Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Plasma circular RNA profiling of patients with gastric cancer and their droplet digital RT-PCR detection

Open access
Li, Tianwen, Shao, Yongfu, Fu, Liyun, Xie, Yi, Zhu, Linwen, Sun, Weiliang, Yu, Rui, Xiao, Bingxiu, Guo, Junming·2018·Journal of Molecular Medicine

Abstract

To observe the diagnostic values of circular RNAs (circRNAs), their expression profiles between gastric cancer patients' plasma and healthy controls were first assessed by circRNA microarray. Then, circRNA levels were measured by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and RT-droplet digital PCR (RT-ddPCR), respectively. A total of 343 differentially expressed circRNAs were found. The top 10 elevated circRNAs in patients were hsa_circ_0088300, hsa_circ_0075825, hsa_circ_0019172, hsa_circ_0000220, hsa_circ_0035277, hsa_circ_0000301, hsa_circ_0000189, hsa_circ_0090080, hsa_circ_0001888, and hsa_circ_0001874. The top 10 reduced circRNAs were hsa_circ_0004771, hsa_circ_0001190, hsa_circ_0061276, hsa_circ_0092337, hsa_circ_0058495, hsa_circ_0061274, hsa_circ_0075829, hsa_circ_0080845, hsa_circ_0001006, and hsa_circ_0003764. In cancer and dysplasia tissues, hsa_circ_0001017 and hsa_circ_0061276 were downregulated. Their levels were significantly associated with distal metastasis. The area under receiver operating characteristic curve in combinative use was 0.966 with 95.5% sensitivity and 95.7% specificity. Patients with low plasma hsa_circ_0001017 or hsa_circ_0061276 had a much shorter overall survival than those with high levels. Patients whose plasma hsa_circ_0001017 or hsa_circ_0061276 levels recovered to normal after operation had a longer disease-free survival. Finally, the in vitro model indicated gastric cancer cells secreting circRNAs into plasma. In conclusion, RT-ddPCR is a potent non-invasive and absolute quantification method for simultaneous detection of multiple circRNAs. Hsa_circ_0001017 and hsa_circ_0061276 are new potential biomarkers for gastric cancer. KEY MESSAGE: A total of 343 circRNAs are differentially expressed between gastric cancer patients' plasma and healthy controls. Hsa_circ_0001017 and hsa_circ_0061276 are downregulated in gastric cancer tissues. The RT-ddPCR is a potent method for simultaneous detection of multiple circRNAs in plasma. Hsa_circ_0001017 and hsa_circ_0061276 are potential biomarkers for gastric cancer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00109-017-1600-y

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Show all 32 references

Cited by

See all 266

Metadata

Authors
Li, T., Shao, Y., Fu, L., Xie, Y., Zhu, L., Sun, W., Yu, R., Xiao, B., & Guo, J.
Venue
Journal of Molecular Medicine
Published
2017-11-02
Volume
96
Issue
1
Pages
85-96
ISSN
  • 0946-2716 (ISSN-L)
  • 1432-1440
OpenAlex
W2766204235
Cited by
266
References
32
FWCI
11.55
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Plasma circular RNA profiling of patients with gastric cancer and their droplet digital RT-PCR detection. https://app.cochat.ai/papers/10.1007/s00109-017-1600-y
The paper
Li, T., Shao, Y., Fu, L., Xie, Y., Zhu, L., Sun, W., Yu, R., Xiao, B., & Guo, J. (2018). Plasma circular RNA profiling of patients with gastric cancer and their droplet digital RT-PCR detection. Journal of Molecular Medicine. https://doi.org/10.1007/s00109-017-1600-y

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.