WEI DU¹, FANG YIN¹, YATING ZHONG¹, MINJIE LUO¹, ZHEN WANG², PENG LIN², QING LIU^2,*, HAN YANG^2,*

Oncology Research, Vol.31, No.6, pp. 929-936, 2023, DOI:10.32604/or.2023.030611

Abstract Non-small cell lung cancer (NSCLC) is a highly lethal cancer, and better treatments are urgently needed. Many studies have implicated circular RNAs (circRNAs) in the progression of multiple malignant tumors. Nonetheless, the functions of circRNAs in NSCLC remain unclear. To study new targets for the treatment of NSCLC, circRNA expression profiling was performed on NSCLC tissues and para-carcinoma nonmalignant tissues. RNA was isolated and used for circRNA sequencing. Biological studies were performed in vitro and in vivo to determine the functions of circRNAs in NSCLC, including their functions in cell proliferation and migration. How circRNAs function in NSCLC was explored… More > Graphic Abstract

WEI ZHAI^1,2, XIANG ZHENG², MENGYUAN LIU², QIURONG ZHAO², YUSHU ZHANG², YUQING LUO³, SHANSHAN FENG³, JINJING WANG³, XUEYING LI^2,*, MINGSONG WU^1,*

BIOCELL, Vol.47, No.8, pp. 1821-1833, 2023, DOI:10.32604/biocell.2023.027175

Abstract Objective: Endoplasmic reticulum-Golgi intermediate compartment 3 (ERGIC3) promotes cell proliferation and metastasis in lung cancer, but its molecular mechanism is unclear. Methods: The GLC-82 cells were randomly divided into the ERGIC3i group and the negative control group. The cells were transfected with ERGIC3 siRNA or control siRNA in the groups, respectively. The ERGIC3-interacting proteins expressed in cells or extracellularly were isolated by the immunoprecipitation method and detected by isobaric tags for relative and absolute quantitation and liquid chromatography-tandem mass spectrometry. The differentially expressed proteins were determined by bioinformatic methods. Results: After ERGIC3 knockdown, 88 extracellular differentially expressed proteins, 41 up-regulated… More >

Sindhuja Manickavasagam^*, Poonkuzhali Sugumaran

Computer Systems Science and Engineering, Vol.47, No.1, pp. 135-151, 2023, DOI:10.32604/csse.2023.030344

Abstract Cancer disease is a deadliest disease cause more dangerous one. By identifying the disease through Artificial intelligence to getting the mage features directly from patients. This paper presents the lung knob division and disease characterization by proposing an enhancement calculation. Most of the machine learning techniques failed to observe the feature dimensions leads inaccuracy in feature selection and classification. This cause inaccuracy in sensitivity and specificity rate to reduce the identification accuracy. To resolve this problem, to propose a Chicken Sine Cosine Algorithm based Deep Belief Network to identify the disease factor. The general technique of the created approach includes… More >

LU LIU^1,2, BIN XIE^1,2, WEI ZHU^1,2, QIUYAN HE^1,2, JIANHUA ZHOU^1,2, SHUANG LIU³, YONGGUANG TAO⁴, DESHENG XIAO^1,2,*

Oncology Research, Vol.31, No.3, pp. 275-286, 2023, DOI:10.32604/or.2023.028227

Abstract Background: Lung cancer is one of the most lethal cancers worldwide, but studies have shown that the higher the expression of programmed cell death protein 1 ligand 1 (PD-L1) in non-small cell lung cancer (NSCLC), the more likely it will benefit from anti-PD-L1 immunotherapy. The purpose of our study was to collect and analyze abundant clinical samples in order to provide evidence for clinicians and patients who might consider anti-PD-L1 immunotherapy while jointly formulating treatment plans. Methods: On the one hand, we obtained cases from The Cancer Genome Atlas (TCGA) database, including 498 lung squamous cell cancer (LUSC) patients and… More >

YANGYI HE^1,2, DAVID SANCHEZ-LORENTE^3,4,5, MELISSA ACOSTA-PLASENCIA¹, MARC BOADA^3,4,5, ANGELA GUIRAO^3,4,5, RAMON M. MARRADES^4,5,6,7, LAUREANO MOLINS^3,4,5, ALFONS NAVARRO^1,4,5,*

BIOCELL, Vol.47, No.5, pp. 951-957, 2023, DOI:10.32604/biocell.2023.027718

Abstract Tumor-secreted extracellular vesicles (EVs) participate in the metastasis process through different mechanisms, including the preparation of the pre-metastatic niche to grant circulating tumor cells (CTCs) implantation and growth. The study of the metastasis process through the analysis of CTCs and tumor-derived EVs is difficult because of the dilution grade of these elements in peripheral blood. In early-stage lung cancer patients, the tumor-secreted products are even more diluted. An attractive strategy in surgical lung cancer patients is to purify them from a pulmonary tumor-draining vein where they are enriched. The information obtained from the analysis of EVs and CTCs purified from… More >

