Evidence map›Paper›PMID 32086991›Full record

ArticleCancer science2020

Targeting claudin-4 enhances chemosensitivity in breast cancer.

Yi Luo, Shingo Kishi, Takamitsu Sasaki, Hitoshi Ohmori, Rina Fujiwara-Tani, Shiori Mori, Kei Goto, Yukiko Nishiguchi, Takuya Mori, Isao Kawahara and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Claudins in Cancer: A Current and Future Therapeutic Target.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Claudin-4: A New Molecular Target for Epithelial Cancer Therapy.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Article
  18. Article
  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

12 authors at 3 institutions in 2 countries.

Yi LuoDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Shingo KishiDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Takamitsu SasakiDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Hitoshi OhmoriDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Rina Fujiwara-TaniDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Shiori MoriDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Kei GotoDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Yukiko NishiguchiDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Takuya MoriDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Isao KawaharaDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.
Masuo KondohDrug Innovation Center, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Japan.
Hiroki KuniyasuDepartment of Molecular Pathology, Nara Medical University, Nara, Japan.ORCID https://orcid.org/0000-0003-2298-8825
Nara Medical University · JPNantong University · CNThe University of Osaka · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology 16H05164Ministry of Education, Culture, Sports, Science and Technology 17K19923National Natural Science Foundation of China 81702723Natural Science Foundation of Jiangsu Education Department Project 17KJB320010
6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) is characterized by highly aggressive phenotype, limited treatment options and a poor prognosis. In the present study, we examined the therapeutic effect of anti-claudin (CLDN)-4 extracellular domain antibody, 4D3, on TNBC. When the expression of CLDN4 and CLDN1 in invasive ductal carcinoma (IDC) was examined in 114 IDC (78 cases from 2004 to 2009 in a single center and 36 cases of tissues array), CLDN1 had lower expression than CLDN4 and was correlated with histological grade. In contrast, expression of CLDN4 was correlated with histological grade, receptor subtype, and stage. CLDN4 expression in human IDC cell lines MCF-7 (luminal subtype) and MDA-468 (TNBC) was at the same level. In both cells, paclitaxel (PTX)-induced growth suppression was enhanced by 4D3. Furthermore, 4D3 increased both intracellular PTX concentration (in both cells) and apoptosis. In the mouse model, 4D3 promoted the antitumor effect of PTX on subcutaneous tumors and reduced lung metastasis. The combination of PTX and 4D3 reduced M2 macrophages and mesenchymal stem cells in the tumor. 4D3 also reduced stemness of the tumors and increased the intratumoral pH. Moreover, concurrent treatment with 4D3, PTX and tamoxifen, or with PTX and tamoxifen in MDA-468 also showed the same level of antitumor activity and survival as MCF-7. Furthermore, in a bone metastasis model, combination of PTX and bisphosphonate with 4D3 promoted tumor growth in both cells. Thus, CLDN4 targeting of the antibody facilitated existing therapeutic effects.

Indexed as

AnimalsAntibodiesAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCarcinoma, Ductal, BreastCell Line, TumorCell ProliferationClaudin-1Claudin-4Drug SynergismFemaleHumansMCF-7 CellsMiceMice, Inbred BALB CMice, NudeAntibodiesClaudin-1Claudin-4CLDN1 protein, humanCLDN4 protein, humanPaclitaxelTamoxifenbreast cancerchemotherapyclaudinmicroenvironmenttight junction

Identifiers

PMID32086991
PMCPMC7226188
OpenAlexW3007536202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.