REZA YADOLLAHVANDMIANDOAB^1,#, MEHRSA JALALIZADEH^1,#, FRANCIELE APARECIDA VECHIA DIONATO¹, KEINI BUOSI¹, PATRÍCIA A. F. LEME¹, LUCIANA S. B. DAL COL¹, CRISTIANE F. GIACOMELLI¹, ALEX DIAS ASSIS¹, NASIM BASHIRICHELKASARI¹, LEONARDO OLIVEIRA REIS^1,2,*

Oncology Research, Vol.32, No.4, pp. 597-605, 2024, DOI:10.32604/or.2024.045442

Abstract Bladder cancer (BC) is the 10th most common cancer worldwide, with about 0.5 million reported new cases and about 0.2 million deaths per year. In this scoping review, we summarize the current evidence regarding the clinical implications of single-cell sequencing for bladder cancer based on PRISMA guidelines. We searched PubMed, CENTRAL, Embase, and supplemented with manual searches through the Scopus, and Web of Science for published studies until February 2023. We included original studies that used at least one single-cell technology to study bladder cancer. Forty-one publications were included in the review. Twenty-nine studies showed that this technology can identify… More > Graphic Abstract

XUEFENG WANG^1,#, SICONG JIANG^2,#, XINHONG ZHOU³, XIAOFENG WANG⁴, LAN LI⁵, JIANJUN TANG^1,*

Oncology Research, Vol.31, No.5, pp. 697-714, 2023, DOI:10.32604/or.2023.029458

Abstract Background: Pancreatic cancer is associated with high mortality and is one of the most aggressive of malignancies, but studies have not fully evaluated its molecular subtypes, prognosis and response to immunotherapy of different subtypes. The purpose of this study was to explore the molecular subtypes and the key genes associated with the prognosis of pancreas cancer patients and study the clinical phenotype, prognosis and response to immunotherapy using single-cell seq data and bulk RNA seq data, and data retrieved from GEO and TCGA databases. Methods: Single-cell seq data and bioinformatics methods were used in this study. Pancreatic cancer data were… More >

WUYAO LIU, CHANGBAO QU, XIAOLU WANG^*

Oncology Research, Vol.31, No.4, pp. 543-567, 2023, DOI:10.32604/or.2023.029563

Abstract The high immune infiltration and heterogeneity of the microenvironment in clear cell renal cell carcinoma (ccRCC) result in the variability of prognosis and clinical response. While PANoptosis has strong immunogenicity and is worthy of further study. In this study, data from The Cancer Genome Atlas database was used to obtain immune-related PANoptosis lncRNAs with prognostic value. Subsequently, the role of these lncRNAs in cancer immunity, progression and the therapeutic response was analyzed, and a new prediction model was constructed. Additionally, we further explored the biological value of PANoptosis-related lncRNAs using single-cell data from the Gene Expression Omnibus database. PANoptosis-associated lncRNAs… More >

YIFAN XU^1,#, DONGMEI CHENG^1,#, LEI HU¹, XIN DONG², LIYING LV², CHEN ZHANG², JIAN ZHOU^1,3,4,*

BIOCELL, Vol.47, No.4, pp. 825-836, 2023, DOI:10.32604/biocell.2023.026122

Abstract The Wnt/β-catenin signaling pathway is the main target of tooth regeneration regulation. Treatment of cells with AZD2858 stimulates the Wnt/β-catenin signaling pathway, yet the function of this pathway in tooth regeneration remains unclear. Here, we found that AZD2858 promotes the accumulation of β-catenin in the nuclei of stem cells from the apical papilla (SCAPs) and enhances cell proliferation. Single-cell sequencing was performed on SCAPs treated with AZD2858. Eight clusters were identified, namely SCAPs-CNTNAP2, SCAPs-DTL, SCAPs-MYH11, SCAPs-MKI67, SCAPs-CXCL8, SCAPs-TPM2, SCAPs-IFIT2 and SCAPs-NEK10. The pseudo-time trajectory analysis showed that AZD2858 enhanced the evolution of SCAPs from SCAPs-TMP2 clusters to SCAPs-MYH11, SCAPs-CNTNAPs and… More >

YUKI MATSUSHITA, WANIDA ONO, NORIAKI ONO^*

BIOCELL, Vol.46, No.5, pp. 1157-1162, 2022, DOI:10.32604/biocell.2022.018960

Abstract Single-cell sequencing technologies have rapidly progressed in recent years, and been applied to characterize stem cells in a number of organs. Somatic (postnatal) stem cells are generally identified using combinations of cell surface markers and transcription factors. However, it has been challenging to define micro-heterogeneity within “stem cell” populations, each of which stands at a different level of differentiation. As stem cells become defined at a single-cell level, their differentiation path becomes clearly defined. Here, this viewpoint discusses the potential synergy of single-cell sequencing analyses with in vivo lineage-tracing approaches, with an emphasis on practical considerations in stem cell biology. More >