Evidence map›Paper›PMID 32033444›Full record

ReviewInternational journal of molecular sciences2020

Minimal Residual Disease Detection in Acute Lymphoblastic Leukemia.

Aaron Kruse, Nour Abdel-Azim, Hye Na Kim, Yongsheng Ruan, Valerie Phan, Heather Ogana, William Wang, Rachel Lee, Eun Ji Gang, Sajad Khazal and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
14.6field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 148 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
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  6. Review
  7. Article
  8. Article
  9. Review
  10. Post-Transplant Relapse in Acute Leukemia: Comparative Value of MRD and Chimerism.Mediterranean journal of hematology and infectious diseases · 2026
    Article
  11. Article
  12. Review
  13. Low expression of MKRN1 promotes leukemia cell proliferation.European journal of medical research · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. [Diagnosis and treatment of pediatric acute lymphoblastic leukemia: Historical review].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Article
  18. Review
  19. Review
  20. Article

20 more citing papers are in PubMed but not listed here.

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

11 authors at 2 institutions in 1 country.

Aaron KruseChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Nour Abdel-AzimChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Hye Na KimChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Yongsheng RuanChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Valerie PhanChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Heather OganaChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
William WangChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Rachel LeeChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Eun Ji GangChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
Sajad KhazalDepartment of Pediatrics Patient Care, Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yong-Mi KimChildren's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #57, Los Angeles, CA 90027, USA.
University of Southern California · USThe University of Texas MD Anderson Cancer Center · US

Funding

Understanding the niche of minimal residual disease leukemia cellsR01CA172896 · NCI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI KIM, YONG-MI · 2013 to 2022
$3.7M
CSRD VA 1NCI NIH HHS R01 CA172896NIH HHS R01CA245268
6 · The paper itself

Abstract

Minimal residual disease (MRD) refers to a chemotherapy/radiotherapy-surviving leukemia cell population that gives rise to relapse of the disease. The detection of MRD is critical for predicting the outcome and for selecting the intensity of further treatment strategies. The development of various new diagnostic platforms, including next-generation sequencing (NGS), has introduced significant advances in the sensitivity of MRD diagnostics. Here, we review current methods to diagnose MRD through phenotypic marker patterns or differential gene patterns through analysis by flow cytometry (FCM), polymerase chain reaction (PCR), real-time quantitative polymerase chain reaction (RQ-PCR), reverse transcription polymerase chain reaction (RT-PCR) or NGS. Future advances in clinical procedures will be molded by practical feasibility and patient needs regarding greater diagnostic sensitivity.

Indexed as

Flow CytometryHigh-Throughput Nucleotide SequencingHumansNeoplasm Recurrence, LocalNeoplasm, ResidualNeoplastic Cells, CirculatingPolymerase Chain ReactionPrecursor Cell Lymphoblastic Leukemia-Lymphomaacute lymphoblastic leukemiaB-cell acute lymphoblastic leukemiaflow cytometryminimal residual diseasenext-generation sequencingpolymerase chain reactionT-cell acute lymphoblastic leukemia

Identifiers

PMID32033444
PMCPMC7037356
OpenAlexW3004666691

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.