Evidence map›Paper›PMID 38314087›Full record

ArticleJournal of immunology research2024

Immunoinformatics Approach to Design a Chimeric CD70-Peptide Vaccine against Renal Cell Carcinoma.

Haideh Namdari, Farhad Rezaei, Fatemeh Heidarnejad, Mohammad Yaghoubzad-Maleki, Maryam Karamigolbaghi

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

5 authors at 4 institutions in 1 country.

Haideh NamdariIranian Tissue Bank and Research Center, Tehran University of Medical Science, Tehran, Iran.ORCID https://orcid.org/0000-0002-3323-5936
Farhad RezaeiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-5957-6691
Fatemeh HeidarnejadBiotechnology Research Center (BRC), Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0009-0009-9735-2873
Mohammad Yaghoubzad-MalekiDivision of Biochemistry, Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran.ORCID https://orcid.org/0000-0002-5915-3592
Maryam KaramigolbaghiIranian Tissue Bank and Research Center, Tehran University of Medical Science, Tehran, Iran.ORCID https://orcid.org/0000-0002-0513-9293
University of Tehran · IRPasteur Institute of Iran · IRTehran University of Medical Sciences · IRUniversity of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) accounts for the majority of cancer-related deaths worldwide. Overexpression of CD70 has been linked to advanced stages of RCC. Therefore, this study aims to develop a multiepitope vaccine targeting the overexpressed CD70 using immunoinformatics techniques. In this investigation, in silico multiepitope vaccines were constructed by linking specific CD70 protein epitopes for helper T lymphocytes and CD8

Indexed as

Cancer VaccinesCarcinoma, Renal CellKidney NeoplasmsCD27 LigandComputational BiologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunoinformaticsMolecular Docking SimulationMolecular Dynamics SimulationProtein Subunit VaccinesReceptors, Tumor Necrosis FactorCancer VaccinesCD27 LigandCD70 protein, humanEpitopes, B-LymphocyteEpitopes, T-LymphocyteProtein Subunit VaccinesReceptors, Tumor Necrosis Factor

Identifiers

PMID38314087
PMCPMC10838208
OpenAlexW4391282728

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.