Evidence map›Paper›PMID 33806273›Full record

ReviewCells2021

Targeting the Hypoxic and Acidic Tumor Microenvironment with pH-Sensitive Peptides.

Nayanthara U Dharmaratne, Alanna R Kaplan, Peter M Glazer

Abstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Neuropeptide Y as a Neuro-Immune Checkpoint in Cancer.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
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  10. Tissue-seeking dyes for in vivo applications.Smart molecules : open access · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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.

Nayanthara U DharmaratneDepartment of Therapeutic Radiology, Yale University, New Haven, CT 06520, USA.
Alanna R KaplanDepartment of Therapeutic Radiology, Yale University, New Haven, CT 06520, USA.
Peter M GlazerDepartment of Therapeutic Radiology, Yale University, New Haven, CT 06520, USA.ORCID 0000-0003-4525-5560

Funding

Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
Targeting DNA Repair for Cancer Therapy.R35CA197574 · NCI · YALE UNIVERSITY · PI PETER M GLAZER · 2017 to 2026
$8.6M
Tumor-selective inhibition of DNA repair using pHLIPF30CA221065 · NCI · YALE UNIVERSITY · PI KAPLAN, ALANNA · 2018 to 2020
$105k
NCI NIH HHS 5F30CA221065-03NCI NIH HHS 5R35CA197574-04NCI NIH HHS R35 CA197574NIGMS NIH HHS 1T32GM136651-01
6 · The paper itself

Abstract

The delivery of cancer therapeutics can be limited by pharmacological issues such as poor bioavailability and high toxicity to healthy tissue. pH-low insertion peptides (pHLIPs) represent a promising tool to overcome these limitations. pHLIPs allow for the selective delivery of agents to tumors on the basis of pH, taking advantage of the acidity of the hypoxic tumor microenvironment. This review article highlights the various applications in which pHLIPs have been utilized for targeting and treating diseases in hypoxic environments, including delivery of small molecule inhibitors, toxins, nucleic acid analogs, fluorescent dyes, and nanoparticles.

Indexed as

HumansHydrogen-Ion ConcentrationNanoparticlesPeptidesTumor MicroenvironmentPeptidesacidityhypoxiaimagingnanoparticlespeptide nucleic acidspHLIPtoxinstumor targeting

Identifiers

PMID33806273
PMCPMC8000199

What OpenQuestion holds

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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.