Evidence map›Paper›PMID 30788426›Full record

ArticleMolecular therapy oncolytics2019

Efficient Prostate Cancer Therapy with Tissue-Specific Homing Peptides Identified by Advanced Phage Display Technology.

Akinori Wada, Tomoya Terashima, Susumu Kageyama, Tetsuya Yoshida, Mitsuhiro Narita, Akihiro Kawauchi, Hideto Kojima

Abstract read
In one paragraph

Article in Molecular therapy oncolytics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Pro-inflammatory microglia-targeted peptide therapy ameliorates neonatal hypoxic-ischemic encephalopathy in mice.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  2. Biological Activity of Natural and Synthetic Peptides as Anticancer Agents.International journal of molecular sciences · 2024
    Review
  3. Article
  4. Peptides Targeting RNA mChemMedChem · 2023
    Article
  5. Review
  6. Article
  7. Paving the way for small-molecule drug discovery.American journal of translational research · 2021
    Review
  8. Application of Phage-Displayed Peptides in Tumor Imaging Diagnosis and Targeting Therapy.International journal of peptide research and therapeutics · 2021
    Review
  9. Phage Display to Augment Biomaterial Function.International journal of molecular sciences · 2020
    Review
  10. Article
  11. Evolving a Peptide: Library Platforms and Diversification Strategies.International journal of molecular sciences · 2019
    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

7 authors.

Akinori WadaDepartment of Urology, Shiga University of Medical Science, Shiga, Japan.
Tomoya TerashimaDepartment of Stem Cell Biology and Regenerative Medicine, Shiga University of Medical Science, Shiga, Japan.
Susumu KageyamaDepartment of Urology, Shiga University of Medical Science, Shiga, Japan.
Tetsuya YoshidaDepartment of Urology, Shiga University of Medical Science, Shiga, Japan.
Mitsuhiro NaritaDepartment of Urology, Shiga University of Medical Science, Shiga, Japan.
Akihiro KawauchiDepartment of Urology, Shiga University of Medical Science, Shiga, Japan.
Hideto KojimaDepartment of Stem Cell Biology and Regenerative Medicine, Shiga University of Medical Science, Shiga, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective targeting of drugs to tumor cells is a key goal in oncology. Here, we performed an

Indexed as

drug delivery systemhoming peptidenegative selectionphage displayprostate cancertargeting

Identifiers

PMID30788426
PMCPMC6369249

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.