Evidence map›Paper›PMID 29172682›Full record

ArticleBiopreservation and biobanking2018

Impact of Specimen Heterogeneity on Biomarkers in Repository Samples from Patients with Acute Myeloid Leukemia: A SWOG Report.

Era L Pogosova-Agadjanyan, Anna Moseley, Megan Othus, Frederick R Appelbaum, Thomas R Chauncey, I-Ming L Chen, Harry P Erba, John E Godwin, Min Fang, Kenneth J Kopecky and 7 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Biopreservation and biobanking, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. TIM-3 in AML: pathogenic roles and therapeutic targetability.Clinical and experimental medicine · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

Era L Pogosova-Agadjanyan1 Clinical Research Division , Fred Hutch, Seattle, Washington.
Anna Moseley2 SWOG Statistical Center , Fred Hutch, Seattle, Washington.
Megan Othus2 SWOG Statistical Center , Fred Hutch, Seattle, Washington.
Frederick R Appelbaum1 Clinical Research Division , Fred Hutch, Seattle, Washington.
Thomas R Chauncey1 Clinical Research Division , Fred Hutch, Seattle, Washington.
I-Ming L Chen5 Department of Pathology, University of New Mexico , UNM Comprehensive Cancer Center, Albuquerque, New Mexico .
Harry P Erba6 Division of Hematology and Oncology, University of Alabama at Birmingham , Birmingham, Alabama.
John E Godwin7 Providence Cancer Center, Earle A. Chiles Research Institute , Portland, Oregon.
Min Fang8 Departments of Laboratory Medicine and Pathology, University of Washington , Seattle, Washington.
Kenneth J Kopecky2 SWOG Statistical Center , Fred Hutch, Seattle, Washington.
Alan F List9 Malignant Hematology, H. Lee Moffitt Cancer Center & Research Institute , Tampa, Florida.
Galina L Pogosov1 Clinical Research Division , Fred Hutch, Seattle, Washington.
Jerald P Radich1 Clinical Research Division , Fred Hutch, Seattle, Washington.
Cheryl L Willman5 Department of Pathology, University of New Mexico , UNM Comprehensive Cancer Center, Albuquerque, New Mexico .
Brent L Wood8 Departments of Laboratory Medicine and Pathology, University of Washington , Seattle, Washington.
Soheil Meshinchi1 Clinical Research Division , Fred Hutch, Seattle, Washington.
Derek L Stirewalt1 Clinical Research Division , Fred Hutch, Seattle, Washington.
Fred Hutch Cancer Center · USUniversity of Washington · USMoffitt Cancer Center · USProvidence Portland Medical Center · USUniversity of Alabama at Birmingham · US

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
SWOG Statistics & Data Management Center complex - extension supplement for GY06U10CA180819 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Catherine M. Tangen · 2014 to 2026
$115.2M
Tumor Banking for the Southwest Oncology GroupU24CA114748 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BLANKE, CHARLES D. · 2005 to 2013
$10.3M
ITSC for Leukemia: Novel Molecular Strategies for NCTN: "Individualized" TherapieU10CA180861 · NCI · OHIO STATE UNIVERSITY · PI BLOOMFIELD, CLARA D, MARCUCCI, GUIDO · 2014 to 2018
$3.4M
Novel Biomarkers to Risk-Stratify AML Patients with NPM1^Pos/FLT3-IT^Neg GenotypeR01CA190661 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STIREWALT, DEREK L · 2016 to 2020
$2.7M
Discovery and Optimization of AML Prognostic BiomarkersR01CA160872 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STIREWALT, DEREK L · 2012 to 2016
$2.5M
NCI NIH HHS R01 CA160872NCI NIH HHS R01 CA190661NCI NIH HHS U10 CA180819NCI NIH HHS U10 CA180861NCI NIH HHS U10 CA180888NCI NIH HHS U24 CA114748
6 · The paper itself

Abstract

introductionCurrent prognostic models for acute myeloid leukemia (AML) are inconsistent at predicting clinical outcomes for individual patients. Variability in the quality of specimens utilized for biomarker discovery and validation may contribute to this prognostic inconsistency.

methodsWe evaluated the impact of sample heterogeneity on prognostic biomarkers and methods to mitigate any adverse effects of this heterogeneity in 240 cryopreserved bone marrow and peripheral blood specimens from AML patients enrolled on SWOG (Southwest Oncology Group) trials.

resultsCryopreserved samples displayed a broad range in viability (37% with viabilities ≤60%) and nonleukemic cell contamination (13% with lymphocyte percentages >20%). Specimen viability was impacted by transport time, AML immunophenotype, and, potentially, patients' age. The viability and cellular heterogeneity in unsorted samples significantly altered biomarker results. Enriching for viable AML blasts improved the RNA quality from specimens with poor viability and refined results for both DNA and RNA biomarkers. For example, FLT3-ITD allelic ratio, which is currently utilized to risk-stratify AML patients, was on average 1.49-fold higher in the viable AML blasts than in the unsorted specimens.

conclusionTo our knowledge, this is the first study to provide evidence that using cryopreserved specimens can introduce uncontrollable variables that may impact biomarker results and enrichment for viable AML blasts may mitigate this impact.

Indexed as

Biological Specimen BanksBiomarkersCell SurvivalCryopreservationDNA, NeoplasmFemaleHumansImmunophenotypingLeukemia, Myeloid, AcuteMaleRNA, NeoplasmSpecimen HandlingTumor Cells, CulturedBiomarkersDNA, NeoplasmRNA, NeoplasmAMLbiomarkersbiorepositorycryopreservationflow cytometryimmunophenotype

Identifiers

PMID29172682
PMCPMC5808392
OpenAlexW2770045941

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.