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VanderLaan PA, Roy-Chowdhuri S, Griffith CC, Weiss VL, Booth CN. Molecular testing of cytology specimens: overview of assay selection with focus on lung, salivary gland, and thyroid testing. J Am Soc Cytopathol 2022; 11:403-414. [PMID: 36184436 PMCID: PMC10225070 DOI: 10.1016/j.jasc.2022.08.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 11/22/2022]
Abstract
Ancillary and molecular testing of cytopathology specimens has emerged as a reliable and useful tool to provide diagnostic information and treatment-related biomarker status for the management of cancer patients. The cytology specimens obtained through minimally invasive means have proven suitable testing substrates for a variety of ancillary tests, including immunohistochemistry, fluorescence in situ hybridization, as well as polymerase chain reaction and next generation sequencing molecular techniques. By focusing specifically on the cytology specimen, this review provides an overview of basic testing considerations and assay selection in addition to updates on the ancillary testing of cytologic tumor specimens from the lung, salivary gland, and thyroid.
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Affiliation(s)
- Paul A VanderLaan
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Sinchita Roy-Chowdhuri
- Department of Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas
| | | | - Vivian L Weiss
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
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Imam S, Paparodis RD, Rafiqi SI, Ali S, Niaz A, Kanzy A, Tovar YE, Madkhali MA, Elsherif A, Khogeer F, Zahid ZA, Sarwar H, Karim T, Salim N, Jaume JC. Thyroid Cancer Screening Using Tumor-Associated DN T Cells as Immunogenomic Markers. Front Oncol 2022; 12:891002. [PMID: 35692772 PMCID: PMC9186057 DOI: 10.3389/fonc.2022.891002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThyroid nodules are an extremely common entity, and surgery is considered the ultimate diagnostic strategy in those with unclear malignant potential. Unfortunately, strategies aiming to predict the risk of malignancy have inadequate specificity. Our group recently found that the microenvironment of thyroid cancer is characterized by an enhanced immune invasion and activated immune response mediated by double-negative T lymphocytes (DN T) (CD3+CD4-CD8-), which are believed to enable or promote tumorigenesis. In the present work, we try to use the DN T cells’ proportion in thyroid fine-needle aspiration (FNA) material as a predictor of the risk of malignancy.MethodsWe recruited 127 patients and obtained ultrasound-guided FNA samples from subjects with cytology-positive or suspicious for malignancy and from those with benign nodular goiter associated with compressive symptoms (such as dysphagia, shortness of breath, or hoarseness), Hashimoto thyroiditis, and Graves’ disease. Out of 127, we investigated 46 FNA samples of patients who underwent total thyroidectomy and for which postoperative histological diagnosis by the academic pathologists was available. We specifically measured the number of cells expressing CD3+CD4-CD8- (DN T) as a function of total CD3+ cells in FNA samples using flow cytometry. We correlated their FNA DN T-cell proportions with the pathological findings.ResultsThe DN T cells were significantly more abundant in lymphocytic infiltrates of thyroid cancer cases compared to benign nodule controls (p < 0.0001). When the DN T-cell population exceeded a threshold of 9.14%, of total CD3+ cells, the negative likelihood ratio of being cancer-free was 0.034 (96.6% sensitivity, 95% CI, 0.915–1.000, p < 0.0001). DN T cells at <9.14% were not found in any subject with benign disease (specificity 100%). The high specificity of the test is promising, since it abolishes a false-positive diagnosis and in turn unnecessary surgical procedures.ConclusionThe present study proposes DN T cells’ proportion as a preoperative diagnostic signature for thyroid cancer that with integration of RNA transcriptomics can provide a simplified technology based on the PCR assay for the ease of operation.
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Affiliation(s)
- Shahnawaz Imam
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
- *Correspondence: Shahnawaz Imam, ; Juan C. Jaume,
| | - Rodis D. Paparodis
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
- Private Practitioner, Patras, Greece
| | - Shafiya Imtiaz Rafiqi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Sophia Ali
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Azra Niaz
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Abed Kanzy
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Yara E. Tovar
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Mohammed A. Madkhali
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Ahmed Elsherif
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Feras Khogeer
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Zeeshan A. Zahid
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Haider Sarwar
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
- Windsor University School of Medicine, Cayon St. Kitts West Indies, Saint Kitts and Nevis
| | - Tamanna Karim
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Nancy Salim
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
| | - Juan C. Jaume
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
- Center for Diabetes and Endocrine Research (CeDER), University of Toledo, Toledo, OH, United States
- *Correspondence: Shahnawaz Imam, ; Juan C. Jaume,
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Ren M, Yao Q, Bao L, Wang Z, Wei R, Bai Q, Ping B, Chang C, Wang Y, Zhou X, Zhu X. Diagnostic performance of next-generation sequencing and genetic profiling in thyroid nodules from a single center in China. Eur Thyroid J 2022; 11:e210124. [PMID: 35521779 PMCID: PMC9175606 DOI: 10.1530/etj-21-0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 04/28/2022] [Indexed: 11/23/2022] Open
Abstract
Objective The data regarding the mutation landscape in Chinese patients with thyroid cancer are limited. The diagnostic performance of thyroid nodules by fine-needle aspiration (FNA) cytology needs optimization, especially in indeterminate nodules. Methods A total of 1039 FNA and surgical resection samples tested using the targeted multigene next-generation sequencing (NGS) panel were retrospectively collected. The features of gene alterations in different thyroid tumors were analyzed, and the diagnostic efficacy was evaluated. Results Among 1039 samples, there were 822 FNA and 217 surgical FFPE samples. Among 207 malignant thyroid resections, a total of 181 out of 193 papillary thyroid carcinomas (PTCs) were NGS-positive (93.8%), with a high prevalence of BRAF mutations (81.9%, 158/193) and a low prevalence of RAS (1.0%, 2/193) and TERT promoter mutations (3.6%, 7/193). Gene fusions, involving the RET and NTRK3 genes, were present in 20 PTCs (10.4%) and mutually exclusive with other driver mutations. Two of three follicular thyroid carcinomas harbored multiple mutations. RET gene point mutations were common in medullary thyroid carcinoma (8/11, 72.7%). The combination of cytology and DNA-RNA-based NGS analysis demonstrated superior diagnostic value (98.0%) in FNA samples. For indeterminate thyroid nodules, the diagnostic sensitivity and specificity of NGS testing were 79.2 (38/48) and 80.0% (8/10), respectively. Two mutation-positive benign cases harbored NRAS and TSHR mutations, respectively. Conclusions Our study revealed the distinct molecular profile of thyroid tumors in the Chinese population. The combination of NGS testing and FNA cytology could facilitate the accurate diagnosis of thyroid nodules, especially for indeterminate nodules.
