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Posner A, Prall OW, Sivakumaran T, Etemadamoghadam D, Thio N, Pattison A, Balachander S, Fisher K, Webb S, Wood C, DeFazio A, Wilcken N, Gao B, Karapetis CS, Singh M, Collins IM, Richardson G, Steer C, Warren M, Karanth N, Wright G, Williams S, George J, Hicks RJ, Boussioutas A, Gill AJ, Solomon BJ, Xu H, Fellowes A, Fox SB, Schofield P, Bowtell D, Mileshkin L, Tothill RW. A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary. J Pathol 2023; 259:81-92. [PMID: 36287571 PMCID: PMC10099529 DOI: 10.1002/path.6022] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/02/2022] [Accepted: 10/24/2022] [Indexed: 11/11/2022]
Abstract
Cancer of unknown primary (CUP) is a syndrome defined by clinical absence of a primary cancer after standardised investigations. Gene expression profiling (GEP) and DNA sequencing have been used to predict primary tissue of origin (TOO) in CUP and find molecularly guided treatments; however, a detailed comparison of the diagnostic yield from these two tests has not been described. Here, we compared the diagnostic utility of RNA and DNA tests in 215 CUP patients (82% received both tests) in a prospective Australian study. Based on retrospective assessment of clinicopathological data, 77% (166/215) of CUPs had insufficient evidence to support TOO diagnosis (clinicopathology unresolved). The remainder had either a latent primary diagnosis (10%) or clinicopathological evidence to support a likely TOO diagnosis (13%) (clinicopathology resolved). We applied a microarray (CUPGuide) or custom NanoString 18-class GEP test to 191 CUPs with an accuracy of 91.5% in known metastatic cancers for high-medium confidence predictions. Classification performance was similar in clinicopathology-resolved CUPs - 80% had high-medium predictions and 94% were concordant with pathology. Notably, only 56% of the clinicopathology-unresolved CUPs had high-medium confidence GEP predictions. Diagnostic DNA features were interrogated in 201 CUP tumours guided by the cancer type specificity of mutations observed across 22 cancer types from the AACR Project GENIE database (77,058 tumours) as well as mutational signatures (e.g. smoking). Among the clinicopathology-unresolved CUPs, mutations and mutational signatures provided additional diagnostic evidence in 31% of cases. GEP classification was useful in only 13% of cases and oncoviral detection in 4%. Among CUPs where genomics informed TOO, lung and biliary cancers were the most frequently identified types, while kidney tumours were another identifiable subset. In conclusion, DNA and RNA profiling supported an unconfirmed TOO diagnosis in one-third of CUPs otherwise unresolved by clinicopathology assessment alone. DNA mutation profiling was the more diagnostically informative assay. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Atara Posner
- Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Melbourne, VIC, Australia
| | - Owen Wj Prall
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Tharani Sivakumaran
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | | | - Niko Thio
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Andrew Pattison
- Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Melbourne, VIC, Australia
| | - Shiva Balachander
- Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Melbourne, VIC, Australia
| | - Krista Fisher
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Samantha Webb
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Colin Wood
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Anna DeFazio
- The Westmead Institute for Medical Research, Sydney, NSW, Australia.,Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia.,The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Nicholas Wilcken
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, NSW, Australia
| | - Bo Gao
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, NSW, Australia
| | - Christos S Karapetis
- Department of Medical Oncology, Flinders University and Flinders Medical Centre, Adelaide, SA, Australia
| | - Madhu Singh
- Department of Medical Oncology, Barwon Health Cancer Services, Geelong, VIC, Australia
| | - Ian M Collins
- Department of Medical Oncology, SouthWest HealthCare, Warrnambool and Deakin University, Geelong, VIC, Australia
| | - Gary Richardson
- Department of Medical Oncology, Cabrini Health, Melbourne, VIC, Australia
| | - Christopher Steer
- Border Medical Oncology, Albury Wodonga Regional Cancer Centre, Albury, NSW, Australia
| | - Mark Warren
