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Search Results (5)
  • Open Access

    ARTICLE

    A Th2-score in the tumor microenvironment as a predictive biomarker of response to Bacillus Calmette Guérin in patients with non-muscle invasive bladder carcinoma: A retrospective study

    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 BARRIO3,*

    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

    A Th2-score in the tumor microenvironment as a predictive biomarker of response to Bacillus Calmette Guérin in patients with non-muscle invasive bladder carcinoma: A retrospective study

  • Open Access

    ARTICLE

    A developed ant colony algorithm for cancer molecular subtype classification to reveal the predictive biomarker in the renal cell carcinoma

    ZEKUN XIN1,#, YUDAN MA2,#, WEIQIANG SONG3, HAO GAO3, LIJUN DONG3, BAO ZHANG1,*, ZHILONG REN3,*

    BIOCELL, Vol.47, No.3, pp. 555-567, 2023, DOI:10.32604/biocell.2023.026254

    Abstract Background: Recently, researchers have been attracted in identifying the crucial genes related to cancer, which plays important role in cancer diagnosis and treatment. However, in performing the cancer molecular subtype classification task from cancer gene expression data, it is challenging to obtain those significant genes due to the high dimensionality and high noise of data. Moreover, the existing methods always suffer from some issues such as premature convergence. Methods: To address those problems, we propose a new ant colony optimization (ACO) algorithm called DACO to classify the cancer gene expression datasets, identifying the essential genes of different diseases. In DACO,… More >

  • Open Access

    ARTICLE

    PNN and KCNQ1OT1 Can Predict the Efficacy of Adjuvant Fluoropyrimidine-Based Chemotherapy in Colorectal Cancer Patients

    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 >

  • Open Access

    ARTICLE

    A Panel of Tumor Biomarkers to Predict Complete Pathological Response to Neoadjuvant Treatment in Locally Advanced Rectal Cancer

    Chiara Dalle Fratte*, Silvia Mezzalira*, Jerry Polesel, Elena De Mattia*, Antonio Palumbo, Angela Buonadonna§, Elisa Palazzari, Antonino De Paoli, Claudio Belluco#, Vincenzo Canzonieri‡** , Giuseppe Toffoli*, Erika Cecchin*

    Oncology Research, Vol.28, No.9, pp. 847-855, 2020, DOI:10.3727/096504021X16232280278813

    Abstract Pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer patients is related to a favorable prognosis. The identification of early biomarkers predictive of pathological complete response would help optimize the multimodality management of the patients. A panel of 11 tumor-related proteins was investigated by immunohistochemistry in the pretreatment biopsy of a group of locally advanced rectal cancer patients to identify early biomarkers of pathological complete response to neoadjuvant chemoradiotherapy. A mono-institutional retrospective cohort of 95 stage II/III locally advanced rectal cancer patients treated with neoadjuvant chemoradiotherapy and surgery was selected based on clinical–pathological characteristics and the availability of… More >

  • Open Access

    ARTICLE

    Prognostic and Predictive Significance of Eukaryotic Elongation Factor 1D (eEF1D) in Breast Cancer: A Potential Marker of Response to Endocrine Therapy

    Burcu BİTERGE SÜT1,*, Ayşe İKİNCİ KELEŞ2

    Oncologie, Vol.22, No.3, pp. 147-154, 2020, DOI:10.32604/oncologie.2020.014449

    Abstract Components of the protein synthesis machinery are subjected to alterations in cancer cells. eEF1D gene, which lies within the frequently amplified 8q24 locus, is one of the subunits of the human eukaryotic elongation factor complex. This study aimed to evaluate the prognostic and predictive significance of eEF1D in breast cancer using in silico analysis tools. For this purpose, we analyzed genomic alterations of the eEF1D gene using TCGA datasets via cBioPortal. Histopathological analysis was performed on patient tissue images obtained from cBioPortal and the Human Protein Atlas. Survival analysis was carried out using the KM Plotter and the prediction of… More >

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