Evidence map›Paper›PMID 30837696›Full record

ReviewNature reviews. Cancer2019

Engineering advanced cancer therapies with synthetic biology.

Ming-Ru Wu, Barbara Jusiak, Timothy K Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Toward development of soil-derivedBiodesign research · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Microwave-Activated Bacterial Biorobot for Multimodal Cancer Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. 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

3 authors.

Ming-Ru WuSynthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Barbara JusiakSynthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Timothy K LuSynthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA. timlu@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineered immune-cell-based cancer therapies have demonstrated robust efficacy in B cell malignancies, but challenges such as the lack of ideal targetable tumour antigens, tumour-mediated immunosuppression and severe toxicity still hinder their therapeutic efficacy and broad applicability. Synthetic biology can be used to overcome these challenges and create more robust, effective adaptive therapies that enable the specific targeting of cancer cells while sparing healthy cells. In this Progress article, we review recently developed gene circuit therapies for cancer using immune cells, nucleic acids and bacteria as chassis. We conclude by discussing outstanding challenges and future directions for realizing these gene circuit therapies in the clinic.

Indexed as

AnimalsAntigens, NeoplasmB-LymphocytesCell EngineeringGene Regulatory NetworksHumansImmunotherapyNeoplasmsNucleic AcidsSynthetic BiologyAntigens, NeoplasmNucleic Acids

Identifiers

What OpenQuestion holds

Textmetadata
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.