2
|
Metovic J, Castellano I, Marinelli E, Osella-Abate S, Sapino A, Cassoni P, Papotti M. INSM1 Expression in Breast Neoplasms with Neuroedocrine Features. Endocr Pathol 2021; 32:452-460. [PMID: 34008122 PMCID: PMC8608773 DOI: 10.1007/s12022-021-09682-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/11/2021] [Indexed: 11/29/2022]
Abstract
According to the 2019 WHO classification of breast tumors, neuroendocrine neoplasms (NENs) are classified into well-differentiated NE tumors (NET) and poorly differentiated NE carcinomas (NEC), while other breast cancers (BCs) of special and no special type with neuroendocrine (NE) features are not incorporated in this scheme anymore. We aimed to assess whether INSM1, a novel NE marker, could have a role in breast NEN subtyping. We selected 63 BCs operated from 2003 to 2018, classified as BCs with NE features, with available clinico-pathological data. Following 2019 WHO criteria, this cohort was reclassified into 37 NETs/NECs, the remaining 26 tumors representing solid-papillary (7), mucinous (7), and mixed type (12) carcinomas with NE differentiation. Chromogranin A (CGA) and synaptophysin (SYN) immunostains were reviewed, and INSM1 was tested by immunohistochemistry. Thirty CGA- and SYN-negative no special type BCs served as negative control. INSM1 was expressed in 52/63 cases of the whole cohort (82.54%). INSM1 positive and negative cases had no significantly different clinico-pathological characteristics. INSM1 expression was not significantly different between the newly reclassified NET/NEC group and other BCs with NE features. No immunoexpression was observed in control BCs. The sensitivity and specificity of INSM1 for the NE phenotype was 82.5% and 100%, respectively, compared to 61.9% and 100% for CGA, and 95.2 and 100% for SYN. In conclusion, INSM1 is as accurate as traditional NE biomarkers to identify NE differentiation in BC. In analogy to standard NE markers, INSM1 could not distinguish NET and NEC from the other BC histotypes with NE differentiation.
Collapse
Affiliation(s)
- Jasna Metovic
- Department of Oncology, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy
| | - Isabella Castellano
- Department of Medical Sciences, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy.
| | - Eleonora Marinelli
- Department of Oncology, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy
| | - Simona Osella-Abate
- Department of Medical Sciences, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy
| | - Anna Sapino
- Department of Medical Sciences, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy
- Pathology Division, Candiolo Cancer Institute, FPO-IRCCS, 10060, Candiolo, Italy
| | - Paola Cassoni
- Department of Medical Sciences, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy
| | - Mauro Papotti
- Department of Oncology, Pathology Unit, University of Turin, Via Santena 7, 10126, Turin, Italy
| |
Collapse
|
7
|
Durinck S, Stawiski EW, Pavía-Jiménez A, Modrusan Z, Kapur P, Jaiswal BS, Zhang N, Toffessi-Tcheuyap V, Nguyen TT, Pahuja KB, Chen YJ, Saleem S, Chaudhuri S, Heldens S, Jackson M, Peña-Llopis S, Guillory J, Toy K, Ha C, Harris CJ, Holloman E, Hill HM, Stinson J, Rivers CS, Janakiraman V, Wang W, Kinch LN, Grishin NV, Haverty PM, Chow B, Gehring JS, Reeder J, Pau G, Wu TD, Margulis V, Lotan Y, Sagalowsky A, Pedrosa I, de Sauvage FJ, Brugarolas J, Seshagiri S. Spectrum of diverse genomic alterations define non-clear cell renal carcinoma subtypes. Nat Genet 2014; 47:13-21. [PMID: 25401301 DOI: 10.1038/ng.3146] [Citation(s) in RCA: 276] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 10/24/2014] [Indexed: 12/17/2022]
Abstract
To further understand the molecular distinctions between kidney cancer subtypes, we analyzed exome, transcriptome and copy number alteration data from 167 primary human tumors that included renal oncocytomas and non-clear cell renal cell carcinomas (nccRCCs), consisting of papillary (pRCC), chromophobe (chRCC) and translocation (tRCC) subtypes. We identified ten significantly mutated genes in pRCC, including MET, NF2, SLC5A3, PNKD and CPQ. MET mutations occurred in 15% (10/65) of pRCC samples and included previously unreported recurrent activating mutations. In chRCC, we found TP53, PTEN, FAAH2, PDHB, PDXDC1 and ZNF765 to be significantly mutated. Gene expression analysis identified a five-gene set that enabled the molecular classification of chRCC, renal oncocytoma and pRCC. Using RNA sequencing, we identified previously unreported gene fusions, including ACTG1-MITF fusion. Ectopic expression of the ACTG1-MITF fusion led to cellular transformation and induced the expression of downstream target genes. Finally, we observed upregulation of the anti-apoptotic factor BIRC7 in MiTF-high RCC tumors, suggesting a potential therapeutic role for BIRC7 inhibitors.
Collapse
Affiliation(s)
- Steffen Durinck
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA.,Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Eric W Stawiski
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA.,Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Andrea Pavía-Jiménez
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Zora Modrusan
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Payal Kapur
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Bijay S Jaiswal
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Na Zhang
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Vanina Toffessi-Tcheuyap
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Thong T Nguyen
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Kanika Bajaj Pahuja
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Ying-Jiun Chen
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Sadia Saleem
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Subhra Chaudhuri
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Sherry Heldens
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Marlena Jackson
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Samuel Peña-Llopis
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Joseph Guillory
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Karen Toy
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Connie Ha
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Corissa J Harris
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Eboni Holloman
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Haley M Hill
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jeremy Stinson
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | | | | | - Weiru Wang
- Structural Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Lisa N Kinch
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Nick V Grishin
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Peter M Haverty
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Bernard Chow
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Julian S Gehring
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Jens Reeder
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Gregoire Pau
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Thomas D Wu
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Vitaly Margulis
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Yair Lotan
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Arthur Sagalowsky
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ivan Pedrosa
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Frederic J de Sauvage
- Molecular Oncology Department, Genentech, Inc., South San Francisco, California, USA
| | - James Brugarolas
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Somasekar Seshagiri
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| |
Collapse
|