Evidence map›Paper›PMID 27829217›Full record

ArticleOncotarget2016

Suppression of the metastatic spread of breast cancer by DN10764 (AZD7762)-mediated inhibition of AXL signaling.

Joon-Suk Park, ChuHee Lee, Hyun-Kyoung Kim, Dayea Kim, Jung Beom Son, Eunhwa Ko, Joong-Heui Cho, Nam-Doo Kim, Hong-Yan Nan, Choong-Yong Kim and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Cancer-Associated Fibroblasts in the Breast Tumor Microenvironment.Journal of mammary gland biology and neoplasia · 2021
    Review
  6. Review
  7. Article
  8. 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 2 institutions in 1 country.

Joon-Suk ParkLaboratory Animal Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
ChuHee LeeDepartment of Biochemistry and Molecular Biology, School of Medicine, Yeungnam University, Daegu, South Korea.
Hyun-Kyoung KimNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Dayea KimNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Jung Beom SonNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Eunhwa KoNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Joong-Heui ChoNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Nam-Doo KimNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Hong-Yan NanDepartment of Biochemistry and Molecular Biology, School of Medicine, Yeungnam University, Daegu, South Korea.
Choong-Yong KimLaboratory Animal Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Sukkyoon YoonNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Sun-Hwa LeeNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Hwan Geun ChoiNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Daegu-Gyeongbuk Medical Innovation Foundation · KRYeungnam University · KR

Funding

Pharmaco Response Signatures and Disease MechanismU54HL127365 · NHLBI · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2014 to 2019
$13.1M
Pharmaco Response Signatures and Disease MechanismU54HG006097 · NHGRI · HARVARD MEDICAL SCHOOL · PI MITCHISON, TIMOTHY J, SORGER, PETER KARL · 2010 to 2013
$9.7M
NHGRI NIH HHS U54 HG006097NHLBI NIH HHS U54 HL127365
6 · The paper itself

Abstract

Breast cancer is the most common malignant disease occurring in women and represents a substantial proportion of the global cancer burden. In these patients, metastasis but not the primary tumor is the main cause of breast cancer-related deaths. Here, we report the novel finding that DN10764 (AZD7762, a selective inhibitor of checkpoint kinases 1 and 2) can suppress breast cancer metastasis. In breast cancer cells, DN10764 inhibited cell proliferation and GAS6-mediated AXL signaling, consequently resulting in suppressed migration and invasion. In addition, DN10764 induced caspase 3/7-mediated apoptosis in breast cancer cells and inhibited tube formation of human umbilical vein endothelial cells. Finally, DN10764 significantly suppressed the tumor growth and metastasis of breast cancer cells in in vivo metastasis models. Taken together, these data suggest that therapeutic strategies targeting AXL in combination with systemic therapies could improve responses to anti-cancer therapies and reduce breast cancer recurrence and metastases.

Indexed as

A549 CellsAdenocarcinomaAnimalsAntineoplastic AgentsApoptosisAxl Receptor Tyrosine KinaseBreast NeoplasmsCaspase 3Caspase 7Cell MovementCell ProliferationDose-Response Relationship, DrugFemaleGrowth Arrest-Specific Protein 6HumansHuman Umbilical Vein Endothelial Cells3-(carbamoylamino)-5-(3-fluorophenyl)-N-(3-piperidyl)thiophene-2-carboxamideAntineoplastic AgentsAxl Receptor Tyrosine KinaseCASP3 protein, humanCASP7 protein, humanCaspase 3Caspase 7Growth Arrest-Specific Protein 6Intercellular Signaling Peptides and ProteinsProtein Kinase InhibitorsProto-Oncogene ProteinsReceptor Protein-Tyrosine KinasesThiophenesUreaAXLbreast cancerkinase inhibitormetastasissignal transduction

Identifiers

PMID27829217
PMCPMC5347771
OpenAlexW2547019108

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.