51
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Li Y, Wang X, Hou X, Ma X. Could Inhibiting the DNA Damage Repair Checkpoint Rescue Immune-Checkpoint-Inhibitor-Resistant Endometrial Cancer? J Clin Med 2023; 12:jcm12083014. [PMID: 37109350 PMCID: PMC10144486 DOI: 10.3390/jcm12083014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/23/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Endometrial cancer (EC) is increasingly undermining female health worldwide, with poor survival rates for advanced or recurrent/metastatic diseases. The application of immune checkpoint inhibitors (ICIs) has opened a window of opportunity for patients with first-line therapy failure. However, there is a subset of patients with endometrial cancer who remain insensitive to immunotherapy alone. Therefore, it is necessary to develop new therapeutic agents and further explore reliable combinational strategies to optimize the efficacy of immunotherapy. DNA damage repair (DDR) inhibitors as novel targeted drugs are able to generate genomic toxicity and induce cell death in solid tumors, including EC. Recently, growing evidence has demonstrated the DDR pathway modulates innate and adaptive immunity in tumors. In this review, we concentrate on the exploration of the intrinsic correlation between DDR pathways, especially the ATM-CHK2-P53 pathway and the ATR-CHK1-WEE1 pathway, and oncologic immune response, as well as the feasibility of adding DDR inhibitors to ICIs for the treatment of patients with advanced or recurrent/metastatic EC. We hope that this review will offer some beneficial references to the investigation of immunotherapy and provide a reasonable basis for "double-checkpoint inhibition" in EC.
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Affiliation(s)
- Yinuo Li
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiangyu Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Hou
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiangyi Ma
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Corr BR, Moroney MR, Woodruff E, Watson ZL, Jordan KR, Danhorn T, Bailey C, Wolsky RJ, Bitler BG. Combination CDC-like kinase inhibition (CLK)/Dual-specificity tyrosine-regulated kinase (DYRK) and taxane therapy in CTNNB1-mutated endometrial cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.04.535570. [PMID: 37066339 PMCID: PMC10104048 DOI: 10.1101/2023.04.04.535570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
SM08502 (cirtuvivint) is a novel pan CDC-like kinase (CLK) and Dual specificity tyrosine kinase (DYRK) inhibitor that targets mRNA splicing and is optimized for Wnt pathway inhibition. Previous evaluation of single agent CLK/DYRK inhibition (SM04690) demonstrated inhibition of tumor progression and β-catenin/TCF transcriptional activity in CTNNB1-mutant endometrial cancer (EC). In-vitro analysis of SM08502 similarly decreases Wnt transcriptional activity and cellular proliferation while increasing cellular apoptosis. SM08502 is an active single-agent therapy with IC50's in the nanomolar range for all EC cell lines evaluated. Combination of SM08502 with paclitaxel has synergistic effect in vitro, as demonstrated by Combination Index <1, and inhibits tumor progression in four endometrial cancer models (HEC265, Ishikawa, Ishikawa-S33Y, and SNGM). In our in vivo mouse models, Ishikawa demonstrated significantly lower tumor volumes of combination vs SM08502 alone (Repeated Measures one-way ANOVA, p = 0.04), but not vs paclitaxel alone. HEC265, SNGM, and Ishikawa-S33Y tumors all had significantly lower tumor volumes with combination SM08502 and paclitaxel compared to single-agent paclitaxel (Repeated Measures one-way ANOVA, p = 0.01, 0.004, and 0.0008, respectively) or single-agent SM08502 (Repeated Measures one-way ANOVA, p = 0.002, 0.005, and 0.01, respectively) alone. Mechanistically, treatment with SM08502 increases alternative splicing (AS) events compared to treatment with paclitaxel. AS regulation is an important post-transcriptional mechanism associated with the oncogenic process in many cancers, including EC. Results from these studies have led to a Phase I evaluation of this combination in recurrent EC.
