Oncology Research Editorial Office

Oncology Research, Vol.32, No.10, pp. 1691-1692, 2024, DOI:10.32604/or.2024.056908 - 18 September 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.10, pp. 1683-1684, 2024, DOI:10.32604/or.2024.056899 - 18 September 2024

Abstract This article has no abstract. More >

SUBHAYAN SUR^1,*, DIMPLE DAVRAY², SOUMYA BASU¹, SUPRIYA KHEUR³, JAYANTA KUMAR PAL¹, SHUCHI NAGAR², AVINASH SANAP³, BHIMAPPA M. RUDAGI³, SAMIR GUPTA⁴

Oncology Research, Vol.32, No.10, pp. 1589-1612, 2024, DOI:10.32604/or.2024.052120 - 18 September 2024

Abstract Oral squamous cell carcinoma (OSCC) is one of the most prevalent forms of head and neck squamous cell carcinomas (HNSCC) with a poor overall survival rate (about 50%), particularly in cases of metastasis. RNA-based cancer biomarkers are a relatively advanced concept, and non-coding RNAs currently have shown promising roles in the detection and treatment of various malignancies. This review underlines the function of long non-coding RNAs (lncRNAs) in the OSCC and its subsequent clinical implications. LncRNAs, a class of non-coding RNAs, are larger than 200 nucleotides and resemble mRNA in numerous ways. However, unlike mRNA,… More >

Qian Liu^1,#, Hui Zhang^1,#, Juan Gao², Meiping Sha¹, Lijun Shen¹, Xianfeng Cheng^3,*, Hao Chen^4,*

Psycho-Oncologie, Vol.18, No.3, pp. 213-221, 2024, DOI:10.32604/po.2024.052607 - 12 September 2024

Abstract Background: Keratinocyte carcinoma (KC) is a common malignancy characterized by a high recurrence rate and considerable psychological distress. The incidence of KC is increasing in China, raising concerns about its psychological consequences and adverse effects on quality of life. Demographic and clinical factors are thought to influence mental health outcomes in these patients. Nonetheless, data on the prevalence of anxiety in Chinese patients with KC and the factors associated with this anxiety are notably lacking. Therefore, a comprehensive investigation into the anxiety of patients with KC is imperative. Objective: This study aimed to investigate the… More >

Kwang-Cheol Rim¹, Young-Min Yoon², Sung-Uk Kim³, Jeong-In Kim^4,*

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3903-3916, 2024, DOI:10.32604/cmc.2024.054620 - 12 September 2024

Abstract The identification and mitigation of anomaly data, characterized by deviations from normal patterns or singularities, stand as critical endeavors in modern technological landscapes, spanning domains such as Non-Fungible Tokens (NFTs), cyber-security, and the burgeoning metaverse. This paper presents a novel proposal aimed at refining anomaly detection methodologies, with a particular focus on continuous data streams. The essence of the proposed approach lies in analyzing the rate of change within such data streams, leveraging this dynamic aspect to discern anomalies with heightened precision and efficacy. Through empirical evaluation, our method demonstrates a marked improvement over existing More >

Zhanyang Xu^*, Zhe Wang, Jian Xu, Hongyan Shi, Hong Zhao

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3991-4015, 2024, DOI:10.32604/cmc.2024.051620 - 12 September 2024

Abstract System logs, serving as a pivotal data source for performance monitoring and anomaly detection, play an indispensable role in assuring service stability and reliability. Despite this, the majority of existing log-based anomaly detection methodologies predominantly depend on the sequence or quantity attributes of logs, utilizing solely a single Recurrent Neural Network (RNN) and its variant sequence models for detection. These approaches have not thoroughly exploited the semantic information embedded in logs, exhibit limited adaptability to novel logs, and a single model struggles to fully unearth the potential features within the log sequence. Addressing these challenges,… More >

LINPEI WANG^1,2, JIAWEI WANG², CHUNFENG SHI², WEI WANG^2,*, JIAN WU^1,*

BIOCELL, Vol.48, No.9, pp. 1299-1310, 2024, DOI:10.32604/biocell.2024.051756 - 04 September 2024

Abstract Background: Alpha/beta hydrolase domain-containing protein 17C (ABHD17C) is a depalmitoylation enzyme that removes the S-palmitoylation of targeted proteins. The hepatocellular carcinoma (HCC) cells SNU449 and Hep3B use ABHD17C as an oncogene; however, the exact mechanism of this action is yet unknown. Methods: The expression of ABHD17C in liver cancer tissues was analyzed by bioinformatics, and the expression of ABHD17C in clinical liver cancer tissues and adjacent normal tissues was detected. Then, the proliferative viability of HCC cells after overexpression or knockdown of ABHD17C was examined, and pyroptosis and apoptosis proteins were detected. Results: ABHD17C was overexpressed in More >

WEIGANG REN^1,#, JING LI^2,#, RUIJIANG ZENG^3,4, LIANG ZHU^3,4,*

BIOCELL, Vol.48, No.9, pp. 1323-1330, 2024, DOI:10.32604/biocell.2024.051747 - 04 September 2024

Abstract Background: Clear cell renal cell carcinoma (ccRCC) stands as the most prevalent form of kidney cancer, accounting for a significant proportion of malignancies affecting the kidneys. ccRCC is well known as a type of tumour with immunogenicity. Immune checkpoint inhibitors (ICIs) aim to enhance the anticancer immune response in ccRCC by blocking programmed cell death 1 ligand 1/programmed death 1 (PD-L1/PD-1) pathways. In a previous study, we showed that RING finger protein 26 (RNF26) degrades chromobox 7 (CBX7) to activate the tumor necrosis factor (TNF) in ccRCC. Methods: We analyzed The Cancer Genome Atlas (TCGA)… More > Graphic Abstract

Haibo Wang¹, Hongwei Gao^1,*, Pai Jiang¹, Matthieu De Mari², Panzer Gu³, Yinsheng Liu¹

Journal on Internet of Things, Vol.6, pp. 17-41, 2024, DOI:10.32604/jiot.2024.054791 - 26 August 2024

Abstract In the 6G Internet of Things (IoT) paradigm, unprecedented challenges will be raised to provide massive connectivity, ultra-low latency, and energy efficiency for ultra-dense IoT devices. To address these challenges, we explore the non-orthogonal multiple access (NOMA) based grant-free random access (GFRA) schemes in the cellular uplink to support massive IoT devices with high spectrum efficiency and low access latency. In particular, we focus on optimizing the backoff strategy of each device when transmitting time-sensitive data samples to a multiple-input multiple-output (MIMO)-enabled base station subject to energy constraints. To cope with the dynamic varied channel… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.9, pp. 1533-1533, 2024, DOI:10.32604/or.2024.056123 - 23 August 2024

Abstract This article has no abstract. More >