Evidence map›Paper›PMID 32448196›Full record

ArticleClinical epigenetics2020

Novel visualized quantitative epigenetic imprinted gene biomarkers diagnose the malignancy of ten cancer types.

Rulong Shen, Tong Cheng, Chuanliang Xu, Rex C Yung, Jiandong Bao, Xing Li, Hongyu Yu, Shaohua Lu, Huixiong Xu, Hongxun Wu and 14 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05707585 (A Multicenter Study for Evaluating the Benign and Malignant Pulmonary Noldules by Detecting the Epigenetic Imprinting Alterations in Bronchoalveolar Lavage), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT05707585 unknown statusnot on this mapstarted 2023, after this paper: background citation

A Multicenter Study for Evaluating the Benign and Malignant Pulmonary Noldules by Detecting the Epigenetic Imprinting Alterations in Bronchoalveolar Lavage

TypeobservationalSponsorThe Second Affiliated Hospital of Dalian Medical UniversityRan2023 to 2024Enrolled2,064ConditionsLung CancerArmsQuantitative Chromogenic Imprinted Gene in situ Hybridization (QCIGISH)
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Genomic imprinting biomarkers for cervical cancer risk stratification.Cancer communications (London, England) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. High Diagnostic Accuracy of Epigenetic Imprinting Biomarkers in Thyroid Nodules.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  12. Article
  13. Article
  14. Review
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

24 authors at 9 institutions in 3 countries.

Rulong ShenDepartment of Pathology, Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.
Tong ChengEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Chuanliang XuDepartment of Urology, Changhai Hospital, Navy Medical University, Shanghai, 200433, China.
Rex C YungDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21207, USA.
Jiandong BaoDepartments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, 214063, Jiangsu, China.
Xing LiEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Hongyu YuDepartment of Pathology, Changzheng Hospital, Navy Medical University, Shanghai, 200003, China.
Shaohua LuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Huixiong XuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Hongxun WuDepartments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, 214063, Jiangsu, China.
Jian ZhouDepartment of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Wenbo BuHospital for Skin Disease, Institute of Dermatology, Chinese Academy of Medical Science, Peking Union Medical College, Nanjing, 210042, China.
Xiaonan WangEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Han SiEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Panying ShiEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Pengcheng ZhaoEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Yun LiuEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Yongjie DengEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Yun ZhuDepartments of Endocrinology, Ultrasound and Pathology, JiangYuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, 214063, Jiangsu, China.
Shuxiong ZengDepartment of Urology, Changhai Hospital, Navy Medical University, Shanghai, 200433, China.
John P PinedaEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China.
Chunlin LinDepartment of Molecular Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, 78245, USA.
Ning ZhouEpigenetics Lab, Chinese Alliance Against Lung Cancer, 6th Floor, Building 5, No.66, Jinghuidongdao Road, Wuxi, 214135, Jiangsu, China. zhou.ning@lisenid.com.
Chunxue BaiDepartment of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. cxbai@fudan.edu.cn.ORCID 0000-0002-0119-8990
Fudan University · CNSecond Military Medical University · CNTongji University · CNChinese Academy of Medical Sciences Dermatology Hospital · CNJohns Hopkins University · USKPMG (United Kingdom) · GBShanghai Changzheng Hospital · CNThe Ohio State University Wexner Medical Center · USThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic alterations are involved in most cancers, but its application in cancer diagnosis is still limited. More practical and intuitive methods to detect the aberrant expressions from clinical samples using highly sensitive biomarkers are needed. In this study, we developed a novel approach in identifying, visualizing, and quantifying the biallelic and multiallelic expressions of an imprinted gene panel associated with cancer status. We evaluated the normal and aberrant expressions measured using the imprinted gene panel to formulate diagnostic models which could accurately distinguish the imprinting differences of normal and benign cases from cancerous tissues for each of the ten cancer types.

resultsThe Quantitative Chromogenic Imprinted Gene In Situ Hybridization (QCIGISH) method developed from a 1013-case study which provides a visual and quantitative analysis of non-coding RNA allelic expressions identified the guanine nucleotide-binding protein, alpha-stimulating complex locus (GNAS), growth factor receptor-bound protein (GRB10), and small nuclear ribonucleoprotein polypeptide N (SNRPN) out of five tested imprinted genes as efficient epigenetic biomarkers for the early-stage detection of ten cancer types. A binary algorithm developed for cancer diagnosis showed that elevated biallelic expression (BAE), multiallelic expression (MAE), and total expression (TE) measurements for the imprinted gene panel were associated with cell carcinogenesis, with the formulated diagnostic models achieving consistently high sensitivities (91-98%) and specificities (86-98%) across the different cancer types.

conclusionsThe QCIGISH method provides an innovative way to visually assess and quantitatively analyze individual cells for cancer potential extending from hyperplasia and dysplasia until carcinoma in situ and invasion, which effectively supplements standard clinical cytologic and histopathologic diagnosis for early cancer detection. In addition, the diagnostic models developed from the BAE, MAE, and TE measurements of the imprinted gene panel GNAS, GRB10, and SNRPN could provide important predictive information which are useful in early-stage cancer detection and personalized cancer management.

Indexed as

Genomic ImprintingAlgorithmsAllelesBiomarkers, TumorChromograninsEarly Detection of CancerFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGRB10 Adaptor ProteinGTP-Binding Protein alpha Subunits, GsGTP-Binding ProteinsHumansIn Situ HybridizationMaleNeoplasmsBiomarkers, TumorChromograninsGNAS protein, humanGRB10 Adaptor ProteinGRB10 protein, humanGTP-Binding Protein alpha Subunits, GsGTP-Binding ProteinsRibonucleoproteins, Small NuclearBiallelic expressionCancer biomarkerEpigeneticsGenomic imprintingMultiallelic expression

Identifiers

PMID32448196
PMCPMC7245932
OpenAlexW3028184223

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LicenceCC BY
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Registered trials

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.