Evidence map›Paper›PMID 41551984›Full record

ArticleInternational journal of pharmaceutics: X2026

Can therapeutic potency of a cancer nanomedicine be predicted by pain-related behavioral test in subcutaneous tumor model?

Ye Tao, Xiaohui Cai, Zhongping Chen

Abstract read
In one paragraph

Article in International journal of pharmaceutics: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Ye TaoMedical School, Nantong University, Nantong, PR China.
Xiaohui CaiDepartment of Hematology, The Third Affiliated Hospital of Nanjing Medical University, Changzhou, PR China.
Zhongping ChenInstitute of Special Environmental Medicine, Nantong University, Nantong, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer nanomedicines have shown great potential in fighting against cancer. While the development of cancer nanomedicines is advancing rapidly, preclinical assessment approaches for their therapeutic potency have stagnated. In view of high prevalence of cancer pain in cancer patients, we aim to determine whether therapeutic potency of a cancer nanomedicine can be predicted by pain-related behavioral test in subcutaneous tumor model, the simplest and most widely used tumor model in oncology. Behavioral profiles reveal that subcutaneous tumor, probably irrespective of tumor type, presents with spontaneous pain (open field test) and evoked pain (von Frey test for mechanical allodynia; Hargreaves test, hot plate test, and tail flick test for thermal hyperalgesia; cold plate test and acetone drop test for thermal allodynia). Using doxorubicin (DOX)-loaded lipid nanoparticles (LNPs) (LNPs/DOX) as a representative cancer nanomedicine and ropivacaine (ROP)-loaded LNPs (LNPs/ROP) as a pain nanomedicine, it is validated that inhibiting subcutaneous tumor growth can relieve cancer pain, while delaying the growth cannot, despite a significant difference found compared with non-treatment group. Moreover, behavioral results in all the tests are consistent and von Frey test is suggested the most sensitive among them. It is strongly suggested that pain-related behavioral test can serve as a powerful tool to predict therapeutic potency of a cancer nanomedicine

Indexed as

Behavioral testCancer painLipid nanoparticlesNanomedicineSubcutaneous tumorTherapeutic evaluation

Identifiers

PMID41551984
PMCPMC12808569

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Registered trials

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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.