoura, Enze Liu, Brian A Walker, Ngoc Tung Tran
{"title":"Emerging roles of protein arginine methyltransferase in multiple myeloma.","authors":"Sajida Fady Qaddoura, Enze Liu, Brian A Walker, Ngoc Tung Tran","doi":"10.1016/j.omton.2025.201003","DOIUrl":"10.1016/j.omton.2025.201003","url":null,"abstract":"<p><p>Multiple myeloma (MM) is a cancer of plasma cells characterized by the clonal expansion of abnormal plasma cells in the bone marrow. These malignant cells overcrowd the bone marrow, disrupt normal hematopoiesis, and produce excessive amounts of immunoglobulins, leading to severe clinical manifestations. Despite significant advancements in treatment, relapsed/refractory MM remains incurable. Protein arginine methylation, catalyzed by protein arginine methyltransferases (PRMTs), is a critical post-translational modification involved in regulating various cellular processes. Aberrant expression of PRMTs has been strongly linked to poor prognosis in many cancers, including MM. Among the PRMT family, PRMT1, PRMT4 (CARM1), and PRMT5 have emerged as potential therapeutic targets for MM. This review will first explore the expression patterns of PRMTs in MM and assess their association with disease prognosis. We will then provide a comprehensive overview of the functions of these PRMTs in MM pathology, discuss the development of PRMT inhibitors currently being evaluated in clinical trials, and offer insights into the potential of targeting PRMTs for MM treatment in clinical settings.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"201003"},"PeriodicalIF":0.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12169775/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144311154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tumor-specific AAV delivery of interleukin-12 enhances antitumor immunity and safety in ovarian cancer xenograft mouse model.","authors":"Chuyuan Chen, Yongji Jiang, Chuan Feng, Qingyun Zhou, Xingrong Luo, Lili Cai, Lei Zhao","doi":"10.1016/j.omton.2025.201002","DOIUrl":"10.1016/j.omton.2025.201002","url":null,"abstract":"<p><p>Interleukin-12 (IL-12) is a promising pro-inflammatory cytokine for cancer immunotherapy, but its toxicity and short half-life in serum limit its clinical application. Tumor-targeted delivery of IL-12 by fusion with either antibody or secretion by chimeric antigen receptor T (CAR-T) cells showed reduced systematic toxicity; however, the poor tumor microenvironment (TME) response or the lack of systematic IL-12 regulation still remains risk of low efficacy or high toxicity. Here, we developed TME-specific delivery of IL-12 by a tumor-targeted adeno-associated virus 9 (tAAV9). The tAAV9 was formed by an anti-folate receptor 1 (anti-FOLR1) antibody fragment conjugated with AAV9 via highly efficient Spy-ligation. With targeted infection of FOLR1+ cells <i>in vivo</i>, intravenous (i.v.) administration of tAAV9 specifically delivered IL-12 (tAAV9-IL-12) to TME and significantly suppressed tumor progression with favorable safety profile compared with rAAV9 (recombinant wild-type AAV9) delivery. Moreover, the IL-12 level in the serum was decreased significantly with the suppression of tAAV9-IL-12-infected tumor cell, so that generates promising negative feedback to ensure the safety profile.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"201002"},"PeriodicalIF":0.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12171817/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Molecular therapy. OncologyPub Date : 2025-05-24eCollection Date: 2025-06-18DOI: 10.1016/j.omton.2025.201001
Morgann Madill, Arpit Aggarwal, Anant Madabhushi, Britt K Erickson, Andrew C Nelson, Emil Lou, Martina Bazzaro
{"title":"Quantitative and qualitative metrics of tumor stroma in predicting ovarian cancer outcomes and expansion of its study with AI-based tools.","authors":"Morgann Madill, Arpit Aggarwal, Anant Madabhushi, Britt K Erickson, Andrew C Nelson, Emil Lou, Martina Bazzaro","doi":"10.1016/j.omton.2025.201001","DOIUrl":"10.1016/j.omton.2025.201001","url":null,"abstract":"<p><p>Epithelial ovarian cancer remains one of the deadliest gynecologic malignancies, with late-stage diagnosis, high recurrence rates, and resistance to platinum-based chemotherapy contributing to poor survival outcomes. Central to the effective management of ovarian cancer is the thorough evaluation of diagnostic and prognostic indicators. Critical determinants encompass the extent of the tumor; its stage and grade; and level of the circulating biomarker, CA-125. Additional tumor cell-centric factors such as BRCA1/2 mutation status, homologous recombination deficiency, and folate receptor-alpha (FRα) protein levels inform initial treatment and maintenance strategies. Unfortunately, these markers alone cannot fully predict outcomes or significantly improve survival rates. This review emphasizes the body of data suggesting that both quantitative and qualitative metrics of tumor stroma play a crucial role in the prognosis and outcomes of epithelial ovarian cancer. We examine quantitative and qualitative metrics such as stromal proportion, tumor density, stiffness, and texture. We explore how artificial intelligence (AI) tools advance the measurement of these parameters, offering unprecedented opportunities to integrate stromal biomarkers into clinical decision-making. By synthesizing emerging evidence, we propose a framework for leveraging stromal properties-individually and in combination-as novel prognostic indicators to improve outcomes for patients with ovarian cancer.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"201001"},"PeriodicalIF":0.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12169772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144311157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Molecular therapy. OncologyPub Date : 2025-05-20eCollection Date: 2025-06-18DOI: 10.1016/j.omton.2025.200997
