Liquid-based cell suspension of supraclavicular lymph node fine-needle aspirate as an alternative specimen for NGS-based genomic profiling in advanced lung cancer.
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ABSTRACT:
SUBMITTER: Zhang X
PROVIDER: S-EPMC7536615 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
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Liquid-based cell suspension of supraclavicular lymph node fine-needle aspirate as an alternative specimen for NGS-based genomic profiling in advanced lung cancer.
Zhang Xun X Chen Ying Y Chu Li L Ni Jianjiao J Lizaso Analyn A Li Bing B Guan Xiaoqian X Liu Hao H Li Guodong G Zhu Zhengfei Z
Clinical and translational medicine 20201001 6
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Project description:BackgroundTo compare the sampling adequacy and diagnostic efficiency of ultrasound-guided fine-needle aspiration with 22-, 25-gauge needles and capillary sampling with 22-gauge needle in the biopsy of cervical lymph node.MethodsA total of 130 cervical lymph nodes from 103 patients were consecutively included in the prospective study. Each suspected lymph node was aspirated with a 22-gauge needle, capillary sampled with a 22-gauge needle and aspirated with a 25-gauge needle. The adequacy rates and nondiagnostic rates of obtained specimen were calculated.ResultsOf the 130 suspected lymph nodes, there were 77 lymph nodes<6.0 mm and 53 lymph nodes≥6.0mm in the smallest dimension. Both FNA22G and FNC22G got significantly higher sampling adequacy than FNA25G for the total lymph nodes. For lymph nodes<6.0 mm, the sampling adequacy was significantly higher with FNA22G than with FNA25G for each parameter and the cumulative score (all P<0.05), while no difference were seen between FNA22G and FNC22G, and between FNC22G and FNA25G. There were higher nondiagnostic rates for FNA25G compared with FNA22G and FNC22G in all lymph nodes and in each size subgroups. FNA25G yielded more diagnostically inadequate specimens than FNA22G and FNC22G did in the total lymph nodes (P=0.002), in lymph nodes<6.0 mm (P=0.014), and in those ≥ 6.0 mm (P=0.000).ConclusionsFNA22G and FNC22G obtained more diagnostically adequate specimens than FNA25G in cervical lymph nodes. FNA22G and FNC22G may be more suitable than FNA25G in diagnosing cervical lymph nodes. FNA22G and FNC22G may yield specimens with similar quality.
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Project description:BackgroundLymph node metastasis risk stratification is crucial for the surgical decision-making of thyroid cancer. This study investigated whether the integrated gene profiling (combining expression, SNV, fusion) of Fine-Needle Aspiration (FNA) samples can improve the prediction of lymph node metastasis in patients with papillary thyroid cancer.MethodsIn this retrospective cohort study, patients with papillary thyroid cancer who went through thyroidectomy and central lymph node dissection were included. Multi-omics data of FNA samples were assessed by an integrated array. To predict lymph node metastasis, we built models using gene expressions or mutations (SNV and fusion) only and an Integrated Risk Stratification (IRS) model combining genetic and clinical information. Blinded histopathology served as the reference standard. ROC curve and decision curve analysis was applied to evaluate the predictive models.ResultsOne hundred and thirty two patients with pathologically confirmed papillary thyroid cancer were included between 2016-2017. The IRS model demonstrated greater performance [AUC = 0.87 (0.80-0.94)] than either expression classifier [AUC = 0.67 (0.61-0.74)], mutation classifier [AUC = 0.61 (0.55-0.67)] or TIRADS score [AUC = 0.68 (0.62-0.74)] with statistical significance (p < 0.001), and the IRS model had similar predictive performance in large nodule [>1 cm, AUC = 0.88 (0.79-0.97)] and small nodule [≤1 cm, AUC = 0.84 (0.74-0.93)] subgroups. The genetic risk factor showed independent predictive value (OR = 10.3, 95% CI:1.1-105.3) of lymph node metastasis in addition to the preoperative clinical information, including TIRADS grade, age, and nodule size.ConclusionThe integrated gene profiling of FNA samples and the IRS model developed by the machine-learning method significantly improve the risk stratification of thyroid cancer, thus helping make wise decisions and reducing unnecessary extensive surgeries.
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Project description:BACKGROUND: The sentinel lymph node (SLN) biopsy technique is a reliable means of determining the tumor-harboring status of regional lymph nodes in melanoma patients. When technetium 99 m-labeled antimony trisulfide colloid (99 mTc-Sb2S3) particles are used to perform preoperative lymphoscintigraphy for SLN identification, they are retained in the SLN but are absent or present in only tiny amounts in non-SLNs. The present study investigated the potential for a novel means of assessing the accuracy of surgical identification of SLNs. This involved the use of inductively coupled plasma-mass spectrometry (ICP-MS) to analyze antimony concentrations in fine-needle biopsy (FNB) samples from surgically procured lymph nodes. METHODS: A total of 47 FNB samples from surgically excised lymph nodes (32 SLNs and 15 non-SLNs) were collected. The SLNs were localized by preoperative lymphoscintigraphy that used 99 mTc-Sb2S3, blue dye, and gamma probe techniques. The concentrations of antimony were measured in the FNB samples by ICP-MS. RESULTS: The mean and median antimony concentrations (in parts per billion) were .898 and .451 in the SLNs, and .015 and .068 in the non-SLNs, the differences being highly statistically significant (P < .00005). CONCLUSIONS: Our results show that ICP-MS analysis of antimony concentrations in FNB specimens from lymph nodes can accurately confirm the identity of SLNs. Used in conjunction with techniques such as proton magnetic resonance spectroscopy for the nonsurgical evaluation of SLNs, ICP-MS analysis of antimony concentrations in FNB samples could potentially serve as a minimally invasive alternative to surgery and histopathologic evaluation to objectively classify a given node as sentinel or nonsentinel and determine its tumor-harboring status.
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