Evidence map›Paper›PMID 31018595›Full record

ArticleCancers2019

Integrative In Vivo Drug Testing Using Gene Expression Signature and Patient-Derived Xenografts from Treatment-Refractory HER2 Positive and Triple-Negative Subtypes of Breast Cancer.

Jin-Sun Ryu, Sung Hoon Sim, In Hae Park, Eun Gyeong Lee, Eun Sook Lee, Yun-Hee Kim, Youngmee Kwon, Sun-Young Kong, Keun Seok Lee

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 11 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

9 authors at 1 institution in 1 country.

Jin-Sun RyuCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. 71360@ncc.re.kr.
Sung Hoon SimCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. simsh@ncc.re.kr.
In Hae ParkCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. parkih@ncc.re.kr.
Eun Gyeong LeeCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. 12772@ncc.re.kr.
Eun Sook LeeCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. eslee@ncc.re.kr.
Yun-Hee KimDepartment of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang 10408, Korea. sensia37@ncc.re.kr.
Youngmee KwonCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. ymk@ncc.re.kr.
Sun-Young KongDivision of Translational Science, National Cancer Center, Goyang 10408, Korea. ksy@ncc.re.kr.ORCID 0000-0003-0620-4058
Keun Seok LeeCenter for Breast cancer, National Cancer Center, Goyang 10408, Korea. kslee@ncc.re.kr.
National Cancer Center · KR

Funding

Korea National Cancer Center Grant NCC-1610610, 1611161, 1710450, and 1810910
6 · The paper itself

Abstract

Patient-derived xenografts (PDXs) are powerful tools for translational cancer research. Here, we established PDX models from different molecular subtypes of breast cancer for in vivo drug tests and compared the histopathologic features of PDX model tumors with those of patient tumors. Predictive biomarkers were identified by gene expression analysis of PDX samples using Nanostring nCount cancer panels. Validation of predictive biomarkers for treatment response was conducted in established PDX models by in vivo drug testing. Twenty breast cancer PDX models were generated from different molecular subtypes (overall success rate, 17.5%; 3.6% for HR

Indexed as

bevacizumabbreast cancerdocetaxeleverolimusneratinibpatient-derived xenograftpersonalized therapypre-clinical drug testPX-478sorafenib

Identifiers

PMID31018595
PMCPMC6520730
OpenAlexW2940964174

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.