Evidence map›Paper›PMID 32182655›Full record

ArticleInternational journal of molecular sciences2020

Transcriptional Profiling of Advanced Urothelial Cancer Predicts Prognosis and Response to Immunotherapy.

Seung-Woo Baek, In-Hwan Jang, Seon-Kyu Kim, Jong-Kil Nam, Sun-Hee Leem, In-Sun Chu

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
  6. Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology.IEEE open journal of engineering in medicine and biology · 2022
    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

6 authors at 3 institutions in 1 country.

Seung-Woo BaekGenome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Korea.
In-Hwan JangGenome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Korea.
Seon-Kyu KimDepartment of Bioinformatics, KRIBB School of Bioscience, Korea University of Science and Technology, Daejeon 34113, Korea.ORCID 0000-0002-4176-5187
Jong-Kil NamDepartment of Urology, Research Institute for Convergence of Biochemical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Korea.ORCID 0000-0002-3424-2417
Sun-Hee LeemDepartment of Biological Science, Dong-A University, Busan 49315, Korea.
In-Sun ChuGenome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Korea.
Korea Research Institute of Bioscience and Biotechnology · KRDong-A University · KRPusan National University Yangsan Hospital · KR

Funding

National Research Foundation of Korea NRF-2017R1A2B2007302 and NRF-2017R1A2B2007836
6 · The paper itself

Abstract

Recent investigations reported that some subtypes from the Lund or The Cancer Genome Atlas (TCGA) classifications were most responsive to PD-L1 inhibitor treatment. However, the association between previously reported subtypes and immune checkpoint inhibitor (ICI) therapy responsiveness has been insufficiently explored. Despite these contributions, the ability to predict the clinical applicability of immune checkpoint inhibitor therapy in patients remains a major challenge. Here, we aimed to re-classify distinct subtypes focusing on ICI responsiveness using gene expression profiling in the IMvigor 210 cohort (

Indexed as

CD8 AntigensCell CycleCluster AnalysisDNA DamageDNA ReplicationHumansImmunotherapyPrognosisUrinary Bladder NeoplasmsUrologic NeoplasmsCD8 Antigensbladder cancerCD8+ T effector cellsimmune checkpoint inhibitor

Identifiers

PMID32182655
PMCPMC7084828
OpenAlexW3009888292

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.