Evidence map›Paper›PMID 32614991›Full record

ArticleGenes, chromosomes & cancer2020

Generation of pralatrexate resistant T-cell lymphoma lines reveals two patterns of acquired drug resistance that is overcome with epigenetic modifiers.

Luigi Scotto, Cristina Kinahan, Beatrice Casadei, Michael Mangone, Eugene Douglass, Vundavalli V Murty, Enrica Marchi, Helen Ma, Changchun George, Francesca Montanari and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Frontiers in microbiology · 2025
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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

12 authors at 1 institution in 1 country.

Luigi ScottoCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0003-1452-2443
Cristina KinahanCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Beatrice CasadeiCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Michael MangoneCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Eugene DouglassDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.
Vundavalli V MurtyDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, New York, USA.ORCID 0000-0003-1603-6414
Enrica MarchiCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Helen MaCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Changchun GeorgeCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Francesca MontanariCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Andrea CalifanoDepartment of Systems Biology, Columbia University Medical Center, New York, New York, USA.
Owen A O'ConnorCenter for Lymphoid Malignancies, Columbia University Medical Center, New York, New York, USA.
Columbia University Irving Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

While pralatrexate (PDX) has been successfully developed for the treatment of T-cell lymphoma, the mechanistic basis for its T-cell selectivity and acquired resistance remains elusive. In an effort to potentially identify synergistic combinations that might circumnavigate or delay acquired PDX resistance, we generated resistant cells lines over a broad concentration range. PDX-resistant cell lines H9-12 and H9-200 were developed, each exhibiting an IC50 of 35 and over 1000 nM, respectively. These lines were established in vitro from parental H9 cells. Expression analysis of the proteins known to be important determinants of antifolate pharmacology revealed increase expression of dihydrofolate reductase (DHFR) due to gene amplification, and reduced folate carrier1 downregulation, as the putative mechanisms of resistance in H9-12 and H9-200 cells. Cross resistance was only seen with methotrexate but not with romidepsin, azacitidine (AZA), decitabine, gemcitabine, doxorubicin, or bortezomib. Resistance to PDX was reversed by pretreatment with hypomethylating agents in a concentration-dependent fashion. Comparison of gene expression profiles of parental and resistant cell lines confirmed markedly different patterns of gene expression, and identified the dual specificity phosphatase four (DUSP4) as one of the molecular target of PDX activity. Reduced STAT5 phosphorylation following exposure to PDX was observed in the H9 but not in the H9-12 and H9-200 cells. These data suggest that combination with hypomethylating agents could be potent, and that DUSP4 and STAT5 could represent putative biomarkers of PDX activity.

Indexed as

Epigenesis, GeneticAminopterinAntineoplastic AgentsCell Line, TumorDNA MethylationDrug Resistance, NeoplasmDual-Specificity PhosphatasesHumansInhibitory Concentration 50Lymphoma, T-CellMitogen-Activated Protein Kinase PhosphatasesSTAT5 Transcription Factor10-propargyl-10-deazaaminopterinAminopterinAntineoplastic AgentsDual-Specificity PhosphatasesDUSP4 protein, humanMitogen-Activated Protein Kinase PhosphatasesSTAT5 Transcription FactorpralatrexateresistanceT-cell lymphoma

Identifiers

PMID32614991
PMCPMC7540375
OpenAlexW3038280054

What OpenQuestion holds

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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.