Evidence map›Paper›PMID 35096593›Full record

ArticleFrontiers in oncology2021

Integrative Multi-Omics Analysis Reveals Candidate Biomarkers for Oral Squamous Cell Carcinoma.

Zhengqing Wan, Haofeng Xiong, Xian Tan, Tong Su, Kun Xia, Danling Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Application of artificial intelligence in oral potentially malignant disorders: current opinions and future barriers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Review
  6. Review
  7. In Silico Analysis of Squamous Cell Carcinoma.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. FOXP2 mediates ZSCAN18 transcriptional activation to inhibit oral squamous cell carcinoma progression by blocking Hedgehog signaling.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Review
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  15. Article
  16. 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

6 authors at 4 institutions in 1 country.

Zhengqing WanHengyang Medical School, University of South China, Hengyang, China.
Haofeng XiongXiangya Hospital, Central South University, Changsha, China.
Xian TanHengyang Medical School, University of South China, Hengyang, China.
Tong SuXiangya Hospital, Central South University, Changsha, China.
Kun XiaCenter for Medical Genetics, School of Life Sciences, Central South University, Changsha, China.
Danling WangHengyang Medical School, University of South China, Hengyang, China.
Central South University · CNChangsha Central Hospital · CNUniversity of South China · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is one of the most common types of cancer worldwide. Due to the lack of early detection and treatment, the survival rate of OSCC remains poor and the incidence of OSCC has not decreased during the past decades. To explore potential biomarkers and therapeutic targets for OSCC, we analyzed differentially expressed genes (DEGs) associated with OSCC using RNA sequencing technology. Methylation-regulated and differentially expressed genes (MeDEGs) of OSCC were further identified

Indexed as

DEGsDMGsMeDEGsmulti-omicsoral squamous cell carcinoma

Identifiers

PMID35096593
PMCPMC8795899
OpenAlexW4205261325

What OpenQuestion holds

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LicenceCC BY
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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.