Rachamala, Hari Krishnareddy

Background/Objectives: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, characterized by aggressive tumor biology, poor vascularization, dense stromal barriers, and profound resistance to chemotherapy. GAIP-interacting protein C-terminus 1 (GIPC1), a PDZ-domain-containing adaptor protein, is highly overexpressed in PDAC and plays a critical role in tumor progression and chemoresistance. This study aimed to develop and evaluate a novel tumor-targeted liposomal siRNA delivery system (LGIPCsi) to silence GIPC1 and enhance the therapeutic efficacy of gemcitabine (GEM) in PDAC; Methods: LGIPCsi nanoparticles were synthesized and optimized for physicochemical stability, siRNA complexation efficiency, and tumor-targeting capability. Their therapeutic efficacy was assessed using in vitro pancreatic cancer cell models and in vivo orthotopic and patient-derived xenograft (PDX) models of PDAC. Biodistribution, tumor uptake, and antitumor efficacy were evaluated following systemic administration. Combination studies were performed to assess the synergistic effects of LGIPCsi and GEM; Results: GIPC1 silencing significantly sensitized pancreatic cancer cells to GEM, resulting in enhanced inhibition of tumor cell proliferation in vitro. In vivo, systemic administration of LGIPCsi achieved efficient intratumoral delivery of siGIPC1, leading to marked tumor growth suppression. Combination therapy with GEM and LGIPCsi produced synergistic antitumor effects, with substantial tumor regression compared to monotherapy groups. Importantly, no significant systemic toxicity was observed in treated animals; Conclusions: This study identifies GIPC1 as a promising therapeutic target in PDAC and demonstrates that tumor-targeted siRNA nanomedicine can effectively overcome chemoresistance when combined with standard chemotherapy. The LGIPCsi platform offers a rational and translational strategy to enhance treatment efficacy in PDAC through targeted RNAi-based combination therapy.

Importance The prognosis of advanced pancreaticobiliary tumors is poor. Next-generation sequencing (NGS) of tissue samples is utilized to identify actionable alterations, but there are occasional limitations due to inadequate tissue acquisition. Circulating tumor DNA (ctDNA) is an alternative method, but its correlation with tissue-based NGS remains unexplored. Objectives To assess the mutation concordance (mCR) rates between ctDNA and tissue testing for patients with pancreatic ductal adenocarcinoma (PDAC) and cholangiocarcinoma (CC) and to evaluate how ctDNA performs as a treatment response biomarker. Design, Setting, and Participants This retrospective cohort study was conducted among patients with PDAC and CC treated at academic institutions from January 2014 to January 2025. Patients underwent ctDNA testing using 1 platform and tissue NGS testing using 2 platforms. Main Outcomes and Measures mCR, which measures the shared gene alterations observed by both ctDNA and tissue-based NGS testing, was calculated using the Spearman correlation for PDAC and CC. The performance of ctDNA as a treatment response biomarker was assessed by comparing serial ctDNA data with restaging scans and cancer antigen 19-9 levels in patients with PDAC. Results Our cohort included 790 patients: 570 with advanced PDAC (265 [46.5%] female; median [IQR] age, 64 [33-84] years) and 220 with advanced CC (95 [43.2%] female; median [IQR] age, 66 [42-88] years). Overall, 461 patients with PDAC (80.9%) and 192 patients with CC (87.2%) underwent ctDNA testing, while 239 patients with PDAC (41.9%) and 70 patients with CC (31.8%) had tissue NGS testing. Among patients with PDAC, 85 of 130 patients (65.4%) showed shared specific gene alterations between ctDNA and tissue testing; there was a significant mCR, with a Spearman correlation of 0.47 (95% CI, 0.28-0.62; P < .001). For patients with CC, 32 of 48 (66.7%) had shared alterations between ctDNA and tissue testing; there was a significant mCR, with a Spearman correlation of 0.56 (95% CI, 0.35-0.70; P < .001). A subgroup analysis of patients with PDAC who underwent serial ctDNA testing suggested that new TP53 subclones and increased ctDNA variant allele frequency levels of TP53 and KRAS were associated with higher odds of progressive disease (eg, increased TP53 frequency: odds ratio, 7.28; 95% CI, 2.15-24.66; P = .001). Conclusions and Relevance In this cohort study of patients with pancreaticobiliary tumors, there was a significant mCR between ctDNA and tissue NGS testing. Additionally, results suggest that ctDNA might detect resistant clones and enable assessment of treatment response.

