Evidence map›Paper›PMID 37627239›Full record

ArticleBiomolecules2023

S100s and HMGB1 Crosstalk in Pancreatic Cancer Tumors.

Angelo Mandarino, Swetha Thiyagarajan, Allana C F Martins, Roberto da Silva Gomes, Stefan W Vetter, Estelle Leclerc

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Angelo MandarinoDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58105, USA.
Swetha ThiyagarajanDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0002-7782-0117
Allana C F MartinsDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0001-5647-2187
Roberto da Silva GomesDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0002-8075-9716
Stefan W VetterDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58105, USA.
Estelle LeclercDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0003-3707-9974
North Dakota State University · US

Funding

Targeting CLEC-2/podoplanin as a therapeutic strategy for pancreatic cancerP20GM109024 · NIGMS · NORTH DAKOTA STATE UNIVERSITY · PI Sanku Mallik · 2016 to 2026
$20.5M
Mechanisms of IL-33 secretion in allergic diseasesR01AI128729 · NIAID · MAYO CLINIC ROCHESTER · PI Hirohito Kita, SCOTT M. O'GRADY · 2017 to 2026
$5.6M
NIAID NIH HHS R01 AI128729NIGMS NIH HHS P20 GM109024
6 · The paper itself

Abstract

Pancreatic cancer remains a disease that is very difficult to treat. S100 proteins are small calcium binding proteins with diverse intra- and extracellular functions that modulate different aspects of tumorigenesis, including tumor growth and metastasis. High mobility group box 1 (HMGB1) protein is a multifaceted protein that also actively influences the development and progression of tumors. In this study, we investigate the possible correlations, at the transcript level, between S100s and HMGB1 in pancreatic cancer. For this purpose, we calculated Pearson's correlations between the transcript levels of 13 cancer-related S100 genes and HMGB1 in a cDNA array containing 19 pancreatic cancer tumor samples, and in 8 human pancreatic cancer cell lines. Statistically significant positive correlations were found in 5.5% (5 out of 91) and 37.4% (34 of 91) of the possible S100/S100 or S100/HMGB1 pairs in cells and tumors, respectively. Our data suggest that many S100 proteins crosstalk in pancreatic tumors either with other members of the S100 family, or with HMGB1. These newly observed interdependencies may be used to further the characterization of pancreatic tumors based on S100 and HMGB1 transcription profiles.

Indexed as

HMGB1 ProteinPancreatic NeoplasmsCarcinogenesisHumansS100 ProteinsHMGB1 ProteinS100 ProteinsHMGB1pancreatic cancerS100 protein

Identifiers

PMID37627239
PMCPMC10452588
OpenAlexW4385345877

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.