Go Kagiya, Ryohei Ogawa, Toshihide Matsumoto, Fuminori Hyodo, Nanako Abe, Ami Yuzawa, Haru Takeuchi, Miki Aoyagi, Ayaka Sato, Kei Yamashita, Masanori Hatashita
{"title":"Real-time imaging reveals radiation-induced intratumor apoptosis via nutrient and oxygen deprivation following vascular damage.","authors":"Go Kagiya, Ryohei Ogawa, Toshihide Matsumoto, Fuminori Hyodo, Nanako Abe, Ami Yuzawa, Haru Takeuchi, Miki Aoyagi, Ayaka Sato, Kei Yamashita, Masanori Hatashita","doi":"10.1016/j.omton.2025.200997","DOIUrl":"10.1016/j.omton.2025.200997","url":null,"abstract":"<p><p>Radiotherapy exerts significant effects on the tumor microenvironment. Radiation is known to induce direct tumor cell death through intrinsic factors (e.g., DNA repair activity and p53-mediated radiation sensitivity). It also induces indirect cell death by altering the tumor microenvironment. However, current knowledge is based on indirect evidence. We focused on apoptosis, a form of cell death, to elucidate the mechanisms underlying radiation-induced apoptosis in tumors. Using apoptosis-imaging cells and real-time imaging technology, we investigated the pathways involved in radiation-induced apoptosis in the tumor environment and found that the mechanism triggering early apoptosis following X-ray exposure involves minimal participation of the immune system. Furthermore, we demonstrated that apoptosis in tumors is an indirect form of cell death as well, primarily driven by radiation-induced damage to the tumor vasculature, which leads to reduced blood flow, resulting in nutrient and oxygen deprivation within cancerous tissue, which induces apoptosis. The presence of nutrient deprivation and hypoxia, mediated by tumor vascular damage, suggests the possibility of inducing not only apoptosis but also other forms of cell death (e.g., autophagic cell death and necrosis-like cell death) based on these mechanisms. These pathways provide valuable insights for the development of more effective radiotherapy strategies.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"200997"},"PeriodicalIF":0.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12166797/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144304306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of dynamic network biomarker <i>ITGB1</i> for erlotinib pre-resistance using single-cell differential covariance entropy.","authors":"Xuerong Gu, Qiwen Huang, Yucheng Huang, Dandan Ding, Jiayuan Zhong, Shengming Lin, Yingxin Yu, Hui Wang, Chang Liu, Pei Chen, Chunbo Chen, Wei Luo, Haiyu Zhou, Rui Liu, Fei Ling","doi":"10.1016/j.omton.2025.200993","DOIUrl":"10.1016/j.omton.2025.200993","url":null,"abstract":"<p><p>Acquired erlotinib resistance is the primary cause of treatment failure in patients with non-small cell lung cancer (NSCLC). Most current research focuses on end-stage resistance, whereas early events leading to resistance have been largely overlooked. In this study, we developed a novel dynamic network biomarker (DNB) method called single-cell differential covariance entropy (scDCE) to identify the pre-resistance state and associated DNB genes. We identified the DNB core gene <i>ITGB1</i> using protein-protein interactions (PPIs) and Mendelian randomization (MR) analyses. Cell Counting Kit-8 assay demonstrated that <i>ITGB1</i> downregulation increases the sensitivity of PC9 cells to erlotinib. Survival analyses suggested that high <i>ITGB1</i> expression was associated with poor prognosis in NSCLC. Mechanistically, we found that <i>ITGB1</i> and DNB-neighboring genes were significantly enriched in the focal adhesion pathway, where <i>ITGB1</i> upregulates the expression of <i>PTK2</i> (focal adhesion kinase), leading to phosphorylation of downstream effectors, which activated the PI3K-Akt and MAPK signaling pathways to promote cell proliferation and mediate erlotinib resistance. Additionally, the transcription factor <i>MAX</i>/<i>MNT</i> binds to the <i>ITGB1</i> promoter, synergistically regulating its expression. The experiment also shows that the erlotinib-trametinib combination therapy effectively inhibits resistance. These findings provide new clues for future research on erlotinib resistance mechanisms and early intervention.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"33 2","pages":"200993"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144370035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}