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Affiliation(s)
- Bradley R Corr
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Marisa R Moroney
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Elizabeth Woodruff
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Zachary L Watson
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kimberly R Jordan
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Thomas Danhorn
- University of Colorado Cancer Center, University of Colorado School of Medicine, Aurora, Colorado, USA; Department of Pharmacology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Courtney Bailey
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Rebecca J Wolsky
- Department of Pathology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Benjamin G Bitler
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado, USA
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Perrone E, Capasso I, De Felice F, Giannarelli D, Dinoi G, Petrecca A, Palmieri L, Foresta A, Nero C, Arciuolo D, Lorusso D, Zannoni GF, Scambia G, Fanfani F. Back to the future: The impact of oestrogen receptor profile in the era of molecular endometrial cancer classification. Eur J Cancer 2023; 186:98-112. [PMID: 37062213 DOI: 10.1016/j.ejca.2023.03.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 03/13/2023] [Accepted: 03/15/2023] [Indexed: 04/18/2023]
Abstract
PURPOSE The aim of this study is to evaluate the impact of the oestrogen receptor (ER) profile on oncologic outcomes in the new endometrial cancer (EC) risk classification. METHODS Immunohistochemistry (IHC) analyses were performed in a retrospectively reviewed large series of ECs to assess the presence/absence of oestrogen receptors (ER0\1+ or ER2+\3+) and other molecular factors (i.e. p53 mutation, p53mut; and mismatch repair mutational status, MMRd (mismatch repair deficient) versus MMRp (mismatch repair proficient)), histopathologic and clinical outcomes. ER status was correlated with molecular, histologic, clinical and prognostic data. RESULTS 891 EC patients were included in the study (211 ER0\1+ and 680 ER2+\3+). The ER0\1+ phenotype was associated with an unfavourable clinicopathological profile (i.e. grading, histotype, lymphovascular space invasion (LVSI), stages, etc.). Simple regression showed that risk class, p53mut, and ER0/1+ impacted on both disease-free survival (DFS) and overall survival (OS) (p < 0.05). In the ER0/1+ population, p53mut no longer influenced DFS and OS (p > 0.05). In multiple regression, age, high and advanced/metastatic risk classes influenced survival outcomes (p < 0.05), but lost significance in the ER0/1+ population (p > 0.05). ER-positivity retained a remarkable prognostic impact even after stratification of the population according to the European Society of Gynaecological Oncology, the European Society for Radiotherapy and Oncology, and the European Society of Pathology (ESGO/ESTRO/ESP) 2021 risk classes and molecular classification. ER0/1+ intermediate, high-intermediate, high and advanced risk versus ER2+/3+ intermediate, high-intermediate, high and advanced risk classes showed statistically different OS and DFS (p< 0.001). ER0/1+ status was associated with a worse prognosis when associated with MMRp, MMRd and p53mut compared to the same molecular classes associated with ER2+/3 (p < 0.001). CONCLUSIONS We demonstrated that ER status has a significant impact on oncologic outcomes, regardless of risk class and p53/MMR status. Based on our results, we recommend the inclusion of ER assessment in featured EC risk classification system.
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Affiliation(s)
- Emanuele Perrone
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy
| | - Ilaria Capasso
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy
| | - Francesca De Felice
- Department of Radiotherapy, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Diana Giannarelli
- Facility of Epidemiology and Biostatistics, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Roma, Italy
| | - Giorgia Dinoi
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy
| | - Alessandro Petrecca
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy
| | - Luca Palmieri
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy
| | - Aniello Foresta
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy
| | - Camilla Nero
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy
| | - Damiano Arciuolo
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Gyneco-pathology and Breast Pathology Unit, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Domenica Lorusso
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy.
| | - Gian Franco Zannoni
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Gyneco-pathology and Breast Pathology Unit, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Giovanni Scambia
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy
| | - Francesco Fanfani
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Roma, Italy; Università Cattolica del Sacro Cuore, Roma, Italy
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54
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Travaglino A, Arciuolo D, Raffone A, Santoro A, Piermattei A, Navarra E, Minucci A, Mascolo M, Scaglione G, D'alessandris N, Valente M, Inzani F, Mollo A, Insabato L, Zannoni GF. Endometrial carcinomas with dyshesive, eosinophilic, and vacuolated (histiocyte-like) tumor cells: a reactive-like phenotype associated with aggressive behavior. Virchows Arch 2023; 482:635-640. [PMID: 36205778 DOI: 10.1007/s00428-022-03411-7] [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: 06/10/2022] [Revised: 08/10/2022] [Accepted: 09/08/2022] [Indexed: 10/10/2022]
Abstract
Herein, we present a clinicopathological and molecular analysis of four cases of endometrial carcinoma (EC) diffusely exhibiting dyshesive cells with wide eosinophilic and vacuolated cytoplasm (histiocyte-like tumor cells, HLTCs). We compared these HLTCs to similar cells found in microcystic, elongated and fragmented (MELF) pattern (n = 20) or after neoadjuvant chemotherapy (NAC) (n = 5). The four cases were endometrioid, serous, clear cell, and gastric-type; all were at FIGO stage ≥ III. HLTCs showed an epithelial Müllerian phenotype and at least focal CK20, HNF1β, and CK5/6 expression, with aberrant e-cadherin and β-catenin expression; two cases were MMR-deficient, and one was p53-abnormal; all were POLE wild type. MELF-associated and NAC-associated HLTCs showed similar morphological/immunophenotypical features. However, MELF-associated HLTCs were mainly intraglandular and inflammation-associated, did not form a distinct tumor component, and showed no relationship with lymph node metastases. In conclusion, different histotypes of EC may show a prominent HLTC component, which shows peculiar morphological/immunophenotypical features and appears associated with aggressive behavior.
