YUTING WANG^1,2,3, PEIWEN FAN^1,2,3, YANING FENG^1,2,3, XUAN YAO⁴, YANCHUN PENG⁴, RUOZHENG WANG^1,2,3,*

BIOCELL, Vol.47, No.6, pp. 1365-1375, 2023, DOI:10.32604/biocell.2023.027201

Abstract Background: This study was designed to investigate the feasibility of tumor-infiltrating immune cells with different phenotypic characteristics for predicting short-term clinical responses in patients with locally advanced cervical cancer (LACC). Methods: Thirty-four patients who received concurrent chemoradiotherapy and twenty-one patients who merely underwent radiotherapy were enrolled in this study. We retrospectively analyzed the T cell markers (i.e., CD3, CD4, CD8), memory markers (i.e., CD45, CCR7), and differentiation markers (i.e., CD27) in the peripheral blood and tumor tissues of patients with LACC before treatment based on flow cytometry. We also analyzed the relationship of T cell subsets between peripheral blood and… More >

QIAN CHEN^1,#, XIN LEI^1,#, GUANHUA HU^1,#, YAN WANG², ZHENGQING FANG¹, GUOQUAN WANG¹, HANG SONG¹, SHU YE^1,*, BIAO CAI^1,*

BIOCELL, Vol.47, No.6, pp. 1265-1277, 2023, DOI:10.32604/biocell.2023.028811

Abstract Background: Huang-Pu-Tong-Qiao formula (HPTQ), a traditional Chinese herbal formula, has a variety of pharmacological effects. It has been used to treat Alzheimer’s disease (AD) for decades. This study aimed to screen differentially expressed proteins in the hippocampus of AD model rats treated with HPTQ. Proteomic studies of the effects of HPTQ on AD are key to understanding the therapeutic mechanisms of HPTQ and identifying potential therapeutic targets. Methods: We hence used the isobaric tags for relative and absolute quantification (ITRAQ) approach to investigate the differentially expressed proteins in the hippocampus of AD model rats before and after HPTQ administration and… More >

HONG YANG^1,2, WAN LI^1,2, LIWEN REN^1,2, YIHUI YANG^1,2, YIZHI ZHANG^1,2, BINBIN GE^1,2, SHA LI^1,2, XIANGJIN ZHENG^1,2, JINYI LIU^1,2, SEN ZHANG^1,2, GUANHUA DU^1,2, BO TANG³, HONGQUAN WANG³, JINHUA WANG^1,2,*

Oncology Research, Vol.31, No.2, pp. 83-99, 2023, DOI:10.32604/or.2023.028905

Abstract Pancreatic cancer is a malignant disease characterized by low survival and high recurrence rate, whose patients are mostly at the stage of locally advanced or metastatic disease when first diagnosed. Early diagnosis is particularly important because prognostic/predictive markers help guide optimal individualized treatment regimens. So far, CA19-9 is the only biomarker for pancreatic cancer approved by the FDA, but its effectiveness is limited by low sensitivity and specificity. With recent advances in genomics, proteomics, metabolomics, and other analytical and sequencing technologies, the rapid acquisition and screening of biomarkers is now possible. Liquid biopsy also occupies a significant place due to… More > Graphic Abstract

GUSTAVO MARTÍN VILLOLDO¹, MARÍA TERESA POMBO², MARIANA ARIS³, JOAQUÍN CHEMI¹, PABLO MANDÓ³, SUPRIYA NAGARAJU⁴, JUAN CAMEAN¹, ADRIÁN BURIONI¹, DEBORAH EGEA¹, MORA AMAT⁵, JOSÉ LEÓN MELLADO³, JOSÉ MORDOH³, ALBERTO VILLARONGA¹, MARÍA MARCELA BARRIO^3,*

Oncology Research, Vol.31, No.2, pp. 207-220, 2023, DOI:10.32604/or.2023.028163

Abstract Intravesical Bacillus Calmette Guerin (BCG) is the gold standard therapy for intermediate/high-risk nonmuscle invasive bladder cancer (NMIBC). However, the response rate is ~60%, and 50% of non-responders will progress to muscle-invasive disease. BCG induces massive local infiltration of inflammatory cells (Th1) and ultimately cytotoxic tumor elimination. We searched for predictive biomarker of BCG response by analyzing tumor-infiltrating lymphocyte (TIL) polarization in the tumor microenvironment (TME) in pre-treatment biopsies. Pre-treatment biopsies from patients with NMIBC who received adequate intravesical instillation of BCG (n = 32) were evaluated retrospectively by immunohistochemistry. TME polarization was assessed by quantifying the T-Bet+ (Th1) and GATA-3+… More > Graphic Abstract

NADIA Z. SHAABAN¹, NASHWA K. IBRAHIM², HELEN N. SAADA², FATMA H. EL-RASHIDY¹, HEBATALLAH M. SHAABAN³, NERMEEN M. ELBAKARY^2,*, AHMAD S. KODOUS^1,2,*

