ArticleEvidence-based complementary and alternative medicine : eCAM2022
Evaluation of lncRNA FOXD3-AS1 as a Biomarker for Early-Stage Lung Cancer Diagnosis and Subtype Identification.
Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Nanotechnology-leveraged CRISPR/Cas systems: icebreaking in trace cancer-related nucleic acids biosensing.Molecular cancer · 2025Review
- Prognostic value and immune-infiltration pattern of FOXD3-AS1 in patients with glioma.Frontiers in pharmacology · 2023Article
- Retracted: Evaluation of lncRNA FOXD3-AS1 as a Biomarker for Early-Stage Lung Cancer Diagnosis and Subtype Identification.Evidence-based complementary and alternative medicine : eCAM · 2023Article
Corrections and comments
- Retraction · 2023-10-04Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/5FA48FD52C1A83FB7D425409401B86
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Lung cancer (LC) is the most commonly diagnosed cancer and the leading cause of cancer-related deaths. More and more long noncoding RNA (lncRNA) are associated with cancer. This study aimed to assess whether plasma lncRNA could be used to diagnose early-stage LC and identify subtypes of LC. Methods: For bioinformatic analysis, we used genetic data from the Cancer Genome Atlas, lung adenocarcinoma (LUAD), and lung squamous cell carcinoma (LUSC) datasets and a small cell lung cancer (SCLC) dataset from the Gene Expression Omnibus. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to examine the relative expression of lncRNA in LC tissues and plasma samples. The patients' clinical information was obtained at the time of sample collection. Results: According to public datasets, the lncRNA forkhead box D3 antisense 1 (FOXD3-AS1) was significantly upregulated in LUAD, LUSC, and SCLC tissues over controls. RT-qPCR assays confirmed this finding in LUAD, LUSC, and SCLC tissues and plasma samples. Even early-stage receiver operating characteristic analysis showed that plasma FOXD3-AS1 could be used to discriminate LUAD, LUSC, and SCLC from normal controls and identify LC subtypes SCLC. Conclusion: FOXD3-AS1 is significantly upregulated in LC tissues and plasma. FOXD3-AS1 could be a potential biomarker for LC subtype identification and early diagnosis.
Identifiers
What OpenQuestion holds
Registered trials
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.