- Department of Medical Oncology, Bendigo Health, Bendigo, VIC, Australia
| | - Narayan Karanth
- Division of Medicine, Alan Walker Cancer Centre, Darwin, NT, Australia
| | - Gavin Wright
- Department of Cardiothoracic Surgery, St Vincent's Hospital, Melbourne, VIC, Australia
| | - Scott Williams
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Joshy George
- Department of Computational Sciences, The Jackson Laboratory, Farmington, Connecticut, USA
| | - Rodney J Hicks
- The St Vincent's Hospital Department of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Alex Boussioutas
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Anthony J Gill
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical, Research and Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Benjamin J Solomon
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Huiling Xu
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Andrew Fellowes
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Stephen B Fox
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Penelope Schofield
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.,Department of Psychology, and Iverson Health Innovation Research Institute, Swinburne University, Melbourne, VIC, Australia.,Behavioural Sciences Unit, Health Services Research and Implementation Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - David Bowtell
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.,Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Linda Mileshkin
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Richard W Tothill
- Department of Clinical Pathology and Centre for Cancer Research, University of Melbourne, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
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Hara Y, Yamamura K, Matsumura K, Oda E, Akahoshi S, Yuki H, Tomiguchi J, Motohara T, Miyamoto H, Komohara Y, Beppu T. Laparoscopic Surgery for a Patient With Multiple Liver Metastases of Unknown Origin Concomitant With Gallbladder Tumor. In Vivo 2021; 35:2963-2968. [PMID: 34410995 DOI: 10.21873/invivo.12590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND The liver is the digestive organ where metastatic adenocarcinoma of unknown primary site is most often observed. CASE REPORT A 74-year-old man was diagnosed with a growing gallbladder tumor and multiple liver tumors limited to the left lateral sector. Liver tumors were suggested to be primary or secondary adenocarcinoma with no relation to the gallbladder tumor. Also for diagnostic purposes, laparoscopic full-thickness resection of the gallbladder, laparoscopic lateral sectionectomy and lymph node sampling were performed. The final histopathological diagnosis was hyperplastic polyp of the gallbladder and metastatic poorly differentiated adenocarcinoma of the liver. Liver tumors were suspected to originate from the stomach, duodenum, or small intestine; however, the primary sites could not be identified. The patient has been closely followed up without any chemotherapy 3 months after surgery. CONCLUSION Laparoscopic surgery can be strongly recommended for patients with multiple liver tumors of unknown origin concomitant with a gallbladder tumor.
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Affiliation(s)
- Yoshihiro Hara
- Department of Surgery, Yamaga City Medical Center, Kumamoto, Japan
| | - Kensuke Yamamura
- Department of Surgery, Yamaga City Medical Center, Kumamoto, Japan
| | - Kazuki Matsumura
- Department of Surgery, Yamaga City Medical Center, Kumamoto, Japan
| | - Eri Oda
- Department of Surgery, Yamaga City Medical Center, Kumamoto, Japan
| | | | - Hideaki Yuki
- Department of Radiology, Yamaga City Medical Center, Kumamoto, Japan
| | - Jun Tomiguchi
- Department of Gastroenterology, Yamaga City Medical Center, Kumamoto, Japan
| | - Toshihiko Motohara
- Department of Gastroenterology, Yamaga City Medical Center, Kumamoto, Japan
| | - Hideaki Miyamoto
- Department of Medical Oncology, Yamaga City Medical Center, Kumamoto, Japan
| | - Yoshihiko Komohara
- Department of Cell Pathology, Graduate School of Medicine, Kumamoto University, Kumamoto, Japan
| | - Toru Beppu
- Department of Surgery, Yamaga City Medical Center, Kumamoto, Japan;
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Uzunoglu S, Erdogan B, Kodaz H, Cinkaya A, Turkmen E, Hacibekiroglu I, Sari A, Ozen A, Usta U, Cicin I. Unknown primary adenocarcinomas: a single-center experience. Bosn J Basic Med Sci 2016; 16:292-297. [PMID: 27455119 DOI: 10.17305/bjbms.2016.1495] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 07/13/2016] [Accepted: 07/13/2016] [Indexed: 12/12/2022] Open
