Evidence map›Paper›PMID 29695253›Full record

ArticleJournal of translational medicine2018

MicroRNA expression profiling for the prediction of resistance to neoadjuvant radiochemotherapy in squamous cell carcinoma of the esophagus.

Julia Slotta-Huspenina, Enken Drecoll, Marcus Feith, Daniel Habermehl, Stephanie Combs, Wilko Weichert, Marcus Bettstetter, Karen Becker, Rupert Langer

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 39 citations in OpenAlex.

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  15. Expression of miRNA in 5-FU resistant esophageal cancer.Molecular and clinical oncology · 2020
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  20. EXT1, Regulated by MiR-665, Promotes Cell Apoptosis via ERK1/2 Signaling Pathway in Acute Lymphoblastic Leukemia.Medical science monitor : international medical journal of experimental and clinical research · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Julia Slotta-HuspeninaInstitute of Pathology, Technische Universität München, Trogerstrasse 18, 81675, Munich, Germany.
Enken DrecollInstitute of Pathology, Technische Universität München, Trogerstrasse 18, 81675, Munich, Germany.
Marcus FeithDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, Ismaningerstrasse 22, 81675, Munich, Germany.
Daniel HabermehlDepartment of Radiation Oncology, Klinikum Rechts der Isar, Technische Universität München, Ismaningerstrasse 22, 81675, Munich, Germany.
Stephanie CombsDepartment of Radiation Oncology, Klinikum Rechts der Isar, Technische Universität München, Ismaningerstrasse 22, 81675, Munich, Germany.
Wilko WeichertInstitute of Pathology, Technische Universität München, Trogerstrasse 18, 81675, Munich, Germany.
Marcus BettstetterTeilgemeinschaftspraxis Molekularpathologie Südbayern, Giesinger Bahnhofplatz 2, 81539, Munich, Germany.
Karen BeckerInstitute of Pathology, Technische Universität München, Trogerstrasse 18, 81675, Munich, Germany.
Rupert LangerInstitute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland. rupert.langer@pathology.unibe.ch.ORCID 0000-0001-9491-3609
Technical University of Munich · DETUM Klinikum · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (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.

methodsFormalin-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.

resultsThe 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.

conclusionsOur results indicate that miRNAs are involved in the therapeutic response in ESCC and suggest that miRNA profiles could facilitate pretherapeutic patient selection.

Indexed as

ChemoradiotherapyGene Expression ProfilingGene Expression Regulation, NeoplasticNeoadjuvant TherapyAdultAgedDrug Resistance, NeoplasmEsophageal Squamous Cell CarcinomaFemaleHumansMaleMicroRNAsMiddle AgedMultivariate AnalysisProportional Hazards ModelsROC CurveMicroRNAsEsophagusmiRNANeoadjuvant therapyResponseSquamous cell carcinoma

Identifiers

PMID29695253
PMCPMC5918871
OpenAlexW2806187310

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.