Luda Chen¹, Kuangzhu Bao², Ying Chen², Jingang Hao^2,*, Jianfeng He^1,3,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 409-427, 2024, DOI:10.32604/cmc.2024.048507

Abstract Pancreatic diseases, including mass-forming chronic pancreatitis (MFCP) and pancreatic ductal adenocarcinoma (PDAC), present with similar imaging features, leading to diagnostic complexities. Deep Learning (DL) methods have been shown to perform well on diagnostic tasks. Existing DL pancreatic lesion diagnosis studies based on Magnetic Resonance Imaging (MRI) utilize the prior information to guide models to focus on the lesion region. However, over-reliance on prior information may ignore the background information that is helpful for diagnosis. This study verifies the diagnostic significance of the background information using a clinical dataset. Consequently, the Prior Difference Guidance Network (PDGNet) is proposed, merging decoupled lesion… More >

LIJUAN ZHANG^1,#, QINGYIN MENG^2,#, LI ZHUANG¹, QUAN GONG¹, XIANDA HUANG³, XUEQIN LI¹, SHIJUAN LI¹, GUOQIN WANG⁴, XICAI WANG^5,*

BIOCELL, Vol.48, No.4, pp. 581-590, 2024, DOI:10.32604/biocell.2024.047260

Abstract Background: Lung adenocarcinoma is a very pervasive histological form of lung cancers, and inhibiting metastasis is crucial for effective treatment. In this investigation, we explored the functional interaction of miR-30a-5p and the putative transcription factor 2 of the homeodomain (PHTF2) in dictating the aggressiveness and metastasis of lung adenocarcinoma. Method: We collected clinical samples to evaluate the expression patterns of miR-30a-5p and PHTF2 in lung adenocarcinoma along with normal tissues. Cellular experiments including cell count kit (CCK)-8 growth assay, apoptosis analysis, migration and invasion examinations were performed to assess the aggressiveness of lung adenocarcinoma cells. Furthermore, we examined tumorigenesis and… More > Graphic Abstract

LEI LIU¹, NA GUO¹, XIANGLING LI², QIAN XU², RUILONG HE³, LIMIN CHENG⁴, CHUNYAN DANG³, XINYU BAI³, YIYING BAI³, XIN WANG³, QIANHUI CHEN³, LI ZHANG^3,*

Oncology Research, Vol.32, No.4, pp. 643-658, 2024, DOI:10.32604/or.2023.044491

Abstract The platinum-based chemotherapy is one of the most frequently used treatment protocols for lung adenocarcinoma (LUAD), and chemoresistance, however, usually results in treatment failure and limits its application in the clinic. It has been shown that microRNAs (miRNAs) play a significant role in tumor chemoresistance. In this study, miR-125b was identified as a specific cisplatin (DDP)-resistant gene in LUAD, as indicated by the bioinformatics analysis and the real-time quantitative PCR assay. The decreased serum level of miR-125b in LUAD patients was correlated with the poor treatment response rate and short survival time. MiR-125b decreased the A549/DDP proliferation, and the multiple… More >

HYUNG SUN KIM^1,#, YUN SUN LEE^2,#, SEUNG MYUNG DONG³, HYO JUNG KIM¹, DA EUN LEE², HYEON WOONG KANG², MYEONG JIN KIM², JOON SEONG PARK^1,*

Oncology Research, Vol.32, No.4, pp. 615-624, 2024, DOI:10.32604/or.2024.044029

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive solid malignancies. A specific mechanism of its metastasis has not been established. In this study, we investigated whether Neural Wiskott-Aldrich syndrome protein (N-WASP) plays a role in distant metastasis of PDAC. We found that N-WASP is markedly expressed in clinical patients with PDAC. Clinical analysis showed a notably more distant metastatic pattern in the N-WASP-high group compared to the N-WASP-low group. N-WASP was noted to be a novel mediator of epithelial-mesenchymal transition (EMT) via gene expression profile studies. Knockdown of N-WASP in pancreatic cancer cells significantly inhibited cell invasion, migration,… More > Graphic Abstract

HONGMIN CAO^1,#,*, YING XUE^2,#, FEI WANG¹, GUANGYAO LI¹, YULAN ZHEN¹, JINGWEN GUO¹

BIOCELL, Vol.48, No.3, pp. 473-490, 2024, DOI:10.32604/biocell.2024.048946

Abstract Background: Cytotoxic T lymphocytes (CD8+ T) cells function critically in mediating anti-tumor immune response in cancer patients. Characterizing the specific functions of CD8+ T cells in lung adenocarcinoma (LUAD) could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy. Methods: Gens related to CD8+ T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues. Weighted gene co-expression network analysis (WGCNA), consensus clustering, differential expression analysis, least absolute shrinkage and selection operator (LASSO) and Cox regression analysis were conducted to classify molecular subtypes for LUAD… More > Graphic Abstract

