Evidence map›Paper›PMID 33995488›Full record

ArticleFrontiers in genetics2021

Transcriptional Profiling of Porcine HCC Xenografts Provides Insights Into Tumor Cell Microenvironment Signaling.

Shovik S Patel, Amitha Sandur, Mohammed El-Kebir, Ron C Gaba, Lawrence B Schook, Kyle M Schachtschneider

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Shovik S PatelDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Amitha SandurDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Mohammed El-KebirDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Ron C GabaDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Lawrence B SchookDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.
Kyle M SchachtschneiderDepartment of Radiology, University of Illinois at Chicago, Chicago, IL, United States.

Funding

Implications of Driver Mutations for Progression of Hepatocellular CarcinomaR21CA219461 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GABA, RON C, SCHACHTSCHNEIDER, KYLE · 2019 to 2020
$382k
NCI NIH HHS R21 CA219461
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide, representing the most common form of liver cancer. As HCC incidence and mortality continue to increase, there is a growing need for improved translational animal models to bridge the gap between basic HCC research and clinical practice to improve early detection and treatment strategies for this deadly disease. Recently the Oncopig cancer model-a novel transgenic swine model that recapitulates human cancer through Cre recombinase induced expression of

Indexed as

hepatic fibrosishepatocellular carcinomamicroenvironmentporcine cancer modelRNA sequencingxenograft

Identifiers

PMID33995488
PMCPMC8118521

What OpenQuestion holds

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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.