Evidence map›Paper›PMID 29225605›Full record

ArticleFrontiers in immunology2017

The State of Cellular Adoptive Immunotherapy for Neuroblastoma and Other Pediatric Solid Tumors.

Thanh-Phuong Le, To-Ha Thai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. TargetingFrontiers in immunology · 2021
    Article
  5. Review
  6. 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

2 authors at 1 institution in 1 country.

Thanh-Phuong LeDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
To-Ha ThaiDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Harvard University · US

Funding

Regulation of chromatin modifications by miRNAs to control cytokine expressionR56AI099012 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI THAI, TO-HA · 2012 to 2012
$435k
Cbx-3/HP-1gamma deficiency confers anti-tumor immunityR21CA198263 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI THAI, TO-HA · 2016 to 2017
$414k
NCI NIH HHS R21 CA198263NIAID NIH HHS R56 AI099012
6 · The paper itself

Abstract

Research on adult cancer immunotherapy is proceeding at a rapid pace resulting in an impressive success rate exemplified by a few high profile cases. However, this momentum is not readily extended to pediatric immunotherapy, and it is not for lack of trying. Though reasons for the slower advance are not apparent, some issues can be raised. Pediatric cancer patients represent a distinct demographic group whose immune system is inherently different from that of mature adults. Treating pediatric patients with immunotherapy designed for adults may not yield objective clinical responses. Here, we will present an update on adoptive T-cell and natural killer-cell therapies for neuroblastoma and other childhood solid tumors. Additionally, we will delineate key differences between human fetal/neonatal and adult immune systems. We hope this will generate interests leading to the discussion of potential future directions for improving adoptive cancer immunotherapy for children.

Indexed as

adoptive T-cell therapyCbx3/HP1γCD4+ regulatory T cellseffector CD8+ T cellsimmune cell-based therapynatural killer cellspediatric solid tumorsrecurrent/refractory/relapsed neuroblastoma

Identifiers

PMID29225605
PMCPMC5705544
OpenAlexW2769072874

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.