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Affiliation(s)
- Antonio Travaglino
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Pathology Unit, Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Damiano Arciuolo
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Institute of Pathology, Catholic University of the Sacred Hearth, Rome, Italy
| | - Antonio Raffone
- Division of Gynecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliero, Univeristaria Di Bologna. S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Angela Santoro
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Alessia Piermattei
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Elena Navarra
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Angelo Minucci
- Molecular and Genomic Diagnostics Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Massimo Mascolo
- Pathology Unit, Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Giulia Scaglione
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | | | - Michele Valente
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Frediano Inzani
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Antonio Mollo
- Gynecology and Obstetrics Unit, Department of Medicine, Surgery and Dentistry "Schola Medica Salernitana", University of Salerno, Baronissi, Italy
| | - Luigi Insabato
- Pathology Unit, Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Gian Franco Zannoni
- Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
- Institute of Pathology, Catholic University of the Sacred Hearth, Rome, Italy.
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55
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Jamieson A, Huvila J, Leung S, Chiu D, Thompson EF, Lum A, Kinloch M, Helpman L, Salvador S, Vicus D, Kean S, Samouelian V, Grondin K, Irving J, Offman S, Parra-Herran C, Lau S, Scott S, Plante M, McConechy MK, Huntsman DG, Talhouk A, Kommoss S, Gilks CB, McAlpine JN. Molecular subtype stratified outcomes according to adjuvant therapy in endometrial cancer. Gynecol Oncol 2023; 170:282-289. [PMID: 36753816 DOI: 10.1016/j.ygyno.2023.01.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/08/2023] [Accepted: 01/18/2023] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Recent data support the predictive implications of molecular subtype assignment in endometrial cancer (EC). Our objective was to retrospectively assess clinical outcomes according to adjuvant treatment received within EC molecular subtypes. METHODS Clinical outcomes (disease-specific and progression-free survival DSS/PFS) of EC patients from a single institution and population-based cohorts that had undergone molecular classification were assessed with respect to adjuvant therapy received and 2016 ESMO risk group. RESULTS 2472 ECs were assessed; 184 (7.4%) POLEmut, 638 (25.8%) MMRd, 1223 (49.5%) NSMP and 427 (17.3%) p53abn. N = 774 (34.6%) of the cohort were ESMO 2016 high risk and 109 (4.8%) were advanced or metastatic. In patients with MMRd EC, assessed across and within stage, there was no observed benefit in DSS or PFS with the addition of chemotherapy +/- radiation compared to radiation alone in ESMO high risk (p = 0.694) or ESMO high, advanced, metastatic risk groups combined (p = 0.852). In patients with p53abn EC, adjuvant chemotherapy given with radiation was associated with significantly longer DSS compared to radiation alone in ESMO high risk (p = 0.007) and ESMO high, advanced and metastatic risk groups combined (p = 0.015), even when restricted to stage I disease (p < 0.001) and when compared in serous vs. non-serous histotypes (p = 0.009). CONCLUSIONS Adjuvant chemotherapy is associated with more favorable outcomes for patients with p53abn EC, including stage I disease and non-serous histotypes, but does not appear to add benefit within MMRd ECs for any stage of disease, consistent with PORTEC-3 molecular subanalysis. Prospective trials, assessing treatment efficacy within molecular subtype are needed, however these 'real-world' data should be considered when discussing adjuvant treatment with patients.
