Evidence map›Paper›PMID 28819235›Full record

ArticleScientific reports2017

Expression of long non-coding RNA MFI2-AS1 is a strong predictor of recurrence in sporadic localized clear-cell renal cell carcinoma.

Ronan Flippot, Roger Mouawad, Jean-Philippe Spano, Morgan Rouprêt, Eva Compérat, Marc-Olivier Bitker, Jérôme Parra, Christophe Vaessen, Frederick Allanic, Quentin Manach and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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  5. Non-coding antisense transcripts: fine regulation of gene expression in cancer.Computational and structural biotechnology journal · 2022
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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

14 authors at 6 institutions in 2 countries.

Ronan FlippotDepartment of Medical Oncology, Pitié-Salpêtrière Hospital, Paris, France.
Roger MouawadDepartment of Medical Oncology, Pitié-Salpêtrière Hospital, Paris, France.
Jean-Philippe SpanoDepartment of Medical Oncology, Pitié-Salpêtrière Hospital, Paris, France.
Morgan RouprêtUniversity Pierre and Marie Curie, Institut Universitaire de Cancérologie, Paris, France.
Eva CompératUniversity Pierre and Marie Curie, Institut Universitaire de Cancérologie, Paris, France.
Marc-Olivier BitkerUniversity Pierre and Marie Curie, Institut Universitaire de Cancérologie, Paris, France.
Jérôme ParraUniversity Pierre and Marie Curie, Institut Universitaire de Cancérologie, Paris, France.
Christophe VaessenUniversity Pierre and Marie Curie, Institut Universitaire de Cancérologie, Paris, France.
Frederick AllanicDepartment of Medical Oncology, Pitié-Salpêtrière Hospital, Paris, France.
Quentin ManachUniversity Pierre and Marie Curie, Institut Universitaire de Cancérologie, Paris, France.
Nizar M TannirDepartment of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
David KhayatDepartment of Medical Oncology, Pitié-Salpêtrière Hospital, Paris, France.
Xiaoping SuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Gabriel G MaloufDepartment of Medical Oncology, Pitié-Salpêtrière Hospital, Paris, France. gabriel.malouf@aphp.fr.
Pitié-Salpêtrière Hospital · FROnco-Urologie PrédictiveSorbonne Université · FRThe University of Texas MD Anderson Cancer Center · USAssistance Publique – Hôpitaux de Paris · FRHôpital Tenon · FR

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

Prediction of recurrence is a challenge for the development of adjuvant treatments in clear-cell renal cell carcinoma (ccRCC). In these tumors, expression of long non-coding RNAs (lncRNAs) are deregulated and closely associated with prognosis. Thus, we aimed to predict ccRCC recurrence risk using lncRNA expression. We identified prognostic lncRNAs in a training set of 351 localized ccRCCs from The Cancer Genome Atlas and validated lncRNA-based recurrence classification in an independent cohort of 167 localized ccRCCs. We identified lncRNA MFI2-AS1 as best candidate in the training set. In the validation cohort, MFI2-AS1 expression was independently associated with shorter disease-free survival (Hazard Ratio (HR) for relapse 3.5, p = 0.0001). Combined with Leibovich classification, MFI2-AS1 status improved prediction of recurrence (C-index 0.70) compared to MFI2-AS1 alone (0.67) and Leibovich classification alone (0.66). In patients with aggressive tumors (Leibovich ≥5), MFI2-AS1 expression was associated with dramatically increased risk of relapse (HR 12.16, p < 0.0001) compared to patients with undetectable MFI2-AS1 who had favorable outcomes. Compared to normal samples, MFI2-AS1 was upregulated in tumor tissue, and higher expression was associated with metastatic dissemination. Overall, MFI2-AS1 status improves patient stratification in localized ccRCC, which supports further integration of lncRNAs in molecular cancer classifications.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellCohort StudiesFemaleHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID28819235
PMCPMC5561098
OpenAlexW2744587089

What OpenQuestion holds

Textmetadata
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.