Evidence map›Paper›PMID 32230901›Full record

ArticleInternational journal of molecular sciences2020

Calcium Channels as Novel Therapeutic Targets for Ovarian Cancer Stem Cells.

Heejin Lee, Jun Woo Kim, Dae Kyung Kim, Dong Kyu Choi, Seul Lee, Ji Hoon Yu, Oh-Bin Kwon, Jungsul Lee, Dong-Seok Lee, Jae Ho Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

44 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Calcium channels as pharmacological targets for cancer therapy.Clinical and experimental medicine · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. CaBiophysics reports · 2024
    Article
  16. Review
  17. The L-type calcium channel CaV1.3: A potential target for cancer therapy.Journal of cellular and molecular medicine · 2024
    Review
  18. Advances in ovarian tumor stem cells and therapy.Cell biochemistry and biophysics · 2024
    Review
  19. Review
  20. 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

11 authors at 2 institutions in 1 country.

Heejin LeeNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.ORCID 0000-0001-8903-8520
Jun Woo KimNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.
Dae Kyung KimDepartment of Physiology, School of Medicine, Pusan National University, Yangsan 50612, Korea.
Dong Kyu ChoiNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.
Seul LeeNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.
Ji Hoon YuNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.
Oh-Bin KwonNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.
Jungsul Lee3 billion Inc., Seocho-gu, Seoul 06621, Korea.
Dong-Seok LeeSchool of Life Sciences and Biotechnology, BK21 Plus KNU Creative BioResearch Group, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0002-7106-1615
Jae Ho KimDepartment of Physiology, School of Medicine, Pusan National University, Yangsan 50612, Korea.
Sang-Hyun MinNew Drug Development Center, DGMIF, 80 Chumbok-ro, Dong-gu, Daegu 41061, Korea.
Kyungpook National University · KRDaegu-Gyeongbuk Medical Innovation Foundation · KR

Funding

National Research Foundation of Korea 2015M3A9C7030181
6 · The paper itself

Abstract

Drug resistance in epithelial ovarian cancer (EOC) is reportedly attributed to the existence of cancer stem cells (CSC), because in most cancers, CSCs still remain after chemotherapy. To overcome this limitation, novel therapeutic strategies are required to prevent cancer recurrence and chemotherapy-resistant cancers by targeting cancer stem cells (CSCs). We screened an FDA-approved compound library and found four voltage-gated calcium channel blockers (manidipine, lacidipine, benidipine, and lomerizine) that target ovarian CSCs. Four calcium channel blockers (CCBs) decreased sphere formation, viability, and proliferation, and induced apoptosis in ovarian CSCs. CCBs destroyed stemness and inhibited the AKT and ERK signaling pathway in ovarian CSCs. Among calcium channel subunit genes, three L- and T-type calcium channel genes were overexpressed in ovarian CSCs, and downregulation of calcium channel genes reduced the stem-cell-like properties of ovarian CSCs. Expressions of these three genes are negatively correlated with the survival rate of patient groups. In combination therapy with cisplatin, synergistic effect was shown in inhibiting the viability and proliferation of ovarian CSCs. Moreover, combinatorial usage of manidipine and paclitaxel showed enhanced effect in ovarian CSCs xenograft mouse models. Our results suggested that four CCBs may be potential therapeutic drugs for preventing ovarian cancer recurrence.

Indexed as

AnimalsAntihypertensive AgentsApoptosisCalcium Channel BlockersCalcium ChannelsCarcinoma, Ovarian EpithelialCell CycleCell Line, TumorCell ProliferationCell SurvivalCisplatinDihydropyridinesDrug RepositioningFemaleGene Expression Regulation, NeoplasticHumansAntihypertensive AgentsbenidipineCalcium Channel BlockersCalcium ChannelsCisplatinDihydropyridineslacidipinelomerizinemanidipineNitrobenzenesPaclitaxelPiperazinescalcium channel blockercancer microenvironmentcancer stem cellsdrug repositioningstemnesstargeted treatment

Identifiers

PMID32230901
PMCPMC7177693
OpenAlexW3013211556

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.