Evidence map›Paper›PMID 39992486›Full record

ArticleMolecular biotechnology2026

DSCC1 Identified as Promising Tumor Biomarker and Potential Therapeutic Target Through Comprehensive Multi-omics Analysis and Experimental Validation.

Wei Cheng, Peng Lin

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2026. 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. Article
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

2 authors.

Wei ChengSchool of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, People's Republic of China.
Peng LinSchool of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, People's Republic of China. plin.r@foxmail.com.ORCID http://orcid.org/0009-0009-3398-8864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a component of the alternative replication factor C (RFC) complex, DSCC1 plays a significant role in cancer progression due to its aberrant expression. However, the potential function of DSCC1 in a pan-cancer context remains unclear. In this study, we conducted a comprehensive analysis of DSCC1's role in tumors by integrating multi-omics bioinformatics tools. First, we utilized various databases to compare the expression of DSCC1 between tumor and normal tissues, revealing a strong association between its dysregulated expression and clinical diagnosis, prognosis, and staging. Additionally, we investigated different mutation types of DSCC1 and their contributions to cancer progression, finding that DSCC1 expression is regulated by epigenetics and RNA modifications. Furthermore, we explored the correlation between DSCC1 and immune-infiltrating cells, as well as immunotherapeutic biomarkers, suggesting that its expression influences the tumor immune microenvironment. By employing single-cell and spatial transcriptome data through platforms such as SingleCellBase, CancerSEA, and CROST, we further uncovered the heterogeneity of DSCC1 across various cancer types. Finally, we validated the significant upregulation of DSCC1 mRNA in multiple tumor cell lines using q-RTPCR, and demonstrated through CCK8 assays that silencing DSCC1 expression effectively suppressed cell proliferation. Our findings establish a foundational understanding of DSCC1's potential as a biomarker for cancer diagnosis, prognosis, and immunotherapy.

Indexed as

Biomarkers, TumorNeoplasmsCell Line, TumorCell ProliferationComputational BiologyEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsMutationPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, TumorDSCC1ImmunotherapeuticPan-cancerPersonalized treatmentSingle-cell analysis

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Registered trials

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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.