Evidence map›Paper›PMID 33227136›Full record

ArticleThe Journal of experimental medicine2020

Adoptive cell therapy: Living drugs against cancer.

Tamara Laskowski, Katayoun Rezvani

Abstract read
In one paragraph

Article in The Journal of experimental medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Oncolytic viruses: advanced strategies in cancer therapy.Signal transduction and targeted therapy · 2026
    Review
  4. Advances in nucleic acid-based cancer vaccines.Journal of biomedical science · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Evolving therapeutic landscape of advanced hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2023
    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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.

Tamara LaskowskiDepartment of Stem Cell Transplant and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX.
Katayoun RezvaniDepartment of Stem Cell Transplant and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KONOPLEVA, MARINA Y · 2003 to 2023
$43.7M
PR1-specific CB T cells for Patients with Myeloid MalignanciesP01CA148600 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KAUR, INDRESHPAL · 2011 to 2022
$24.4M
Off-the-shelf engineered NK cells for the treatment of AMLR01CA211044 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI REZVANI, KATY · 2017 to 2021
$2.0M
NCI NIH HHS P01 CA148600NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA100632NCI NIH HHS R01 CA211044
6 · The paper itself

Abstract

Immunotherapy has made a profound impact in the treatment of cancer in the last decade. Insights from the study of the intricate relationships between immune cells and cancer have led to the clinical development of strategies that redirect the power of the immune system to target and eliminate cancer. Today, immunotherapy represents a rapidly expanding and transformative force comprising multiple modalities.

Indexed as

Immunotherapy, AdoptiveAnimalsBiomedical TechnologyHumansNeoplasmsPrecision Medicine

Identifiers

PMID33227136
PMCPMC7686916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.