Abstract
This study aimed to elucidate the clinical and prognostic characteristics of a homogeneous group of patients with cancer of unknown primary (CUP). Between 1999 and 2014, CUP was diagnosed in 159 (1.3%) of 11,742 cancer patients at Trakya University Hospital (Edirne, Turkey). Ninety-seven (61%) of the 159 patients were retrospectively reviewed. Among these, 61 (62.8%) patients with adenocarcinoma were included in this study. The most frequently predicted primary tumor site was the lung (37.7%), and 59% of the patients were smokers. There was a significant relationship between smoking and the lung as a potential primary cancer site (p = 0.042). The most frequent site of metastasis was the liver (60.7%). The median number of metastases per patient was two, but patients with liver metastases had a median of five metastases. The overall median survival time was 7 months. Median survival was significantly longer in patients with a predicted primary site than in patients without the predicted site (7 vs. 6 months, respectively; p = 0.038). When the patients with predicted ovarian and peritoneal tumors were excluded from the comparison, the statistical p value was still close to significant (p = 0.07). Multivariate analysis revealed that smoking, liver metastasis, serum alkaline phosphatase ≥92 U/L, and progression in response to chemotherapy were independent predictors of a poor prognosis. The present study identified several independent prognostic factors in patients with unknown primary adenocarcinomas who received chemotherapy. Smoking, the presence of liver metastasis, and response to chemotherapy were independent risk factors for both progression-free and overall survival.
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Affiliation(s)
- Sernaz Uzunoglu
- Department of Medical Oncology, Faculty of Medicine, Trakya University, Edirne, Turkey.
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Huang CY, Lu CH, Yang CK, Hsu HC, Kuo YC, Huang WK, Chen JS, Lin YC, Chia-Yen H, Shen WC, Chang PH, Yeh KY, Hung YS, Chou WC. A Simple Risk Model to Predict Survival in Patients With Carcinoma of Unknown Primary Origin. Medicine (Baltimore) 2015; 94:e2135. [PMID: 26632736 PMCID: PMC5059005 DOI: 10.1097/md.0000000000002135] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Carcinoma of unknown primary origin (CUP) is characterized by diverse histological subtypes and clinical presentations, ranging from clinically indolent to frankly aggressive behaviors. This study aimed to identify prognostic factors of CUP and to develop a simple risk model to predict survival in a cohort of Asian patients.We retrospectively reviewed 190 patients diagnosed with CUP between 2007 and 2012 at a single medical center in Taiwan. The clinicopathological parameters and outcomes of our cohort were analyzed. A risk model was developed using multivariate logistic regression and a prognostic score was generated.The prognostic score was calculated based on 3 independent prognostic variables: the Eastern Cooperative Oncology Group (ECOG) scale (0 points if the score was 1, 2 points if it was 2-4), visceral organ involvement (0 points if no involvement, 1 point if involved), and the neutrophil-to-lymphocyte ratio (0 points if ≤3, 1 point if >3). Patients were stratified into good (score 0), intermediate (score 1-2), and poor (score 3-4) prognostic groups based on the risk model. The median survival (95% confidence interval) was 1086 days (500-1617, n = 42), 305 days (237-372, n = 75), and 64 days (44-84, n = 73) for the good, intermediate, and poor prognostic groups, respectively. The c-statistics using the risk model and ECOG scale for the outcome of 1-year mortality were 0.80 and 0.70 (P = 0.038), respectively.In this study, we developed a simple risk model that accurately predicted survival in patients with CUP. This scoring system may be used to help patients and clinicians determine appropriate treatments.
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Affiliation(s)
- Chen-Yang Huang
- From the Division of Hematology and Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou and Chang Gung University School of Medicine, Taoyuan (C-YH, C-KY, H-CH, Y-CK, W-KH, J-SC, Y-CL, C-YH, W-CS, Y-SH, W-CC); Division of Hematology and Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi (C-HL); Division of Hematology and Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung (P-HC, K-YY); and Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan (W-CC)
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