ArticleBMC cancer2020
Blood test shows high accuracy in detecting stage I non-small cell lung cancer.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Value of peripheral blood circulating tumor cell detection in the diagnosis of thoracic diseases and the prediction of severity.Clinical and experimental medicine · 2023Article
- The Usefulness of the Ratio of Antigen-Autoantibody Immune Complexes to Their Free Antigens in the Diagnosis of Non-Small Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2023Article
- Embracing enzyme promiscuity with activity-based compressed biosensing.Cell reports methods · 2023Article
- Diagnostic applications of microsphere-based flow cytometry: A review.Experimental biology and medicine (Maywood, N.J.) · 2022Review
- From COPD to Lung Cancer: Mechanisms Linking, Diagnosis, Treatment, and Prognosis.International journal of chronic obstructive pulmonary disease · 2022Review
- Noxa and Puma genes regulated by hTERT promoter can mitigate growth and induce apoptosis in hepatocellular carcinoma mouse model.Journal of Cancer · 2022Article
- Photodynamic Theranostics of Central Lung Cancer: Capabilities of Early Diagnosis and Minimally Invasive Therapy (Review).Sovremennye tekhnologii v meditsine · 2021Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn a previous study (Goebel et. al, Cancer Genomics Proteomics 16:229-244, 2019), we identified 33 biomarkers for an early stage (I-II) Non-Small Cell Lung Cancer (NSCLC) test with 90% accuracy, 80.3% sensitivity, and 95.4% specificity. For the current study, we used a narrowed ensemble of 21 biomarkers while retaining similar accuracy in detecting early stage lung cancer.
methodsA multiplex platform, 486 human plasma samples, and 21 biomarkers were used to develop and validate our algorithm which detects early stage NSCLC. The training set consisted of 258 human plasma with 79 Stage I-II NSCLC samples. The 21 biomarkers with the statistical model (Lung Cancer Detector Test 1, LCDT1) was then validated using 228 novel samples which included 55 Stage I NSCLC.
resultsThe LCDT1 exhibited 95.6% accuracy, 89.1% sensitivity, and 97.7% specificity in detecting Stage I NSCLC on the blind set. When only NSCLC cancers were analyzed, the specificity increased to 99.1%.
conclusionsCompared to current approved clinical methods for diagnosing NSCLC, the LCDT1 greatly improves accuracy while being non-invasive; a simple, cost-effective, early diagnostic blood test should result in expanding access and increase survival rate.
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