ArticleVirus research2014
Success of measles virotherapy in ATL depends on type I interferon secretion and responsiveness.
Article in Virus research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Therapeutic potential of oncolytic viruses in hematopoietic malignancies: from preclinical insights to clinical realities.Frontiers in microbiology · 2026Review
- [Advances in application of Jurkat cell model in research on infectious diseases].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2018Review
- Potential and clinical translation of oncolytic measles viruses.Expert opinion on biological therapy · 2017Review
- Animals Models of Human T Cell Leukemia Virus Type I Leukemogenesis.ILAR journal · 2016Article
- Retargeting Oncolytic Vesicular Stomatitis Virus to Human T-Cell Lymphotropic Virus Type 1-Associated Adult T-Cell Leukemia.Journal of virology · 2015Article
- [Advances in measles virus for cancer therapy].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Adult T cell leukemia/lymphoma (ATL) is a highly aggressive CD4+/CD25+ T-cell malignancy caused by human T cell lymphotropic virus type 1 (HTLV-1). Previous studies in the MET-1 cell/NOD/SCID mouse model of ATL demonstrated that MET-1 cells are very susceptible to measles virus (MV) oncolytic therapy. To further evaluate the potential of MV therapy in ATL, the susceptibility of several HTLV-1 transformed CD4+ T cell lines (MT-1, MT-2, MT-4 and C8166-45) as well as HTLV-1 negative CD4+ T cell lines (Jurkat and CCRF-CEM) to infection with MV was tested in vitro. All cell lines were permissive to MV infection and subsequent cell death, except MT-1 and CCRF-CEM cells which were susceptible and permissive to MV infection, but resistant to cell death. The resistance to MV-mediated cell death was associated with IFNβ produced by MT-1 and CCRF-CEM cells. Inhibition of IFNβ rendered MT-1 and CCRF-CEM cells susceptible to MV-mediated cell death. Cells susceptible to MV-induced cell death did not produce nor were responsive to IFNβ. Upon infection with Newcastle Disease Virus (NDV), MT-1 and CCRF-CEM but not the susceptible cell lines up-regulated pSTAT-2. In vivo, treatment of tumors induced by MT-1 cell lines which produce IFNβ demonstrated only small increases in mean survival time, while only two treatments prolonged mean survival time in mice with MET-1 tumors deficient in type I interferon production. These results indicate that type I interferon production is closely linked with the inability of tumor cells to respond to type I interferon. Screening of tumor cells for type I interferon could be a useful strategy to select candidate patients for MV virotherapy.
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Registered trials
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.