Evidence map›Paper›PMID 35125403›Full record

ArticleJournal of the Chinese Medical Association : JCMA2022

Identification of plasma hsa_circ_0000190 and 0001649 as biomarkers for predicting the recurrence and treatment response of patients with oral squamous cell carcinoma.

Kai-Feng Hung, Bing-Hong Chen, Tsui-Ying Wang, Yi-Ping Yang, Yueh Chien, Jeng-Fan Lo, Lin Yang, Bou-Yue Peng, Shou-Yen Kao, Cheng-Hsien Wu

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In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Circ-SHPRH in human cancers: a systematic review and meta-analysis.Frontiers in cell and developmental biology · 2023
    Review
  6. Review
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 3 institutions in 1 country.

Kai-Feng HungDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Bing-Hong ChenDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Tsui-Ying WangDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yi-Ping YangDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yueh ChienDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Jeng-Fan LoInstitute of Oral Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Lin YangDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Bou-Yue PengSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan, ROC.
Shou-Yen KaoDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Cheng-Hsien WuDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Taipei Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral squamous cell carcinoma (OSCC) is a type of malignancy characterized by high relapse and recurrence rates in the late stage despite optimal surgical intervention and postoperative chemoradiotherapy. Because the management of relapse following definitive treatment is challenging, accurate risk stratification is of clinical significance to improve treatment outcomes. Circular RNAs (circRNAs) are noncoding RNAs featured with cell-type specificity and high stability, owing to their circular structure, making these molecules excellent biomarkers for a variety of diseases.

methodsThe levels of hsa_circ_0000190 and 0001649 in plasma samples from 30 healthy controls and 66 OSCC patients were determined by droplet digital polymerase chain reaction. The same primer sets were used with PCR to examine the expression of these two circRNAs in cancerous and adjacent normal tissues. A receiver operating characteristics curve was generated to evaluate the diagnostic value. The Kaplan-Meier method with a log-rank test was used for survival analysis.

resultsWe identified two circRNAs as potential biomarkers for OSCC, showing that the plasma level of hsa_circ_0000190 was significantly decreased in the late stage and marginally correlated with the development of second primary OSCC. We also found that the decreased plasma hsa_circ_0001649 was correlated with the recurrence and poor prognosis of patients. Additionally, we found that high plasma hsa_circ_0000190, but not hsa_circ_0001649, possibly predicted a better response of patients to induction chemotherapy.

conclusionOur study demonstrated the potential of biomarkers in plasma to inform not just the tumor but the entire oral cavity, thereby offering a prediction for early recurrence and second primary OSCC. The plasma circRNAs remain valuable for OSCC, albeit the easy accessibility to the oral cavity.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsBiomarkersBiomarkers, TumorHumansNeoplasm Recurrence, LocalRNASquamous Cell Carcinoma of Head and NeckBiomarkersBiomarkers, TumorRNA

Identifiers

PMID35125403
PMCPMC12755481
OpenAlexW4210829129

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.