Evidence map›Paper›PMID 24918944›Full record

ArticlePloS one2014

PIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing.

Xusheng Bai, Enke Zhang, Hua Ye, Vijayalakshmi Nandakumar, Zhuo Wang, Lihong Chen, Chuanning Tang, Jianhui Li, Huijin Li, Wei Zhang and 18 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

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  19. Mutation distributions and clinical correlations of PIK3CA gene mutations in breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
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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

28 authors at 1 institution in 1 country.

Xusheng BaiCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Enke ZhangCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Hua YeSan Valley Biotechnology Incorporated, Beijing, China.
Vijayalakshmi NandakumarNorris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Zhuo WangCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Lihong ChenCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Chuanning TangSan Valley Biotechnology Incorporated, Beijing, China.
Jianhui LiCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Huijin LiCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Wei ZhangCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Wei HanCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
Feng LouSan Valley Biotechnology Incorporated, Beijing, China.
Dandan ZhangSan Valley Biotechnology Incorporated, Beijing, China.
Hong SunSan Valley Biotechnology Incorporated, Beijing, China.
Haichao DongSan Valley Biotechnology Incorporated, Beijing, China.
Guangchun ZhangSan Valley Biotechnology Incorporated, Beijing, China.
Zhiyuan LiuSan Valley Biotechnology Incorporated, Beijing, China.
Zhishou DongSan Valley Biotechnology Incorporated, Beijing, China.
Baishuai GuoSan Valley Biotechnology Incorporated, Beijing, China.
He YanSan Valley Biotechnology Incorporated, Beijing, China.
Chaowei YanSan Valley Biotechnology Incorporated, Beijing, China.
Lu WangSan Valley Biotechnology Incorporated, Beijing, China.
Ziyi SuSan Valley Biotechnology Incorporated, Beijing, China.
Yangyang LiSan Valley Biotechnology Incorporated, Beijing, China.
Lindsey JonesNorris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Xue F HuangNorris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Si-Yi ChenNorris Comprehensive Cancer Center, Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Jinglong GaoCentral Laboratory, People's Hospital of Shan Xi Province, Xian, China.
University of Southern California · US

Funding

Overcoming Immune Suppression to Enhance Tumor Vaccine EfficacyR01CA090427 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, SI-YI · 2002 to 2013
$3.1M
Developing novel adjuvants for HIV vaccinationR01AI084811 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, SI-YI · 2009 to 2013
$2.2M
NCI NIH HHS R01 CA090427NCI NIH HHS R01 CA90427NIAID NIH HHS R01 AI084811
6 · The paper itself

Abstract

Breast cancer is the most common malignancy and the leading cause of cancer deaths in women worldwide. While specific genetic mutations have been linked to 5-10% of breast cancer cases, other environmental and epigenetic factors influence the development and progression of the cancer. Since unique mutations patterns have been observed in individual cancer samples, identification and characterization of the distinctive breast cancer molecular profile is needed to develop more effective target therapies. Until recently, identifying genetic cancer mutations via personalized DNA sequencing was impractical and expensive. The recent technological advancements in next-generation DNA sequencing, such as the semiconductor-based Ion Torrent sequencing platform, has made DNA sequencing cost and time effective with more reliable results. Using the Ion Torrent Ampliseq Cancer Panel, we sequenced 737 loci from 45 cancer-related genes to identify genetic mutations in 105 human breast cancer samples. The sequencing analysis revealed missense mutations in PIK3CA, and TP53 genes in the breast cancer samples of various histologic types. Thus, this study demonstrates the necessity of sequencing individual human cancers in order to develop personalized drugs or combination therapies to effectively target individual, breast cancer-specific mutations.

Indexed as

Genes, p53Mutation, MissenseBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesExonsFemaleHumansPhosphatidylinositol 3-KinasesSequence Analysis, DNAClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID24918944
PMCPMC4053449
OpenAlexW2016303502

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.