Evidence map›Paper›PMID 31933951›Full record

ArticleInternational journal of clinical and experimental pathology2019

A panel of biomarkers for skin squamous cell carcinoma: various functional entities and differential responses to resveratrol.

Yuan Sun, Aiqing Li, Xin Liu, Qian Wang, Yang Bai, Zhili Liu, Lei Huang, Moli Wu, Hong Li, Jian Miao and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Evaluation of serum Cytokeratin 5 and p63 as non-invasive biomarkers for the diagnosis and staging of cervical cancer: a case-control study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. Review
  3. Article
  4. Advancing Cancer Research: Current Knowledge on Cutaneous Neoplasia.International journal of molecular sciences · 2023
    Review
  5. Review
  6. 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

11 authors at 2 institutions in 1 country.

Yuan SunLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Aiqing LiLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Xin LiuLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Qian WangLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Yang BaiLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Zhili LiuDalian Skin Disease Hospital Dalian, China.
Lei HuangThe Friendship Municipal Hospital Dalian, China.
Moli WuLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Hong LiLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Jian MiaoThe Department of General Surgery, The Second Affiliated Hospital of Dalian Medical University Dalian, China.
Jia LiuLiaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University Dalian, China.
Dalian Medical University · CNDalian Municipal Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contrast to the highly malignant melanoma, skin squamous cell carcinoma (SCC) usually presents with lower morbidity. However, its incidence has been alarmingly rising worldwide and is a public health burden, let alone the current SCC cancer classification scheme is inadequate. Due to its features of progressing along different pathologic stages, early detection of precancerous lesions with accurate molecular markers would be desirable for cancer prevention and treatment. In the present study, using immunohistochemical staining of 85 clinical samples, we profiled the expression of a panel of ten proteins from five functional divisions implicated in SCC development, i.e. cytokeratins, intercellular molecules, chaperone proteins, transcription factors, and mitochondrial redox enzymes. The differential alterations of the proteins in SCC cell lines SCL12 and COLO16, upon resveratrol therapy, were also examined by immunocytochemistry (ICC). Our data reveal that, while all these proteins show significant correlation with cancer initiation and/or progression, a comprehensive panel encompassing a range of biologic functions, instead of a single marker, will provide prognostic value in SCC diagnosis and management. Additionally, the strong correlation among the proteins with cancer stages implies their distinct roles in SCC pathogenesis and contributions to the therapeutic effects of resveratrol, which is demonstrated in the resveratrol-sensitive COLO16 cells, but not in the resveratrol-resistant SCL12 cells.

Indexed as

biomarkersresveratrolSkin squamous cell carcinoma

Identifiers

PMID31933951
PMCPMC6947080
OpenAlexW3003744747

What Socratic holds

Textmetadata
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 Socratic graph.