Evidence map›Paper›PMID 30700038›Full record

ArticleCancers2019

An Integrative Data Mining and Omics-Based Translational Model for the Identification and Validation of Oncogenic Biomarkers of Pancreatic Cancer.

Nguyen Phuoc Long, Kyung Hee Jung, Nguyen Hoang Anh, Hong Hua Yan, Tran Diem Nghi, Seongoh Park, Sang Jun Yoon, Jung Eun Min, Hyung Min Kim, Joo Han Lim and 5 more

Registry-linked trialOpen 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. It is linked to trial NCT06108310 (ATTRACT - ArTificial inTelligence-based RAdiogenomics in Colon Tumors), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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.

NCT06108310 unknown statusnot on this mapstarted 2021, after this paper: background citation

ATTRACT - ArTificial inTelligence-based RAdiogenomics in Colon Tumors

TypeobservationalSponsorUniversity of Roma La SapienzaRan2021 to 2025Enrolled500ConditionsColon Cancer Stage II, Colon Cancer Stage III
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Incorporating Machine Learning into Established Bioinformatics Frameworks.International journal of molecular sciences · 2021
    Review
  16. Topic Evolution Analysis for Omics Data Integration in Cancers.Frontiers in cell and developmental biology · 2021
    Article
  17. An Integrated Microarray Analysis Reveals Significant Diagnostic and Prognostic Biomarkers in Pancreatic Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  18. Review
  19. Review
  20. 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

15 authors at 4 institutions in 2 countries.

Nguyen Phuoc LongCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. phuoclong@snu.ac.kr.
Kyung Hee JungDepartment of Biomedical Sciences, College of Medicine, Inha University, 3-ga, Sinheung-dong, Jung-gu, Incheon 400-712, Korea. inhafuture@gmail.com.
Nguyen Hoang AnhCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. 2018-23140@snu.ac.kr.
Hong Hua YanDepartment of Biomedical Sciences, College of Medicine, Inha University, 3-ga, Sinheung-dong, Jung-gu, Incheon 400-712, Korea. yanhonghua69@hotmail.com.
Tran Diem NghiSchool of Medicine, Vietnam National University, Ho Chi Minh 70000, Vietnam. trandiemnghi@gmail.com.
Seongoh ParkDepartment of Statistics, Seoul National University, Seoul 08826, Korea. inmybrain@snu.ac.kr.
Sang Jun YoonCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. supercanboy@snu.ac.kr.
Jung Eun MinCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. mje0107@snu.ac.kr.
Hyung Min KimCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. snuhmkim04@snu.ac.kr.
Joo Han LimDepartment of Medicine, College of Medicine, Inha University, 3-ga, Sinheung-dong, Jung-gu, Incheon 400-712, Korea. limjh@inha.ac.kr.
Joon Mee KimDepartment of Medicine, College of Medicine, Inha University, 3-ga, Sinheung-dong, Jung-gu, Incheon 400-712, Korea. jmkpath@inha.ac.kr.
Johan LimDepartment of Statistics, Seoul National University, Seoul 08826, Korea. johanlim@snu.ac.kr.
Sanghyuk LeeDivision of Life and Pharmaceutical Sciences, Ewha Womans University, Seoul 120-750, Korea. sanghyuk@ewha.ac.kr.
Soon-Sun HongDepartment of Biomedical Sciences, College of Medicine, Inha University, 3-ga, Sinheung-dong, Jung-gu, Incheon 400-712, Korea. hongs@inha.ac.kr.
Sung Won KwonCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. swkwon@snu.ac.kr.
Seoul National University · KRInha University · KREwha Womans University · KRVietnam National University Ho Chi Minh City · VN

Funding

National Research Foundation of Korea NRF-2018R1A5A2024425/2015R1A2A1A10054108
6 · The paper itself

Abstract

Substantial alterations at the multi-omics level of pancreatic cancer (PC) impede the possibility to diagnose and treat patients in early stages. Herein, we conducted an integrative omics-based translational analysis, utilizing next-generation sequencing, transcriptome meta-analysis, and immunohistochemistry, combined with statistical learning, to validate multiplex biomarker candidates for the diagnosis, prognosis, and management of PC. Experiment-based validation was conducted and supportive evidence for the essentiality of the candidates in PC were found at gene expression or protein level by practical biochemical methods. Remarkably, the random forests (RF) model exhibited an excellent diagnostic performance and

Indexed as

diagnostic biomarkermachine learningmeta-analysisnext-generation sequencingpancreatic ductal adenocarcinomaprognostic biomarkersystems biologytranscriptomics

Identifiers

PMID30700038
PMCPMC6407035
OpenAlexW2914776530

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.