Evidence map›Paper›PMID 27527861›Full record

ArticleOncotarget2016

Comparative proteomic profiling of refractory/relapsed multiple myeloma reveals biomarkers involved in resistance to bortezomib-based therapy.

Dominik Dytfeld, Magdalena Luczak, Tomasz Wrobel, Lidia Usnarska-Zubkiewicz, Katarzyna Brzezniakiewicz, Krzysztof Jamroziak, Krzysztof Giannopoulos, Anna Przybylowicz-Chalecka, Blazej Ratajczak, Joanna Czerwinska-Rybak and 13 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 68 citations in OpenAlex.

  1. Thioredoxin Domain Containing 5 (TXNDC5): Friend or Foe?Current issues in molecular biology · 2024
    Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. The role and mechanism of TXNDC5 in diseases.European journal of medical research · 2022
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

23 authors at 8 institutions in 3 countries.

Dominik DytfeldDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Magdalena Luczaknstitute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Tomasz WrobelDepartment of Hematology and Bone Marrow Transplantation, Wroclaw Medical University, Wroclaw, Poland.
Lidia Usnarska-ZubkiewiczDepartment of Hematology and Bone Marrow Transplantation, Wroclaw Medical University, Wroclaw, Poland.
Katarzyna BrzezniakiewiczDepartment of Hematology and Bone Marrow Transplantation, Wroclaw Medical University, Wroclaw, Poland.
Krzysztof JamroziakInstitute of Hematology and Transfusiology, Warsaw, Poland.
Krzysztof GiannopoulosExperimental Hematooncology Department, Medical University of Lublin and Hematology Department, St John's Cancer Center in Lublin, Lublin, Poland.
Anna Przybylowicz-ChaleckaDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Blazej RatajczakDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Joanna Czerwinska-RybakDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Adam NowickiDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Monika JoksDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Elzbieta CzechowskaDepartment of Internal Medicine and Hematology, Stanisław Staszic Specialist Hospital, Piła, Poland.
Magdalena ZawartkoDepartment of Hematology, 109 Military Hospital, Szczecin, Poland.
Tomasz SzczepaniakDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Norbert GrzaskoExperimental Hematooncology Department, Medical University of Lublin and Hematology Department, St John's Cancer Center in Lublin, Lublin, Poland.
Marta MorawskaExperimental Hematooncology Department, Medical University of Lublin and Hematology Department, St John's Cancer Center in Lublin, Lublin, Poland.
Maciej BochenekDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Tadeusz KubickiDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Michalina MorawskaDepartment of Hematology, Hospital in Gorzow Wlkp, Gorzow Wlkp, Poland.
Katarzyna TusznioInstitute of Hematology and Transfusiology, Warsaw, Poland.
Andrzej JakubowiakUniversity of Chicago, Chicago, IL, USA.
MieczysÅ Aw KomarnickiDepartment of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, Poznan, Poland.
Poznan University of Medical Sciences · PLAuthorised Association Consortium · TZMedical University of Lublin · PLInstytut Hematologii i Transfuzjologi · PLPolish Academy of Sciences · PLStanisław Staszic University of Applied Sciences in Piła · PLUniversity of Illinois Chicago · USWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying biomarkers of the resistance in multiple myeloma (MM) is a key research challenge. We aimed to identify proteins that differentiate plasma cells in patients with refractory/relapsed MM (RRMM) who achieved at least very good partial response (VGPR) and in those with reduced response to PAD chemotherapy (bortezomib, doxorubicin and dexamethasone). Comparative proteomic analysis was conducted on pretreatment plasma cells from 77 proteasome inhibitor naïve patients treated subsequently with PAD due to RRMM. To increase data confidence we used two independent proteomic platforms: isobaric Tags for Relative and Absolute Quantitation (iTRAQ) and label free (LF). Proteins were considered as differentially expressed when their accumulation between groups differed by at least 50% in iTRAQ and LF. The proteomic signature revealed 118 proteins (35 up-regulated and 83 down-regulated in ≥ VGPR group). Proteins were classified into four classes: (1) involved in proteasome function; (2) involved in the response to oxidative stress; (3) related to defense response; and (4) regulating the apoptotic process. We confirmed the differential expression of proteasome activator complex subunit 1 (PSME1) by enzyme-linked immunosorbent assay. Increased expression of proteasomes and proteins involved in protection from oxidative stress (eg., TXN, TXNDC5) plays a major role in bortezomib resistance.

Indexed as

Drug Resistance, NeoplasmAgedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsApoptosisBiomarkers, TumorBortezomibDexamethasoneDoxorubicinEnzyme-Linked Immunosorbent AssayGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedMultiple MyelomaNeoplasm Recurrence, LocalAntineoplastic AgentsBiomarkers, TumorBortezomibDexamethasoneDoxorubicinThioredoxinsbortezomibiTRAQlabel-free proteomicsmultiple myelomathioredoxin

Identifiers

PMID27527861
PMCPMC5302948
OpenAlexW2494644907

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.