Evidence map›Paper›PMID 32010613›Full record

ReviewFrontiers in oncology2019

Drug Resistance Biomarkers and Their Clinical Applications in Childhood Acute Lymphoblastic Leukemia.

Narges Aberuyi, Soheila Rahgozar, Elaheh Sadat Ghodousi, Kamran Ghaedi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-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

17 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  12. Negative value of CD10Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  13. Article
  14. Article
  15. Targeting non-coding RNAs to overcome cancer therapy resistance.Signal transduction and targeted therapy · 2022
    Review
  16. Review
  17. Non-Coding RNA Signatures of B-Cell Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2021
    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 at 1 institution in 1 country.

Narges AberuyiDivision of Cellular and Molecular Biology, Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Sciences and Technologies, University of Isfahan, Isfahan, Iran.
Soheila RahgozarDivision of Cellular and Molecular Biology, Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Sciences and Technologies, University of Isfahan, Isfahan, Iran.
Elaheh Sadat GhodousiDivision of Cellular and Molecular Biology, Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Sciences and Technologies, University of Isfahan, Isfahan, Iran.
Kamran GhaediDivision of Cellular and Molecular Biology, Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Sciences and Technologies, University of Isfahan, Isfahan, Iran.
University of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are biological molecules found in body fluids or tissues, which can be considered as indications of a normal or abnormal process, or of a condition or disease. There are various types of biomarkers based on their application and molecular alterations. Treatment-sensitivity or drug resistance biomarkers include prognostic and predictive molecules with utmost importance in selecting appropriate treatment protocols and improving survival rates. Acute lymphoblastic leukemia (ALL) is the most prevalent hematological malignancy diagnosed in children with nearly 80% cure rate. Despite the favorable survival rates of childhood ALL (chALL), resistance to chemotherapeutic agents and, as a consequence, a dismal prognosis develops in a significant number of patients. Therefore, there are urgent needs to have robust, sensitive, and disease-specific molecular prognostic and predictive biomarkers, which could allow better risk classification and then better clinical results. In this article, we review the currently known drug resistance biomarkers, including somatic or germ line nucleic acids, epigenetic alterations, protein expressions and metabolic variations. Moreover, biomarkers with potential clinical applications are discussed.

Indexed as

childhood acute lymphoblastic leukemiadrug resistance biomarkersmultidrug resistancepredictive biomarkersprognostic biomarkers

Identifiers

PMID32010613
PMCPMC6978753
OpenAlexW2999961960

What Socratic 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 Socratic graph.