Evidence map›Paper›PMID 33578797›Full record

ArticleCancers2021

SILAC-Based Quantitative Proteomic Analysis of Oxaliplatin-Resistant Pancreatic Cancer Cells.

Young Eun Kim, Eun-Kyung Kim, Min-Jeong Song, Tae-Young Kim, Ho Hee Jang, Dukjin Kang

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. The role of Evi/Wntless in exporting Wnt proteins.Development (Cambridge, England) · 2023
    Review
  7. International journal of general medicine · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. 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

6 authors at 3 institutions in 1 country.

Young Eun KimCenter for Bioanalysis, Division of Chemical and Medical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Korea.
Eun-Kyung KimDepartment of Biochemistry, College of Medicine, Gachon University, Incheon 21999, Korea.
Min-Jeong SongDepartment of Biochemistry, College of Medicine, Gachon University, Incheon 21999, Korea.
Tae-Young KimSchool of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Korea.ORCID 0000-0002-8846-3338
Ho Hee JangDepartment of Biochemistry, College of Medicine, Gachon University, Incheon 21999, Korea.ORCID 0000-0003-0314-8230
Dukjin KangCenter for Bioanalysis, Division of Chemical and Medical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Korea.
Gachon University · KRKorea Research Institute of Standards and Science · KRGwangju Institute of Science and Technology · KR

Funding

Ministry of Trade, Industry and Energy 20009350
6 · The paper itself

Abstract

Oxaliplatin is a commonly used chemotherapeutic drug for the treatment of pancreatic cancer. Understanding the cellular mechanisms of oxaliplatin resistance is important for developing new strategies to overcome drug resistance in pancreatic cancer. In this study, we performed a stable isotope labelling by amino acids in cell culture (SILAC)-based quantitative proteomics analysis of oxaliplatin-resistant and sensitive pancreatic cancer PANC-1 cells. We identified 107 proteins whose expression levels changed (thresholds of 2-fold changes and

Indexed as

drug resistanceoxaliplatinpancreatic cancerquantitative proteomicsSILAC

Identifiers

PMID33578797
PMCPMC7916634
OpenAlexW3128878781

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.