Evidence map›Paper›PMID 33590411›Full record

SynthesisMolecular biology reports2021

Silencing of ZFP36L2 increases sensitivity to temozolomide through G2/M cell cycle arrest and BAX mediated apoptosis in GBM cells.

Mohd Firdaus Che Mat, Ezanee Azlina Mohamad Hanif, Nor Azian Abdul Murad, Kamariah Ibrahim, Roslan Harun, Rahman Jamal

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Mohd Firdaus Che MatUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Medical Centre, Jalan Ya'acob Latiff, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia.
Ezanee Azlina Mohamad HanifUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Medical Centre, Jalan Ya'acob Latiff, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia.
Nor Azian Abdul MuradUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Medical Centre, Jalan Ya'acob Latiff, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia.
Kamariah IbrahimUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Medical Centre, Jalan Ya'acob Latiff, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia.
Roslan HarunUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Medical Centre, Jalan Ya'acob Latiff, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia. drroslan@ppukm.ukm.edu.my.
Rahman JamalUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Medical Centre, Jalan Ya'acob Latiff, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia. rahmanj@ppukm.ukm.my.
University Kebangsaan Malaysia Medical Centre · MY

Funding

Higher Institution Centre of Excellence (HICoE) JJ-008-2011
6 · The paper itself

Abstract

Despite the advancements in primary brain tumour diagnoses and treatments, the mortality rate remains high, particularly in glioblastoma (GBM). Chemoresistance, predominantly in recurrent cases, results in decreased mean survival of patients with GBM. We aimed to determine the chemosensitisation and oncogenic characteristics of zinc finger protein 36-like 2 (ZFP36L2) in LN18 GBM cells via RNA interference (RNAi) delivery. We conducted a meta-analysis of microarray datasets and RNAi screening using pooled small interference RNA (siRNA) to identify the druggable genes responsive to GBM chemosensitivity. Temozolomide-resistant LN18 cells were used to evaluate the effects of gene silencing on chemosensitisation to the sub-lethal dose (1/10 of the median inhibitory concentration [IC50]) of temozolomide. ZFP36L2 protein expression was detected by western blotting. Cell viability, proliferation, cell cycle and apoptosis assays were carried out using commercial kits. A human apoptosis array kit was used to determine the apoptosis pathway underlying chemosensitisation by siRNA against ZFP36L2 (siZFP36L2). Statistical analyses were performed using one-way analysis of variance; p > 0.05 was considered significant. The meta-analysis and RNAi screening identified ZFP36L2 as a potential marker of GBM. ZFP36L2 knockdown significantly induced apoptosis (p < 0.05). Moreover, ZFP36L2 inhibition led to increased cell cycle arrest and decreased cell proliferation. Downstream analysis showed that the sub-lethal dose of temozolomide and siZFP26L2 caused major upregulation of BCL2-associated X, apoptosis regulator (BAX). ZFP36L2 has oncogenic and chemosensitive characteristics and may play an important role in gliomagenesis through cell proliferation, cell cycle arrest and apoptosis. This suggests that RNAi combined with chemotherapy treatment such as temozolomide may be a potential GBM therapeutic intervention in the future.

Indexed as

AnimalsApoptosisbcl-2-Associated X ProteinCell Cycle CheckpointsCell Line, TumorCell ProliferationDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticGlioblastomaHumansMiceRNA, Small InterferingTemozolomideTranscription FactorsXenograft Model Antitumor AssaysBAX protein, humanbcl-2-Associated X ProteinRNA, Small InterferingTemozolomideTranscription FactorsZFP36L2 protein, humanChemosensitisationGlioblastomaRNAi screeningTemozolomideZFP36L2

Identifiers

PMID33590411
OpenAlexW3133078592

What OpenQuestion holds

Textmetadata
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.