FRANCESCO PETRELLA^*, ENRICO MARIO CASSINA, LIDIA LIBRETTI, EMANUELE PIRONDINI, FEDERICO RAVEGLIA, ANTONIO TUORO

Oncology Research, Vol.32, No.3, pp. 433-437, 2024, DOI:10.32604/or.2023.046497

Abstract The main aim of antineoplastic treatment is to maximize patient benefit by augmenting the drug accumulation within affected organs and tissues, thus incrementing drug effects and, at the same time, reducing the damage of non-involved tissues to cytotoxic agents. Mesenchymal stromal cells (MSC) represent a group of undifferentiated multipotent cells presenting wide self-renewal features and the capacity to differentiate into an assortment of mesenchymal family cells. During the last year, they have been proposed as natural carriers for the selective release of antitumor drugs to malignant cells, thus optimizing cytotoxic action on cancer cells, while significantly reducing adverse side effects… More >

YUANYUAN XU, XIAOKE CHEN^*

Oncology Research, Vol.32, No.3, pp. 517-528, 2024, DOI:10.32604/or.2023.030293

Abstract Background: The aberrant intracellular expression of a mitochondrial aspartyl-tRNA synthetase 2 (DARS2) has been reported in human cancers. Nevertheless, its critical role and detailed mechanism in lung adenocarcinoma (LUAD) remain unexplored. Methods: Initially, The Cancer Genome Atlas (TCGA)-based Gene Expression Profiling Interactive Analysis (GEPIA) database () was used to analyze the prognostic relevance of DARS2 expression in LUAD. Further, cell counting kit (CCK)-8, immunostaining, and transwell invasion assays in LUAD cell lines in vitro, as well as DARS2 silence on LUAD by tumorigenicity experiments in vivo in nude mice, were performed. Besides, we analyzed the expression levels of p-PI3K (phosphorylated-Phosphotylinosital3… More >

HENG ZHANG^1,#, WENJING CHENG^2,#, HAIBO ZHAO², WEIDONG CHEN², QIUJIE ZHANG^2,*, QING-QING YU^2,*

Oncology Research, Vol.32, No.2, pp. 297-308, 2024, DOI:10.32604/or.2023.043138

Abstract Background: Colorectal cancer (CRC) belongs to the class of significantly malignant tumors found in humans. Recently, dysregulated fatty acid metabolism (FAM) has been a topic of attention due to its modulation in cancer, specifically CRC. However, the regulatory FAM pathways in CRC require comprehensive elucidation. Methods: The clinical and gene expression data of 175 fatty acid metabolic genes (FAMGs) linked with colon adenocarcinoma (COAD) and normal cornerstone genes were gathered through The Cancer Genome Atlas (TCGA)-COAD corroborating with the Molecular Signature Database v7.2 (MSigDB). Initially, crucial prognostic genes were selected by uni- and multi-variate Cox proportional regression analyses; then, depending… More >

KEGANG JIA^1,#, YAWEI WANG^2,#, QI CAO^3,*, YOUYU WANG^1,*

Oncology Research, Vol.32, No.2, pp. 409-419, 2024, DOI:10.32604/or.2023.042863

Abstract Background: Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide. Therapeutic failure in lung cancer (LUAD) is heavily influenced by drug resistance. This challenge stems from the diverse cell populations within the tumor, each having unique genetic, epigenetic, and phenotypic profiles. Such variations lead to varied therapeutic responses, thereby contributing to tumor relapse and disease progression. Methods: The Genomics of Drug Sensitivity in Cancer (GDSC) database was used in this investigation to obtain the mRNA expression dataset, genomic mutation profile, and drug sensitivity information of NSCLS. Machine Learning (ML) methods, including Random Forest… More >

HONGYUAN LIANG^1,#, YANQIU LI^2,#, YONGGANG QU³, LINGYUN ZHANG^4,*

Oncology Research, Vol.32, No.2, pp. 393-407, 2024, DOI:10.32604/or.2023.031134

Abstract Advanced LUAD shows limited response to treatment including immune therapy. With the development of sequencing omics, it is urgent to combine high-throughput multi-omics data to identify new immune checkpoint therapeutic response markers. Using GSE72094 (n = 386) and GSE31210 (n = 226) gene expression profile data in the GEO database, we identified genes associated with lung adenocarcinoma (LUAD) death using tools such as “edgeR” and “maftools” and visualized the characteristics of these genes using the “circlize” R package. We constructed a prognostic model based on death-related genes and optimized the model using LASSO-Cox regression methods. By calculating the cell death… More >