Evidence map›Paper›PMID 27625789›Full record

ArticleCell discovery2016

Integrative analysis of mutational and transcriptional profiles reveals driver mutations of metastatic breast cancers.

Ji-Hyun Lee, Xing-Ming Zhao, Ina Yoon, Jin Young Lee, Nam Hoon Kwon, Yin-Ying Wang, Kyung-Min Lee, Min-Joo Lee, Jisun Kim, Hyeong-Gon Moon and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cell discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.5field-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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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  12. Critical Roles of Polycomb Repressive Complexes in Transcription and Cancer.International journal of molecular sciences · 2022
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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

16 authors at 3 institutions in 3 countries.

Ji-Hyun LeeMedicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University, Seoul, Republic of Korea; Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, Republic of Korea.
Xing-Ming ZhaoDepartment of Computer Science and Technology, Tongji University , Shanghai, China.
Ina YoonMedicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University , Seoul, Republic of Korea.
Jin Young LeeMedicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University , Seoul, Republic of Korea.
Nam Hoon KwonMedicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University , Seoul, Republic of Korea.
Yin-Ying WangDepartment of Computer Science and Technology, Tongji University , Shanghai, China.
Kyung-Min LeeDepartment of Surgery, Seoul National University College of Medicine , Seoul, Republic of Korea.
Min-Joo LeeDepartment of Surgery, Seoul National University College of Medicine , Seoul, Republic of Korea.
Jisun KimDepartment of Surgery, Seoul National University College of Medicine , Seoul, Republic of Korea.
Hyeong-Gon MoonDepartment of Surgery, Seoul National University College of Medicine , Seoul, Republic of Korea.
Yongho InMedicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University , Seoul, Republic of Korea.
Jin-Kao HaoLERIA, University of Angers , Angers, France.
Kyung-Mii ParkResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University , Seoul, Republic of Korea.
Dong-Young NohDepartment of Surgery, Seoul National University College of Medicine , Seoul, Republic of Korea.
Wonshik HanDepartment of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea.
Sunghoon KimMedicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University, Seoul, Republic of Korea; Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Seoul National University · KRTongji University · CNUniversité d'Angers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the explosion in the numbers of cancer genomic studies, metastasis is still the major cause of cancer mortality. In breast cancer, approximately one-fifth of metastatic patients survive 5 years. Therefore, detecting the patients at a high risk of developing distant metastasis at first diagnosis is critical for effective treatment strategy. We hereby present a novel systems biology approach to identify driver mutations escalating the risk of metastasis based on both exome and RNA sequencing of our collected 78 normal-paired breast cancers. Unlike driver mutations occurring commonly in cancers as reported in the literature, the mutations detected here are relatively rare mutations occurring in less than half metastatic samples. By supposing that the driver mutations should affect the metastasis gene signatures, we develop a novel computational pipeline to identify the driver mutations that affect transcription factors regulating metastasis gene signatures. We identify driver mutations in ADPGK, NUP93, PCGF6, PKP2 and SLC22A5, which are verified to enhance cancer cell migration and prompt metastasis with in vitro experiments. The discovered somatic mutations may be helpful for identifying patients who are likely to develop distant metastasis.

Indexed as

driver mutationsexome sequencingintegrative analysismetastatic breast cancerRNA sequencing

Identifiers

PMID27625789
PMCPMC5004232
OpenAlexW2518398099

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.