Oncology Research, Vol.30, No.6, pp. 269-276, 2022, DOI:10.32604/or.2022.027277

Abstract Background: MicroRNAs (miRs) are small (19–25 nucleotides), non-protein coding RNAs that regulate gene expression, and thus play essential roles in cell cycle progression. The evidence has demonstrated that the expression of several miRs is dysregulated in human cancer. Methods: The study includes 179 female patients and 58 healthy women Patients were identified as luminal A, B, Her-2/neu, and basal-like, as well as classified into I, II, and III stages. Analysis of the expression fold change of miR-21 and miR-34a with molecular markers, including the oncogene Bcl-2 (B-cell lymphoma 2) and the tumor suppressor genes BRCA1 (breast cancer susceptibility gene 1),… More >

Junwei Cui¹, Minghua Li², Ruifang Pang^2,*, Yinhua Liu^1,*

Oncologie, Vol.24, No.4, pp. 743-768, 2022, DOI:10.32604/oncologie.2022.025419

Abstract Background: Aspirin (ASA) has been reported to have an antitumor effect but the role of ASA in the prevention and treatment of breast cancer (BC) is still controversial. This study aimed to identify clinical effectiveness of ASA in the treatment of BC and explore the antitumor target proteins of ASA that may be involved in overcoming tamoxifen resistance in estrogen receptor (ER)-positive BC cells. Materials and Methods: Randomized controlled trials (RCTs) of ASA in the treatment of BC were queried from the databases, including PubMed, Web of Science, Cochrane Library, WanFang, and Chinese National Knowledge Infrastructure. According to the quality… More >

Xuelian Du^1,#, Hao Shi^2,#, Haiyan Liu¹, Linghua Zhou¹, Anqun Xie¹, Jufang Guo^1,*

Oncologie, Vol.24, No.4, pp. 769-787, 2022, DOI:10.32604/oncologie.2022.026248

Abstract Background: Gestational diabetes mellitus (GDM) affects the health of numerous women around the world. A recent study has shown that GDM is associated with an increased incidence of cancer. In this study, we aimed to explore the possible shared mechanisms and potential common therapeutic targets between GDM and cancer. Methods: The limma package was used to identify differentially expressed genes (DEGs) in GDM. The Cytoscape plugin cytoHubba was used to screen hub genes. The CIBERSORT algorithm was used to explore the correlation between hub genes and immunity. Cox regression analysis was used to assess the relationship between protein tyrosine kinase… More >

Natalia Roque^1,#, Diana Matias^2,#, Joana Balça-Silva³, Valéria Pereira Ferrer⁴, Luciana Santos Pessoa¹, Tania Cristina Leite de Sampaio e Spohr^1,5,*

Oncologie, Vol.24, No.3, pp. 371-411, 2022, DOI:10.32604/oncologie.2022.024035

Abstract Cancer is one of the deadliest diseases with a cure far from being found. Despite the extraordinary advances in the therapy approaches, only a few patients respond to treatments. The tumor microenvironment (TME) plays a crucial role in cancer progression by contributing to the chemoresistance. Thus, emerging efforts are being made in nanotechnology research focusing on nanoparticles’ potential role and their application in immune system modulation. Moreover, the omics have contributed to bioengineering and nanotechnology development by elucidating the mechanisms of cancer and specific biomarkers that could be used as new therapeutic targets. Furthermore, the non-coding microRNA as a target… More >

GIUSEPPINA BONIZZI, LORENZO ZATTONI, NICOLA FUSCO^*

Oncology Research, Vol.29, No.4, pp. 229-233, 2021, DOI:10.32604/or.2022.024892

Abstract Digital Pathology is becoming more and more important to achieve the goal of precision medicine. Advances in whole-slide imaging, software integration, and the accessibility of storage solutions have changed the pathologists’ clinical practice, not only in terms of laboratory workflow but also for diagnosis and biomarkers analysis. In parallel with the pathology setting advancement, translational medicine is approaching the unprecedented opportunities unrevealed by artificial intelligence (AI). Indeed, the increased usage of biobanks’ datasets in research provided new challenges for AI applications, such as advanced algorithms, and computer-aided techniques. In this scenario, machine learning-based approaches are being propose in order to… More >

Andrea Lapucci^*†1, Gabriele Perrone^*†1, Antonello Di Paolo^‡§, Cristina Napoli^*†, Ida Landini^*†, Giandomenico Roviello^*†, Laura Calosi^¶, Antonio Giuseppe Naccarato^#, Alfredo Falcone^#, Daniele Bani^¶, Enrico Mini^*†§2, Stefania Nobili^*†§2,3

Oncology Research, Vol.28, No.6, pp. 631-644, 2020, DOI:10.3727/096504020X16056983169118

Abstract The benefit of adjuvant chemotherapy in the early stages of colorectal cancer (CRC) is still disappointing and the prediction of treatment outcome quite difficult. Recently, through a transcriptomic approach, we evidenced a role of PNN and KCNQ1OT1 gene expression in predicting response to fluoropyrimidine-based adjuvant chemotherapy in stage III CRC patients. Thus, the aim of this study was to validate in an independent cohort of stages II–III CRC patients our previous findings. PNN and KCNQ1OT1 mRNA expression levels were evaluated in 74 formalin-fixed paraffin-embedded tumor and matched normal mucosa samples obtained by stages II–III CRC patients treated with fluoropyrimidine-based adjuvant… More >