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Affiliation(s)
- Min Ren
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qianlan Yao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Longlong Bao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhiting Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ran Wei
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qianming Bai
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bo Ping
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cai Chang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yu Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xiaoyan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaoli Zhu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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O'Conor CJ, Dash RC, Jones CK, Jiang XS. Performance of repeat cytology with reflex ThyroSeq genomic classifier for indeterminant thyroid cytology. Cancer Cytopathol 2022; 130:469-476. [PMID: 35045202 DOI: 10.1002/cncy.22552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/04/2021] [Accepted: 12/21/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND The American Thyroid Association recommends either repeat fine-needle aspiration biopsy (FNAB) or molecular testing (eg, ThyroSeq) of Bethesda category III (atypia of undetermined significance/follicular lesion of undetermined significance [AUS/FLUS]) nodules to provide further risk stratification. How a testing algorithm that uses ancillary molecular tests performs as a reflex test for repeat sampling of indeterminant nodules remains unclear. METHODS Thyroid FNABs performed over a 24-month period that received a diagnosis of AUS/FLUS and underwent subsequent FNAB were analyzed. RESULTS In total, 187 patients were identified who received an FNAB diagnosis of AUS/FLUS and had repeat sampling. Of these patients, 64% received a subsequent indeterminant diagnosis on repeat biopsy: 7 (3.7%) repeat biopsies were diagnosed as nondiagnostic/unsatisfactory, 104 (55.6%) were diagnosed as AUS/FLUS, and 8 (4.3%) were diagnosed as follicular neoplasm/suspicious for follicular neoplasm. Of the repeat biopsied nodules, 63% underwent subsequent testing with ThyroSeq version 3. The diagnostic performance was calculated using only surgically confirmed nodules (sensitivity, 100%; specificity, 30%; positive predictive value, 41%; negative predictive value, 100%) and by assigning nonresected nodules with negative ThyroSeq or benign cytology results as benign (sensitivity, 100%; specificity, 88%; positive predictive value, 41%; negative predictive value, 100%). CONCLUSIONS In the majority of patients, repeat FNAB for AUS/FLUS did not preclude subsequent molecular ancillary testing because of the high rate of indeterminant results on repeat biopsy. The diagnostic performance of the testing algorithm reported here was very similar to other reports using either repeat biopsy or molecular testing alone. Ultimately, the algorithm of performing molecular testing on repeat indeterminant nodules increased the number of biopsies performed and lengthened the time to definitive risk stratification without a disproportionate decrease in the use of molecular testing or an appreciable improvement in diagnostic performance.
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Affiliation(s)
- Christopher J O'Conor
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.,Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - Rajesh C Dash
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - Claudia K Jones
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - Xiaoyin Sara Jiang
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
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Tong M, Li S, Li Y, Li Y, Feng Y, Che Y. Tumor invasive ability of papillary thyroid carcinomas is not conferred by acquired gene mutations. J Investig Med 2021; 69:1382-1385. [PMID: 34234011 DOI: 10.1136/jim-2021-001971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/15/2021] [Indexed: 11/04/2022]
Abstract
Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. The ability to predict whether a carcinoma would exhibit invasive ability in patients with PTC is important and has clinical implications for the selection of therapeutic strategies. Although several studies have focused on the genetic characterization of invasive cancer cells, the factors critical to the origination of invasive cancer cells are still unclear. This study aimed to determine whether genomic mutations contribute to the acquisition of the tumor invasion phenotype and to investigate the genetic features of invasive cancer cells in patients with PTC. We performed customized 48-gene deep exon sequencing in samples obtained from 88 patients with PTC via fine needle aspiration; the results revealed that no genetic changes were specifically associated with the tumor aggressiveness phenotype. Our results indicate that genetic mutations do not cause indolent PTCs to become invasive.
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Affiliation(s)
- Mengying Tong
- Department of Ultrasound, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Shuang Li
- Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yulong Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Ying Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Yue Feng
- Department of Ultrasound, First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ying Che
- Department of Ultrasound, First Affiliated Hospital of Dalian Medical University, Dalian, China
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