Evidence map›Paper›PMID 27387388›Full record

ArticleScientific reports2016

Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery.

Annacarmen Petrizzo, Francesca Pia Caruso, Maria Tagliamonte, Maria Lina Tornesello, Michele Ceccarelli, Valerio Costa, Marianna Aprile, Roberta Esposito, Gennaro Ciliberto, Franco M Buonaguro and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Annacarmen PetrizzoLaboratory of Molecular Biology and Viral Oncology, Naples-Italy.
Francesca Pia CarusoUniversity del Sannio, Benevento-Italy.
Maria TagliamonteLaboratory of Molecular Biology and Viral Oncology, Naples-Italy.
Maria Lina TorneselloLaboratory of Molecular Biology and Viral Oncology, Naples-Italy.
Michele CeccarelliUniversity del Sannio, Benevento-Italy.
Valerio CostaInstitute of Genetics and Biophysics "A. Buzzati-Traverso" (IGB), National Research Council, 80131 Naples, Italy.
Marianna AprileInstitute of Genetics and Biophysics "A. Buzzati-Traverso" (IGB), National Research Council, 80131 Naples, Italy.
Roberta EspositoInstitute of Genetics and Biophysics "A. Buzzati-Traverso" (IGB), National Research Council, 80131 Naples, Italy.
Gennaro CilibertoScientific Direction, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, Naples-Italy.
Franco M BuonaguroLaboratory of Molecular Biology and Viral Oncology, Naples-Italy.
Luigi BuonaguroLaboratory of Molecular Biology and Viral Oncology, Naples-Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel two-step bioinformatics strategy was applied for identification of signatures with therapeutic implications in hepatitis-associated HCC. Transcriptional profiles from HBV- and HCV-associated HCC samples were compared with non-tumor liver controls. Resulting HCC modulated genes were subsequently compared with different non-tumor tissue samples. Two related signatures were identified, namely "HCC-associated" and "HCC-specific". Expression data were validated by RNA-Seq analysis carried out on unrelated HCC samples and protein expression was confirmed according to The Human Protein Atlas" (http://proteinatlas.org/), a public repository of immunohistochemistry data. Among all, aldo-keto reductase family 1 member B10, and IGF2 mRNA-binding protein 3 were found strictly HCC-specific with no expression in 18/20 normal tissues. Target peptides for vaccine design were predicted for both proteins associated with the most prevalent HLA-class I and II alleles. The described novel strategy showed to be feasible for identification of HCC-specific proteins as highly potential target for HCC immunotherapy.

Indexed as

Computational BiologyGene Expression ProfilingAntigens, NeoplasmCarcinoma, HepatocellularHepatitis B, ChronicHepatitis C, ChronicHumansImmunohistochemistrySequence Analysis, RNAAntigens, Neoplasm

Identifiers

PMID27387388
PMCPMC4937235

What OpenQuestion holds

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Registered trials

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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.