SANDRA STICKLER¹, BARBARA RATH¹, MAXIMILIAN HOCHMAIR², CLEMENS LANG³, LUKAS WEIGL⁴, GERHARD HAMILTON^1,*

Oncology Research, Vol.31, No.1, pp. 13-22, 2023, DOI:10.32604/or.2022.027281

Abstract Small cell lung cancer (SCLC) is frequently disseminated and has a dismal prognosis with survival times of approximately two years. This cancer responds well to initial chemotherapy but recurs within a short time as a globally chemoresistant tumor. Circulating tumor cells (CTCs) are held responsible for metastasis, the extremely high numbers of these cells in advanced SCLC allowed us to establish several permanent CTC cell lines. These CTCs are distinguished by the spontaneous formation of large spheroids, termed tumorospheres, in regular tissue culture. These contain quiescent and hypoxic cells in their interior and are associated with high chemoresistance compared to… More >

Debnath Bhattacharyya¹, Eali. Stephen Neal Joshua², N. Thirupathi Rao², Yung-cheol Byun^3,*

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1447-1465, 2023, DOI:10.32604/cmc.2023.031878

Abstract Lung cancer is the leading cause of mortality in the world affecting both men and women equally. When a radiologist just focuses on the patient’s body, it increases the amount of strain on the radiologist and the likelihood of missing pathological information such as abnormalities are increased. One of the primary objectives of this research work is to develop computer-assisted diagnosis and detection of lung cancer. It also intends to make it easier for radiologists to identify and diagnose lung cancer accurately. The proposed strategy which was based on a unique image feature, took into consideration the spatial interaction of… More >

DIEGO HERNANDEZ^1,*, CHIH-YUAN CHENG^1,2, KARLA HERNANDEZ-VILLAFUERTE¹, MICHAEL SCHLANDER^1,2

Oncology Research, Vol.30, No.4, pp. 173-185, 2022, DOI:10.32604/or.2022.027262

Abstract Lung cancer is the most common cancer type worldwide and has the highest and second highest mortality rate for men and women respectively in Germany. Yet, the role of comorbid illnesses in lung cancer patient prognosis is still debated. We analyzed administrative claims data from one of the largest statutory health insurance (SHI) funds in Germany, covering close to 9 million people (11% of the national population); observation period was from 2005 to 2019. Lung cancer patients and their concomitant diseases were identified by ICD-10-GM codes. Comorbidities were classified according to the Charlson Comorbidity Index (CCI). Incidence, comorbidity prevalence and… More >

Ahmed A. Alsheikhy^1,*, Yahia F. Said¹, Tawfeeq Shawly²

Computer Systems Science and Engineering, Vol.46, No.1, pp. 799-817, 2023, DOI:10.32604/csse.2023.035269

Abstract Lung cancer is the leading cause of cancer-related death around the globe. The treatment and survival rates among lung cancer patients are significantly impacted by early diagnosis. Most diagnostic techniques can identify and classify only one type of lung cancer. It is crucial to close this gap with a system that detects all lung cancer types. This paper proposes an intelligent decision support system for this purpose. This system aims to support the quick and early detection and classification of all lung cancer types and subtypes to improve treatment and save lives. Its algorithm uses a Convolutional Neural Network (CNN)… More >

SITONG QIAN^1,2,#, YING FANG^1,#, CHENGYUN YAO^1,#, YONGSHENG WANG^3,#, ZHI ZHANG¹, XIAOHUA WANG¹, JIN GAO¹, YONG FENG¹, LEI SUN¹, RUNYUE ZOU², GUOREN ZHOU^1,*, JINJUN YE^1,*, RUIXUE XIA^4,*, HONGPING XIA^5,6,*

Oncology Research, Vol.30, No.2, pp. 53-64, 2022, DOI:10.32604/or.2022.026302

Abstract Previous studies have shown that PRDX5 and Nrf2 are antioxidant proteins related to abnormal reactive oxidative species (ROS). PRDX5 and Nrf2 play a critical role in the progression of inflammations and tumors. The combination of PRDX5 and Nrf2 was examined by Co-immunoprecipitation, western blotting and Immunohistochemistry. H₂O₂ was applied to affect the production of ROS and induced multi-resistant protein 1 (MRP1) expression in NSCLC cells. The zebrafish models mainly investigated the synergistic effects of PRDX5 and Nrf2 on lung cancer drug resistance under oxidative stress. We showed that PRDX5 and Nrf2 form a complex and significantly increase the NSCLC tissues… More >