Evidence map›Paper›PMID 28484222›Full record

ArticleScientific reports2017

In silico evaluation of DNA Damage Inducible Transcript 4 gene (DDIT4) as prognostic biomarker in several malignancies.

Joseph A Pinto, Christian Rolfo, Luis E Raez, Alexandra Prado, Jhajaira M Araujo, Leny Bravo, Williams Fajardo, Zaida D Morante, Alfredo Aguilar, Silvia P Neciosup 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 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

57 citing papers in PubMed, 86 citations in OpenAlex.

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  9. Prognostic model based on B cell marker genes for NSCLC patients under neoadjuvant immunotherapy by integrated analysis of single-cell and bulk RNA-sequencing data.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  20. The prognostic significance of DDIT4 in endometrial cancer.Cancer biomarkers : section A of Disease markers · 2023
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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 7 institutions in 4 countries.

Joseph A PintoUnidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.ORCID 0000-0002-7744-1635
Christian RolfoPhase I-Early Clinical trials Unit, Antwerp University Hospital & Center for Oncological Research (CORE), Antwerp, Belgium.ORCID 0000-0002-5109-0267
Luis E RaezThoracic Oncology Program, Memorial Cancer Institute, Memorial Health Care System, Pembroke Pines, FL, USA.
Alexandra PradoUnidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.
Jhajaira M AraujoUnidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.
Leny BravoEscuela de Medicina Humana, Universidad Privada San Juan Bautista, Av. José Antonio Lavalle s/n Hacienda Villa, Chorrillos. Lima 09, Peru.
Williams FajardoEscuela de Medicina Humana, Universidad Privada San Juan Bautista, Av. José Antonio Lavalle s/n Hacienda Villa, Chorrillos. Lima 09, Peru.
Zaida D MoranteDepartamento de Medicina Oncológica, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.
Alfredo AguilarDepartamento de Medicina Oncológica, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.
Silvia P NeciosupUnidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.
Luis A MasUnidad de Investigación Básica y Traslacional, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru.
Denisse BretelGrupo de Estudios Clínico Oncológicos Peruano (GECOPERU), Lima, Lima 33, Peru.
Justin M BalkoVanderbilt Ingram Cancer Center, Vanderbilt University, Nashville, TN, 37232-6307, USA.
Henry L GomezDepartamento de Medicina Oncológica, Oncosalud-AUNA, Av. Guardia Civil 571, San Borja. Lima 41, Peru. hgomezmoreno@gmail.com.
EsSALUD · PEUniversidad Privada San Juan Bautista · PEAntwerp University Hospital · BECentro Peruano de Estudios Sociales · PEGuardia Civil · ESMemorial Health System · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DDIT4 gene encodes a protein whose main action is to inhibit mTOR under stress conditions whilst several in vitro studies indicate that its expression favors cancer progression. We have previously described that DDIT4 expression is an independent prognostic factor for tripe negative breast cancer resistant to neoadjuvant chemotherapy. We herein report that high DDIT4 expression is related to the outcome (recurrence-free survival, time to progression and overall survival) in several cancer types. We performed in silico analysis in online platforms, in pooled datasets from KM Plotter and meta-analysis of individual datasets from SurvExpress. High levels of DDIT4 were significantly associated with a worse prognosis in acute myeloid leukemia, breast cancer, glioblastoma multiforme, colon, skin and lung cancer. Conversely, a high DDIT4 expression was associated with an improved prognostic in gastric cancer. DDIT4 was not associated with the outcome of ovarian cancers. Analysis with data from the Cell Miner Tool in 60 cancer cell lines indicated that although rapamycin activity was correlated with levels of MTOR, it is not influenced by DDIT4 expression. In summary, DDIT4 might serve as a novel prognostic biomarker in several malignancies. DDIT4 activity could be responsible for resistance to mTOR inhibitors and is a potential candidate for the development of targeted therapy.

Indexed as

Computer SimulationDNA DamageBiomarkers, TumorDatabases as TopicHumansNeoplasmsPhosphatidylinositol 3-KinasesPrognosisSignal TransductionSirolimusSurvival AnalysisTOR Serine-Threonine KinasesTranscription FactorsTreatment OutcomeBiomarkers, TumorDDIT4 protein, humanPhosphatidylinositol 3-KinasesSirolimusTOR Serine-Threonine KinasesTranscription Factors

Identifiers

PMID28484222
PMCPMC5431475
OpenAlexW2611636955

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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.