Evidence map›Paper›PMID 30563517›Full record

ArticleMolecular cancer2018

Large-scale pharmacogenomics based drug discovery for ITGB3 dependent chemoresistance in mesenchymal lung cancer.

Soon-Ki Hong, Haeseung Lee, Ok-Seon Kwon, Na-Young Song, Hyo-Ju Lee, Seungmin Kang, Jeong-Hwan Kim, Mirang Kim, Wankyu Kim, Hyuk-Jin Cha

Open access · goldAbstract readLetter
In one paragraph

Article in Molecular cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 46 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Soon-Ki HongCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Haeseung LeeDepartment of Life Sciences, Ewha Womans University, Seoul, 03760, Republic of Korea.
Ok-Seon KwonCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Na-Young SongCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Hyo-Ju LeeCollege of Natural Sciences, Department of Life Sciences, Sogang University, Seoul, 04107, Republic of Korea.
Seungmin KangDepartment of Life Sciences, Ewha Womans University, Seoul, 03760, Republic of Korea.
Jeong-Hwan KimPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Mirang KimPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.
Wankyu KimDepartment of Life Sciences, Ewha Womans University, Seoul, 03760, Republic of Korea. wkim@ewha.ac.kr.
Hyuk-Jin ChaCollege of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea. hjcha93@snu.ac.kr.ORCID 0000-0001-9277-2662
Ewha Womans University · KRSeoul National University · KRKorea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even when targets responsible for chemoresistance are identified, drug development is often hampered due to the poor druggability of these proteins. We systematically analyzed therapy-resistance with a large-scale cancer cell transcriptome and drug-response datasets and predicted the candidate drugs based on the gene expression profile. Our results implicated the epithelial-mesenchymal transition as a common mechanism underlying resistance to chemotherapeutic drugs. Notably, we identified ITGB3, whose expression was abundant in both drug resistance and mesenchymal status, as a promising target to overcome chemoresistance. We also confirmed that depletion of ITGB3 sensitized cancer cells to conventional chemotherapeutic drugs by modulating the NF-κB signaling pathway. Considering the poor druggability of ITGB3 and the lack of feasible drugs to directly inhibit this protein, we took an in silico screening for drugs mimicking the transcriptome-level changes caused by knockdown of ITGB3. This approach successfully identified atorvastatin as a novel candidate for drug repurposing, paving an alternative path to drug screening that is applicable to undruggable targets.

Indexed as

A549 CellsCell Line, TumorDrug DiscoveryDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionHumansIntegrin beta3Lung NeoplasmsNF-kappa BPharmacogeneticsSignal TransductionIntegrin beta3ITGB3 protein, humanNF-kappa BAtorvastatinBiomarkerChemoresistanceDrug repurposingITGB3Mesenchymal cancerNF-κBPharmacogenomicsSystems pharmacology

Identifiers

PMID30563517
PMCPMC6299529
OpenAlexW2904502372

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.