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Balgobind S, Cheung VKY, Luk P, Low THH, Wykes J, Wu R, Lee J, Ch'ng S, Palme CE, Clark JR, Gupta R. Prognostic and predictive biomarkers in head and neck cancer: something old, something new, something borrowed, something blue and a sixpence in your shoe. Pathology 2024; 56:170-185. [PMID: 38218691 DOI: 10.1016/j.pathol.2023.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 01/15/2024]
Abstract
A biomarker is a measurable indicator of biological or pathological processes or the response to an exposure or intervention and is used to guide management decisions. In head and neck pathology, biomarkers are assessed by histological criteria and immunohistochemical and molecular studies. Surgical resection remains the mainstay of management of many head and neck malignancies. Adjuvant radiotherapy and/or systemic therapy may be administered depending on the presence of adverse prognostic factors identified on histopathological or immunohistochemical examination. In this review, we outline the clinically relevant prognostic and predictive factors in head and neck malignancies including conventionally recognised factors such as tumour size, depth of invasion, lymphovascular and perineural invasion and margin status as well as novel evolving factors such as recurrent genetic rearrangements and assessment of immune checkpoints. Practical issues are discussed to assist with recognising and reporting of these factors. A summary of useful tools such as structured pathology report formats is also included to assist with comprehensive reporting of all clinically relevant parameters, minimise risk and improve workflow efficiencies.
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Affiliation(s)
- Sapna Balgobind
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, NSW Health Pathology, Sydney, NSW, Australia.
| | - Veronica K Y Cheung
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, NSW Health Pathology, Sydney, NSW, Australia
| | - Peter Luk
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, NSW Health Pathology, Sydney, NSW, Australia; Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Tsu-Hui Hubert Low
- Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia; Department of Head and Neck Surgery, Chris O'Brien Lifehouse, Camperdown, NSW, Australia; Sydney Facial Nerve Service, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - James Wykes
- Department of Head and Neck Surgery, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Raymond Wu
- Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia; Department of Radiation Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Jenny Lee
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Melanoma Institute Australia, University of Sydney, Sydney, NSW, Australia; Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Sydney Ch'ng
- Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia; Department of Head and Neck Surgery, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Carsten E Palme
- Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia; Department of Head and Neck Surgery, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Jonathan R Clark
- Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia; Department of Head and Neck Surgery, Chris O'Brien Lifehouse, Camperdown, NSW, Australia; Sydney Facial Nerve Service, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Ruta Gupta
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, NSW Health Pathology, Sydney, NSW, Australia; Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
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Takamori S, Yatabe Y, Osoegawa A, Aokage K, Yoshioka H, Miyoshi T, Mimae T, Endo M, Hattori A, Yotsukura M, Isaka T, Isaka M, Maniwa T, Nakajima R, Watanabe SI. Rare but clinically important salivary gland-type tumor of the lung: A review. Jpn J Clin Oncol 2024; 54:121-128. [PMID: 37952098 DOI: 10.1093/jjco/hyad154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 10/20/2023] [Indexed: 11/14/2023] Open
Abstract
Salivary gland-type tumor (SGT) of the lung, which arises from the bronchial glands of the tracheobronchial tree, was first recognized in the 1950s. SGT represents less than 1% of all lung tumors and is generally reported to have a good prognosis. Mucoepidermoid carcinoma (MEC) and adenoid cystic carcinoma (ACC) are the two most common subtypes, comprising more than 90% of all SGTs. The reported 5-year survival rate of patients with SGT is 63.4%. Because this type of tumor develops in major bronchi, patients with SGT commonly present with symptoms of bronchial obstruction, including dyspnea, shortness of breath, wheezing, and coughing; thus, the tumor is usually identified at an early stage. Most patients are treated by lobectomy and pneumonectomy, but bronchoplasty or tracheoplasty is often needed to preserve respiratory function. Lymphadenectomy in the surgical resection of SGT is recommended, given that clinical benefit from lymphadenectomy has been reported in patients with MEC. For advanced tumors, appropriate therapy should be considered according to the subtype because of the varying clinicopathologic features. MEC, but not ACC, is less likely to be treated with radiation therapy because of its low response rate. Although previous researchers have learned much from studying SGT over the years, the diagnosis and treatment of SGT remains a complex and challenging problem for thoracic surgeons. In this article, we review the diagnosis, prognosis, and treatment (surgery, chemotherapy, and radiotherapy) of SGT, mainly focusing on MEC and ACC. We also summarize reports of adjuvant and definitive radiation therapy for ACC in the literature.
