Evidence map›Paper›PMID 39098932›Full record

ArticleCancer cell international2024

Multiple mechanisms contribute to acquired TRAIL resistance in multiple myeloma.

Fany V Ticona-Pérez, Xi Chen, Atanasio Pandiella, Elena Díaz-Rodríguez

Abstract read
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Fany V Ticona-Pérez *Instituto de Biología Molecular y Celular del Cáncer. CSIC-Universidad de Salamanca, Campus Miguel de Unamuno, 37007, Salamanca, Spain.
Xi Chen *Instituto de Biología Molecular y Celular del Cáncer. CSIC-Universidad de Salamanca, Campus Miguel de Unamuno, 37007, Salamanca, Spain.
Atanasio PandiellaInstituto de Biología Molecular y Celular del Cáncer. CSIC-Universidad de Salamanca, Campus Miguel de Unamuno, 37007, Salamanca, Spain. atanasio@usal.es.
Elena Díaz-RodríguezInstituto de Biología Molecular y Celular del Cáncer. CSIC-Universidad de Salamanca, Campus Miguel de Unamuno, 37007, Salamanca, Spain. ediaz@usal.es.

Funding

Consejería de Educación, Junta de Castilla y León CSI146P20Instituto de Salud Carlos III CIBERONCMinistry of Economy and Competitiveness of Spain BFU2015-71371-R and PID2020-115605RB-I00
6 · The paper itself

Abstract

Multiple Myeloma (MM) prognosis has recently improved thanks to the incorporation of new therapies to the clinic. Nonetheless, it is still a non-curable malignancy. Targeting cancer cells with agents inducing cell death has been an appealing alternative investigated over the years, as is the case of TRAIL, an agonist of DR4 and DR5 death receptors. This pathway, involved in apoptosis triggering, has demonstrated efficacy on MM cells. In this research, we have investigated the sensitivity of a panel of MM cells to this agent and generated TRAIL-resistant models by continuous culture of sensitive cells with this peptide. Using genomic and biochemical approaches, the mechanisms underlying resistance were investigated. In TRAIL-resistant cells, a strong reduction in cell-surface receptor levels was detected and impaired the apoptotic machinery to respond to the treatment, enabling cells to efficiently form the Death Inducing Signalling Complex. In addition, an upregulation of the inhibitory protein c-FLIP was detected. Even though the manipulation of these proteins was able to modify cellular responses to TRAIL, it was not complete, pointing to other mechanisms involved in TRAIL resistance.

Indexed as

Cell deathDrug resistanceMyelomaTRAIL

Identifiers

PMID39098932
PMCPMC11299348

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.