Evidence map›Paper›PMID 35850748›Full record

ArticleBMC cancer2022

Tumor specificity of WNT ligands and receptors reveals universal squamous cell carcinoma oncogenes.

Cheng Chen, Lunan Luo, Changling Xu, Xia Yang, Ting Liu, Jingyue Luo, Wen Shi, Lu Yang, Yi Zheng, Jing Yang

Open access · goldAbstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Roles of Wnt ligands and receptors in oral squamous cell carcinoma.Journal of Zhejiang University. Science. B · 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

10 authors at 2 institutions in 1 country.

Cheng Chen *Department of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Lunan Luo *Department of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Changling Xu *Department of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Xia YangDepartment of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Ting LiuDepartment of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Jingyue LuoDepartment of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Wen ShiDepartment of Oral Medicine, Peking University School and Hospital of Stomatology, Beijing, 100191, China.
Lu YangDepartment of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Yi ZhengDepartment of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China. yi_zheng@uestc.edu.cn.
Jing YangDepartment of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610054, China. yangjing1977@uestc.edu.cn.
University of Electronic Science and Technology of China · CNPeking University · CN

Funding

Department of Science and Technology of Sichuan Province of China 2022YFS0597, 2021ZYD0093National Natural Science Foundation of China 81673338
6 · The paper itself

Abstract

backgroundThe WNT signal pathway has myriad family members, which are broadly involved in embryonic development and human cancer. Over-activation of WNT-β-Catenin signaling promotes cancer cell proliferation and survival. However, how diverse components of WNT signaling specifically engaged in distinct tumor types remains incompletely understood.

methodsWe analyzed the transcriptomic profiling of WNT ligands and receptors/co-receptors among 26 different tumor types to identify their expression pattern, and further verified these results using clinical oral squamous cell carcinoma (OSCC) and lung squamous cell carcinoma (LUSC) samples. At the same time, we also detected WNT7B expression in oral inflammation and carcinoma, and constructed stable WNT7B knockdown OSCC cell lines to study the effects of WNT7B on the cell migration and invasion ability.

resultsWe found a group of tumor-specific WNT members, including a panel of squamous cell carcinomas (SCCs) specific upregulated WNT ligands and receptors, WNT5A, WNT7B, FZD7 and GPC1. We further revealed a significant correlation between these protein expression characteristics and clinical outcomes of OSCC and LUSC patients. Moreover, WNT7B was demonstrated to contribute to the development of oral chronic inflammation and OSCC, partly due to promoting the invasion ability of tumor cells.

conclusionsThese results demonstrate that the function of WNT ligands and receptors in specific tumors depends on the origination of tumor tissue type. Collectively, they support the use of WNT components as a highly specific target for pan-tissue-type originated tumors.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHumansInflammationLigandsOncogenesSquamous Cell Carcinoma of Head and NeckWnt Signaling PathwayLigandsSCCTumor specificityWNT5AWNT7BWNT signaling

Identifiers

PMID35850748
PMCPMC9295300
OpenAlexW4285796689

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.