Evidence map›Paper›PMID 22295108›Full record

ArticlePloS one2012

A comparative study of gene-expression data of basal cell carcinoma and melanoma reveals new insights about the two cancers.

Kun Xu, Xizeng Mao, Minesh Mehta, Juan Cui, Chi Zhang, Ying Xu

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Mitochondrial bioenergetics and networks in melanoma: an update.Apoptosis : an international journal on programmed cell death · 2025
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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 2 countries.

Kun XuDepartment of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America.
Xizeng Mao
Minesh Mehta
Juan Cui
Chi Zhang
Ying Xu
University of Georgia · US

Funding

Structure Prediction of Helical Transmembrane ProteinsR01GM075331 · NIGMS · UNIVERSITY OF GEORGIA · PI XU, YING · 2007 to 2010
$1.2M
NIGMS NIH HHS 1R01GM075331NIGMS NIH HHS R01 GM075331
6 · The paper itself

Abstract

A comparative analysis of genome-scale transcriptomic data of two types of skin cancers, melanoma and basal cell carcinoma in comparison with other cancer types, was conducted with the aim of identifying key regulatory factors that either cause or contribute to the aggressiveness of melanoma, while basal cell carcinoma generally remains a mild disease. Multiple cancer-related pathways such as cell proliferation, apoptosis, angiogenesis, cell invasion and metastasis, are considered, but our focus is on energy metabolism, cell invasion and metastasis pathways. Our findings include the following. (a) Both types of skin cancers use both glycolysis and increased oxidative phosphorylation (electron transfer chain) for their energy supply. (b) Advanced melanoma shows substantial up-regulation of key genes involved in fatty acid metabolism (β-oxidation) and oxidative phosphorylation, with aerobic metabolism being far more efficient than anaerobic glycolysis, providing a source of the energetics necessary to support the rapid growth of this cancer. (c) While advanced melanoma is similar to pancreatic cancer in terms of the activity level of genes involved in promoting cell invasion and metastasis, the main metastatic form of basal cell carcinoma is substantially reduced in this activity, partially explaining why this cancer type has been considered as far less aggressive. Our method of using comparative analyses of transcriptomic data of multiple cancer types focused on specific pathways provides a novel and highly effective approach to cancer studies in general.

Indexed as

Gene Expression ProfilingApoptosisBasal Cell CarcinomaCell ProliferationDisease ProgressionEnergy MetabolismGenetic MarkersHumansMelanomaNeoplasm InvasivenessNeoplasm MetastasisNeovascularization, PathologicSkin NeoplasmsGenetic Markers

Identifiers

PMID22295108
PMCPMC3266277
OpenAlexW2037963814

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.