Evidence map›Paper›PMID 27835864›Full record

ArticleOncotarget2016

Senescent stromal cell-induced divergence and therapeutic resistance in T cell acute lymphoblastic leukemia/lymphoma.

David M Habiel, Nicolas Krepostman, Michael Lilly, Karen Cavassani, Ana Lucia Coelho, Takehiko Shibata, Kojo Elenitoba-Johnson, Cory M Hogaboam

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
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

8 authors at 4 institutions in 1 country.

David M HabielDivision of Pulmonary and Critical Care Medicine, Department of Medicine & Women's Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Nicolas KrepostmanDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Michael LillyDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Karen CavassaniSOCCI Cancer Institute, Urologic Oncology Research Program, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Ana Lucia CoelhoDivision of Pulmonary and Critical Care Medicine, Department of Medicine & Women's Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
Takehiko ShibataDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Kojo Elenitoba-JohnsonDepartment of Pathology and Laboratory medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Cory M HogaboamDivision of Pulmonary and Critical Care Medicine, Department of Medicine & Women's Guild Lung Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
University of Michigan–Ann Arbor · USCedars-Sinai Medical Center · USLung Institute · USUniversity of Pennsylvania · US

Funding

CTRIP: Molecular phenotypes of rapidly progressive idiopathic pulmonary fibrosisRC2HL101740 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLAHERTY, KEVIN R, MARTINEZ, FERNANDO J · 2009 to 2010
$7.9M
Lung Immunopathology Training Stipend SupplementT32HL007517 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUKACS, NICHOLAS W · 1985 to 2022
$6.1M
Innate DNA sensing in rapidly progressing IPFR01HL123899 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI HOGABOAM, CORY M · 2015 to 2018
$2.0M
NHLBI NIH HHS R01 HL123899NHLBI NIH HHS RC2 HL101740NHLBI NIH HHS T32 HL007517
6 · The paper itself

Abstract

T cell Acute Lymphoblastic Leukemia/Lymphoma (T-ALL/LBL) is a precursor T cell leukemia/lymphoma that represents approximately 15% of all childhood and 25% of adult acute lymphoblastic leukemia. Although a high cure rate is observed in children, therapy resistance is often observed in adults and mechanisms leading to this resistance remain elusive. Utilizing public gene expression datasets, a fibrotic signature was detected in T-LBL but not T-ALL biopsies. Further, using a T-ALL cell line, CCRF-CEM (CEM) cells, we show that CEM cells induce pulmonary remodeling in immunocompromised mice, suggesting potential interaction between these cells and lung fibroblasts. Co-culture studies suggested that fibroblasts-induced phenotypic and genotypic divergence in co-cultured CEM cells leading to diminished therapeutic responses in vitro. Senescent rather than proliferating stromal cells induced these effects in CEM cells, due, in part, to the enhanced production of oxidative radicals and exosomes containing miRNAs targeting BRCA1 and components of the Mismatch Repair pathway (MMR). Collectively, our studies demonstrate that there may be bidirectional interaction between leukemic cells and stroma, where leukemic cells induce stromal development in vivo and senescent stromal cells generates genomic alterations in the leukemic cells rendering them therapeutic resistant. Thus, targeting senescent stroma might prove beneficial in T-ALL/LBL patients.

Indexed as

Drug Resistance, NeoplasmAnimalsAntineoplastic AgentsBRCA1 ProteinCancer-Associated FibroblastsCell CommunicationCell Line, TumorCell ProliferationCellular SenescenceChild, PreschoolCoculture TechniquesDNA Mismatch RepairExosomesFemaleGenotypeHumansAntineoplastic AgentsBRCA1 ProteinBRCA1 protein, humanMicroRNAscancer microenvironmentoncogenesissenescent fibroblastsT cell acute lymphoblastic leukemiaT cell lymphoblastic lymphoma

Identifiers

PMID27835864
PMCPMC5347785
OpenAlexW2554094031

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.