We are analyzing https://link.springer.com/article/10.1186/s12967-018-1492-9.

Title:
MicroRNA expression profiling for the prediction of resistance to neoadjuvant radiochemotherapy in squamous cell carcinoma of the esophagus | Journal of Translational Medicine
Description:
Background MicroRNAs (miRNAs) play an important role in cancer biology. Neoadjuvant radiochemotherapy followed by surgery is a standard treatment for locally advanced esophageal squamous cell carcinoma (ESCC). However, a subset of patients do not respond. We evaluated whether miRNA profiles can predict resistance to radiochemotherapy. Methods Formalin-fixed, paraffin-embedded pretherapeutic biopsies of patients treated by radiochemotherapy followed by esophagectomy were analyzed. The response was determined by histopathological tumor regression grading. miRNA profiling was performed by microarray analysis (Agilent platform) in 16 non-responders and 15 responders. Differentially expressed miRNAs were confirmed by real-time quantitative PCR (qRT-PCR) in an expanded cohort of 53 cases. Results The miRNA profiles within and between non-responders and responders were highly similar (r = 0.96, 0.94 and 0.95). However, 12 miRNAs were differentially expressed (> twofold; p ≤ 0.025): non-responders showed upregulation of hsa-miR-1323, hsa-miR-3678-3p, hsv2-miR-H7-3p, hsa-miR-194*, hsa-miR-3152, kshv-miR-K12-4-3p, hsa-miR-665 and hsa-miR-3659 and downregulation of hsa-miR-126*, hsa-miR-484, hsa-miR-330-3p and hsa-miR-3653. qRT-PCR analysis confirmed the microarray findings for hsa-miR-194* and hsa-miR-665 (p < 0.001 each) with AUC values of 0.811 (95% CI 0.694–0.927) and 0.817 (95% CI 0.704–0.930), respectively, in ROC analysis. Conclusions Our results indicate that miRNAs are involved in the therapeutic response in ESCC and suggest that miRNA profiles could facilitate pretherapeutic patient selection.
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Keywords {🔍}

analysis, article, pubmed, mirnas, mirna, google, scholar, expression, cancer, esophageal, patients, microarray, cas, hsamir, data, neoadjuvant, cell, response, tumor, nonresponders, results, responders, squamous, samples, carcinoma, rna, microrna, radiochemotherapy, tissue, surgery, regression, table, levels, profiling, micrornas, treatment, escc, differentially, expressed, survival, studies, study, central, research, profiles, agilent, potential, pcr, therapy, ffpe,

Topics {✒️}

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Schema {🗺️}

WebPage:
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         headline:MicroRNA expression profiling for the prediction of resistance to neoadjuvant radiochemotherapy in squamous cell carcinoma of the esophagus
         description:MicroRNAs (miRNAs) play an important role in cancer biology. Neoadjuvant radiochemotherapy followed by surgery is a standard treatment for locally advanced esophageal squamous cell carcinoma (ESCC). However, a subset of patients do not respond. We evaluated whether miRNA profiles can predict resistance to radiochemotherapy. Formalin-fixed, paraffin-embedded pretherapeutic biopsies of patients treated by radiochemotherapy followed by esophagectomy were analyzed. The response was determined by histopathological tumor regression grading. miRNA profiling was performed by microarray analysis (Agilent platform) in 16 non-responders and 15 responders. Differentially expressed miRNAs were confirmed by real-time quantitative PCR (qRT-PCR) in an expanded cohort of 53 cases. The miRNA profiles within and between non-responders and responders were highly similar (r = 0.96, 0.94 and 0.95). However, 12 miRNAs were differentially expressed (> twofold; p ≤ 0.025): non-responders showed upregulation of hsa-miR-1323, hsa-miR-3678-3p, hsv2-miR-H7-3p, hsa-miR-194*, hsa-miR-3152, kshv-miR-K12-4-3p, hsa-miR-665 and hsa-miR-3659 and downregulation of hsa-miR-126*, hsa-miR-484, hsa-miR-330-3p and hsa-miR-3653. qRT-PCR analysis confirmed the microarray findings for hsa-miR-194* and hsa-miR-665 (p < 0.001 each) with AUC values of 0.811 (95% CI 0.694–0.927) and 0.817 (95% CI 0.704–0.930), respectively, in ROC analysis. Our results indicate that miRNAs are involved in the therapeutic response in ESCC and suggest that miRNA profiles could facilitate pretherapeutic patient selection.
         datePublished:2018-04-25T00:00:00Z
         dateModified:2018-05-16T00:00:00Z
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            Squamous cell carcinoma
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            Neoadjuvant therapy
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      headline:MicroRNA expression profiling for the prediction of resistance to neoadjuvant radiochemotherapy in squamous cell carcinoma of the esophagus
      description:MicroRNAs (miRNAs) play an important role in cancer biology. Neoadjuvant radiochemotherapy followed by surgery is a standard treatment for locally advanced esophageal squamous cell carcinoma (ESCC). However, a subset of patients do not respond. We evaluated whether miRNA profiles can predict resistance to radiochemotherapy. Formalin-fixed, paraffin-embedded pretherapeutic biopsies of patients treated by radiochemotherapy followed by esophagectomy were analyzed. The response was determined by histopathological tumor regression grading. miRNA profiling was performed by microarray analysis (Agilent platform) in 16 non-responders and 15 responders. Differentially expressed miRNAs were confirmed by real-time quantitative PCR (qRT-PCR) in an expanded cohort of 53 cases. The miRNA profiles within and between non-responders and responders were highly similar (r = 0.96, 0.94 and 0.95). However, 12 miRNAs were differentially expressed (> twofold; p ≤ 0.025): non-responders showed upregulation of hsa-miR-1323, hsa-miR-3678-3p, hsv2-miR-H7-3p, hsa-miR-194*, hsa-miR-3152, kshv-miR-K12-4-3p, hsa-miR-665 and hsa-miR-3659 and downregulation of hsa-miR-126*, hsa-miR-484, hsa-miR-330-3p and hsa-miR-3653. qRT-PCR analysis confirmed the microarray findings for hsa-miR-194* and hsa-miR-665 (p < 0.001 each) with AUC values of 0.811 (95% CI 0.694–0.927) and 0.817 (95% CI 0.704–0.930), respectively, in ROC analysis. Our results indicate that miRNAs are involved in the therapeutic response in ESCC and suggest that miRNA profiles could facilitate pretherapeutic patient selection.
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            name:Technische Universität München
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               name:Institute of Pathology, Technische Universität München, Munich, Germany
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            address:
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      affiliation:
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               type:PostalAddress
            type:Organization
      name:Karen Becker
      affiliation:
            name:Technische Universität München
            address:
               name:Institute of Pathology, Technische Universität München, Munich, Germany
               type:PostalAddress
            type:Organization
      name:Rupert Langer
      url:http://orcid.org/0000-0001-9491-3609
      affiliation:
            name:University of Bern
            address:
               name:Institute of Pathology, University of Bern, Bern, Switzerland
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Institute of Pathology, Technische Universität München, Munich, Germany
      name:Institute of Pathology, Technische Universität München, Munich, Germany
      name:Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
      name:Department of Radiation Oncology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
      name:Department of Radiation Oncology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
      name:Institute of Pathology, Technische Universität München, Munich, Germany
      name:Teilgemeinschaftspraxis Molekularpathologie Südbayern, Munich, Germany
      name:Institute of Pathology, Technische Universität München, Munich, Germany
      name:Institute of Pathology, University of Bern, Bern, Switzerland

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