Evidence map›Paper›PMID 32825706›Full record

ArticleCancers2020

Novel Caffeic Acid Phenethyl Ester-Mortalin Antibody Nanoparticles Offer Enhanced Selective Cytotoxicity to Cancer Cells.

Jia Wang, Priyanshu Bhargava, Yue Yu, Anissa Nofita Sari, Huayue Zhang, Noriyuki Ishii, Kangmin Yan, Zhenya Zhang, Yoshiyuki Ishida, Keiji Terao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Why is Mortalin a Potential Therapeutic Target for Cancer?Frontiers in cell and developmental biology · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. Review
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  17. 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

13 authors at 3 institutions in 1 country.

Jia WangAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Priyanshu BhargavaAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Yue YuAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.ORCID 0000-0002-7620-6078
Anissa Nofita SariAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Huayue ZhangAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Noriyuki IshiiAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.ORCID 0000-0002-4120-6203
Kangmin YanAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Zhenya ZhangGraduate School of Life & Environmental Sciences, University of Tsukuba, Ibaraki 305-8575, Japan.
Yoshiyuki IshidaCycloChem Co., Ltd., 7-4-5 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan.
Keiji TeraoCycloChem Co., Ltd., 7-4-5 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan.
Sunil C KaulAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.
Eijiro MiyakoSchool of Materials Science, Japan Advanced Institute of Science & Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan.ORCID 0000-0002-1157-6174
Renu WadhwaAIST-INDIA DAILAB, DBT-AIST International Center for Translational & Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Ibaraki 305-8565, Japan.ORCID 0000-0001-8248-5192
National Institute of Advanced Industrial Science and Technology · JPUniversity of Tsukuba · JPJapan Advanced Institute of Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caffeic acid phenethyl ester (CAPE) is a key bioactive ingredient of honeybee propolis and is claimed to have anticancer activity. Since mortalin, a hsp70 chaperone, is enriched in a cancerous cell surface, we recruited a unique cell internalizing anti-mortalin antibody (MotAb) to generate mortalin-targeting CAPE nanoparticles (CAPE-MotAb). Biophysical and biomolecular analyses revealed enhanced anticancer activity of CAPE-MotAb both in in vitro and in vivo assays. We demonstrate that CAPE-MotAb cause a stronger dose-dependent growth arrest/apoptosis of cancer cells through the downregulation of Cyclin D1-CDK4, phospho-Rb, PARP-1, and anti-apoptotic protein Bcl2. Concomitantly, a significant increase in the expression of p53, p21

Indexed as

cancer therapyCAPEenhanced drug deliveryinternalizing antibodymortalinnanoparticles

Identifiers

PMID32825706
PMCPMC7564736
OpenAlexW3081285438

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.