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Affiliation(s)
- Shinkichi Takamori
- Department of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Atsushi Osoegawa
- Department of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan
| | - Keiju Aokage
- Division of Thoracic Surgery, National Cancer Center Hospital East, Chiba, Japan
| | - Hiroshige Yoshioka
- Department of Thoracic Oncology, Kansai Medical University Hospital, Osaka, Japan
| | - Tomohiro Miyoshi
- Division of Thoracic Surgery, National Cancer Center Hospital East, Chiba, Japan
| | - Takahiro Mimae
- Department of Surgical Oncology, Hiroshima University, Hiroshima, Japan
| | - Makoto Endo
- Department of Thoracic Surgery, Yamagata Prefectural Central Hospital, Yamagata, Japan
| | - Aritoshi Hattori
- Division of General Thoracic Surgery, Juntendo University Hospital, Tokyo, Japan
| | - Masaya Yotsukura
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Tetsuya Isaka
- Department of Thoracic Surgery, Kanagawa Cancer Center, Kanagawa, Japan
| | - Mitsuhiro Isaka
- Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan
| | - Tomohiro Maniwa
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Ryu Nakajima
- Division of Thoracic Surgery, Osaka City General Hospital, Osaka, Japan
| | - Shun-Ichi Watanabe
- Division of General Thoracic Surgery, Juntendo University Hospital, Tokyo, Japan
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Lennerz JK, Salgado R, Kim GE, Sirintrapun SJ, Thierauf JC, Singh A, Indave I, Bard A, Weissinger SE, Heher YK, de Baca ME, Cree IA, Bennett S, Carobene A, Ozben T, Ritterhouse LL. Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML. Clin Chem Lab Med 2023; 61:544-557. [PMID: 36696602 DOI: 10.1515/cclm-2022-1151] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/13/2023] [Indexed: 01/26/2023]
Abstract
BACKGROUND Laboratory medicine has reached the era where promises of artificial intelligence and machine learning (AI/ML) seem palpable. Currently, the primary responsibility for risk-benefit assessment in clinical practice resides with the medical director. Unfortunately, there is no tool or concept that enables diagnostic quality assessment for the various potential AI/ML applications. Specifically, we noted that an operational definition of laboratory diagnostic quality - for the specific purpose of assessing AI/ML improvements - is currently missing. METHODS A session at the 3rd Strategic Conference of the European Federation of Laboratory Medicine in 2022 on "AI in the Laboratory of the Future" prompted an expert roundtable discussion. Here we present a conceptual diagnostic quality framework for the specific purpose of assessing AI/ML implementations. RESULTS The presented framework is termed diagnostic quality model (DQM) and distinguishes AI/ML improvements at the test, procedure, laboratory, or healthcare ecosystem level. The operational definition illustrates the nested relationship among these levels. The model can help to define relevant objectives for implementation and how levels come together to form coherent diagnostics. The affected levels are referred to as scope and we provide a rubric to quantify AI/ML improvements while complying with existing, mandated regulatory standards. We present 4 relevant clinical scenarios including multi-modal diagnostics and compare the model to existing quality management systems. CONCLUSIONS A diagnostic quality model is essential to navigate the complexities of clinical AI/ML implementations. The presented diagnostic quality framework can help to specify and communicate the key implications of AI/ML solutions in laboratory diagnostics.
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Affiliation(s)
- Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital/Harvard Medical, Boston, MA, USA
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
- Division of Research, Peter Mac Callum Cancer Centre, Melbourne, Australia
| | - Grace E Kim
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | | | - Julia C Thierauf
- Department of Pathology, Massachusetts General Hospital/Harvard Medical, Boston, MA, USA
- Department of Otorhinolaryngology, Head and Neck Surgery, German Cancer Research Center (DKFZ), Heidelberg University Hospital and Research Group Molecular Mechanisms of Head and Neck Tumors, Heidelberg, Germany
| | - Ankit Singh
- Department of Pathology, Massachusetts General Hospital/Harvard Medical, Boston, MA, USA
| | - Iciar Indave
- European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), Lisbon, Portugal
| | - Adam Bard
- Department of Pathology, Massachusetts General Hospital/Harvard Medical, Boston, MA, USA
| | | | - Yael K Heher
- Department of Pathology, Massachusetts General Hospital/Harvard Medical, Boston, MA, USA
| | | | - Ian A Cree
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France
| | - Shannon Bennett
- Department of Laboratory Medicine and Pathology (DLMP), Mayo Clinic, Rochester, MN, USA
| | - Anna Carobene
- IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Tomris Ozben
- Medical Faculty, Dept. of Clinical Biochemistry, Akdeniz University, Antalya, Türkiye
- Medical Faculty, Clinical and Experimental Medicine, Ph.D. Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Lauren L Ritterhouse
- Department of Pathology, Massachusetts General Hospital/Harvard Medical, Boston, MA, USA
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Bishop JA, Thompson LDR, Siegele B, Gagan J, Mansour M, Chernock RD, Rooper LM. Mucoepidermoid carcinoma may be devoid of squamoid cells by immunohistochemistry: expanding the histologic and immunohistochemical spectrum of MAML2- rearranged salivary gland tumours. Histopathology 2023; 82:305-313. [PMID: 36208053 DOI: 10.1111/his.14817] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 12/13/2022]
Abstract
Mucoepidermoid carcinoma (MEC) is historically defined by a mix of squamoid, intermediate, and mucous cells, but we have recently encountered several cases lacking immunoreactivity for squamous markers p40, p63, and CK5/6 despite MAML2 fusions. This study will characterise these unique tumours. Ten MEC were collected arising from the parotid gland (n = 4), submandibular gland (n = 2), nasopharynx (n = 1), base of tongue (n = 1), bronchus (n = 1), and trachea (n = 1). Six tumours were low-grade, two intermediate-grade, one high-grade, and one demonstrated low-grade areas with high-grade transformation. Four cases were oncocytic, four had clear-cell features, two had spindle cell features, and one high-grade MEC had prominent solid, cord-like, and micropapillary features. The tumours were negative for p40 (10/10), p63 (10/10), and CK5/6 (9/9). Targeted RNA sequencing demonstrated CRTC1::MAML2 in five cases, CRTC3::MAML2 in two, and a novel MAML2::CEP126 in the unusual high-grade case. In two cases with insufficient RNA, MAML2 fluorescence in situ hybridisation (FISH) showed rearrangement. Genetically-confirmed MEC may lack overt squamous differentiation by histology and immunohistochemistry. While most cases harboured canonical fusions and fit within the spectra of MEC variants with oncocytic, clear cell, and/or spindle cell features, one had a novel MAML2::CEP126 fusion and unusual morphology. In MEC without squamoid cells, the use of immunohistochemistry may hinder, rather than aid, the correct diagnosis. In such cases, MAML2 analysis is most useful. The historical definition of MEC as a carcinoma with squamoid, intermediate and mucous cells should be revisited.
