Evidence map›Paper›PMID 35392227›Full record

ReviewFrontiers in oncology2022

pH-Responsive Polymer Nanomaterials for Tumor Therapy.

Shunli Chu, Xiaolu Shi, Ye Tian, Fengxiang Gao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
16.5field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 237 citations in OpenAlex.

  1. Review
  2. Recent progress in small molecules targeting the acidic tumor microenvironment.Journal of enzyme inhibition and medicinal chemistry · 2026
    Review
  3. Article
  4. Closing the Loop: High-Precision 3D Photofabrication in Living Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Hyaluronic acid-RSC pharmaceutics · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Microbial medicines: Unlocking the therapeutic potential of the microbiome in cancer treatment.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  20. Review

41 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Shunli ChuDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Xiaolu ShiDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Ye TianDepartment of Implantology, Hospital of Stomatology, Jilin University, Changchun, China.
Fengxiang GaoChangchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China.
Jilin University · CNChangchun Institute of Applied Chemistry · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of the tumor microenvironment presents significant challenges to cancer therapy, while providing opportunities for targeted drug delivery. Using characteristic signals of the tumor microenvironment, various stimuli-responsive drug delivery systems can be constructed for targeted drug delivery to tumor sites. Among these, the pH is frequently utilized, owing to the pH of the tumor microenvironment being lower than that of blood and healthy tissues. pH-responsive polymer carriers can improve the efficiency of drug delivery

Indexed as

drug deliverynanomaterialspH-responsive polymertumortumor microenvironment

Identifiers

PMID35392227
PMCPMC8980858
OpenAlexW4221030462

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.