Evidence map›Paper›PMID 35477379›Full record

ArticleBMC cancer2022

The identification of liver metastasis- and prognosis-associated genes in pancreatic ductal adenocarcinoma.

Hong Luan, Ye He, Tuo Zhang, Yanna Su, Liping Zhou

Abstract read
In one paragraph

Article in BMC cancer, 2022. 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
–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

12 citing papers in PubMed.

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  8. Exploring heterogeneity: a dive into preclinical models of cancer cachexia.American journal of physiology. Cell physiology · 2024
    Review
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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

5 authors.

Hong LuanDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, People's Republic of China.
Ye HeDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, People's Republic of China.
Tuo ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, People's Republic of China.
Yanna SuDepartment of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, People's Republic of China.
Liping ZhouDepartment of Post Graduation Training, The First Affiliated Hospital of China Medical University, No. 155, Nanjingbei Street, Heping District, Shenyang, Liaoning Province, 110001, People's Republic of China. lpzhou@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is an often fatal malignancy with an extremely low survival rate. Liver metastasis, which causes high mortality, is the most common recurring metastasis for PDAC. However, the mechanisms underlying this liver metastasis and associated candidate biomarkers are unknown.

methodsWe performed mRNA profiling comparisons in 8 primary tumors (T) and 12 liver metastases (M) samples using the Gene Expression Omnibus (GEO) database. After determining differentially expressed genes (DEG), gene ontology (GO), pathway enrichment and protein-protein interaction (PPI) network analyses were performed to determine DEG functions. Then, Cytoscape was used to screen out significant hub genes, after which their clinical relevance was investigated using The Cancer Genome Atlas (TCGA) resources. Furthermore, prognosis-associated gene expression was validated using Oncomine and TCGA database. Lastly, associations between prognosis-associated genes, immune cells and immunological checkpoint genes were evaluated using the Tumor Immune Estimation Resource (TIMER).

resultsIn total, 102 genes were related to liver metastasis and predominantly involved in cell migration, motility, and adhesion. Using Cytoscape, this number was narrowed down to 16 hub genes. Elevated mRNA expression levels for two of these genes, SPARC (P = 0.019) and TPM1 (P = 0.037) were significantly correlated with poor disease prognosis. For the remaining 14, expression was not related to overall patient survival. SPARC had higher expression in patients with metastatic PDAC than those with non-metastatic PDAC in TCGA dataset. SPARC and TPM1 levels were also positively correlated with the immune infiltration of specific cell types. Additionally, both genes exhibited strong co-expression associations with immune checkpoint genes.

conclusionsCombined, we suggest SPARC has high potential as biomarker to predict liver metastasis during PDAC. Additionally, both SPARC and TPM1 appeared to recruit and regulate immune-infiltrating cells during these pathophysiological processes.

Indexed as

AdenocarcinomaCarcinoma, Pancreatic DuctalLiver NeoplasmsPancreatic NeoplasmsBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm Recurrence, LocalPrognosisRNA, MessengerBiomarkers, TumorRNA, MessengerBioinformatics analysisBiomarkerLiver metastasisPancreatic ductal adenocarcinomaSPARCTPM1

Identifiers

PMID35477379
PMCPMC9047343

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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.