Evidence map›Paper›PMID 26482616›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Do circulating long non-coding RNAs (lncRNAs) (LincRNA-p21, GAS 5, HOTAIR) predict the treatment response in patients with head and neck cancer treated with chemoradiotherapy?

Merdan Fayda, Mustafa Isin, Makbule Tambas, Murat Guveli, Rasim Meral, Musa Altun, Dilek Sahin, Gozde Ozkan, Yasemin Sanli, Husniye Isin and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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  4. Plasma expression of long non-coding RNAFrontiers in oncology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Merdan FaydaDepartment of Radiation Oncology, Institute of Oncology, Istanbul University, Capa, 34390, Istanbul, Turkey. merdanfayda@yahoo.com.
Mustafa IsinDepartment of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Makbule TambasDepartment of Radiation Oncology, Institute of Oncology, Istanbul University, Capa, 34390, Istanbul, Turkey.
Murat GuveliDepartment of Radiation Oncology, Institute of Oncology, Istanbul University, Capa, 34390, Istanbul, Turkey.
Rasim MeralDepartment of Radiation Oncology, Institute of Oncology, Istanbul University, Capa, 34390, Istanbul, Turkey.
Musa AltunDepartment of Radiation Oncology, Institute of Oncology, Istanbul University, Capa, 34390, Istanbul, Turkey.
Dilek SahinOncological Radiology Unit, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Gozde OzkanDepartment of Nuclear Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Yasemin SanliDepartment of Nuclear Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Husniye IsinDepartment of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Emre OzgurDepartment of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Ugur GezerDepartment of Basic Oncology, Institute of Oncology, Istanbul University, Istanbul, Turkey.
Istanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have been shown to be aberrantly expressed in head and neck cancer (HNC). The aim of the present study was to evaluate plasma levels of three lncRNA molecules (lincRNA-p21, GAS5, and HOTAIR) in the treatment response in HNC patients treated with radical chemoradiotherapy (CRT). Forty-one patients with HNC were enrolled in the study. Most of the patients had nasopharyngeal carcinoma (n = 27, 65.9 %) and locally advanced disease. Blood was drawn at baseline and treatment evaluation 4.5 months after therapy. lncRNAs in plasma were measured by semiquantitative PCR. Treatment response was evaluated according to clinical examination, RECIST and PERCIST criteria based on magnetic resonance imaging (MRI), and positron emission tomography with computed tomography (PET/CT) findings. Complete response (CR) rates were 73.2, 36.6, and 50 % for clinical investigation, PET/CT-, or MRI-based response evaluation, respectively. Predictive value of lncRNAs was investigated in patients with CR vs. those with partial response (PR)/progressive disease (PD). We found that post-treatment GAS5 levels in patients with PR/PD were significantly higher compared with patients with CR based on clinical investigation (p = 0.01). Receiver operator characteristic (ROC) analysis showed that at a cutoff value of 0.3 of GAS5, sensitivity and specificity for clinical tumor response were 82 and 77 %, respectively. Interestingly, pretreatment GAS5 levels were significantly increased in patients with PR/PD compared to those with CR upon MRI-based response evaluation (p = 0.042). In contrast to GAS5, pretreatment or post-treatment lincRNA-p21 and HOTAIR levels were not informative for treatment response. Our results suggest that circulating GAS5 could be a biomarker in predicting treatment response in HNC patients.

Indexed as

Area Under CurveBiomarkers, TumorCarcinoma, Squamous CellChemoradiotherapyFemaleHead and Neck NeoplasmsHumansKaplan-Meier EstimateMaleMiddle AgedRNA, Long NoncodingROC CurveTreatment OutcomeBiomarkers, TumorRNA, Long NoncodingCirculating long non-coding RNAs (lncRNAs)GAS5Head and neckHOTAIRLincRNA-p21Treatment response predictive value

Identifiers

PMID26482616
OpenAlexW2154395350

What OpenQuestion holds

Textmetadata
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.