Evidence map›Paper›PMID 31703415›Full record

ArticleCancers2019

PAC-5 Gene Expression Signature for Predicting Prognosis of Patients with Pancreatic Adenocarcinoma.

Jieun Kim, Yong Hwa Jo, Miran Jang, Ngoc Ngo Yen Nguyen, Hyeong Rok Yun, Seok Hoon Ko, Yoonhwa Shin, Ju-Seog Lee, Insug Kang, Joohun Ha and 2 more

Open 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. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Deciphering of SOX9 Functions in Pancreatic Cancer Cells.International journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. CD36 and CD97 in Pancreatic Cancer versus Other Malignancies.International journal of molecular sciences · 2020
    Review
  11. Article
  12. 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

12 authors at 2 institutions in 2 countries.

Jieun KimDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Yong Hwa JoBiomedical Science Institute, Kyung Hee University, Seoul 02447, Korea.
Miran JangBiomedical Science Institute, Kyung Hee University, Seoul 02447, Korea.
Ngoc Ngo Yen NguyenDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Hyeong Rok YunDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Seok Hoon KoDepartment of Emergency Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.
Yoonhwa ShinDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Ju-Seog LeeDepartment of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Insug KangDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Joohun HaDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Tae Gyu ChoiBiomedical Science Institute, Kyung Hee University, Seoul 02447, Korea.
Sung Soo KimDepartment of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Korea.
Kyung Hee University · KRThe University of Texas MD Anderson Cancer Center · US

Funding

National Research Foundation of Korea NRF-2016R1D1A1B03933763National Research Foundation of Korea NRF-2017R1A2B2007870National Research Foundation of Korea NRF-2018R1A6A1A03025124National Research Foundation of Korea NRF-2018R1D1A1B07048909
6 · The paper itself

Abstract

Pancreatic adenocarcinoma (PAC) is one of the most aggressive malignancies. Intratumoural molecular heterogeneity impedes improvement of the overall survival rate. Current pathological staging system is not sufficient to accurately predict prognostic outcomes. Thus, accurate prognostic model for patient survival and treatment decision is demanded. Using differentially expressed gene analysis between normal pancreas and PAC tissues, the cancer-specific genes were identified. A prognostic gene expression model was computed by LASSO regression analysis. The PAC-5 signature (LAMA3, E2F7, IFI44, SLC12A2, and LRIG1) that had significant prognostic value in the overall dataset was established, independently of the pathological stage. We provided evidence that the PAC-5 signature further refined the selection of the PAC patients who might benefit from postoperative therapies. SLC12A2 and LRIG1 interacted with the proteins that were implicated in resistance of EGFR kinase inhibitor. DNA methylation was significantly involved in the gene regulations of the PAC-5 signature. The PAC-5 signature provides new possibilities for improving the personalised therapeutic strategies. We suggest that the PAC-5 genes might be potential drug targets for PAC.

Indexed as

adjuvant therapiesgene expression signaturepancreatic adenocarcinomaprognostic prediction

Identifiers

PMID31703415
PMCPMC6896100
OpenAlexW2985771661

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.