Evidence map›Paper›PMID 28892521›Full record

ArticlePloS one2017

A systems medicine approach for finding target proteins affecting treatment outcomes in patients with non-Hodgkin lymphoma.

Faezeh Ajorloo, Mohammad Vaezi, Alireza Saadat, Seyed Reza Safaee, Behrouz Gharib, Mostafa Ghanei, Seyed Davar Siadat, Farzam Vaziri, Abolfazl Fateh, Mehrdad Pazhouhandeh and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Frequency of Autoantibodies on Non-Hodgkin Lymphoma.Healthcare (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Review
  6. The Role of Nonerythroid SpectrinJournal of oncology · 2019
    Review
  7. Review
  8. Article
  9. Article
  10. Article
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 5 institutions in 1 country.

Faezeh AjorlooDepartment of Biology, Faculty of Science, Islamic Azad University, East Tehran Branch, Tehran, Iran.
Mohammad VaeziHematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Alireza SaadatDepartment of Hematology & Oncology, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Seyed Reza SafaeeHematology and Oncology Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Behrouz GharibDepartment of Internal Medicine (Hematology and Oncology), Qom University of Medical Sciences, Qom, Iran.
Mostafa GhaneiHuman Antibody Lab, Innovation Center, Pasteur Institute of Iran, Tehran, Iran.
Seyed Davar SiadatHuman Antibody Lab, Innovation Center, Pasteur Institute of Iran, Tehran, Iran.
Farzam VaziriHuman Antibody Lab, Innovation Center, Pasteur Institute of Iran, Tehran, Iran.
Abolfazl FatehHuman Antibody Lab, Innovation Center, Pasteur Institute of Iran, Tehran, Iran.
Mehrdad PazhouhandehHuman Antibody Lab, Innovation Center, Pasteur Institute of Iran, Tehran, Iran.
Behrouz VaziriBiotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Reza MoazemiBiotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Fereidoun MahboudiBiotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Fatemeh Rahimi JamnaniHuman Antibody Lab, Innovation Center, Pasteur Institute of Iran, Tehran, Iran.ORCID http://orcid.org/0000-0001-7172-8435
Pasteur Institute of Iran · IRBaqiyatallah University of Medical Sciences · IRImam Khomeini Hospital · IRQom University of Medical Science and Health Services · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoantibody profiling with a systems medicine approach can help identify critical dysregulated signaling pathways (SPs) in cancers. In this way, immunoglobulins G (IgG) purified from the serum samples of 92 healthy controls, 10 pre-treated (PR) non-Hodgkin lymphoma (NHL) patients, and 20 NHL patients who underwent chemotherapy (PS) were screened with a phage-displayed random peptide library. Protein-protein interaction networks of the PR and PS groups were analyzed and visualized by Gephi. The results indicated AXIN2, SENP2, TOP2A, FZD6, NLK, HDAC2, HDAC1, and EHMT2, in addition to CAMK2A, PLCG1, PLCG2, GRM5, GRIN2B, GRIN2D, CACNA2D3, and SPTAN1 as hubs in 11 and 7 modules of PR and PS networks, respectively. PR- and PS-specific hubs were evaluated in the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome databases. The PR-specific hubs were involved in Wnt SP, signaling by Notch1 in cancer, telomere maintenance, and transcriptional misregulation. In contrast, glutamate receptor SP, Fc receptor-related pathways, growth factors-related SPs, and Wnt SP were statistically significant enriched pathways, based on the pathway analysis of PS hubs. The results revealed that the most PR-specific proteins were associated with events involved in tumor development, while chemotherapy in the PS group was associated with side effects of drugs and/or cancer recurrence. As the findings demonstrated, PR- and PS-specific proteins in this study can be promising therapeutic targets in future studies.

Indexed as

Drug DiscoverySystems BiologyAdolescentAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkersCase-Control StudiesComputational BiologyDrug Resistance, NeoplasmGene OntologyGene Regulatory NetworksHumansLymphoma, Non-HodgkinMiddle AgedAntineoplastic AgentsBiomarkersPeptides

Identifiers

PMID28892521
PMCPMC5593188
OpenAlexW2755950714

What OpenQuestion holds

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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.