Evidence map›Paper›PMID 30152692›Full record

ArticleChemical research in toxicology2018

Toward Predicting Acute Myeloid Leukemia Patient Response to 7 + 3 Induction Chemotherapy via Diagnostic Microdosing.

Tiffany M Scharadin, Michael A Malfatti, Kurt Haack, Kenneth W Turteltaub, Chong-Xian Pan, Paul T Henderson, Brian A Jonas

Abstract read
In one paragraph

Article in Chemical research in toxicology, 2018. 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. Preclinical Models for Bladder Cancer Research.Hematology/oncology clinics of North America · 2021
    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

7 authors.

Tiffany M ScharadinDepartment of Internal Medicine, Division of Hematology and Oncology , University of California Davis School of Medicine , Sacramento , California 95817 , United States.
Michael A MalfattiLawrence Livermore National Laboratory , Livermore , California 94551 , United States.
Kurt HaackLawrence Livermore National Laboratory , Livermore , California 94551 , United States.
Kenneth W TurteltaubLawrence Livermore National Laboratory , Livermore , California 94551 , United States.
Chong-Xian PanDepartment of Internal Medicine, Division of Hematology and Oncology , University of California Davis School of Medicine , Sacramento , California 95817 , United States.
Paul T HendersonDepartment of Internal Medicine, Division of Hematology and Oncology , University of California Davis School of Medicine , Sacramento , California 95817 , United States.ORCID 0000-0003-4238-0446
Brian A JonasDepartment of Internal Medicine, Division of Hematology and Oncology , University of California Davis School of Medicine , Sacramento , California 95817 , United States.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
VITAMIN C (ASCORBATE) METABOLISM IN DROSPHILA MELANOGASTERP41RR013461 · NCRR · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI LAM, KIT S · 1999 to 2011
$20.8M
Resource for the Development of Biomedical Accelerator Mass Spectrometry (AMS)P41GM103483 · NIGMS · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI TURTELTAUB, KENNETH W. · 2012 to 2019
$12.0M
UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
Targeted-and timed-releasing nanotherapeutics against leukemia stem cellsR01CA176803 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PAN, CHONG-XIAN · 2015 to 2019
$1.8M
Feasibility of predicting AML response to induction chemotherapyR43CA221473 · NCI · ACCELERATED MEDICAL DIAGNOSTICS, LLC · PI HENDERSON, PAUL THOMAS · 2017 to 2017
$300k
BLRD VA I01 BX001784BLRD VA I01 BX003840NCI NIH HHS K12 CA138464NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA176803NCI NIH HHS R43 CA221473NCRR NIH HHS P41 RR013461NIGMS NIH HHS P41 GM103483
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a rare yet deadly cancer of the blood and bone marrow. Presently, induction chemotherapy with the DNA damaging drugs cytarabine (ARA-C) and idarubicin (IDA), known as 7 + 3, is the standard of care for most AML patients. However, 7 + 3 is a relatively ineffective therapy, particularly in older patients, and has serious therapy-related toxicities. Therefore, a diagnostic test to predict which patients will respond to 7 + 3 is a critical unmet medical need. We hypothesize that a threshold level of therapy-induced 7 + 3 drug-DNA adducts determines cytotoxicity and clinical response. We further hypothesize that in vitro exposure of AML cells to nontoxic diagnostic microdoses enables prediction of the ability of AML cells to achieve that threshold during treatment. Our test involves dosing cells with very low levels of

Indexed as

Cell Line, TumorCell SurvivalCytarabineDNADNA AdductsDrug Resistance, NeoplasmDrug Therapy, CombinationHumansIdarubicinLeukemia, Myeloid, AcuteMass SpectrometryCytarabineDNADNA AdductsIdarubicin

Identifiers

PMID30152692
PMCPMC6387632

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.