Neuropilin-1 (NRP1), initially identified as a neuronal guidance protein, has emerged as a multifaceted regulator in cancer biology. Beyond its role in axonal guidance and angiogenesis, NRP1 is increasingly recognized for its significant impact on tumor progression and therapeutic outcomes. This review explores the diverse functions of NRP1 in cancer, encompassing its influence on tumor cell proliferation, migration, invasion, and metastasis. NRP1 interacts with several key signaling pathways, including vascular endothelial growth factor (VEGF), semaphorins, and transforming growth factor-beta (TGF-β), modulating the tumor microenvironment and promoting angiogenesis. Moreover, NRP1 expression correlates with poor prognosis in various malignancies, underscoring its potential as a prognostic biomarker. Therapeutically, targeting NRP1 holds promise as a novel strategy to inhibit tumor growth and enhance the efficacy of regular treatments such as chemotherapy and radiotherapy. Strategies involving NRP1-targeted therapies, including monoclonal antibodies, small molecule inhibitors, and gene silencing techniques, are being actively investigated in preclinical and clinical settings. Despite challenges in specificity and delivery, advances in understanding NRP1 biology offer new avenues for personalized cancer therapy. Although several types of cancer cells can express NRPs, the role of NRPs in tumor pathogenesis is largely unknown. Future investigations are needed to enhance our understanding of the effects and mechanisms of NRPs on the proliferation, apoptosis, and migration of neuronal, endothelial, and cancer cells. The novel frameworks or multi-omics approaches integrate data from multiple databases to better understand cancer’s molecular and clinical features, develop personalized therapies, and help identify biomarkers. This review highlights the pivotal role of NRP1 in cancer pathogenesis and discusses its implications for developing targeted therapeutic approaches to improve patient outcomes, highlighting the role of OMICS in targeting cancer patients for personalized therapy.

Abstract The microbiome refers to the diverse community of microorganisms, including bacteria, viruses, fungi, and other microbes, that inhabit various parts of the human body, such as the skin, mouth, gut, and other mucosal surfaces. The role of the microbiome in cancer is a complex and evolving area of research. While much is still being learned, there is evidence suggesting that the microbiome can influence cancer development and progression in several ways. Some bacteria within the microbiome can produce substances that may be either carcinogenic or protective against cancer. For instance, the conversion of certain dietary components by gut bacteria can produce metabolites that may either promote or inhibit cancer development. Different cancers may be associated with specific alterations in the microbiome, for example, the gut microbiome has been extensively studied in relation to colorectal cancer, with certain bacterial species potentially contributing to the development of this cancer. However, the role of microbiome in Pancreatic cancer is still not extensively studied, henceforth, we did a preliminary study to identify novel bacterial communities around pancreatic cancer microbiome by 16SrDNA sequencing in human pancreatic cancer xenograft model mice. Isolating total genomic DNA from the pancreatic model mice feces, 16SrDNA PCR was done using specific primers and the amplicon obtained as PCR product was confirmed by standard DNA gel electrophoresis with a 1 kb standard ladder to be 1.5kb in size universal for all bacterial 16SrDNA. The amplicon was then sent for Next Generation Sequencing at Zymo Research Corporation (CA). The resultant DNA sequences were analyzed by bioinformatics studies and their phylogeny identified by comparing with 16SrDNA data base. Differential abundance of the bacteria’s of the genera Lachnoclostridium, Robinsoniella, Alistipes, Akkermansia and Lactobacillus were observed analyzing the data along with other bacterial communities. We are currently continuing the project to identify more bacterial communities of significance in the pancreatic cancer microbiome and investigating the role and significance of these bacterial communities in pancreatic cancer tumor microenvironment. Acknowledgement This study was done by a joint collaboration between scientists and students of Elizabeth City State University (ECSU) campus of the University of North Carolina Systems and Mayo Clinic, Jacksonville. This research is supported by the NIH-NIGMS grant#T34GM100831-10 to Dr. H. Banerjee and a University of North Carolina General Administration Grant to Dr. Colby Hunter at ECSU. Citation Format: Hirendra N. Banerjee, Colby Hunter, Narendra Banerjee, Karrington Perry, Khadimou Dia, Anasua Banerjee, Santanu Bhattacharya, Hari Krishnareddy Rachamala, Enfang Wang, Shamit Dutta. An investigation to identify the phylogeny of bacterial communities in the pancreatic cancer microbiome by 16SrDNA sequencing and bioinformatic analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2795.