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Affiliation(s)
- Justin A Bishop
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Bradford Siegele
- Department of Pathology and Laboratory Services, Children's Hospital Colorado, Aurora, CO, USA
| | - Jeffrey Gagan
- Department of Pathology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Mena Mansour
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rebecca D Chernock
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lisa M Rooper
- Department of Pathology, The Johns Hopkins Hospital, Baltimore, MD, USA
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Chen R, Wang B, Li L, Xue L. Mucoepidermoid carcinoma of the esophagus with MAML2 gene rearrangement: Case report and literature review. Pathol Res Pract 2023; 241:154242. [PMID: 36481651 DOI: 10.1016/j.prp.2022.154242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 11/17/2022] [Accepted: 11/23/2022] [Indexed: 12/04/2022]
Abstract
Mucoepidermoid carcinoma (MEC) is the most common salivary gland malignancy but rarely occurs in the esophagus. It is easily confused with adenosquamous carcinoma and squamous cell carcinoma (SCC) with mucus-secreting components. MAML2 gene rearrangement detected by fluorescence in situ hybridization (FISH), RT-PCR or next-generation sequencing (NGS) can aid in the diagnosis. We present a case of esophageal MEC with MAML2 gene rearrangement detected by FISH. To the best of our knowledge, this is the first report of an esophageal MEC with MAML2 gene rearrangement. We also reveal that esophageal MEC patients were reported to have a higher risk of recurrence and death than SCC patients in previous literature. However, all the cases were diagnosed using previous diagnostic criteria and not confirmed by MAML2 gene rearrangement detection, and most of them might not be true MECs.
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Affiliation(s)
- Rongshan Chen
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Bingzhi Wang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Lin Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Liyan Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; Center for Cancer Precision Medicine, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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Ribeiro EA, Maleki Z. Cystic Salivary Gland Neoplasms: Diagnostic Approach With a Focus on Ancillary Studies. Adv Anat Pathol 2022; 29:365-372. [PMID: 36044380 DOI: 10.1097/pap.0000000000000361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Cystic salivary gland cytology can be challenging due to the fact that a cystic mass can be the clinical presentation of both non-neoplastic and neoplastic conditions. Neoplastic lesions consist of both benign and malignant neoplasms. The cytomorphologic features of these entities can overlap and the cystic background may additionally contribute to the complexity of these lesions and their interpretation. Ancillary studies have been reported in several studies to be beneficial in further characterization of the cellular components and subsequent diagnosis of the cystic lesions of the salivary gland. Fluorescence in situ hybridization, real-time polymerase chain reaction, and next-generation sequencing are now being utilized to detect molecular alterations in salivary gland neoplasms. MALM2 rearrangement is the most common gene fusion in mucoepidermoid carcinoma. PLAG1 rearrangement is present in more than half of pleomorphic adenomas. AKT1:E17K mutation is the key diagnostic feature of the mucinous adenocarcinoma. NR4A3 overexpression is highly sensitive and specific for the diagnosis of acinic cell carcinoma. MYB fusion is noted in adenoid cystic carcinoma. ETV6:NTRK3 fusion is helpful in diagnosis of secretory carcinoma. p16 and human papillomavirus (HPV) studies differentiate HPV-related squamous cell carcinoma from non-HPV-related neoplasms with overlapping features. NCOA4:RET fusion protein is the main fusion in intraductal carcinoma.
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Affiliation(s)
- Efrain A Ribeiro
- Department of Pathology, The Johns Hopkins University School of Medicine and The Johns Hopkins Hospital, Baltimore, MD
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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: 2.0] [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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