Evidence map›Paper›PMID 26060582›Full record

ArticleInternational journal of proteomics2015

SILAC-Based Quantitative Proteomic Analysis of Diffuse Large B-Cell Lymphoma Patients.

Ulla Rüetschi, Martin Stenson, Sverker Hasselblom, Herman Nilsson-Ehle, Ulrika Hansson, Henrik Fagman, Per-Ola Andersson

Open access · hybridAbstract read
In one paragraph

Article in International journal of proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Vitreous Humor Proteomic Profile in Patients With Vitreoretinal Lymphoma.Investigative ophthalmology & visual science · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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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

7 authors at 4 institutions in 1 country.

Ulla RüetschiDepartment of Clinical Chemistry and Transfusion Medicine, Sahlgrenska University Hospital, 413 45 Göteborg, Sweden ; Sahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden.
Martin StensonSahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden ; Section of Hematology, Kungälv Hospital, 442 83 Kungälv, Sweden.
Sverker HasselblomSahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden ; Section of Hematology and Coagulation, Sahlgrenska University Hospital, 413 45 Göteborg, Sweden.
Herman Nilsson-EhleSahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden ; Section of Hematology and Coagulation, Sahlgrenska University Hospital, 413 45 Göteborg, Sweden.
Ulrika HanssonSahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden ; Department of Pathology and Cytology, Sahlgrenska University Hospital, 413 45 Göteborg, Sweden.
Henrik FagmanSahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden ; Department of Pathology and Cytology, Sahlgrenska University Hospital, 413 45 Göteborg, Sweden.
Per-Ola AnderssonSahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden ; Unit of Hematology, Department of Medicine, Södra Älvsborg Hospital, 504 55 Borås, Sweden.
University of Gothenburg · SESahlgrenska University Hospital · SEKungälvs Sjukhus · SESödra Älvsborg Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL), the most common lymphoma, is a heterogeneous disease where the outcome for patients with early relapse or refractory disease is very poor, even in the era of immunochemotherapy. In order to describe possible differences in global protein expression and network patterns, we performed a SILAC-based shotgun (LC-MS/MS) quantitative proteomic analysis in fresh-frozen tumor tissue from two groups of DLBCL patients with totally different clinical outcome: (i) early relapsed or refractory and (ii) long-term progression-free patients. We could identify over 3,500 proteins; more than 1,300 were quantified in all patients and 87 were significantly differentially expressed. By functional annotation analysis on the 66 proteins overexpressed in the progression-free patient group, we found an enrichment of proteins involved in the regulation and organization of the actin cytoskeleton. Also, five proteins from actin cytoskeleton regulation, applied in a supervised regression analysis, could discriminate the two patient groups. In conclusion, SILAC-based shotgun quantitative proteomic analysis appears to be a powerful tool to explore the proteome in DLBCL tumor tissue. Also, as progression-free patients had a higher expression of proteins involved in the actin cytoskeleton protein network, such a pattern indicates a functional role in the sustained response to immunochemotherapy.

Identifiers

PMID26060582
PMCPMC4427854
OpenAlexW2008521743

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.