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Affiliation(s)
- Amy Jamieson
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, University of British Columbia, Vancouver, Canada
| | - Jutta Huvila
- Department of Pathology, University of Turku, Turku University Hospital, Turku, Finland
| | - Samuel Leung
- Department of Molecular Oncology, University of British Columbia, Vancouver, Canada
| | - Derek Chiu
- Department of Molecular Oncology, University of British Columbia, Vancouver, Canada
| | - Emily F Thompson
- Department of Molecular Oncology, University of British Columbia, Vancouver, Canada
| | - Amy Lum
- Department of Molecular Oncology, University of British Columbia, Vancouver, Canada
| | - Mary Kinloch
- Department of Pathology, University of Saskatchewan, Saskatoon, Canada
| | - Limor Helpman
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, McMaster University, Hamilton, Canada
| | - Shannon Salvador
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, McGill University, Montreal, Canada
| | - Danielle Vicus
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, University of Toronto, Toronto, Canada
| | - Sarah Kean
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, University of Manitoba, Winnipeg, Canada
| | - Vanessa Samouelian
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, University of Montreal, Montreal, Canada
| | | | - Julie Irving
- Department of Pathology, University of British Columbia, Vancouver, Canada
| | - Saul Offman
- Department of Pathology, Dalhousie University, Halifax, Canada
| | | | - Susie Lau
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, McGill University, Montreal, Canada
| | - Stephanie Scott
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, Dalhousie University, Halifax, Canada
| | - Marie Plante
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, Laval University, Quebec City, Canada
| | | | - David G Huntsman
- Department of Molecular Oncology, University of British Columbia, Vancouver, Canada; Imagia Canexia Health, Inc., Vancouver, Canada
| | - Aline Talhouk
- Department of Molecular Oncology, University of British Columbia, Vancouver, Canada
| | - Stefan Kommoss
- Department of Women's Health, Tübingen University Hospital, Tübingen, Germany
| | - C Blake Gilks
- Department of Pathology, University of British Columbia, Vancouver, Canada
| | - Jessica N McAlpine
- Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, University of British Columbia, Vancouver, Canada.
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56
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Asami Y, Kobayashi Kato M, Hiranuma K, Matsuda M, Shimada Y, Ishikawa M, Koyama T, Komatsu M, Hamamoto R, Nagashima M, Terao Y, Itakura A, Kohno T, Sekizawa A, Matsumoto K, Kato T, Shiraishi K, Yoshida H. Utility of molecular subtypes and genetic alterations for evaluating clinical outcomes in 1029 patients with endometrial cancer. Br J Cancer 2023; 128:1582-1591. [PMID: 36797358 PMCID: PMC10070437 DOI: 10.1038/s41416-023-02203-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND We investigated the utility of a molecular classifier tool and genetic alterations for predicting prognosis in Japanese patients with endometrial cancer. METHODS A total of 1029 patients with endometrial cancer from two independent cohorts were classified into four molecular subtype groups. The primary and secondary endpoints were relapse-free survival (RFS) and overall survival (OS), respectively. RESULTS Among the 265 patients who underwent initial surgery, classified according to immunohistochemistry, patients with DNA polymerase epsilon exonuclease domain mutation had an excellent prognosis (RFS and OS), patients with no specific molecular profile (NSMP) and mismatch repair protein deficiency had an intermediate prognosis, and those with protein 53 abnormal expression (p53abn) had the worst prognosis (P < 0.001). In the NSMP group, mutant KRAS and wild-type ARID1A were associated with significantly poorer 5-year RFS (41.2%) than other genomic characteristics (P < 0.001). The distribution of the subtypes differed significantly between patients with recurrence/progression and classified by sequencing (n = 764) and patients who underwent initial surgery (P < 0.001). Among patients with recurrence/progression, 51.4% had the opportunity to receive molecular targeted therapy. CONCLUSIONS A molecular classifier is a useful tool for determining prognosis and eligibility for molecularly targeted therapy in patients with endometrial cancer.
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Affiliation(s)
- Yuka Asami
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.,Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan
| | - Mayumi Kobayashi Kato
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.,Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan
| | - Kengo Hiranuma
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.,Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan
| | - Maiko Matsuda
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan
| | - Yoko Shimada
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan
| | - Mitsuya Ishikawa
- Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan
| | - Takafumi Koyama
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, 104-0045, Japan
| | - Masaaki Komatsu
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.,Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.,Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan
| | - Minoru Nagashima
- Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan
| | - Yasuhisa Terao
- Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan
| | - Atsuo Itakura
- Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan
| | - Akihiko Sekizawa
- Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan
| | - Koji Matsumoto
- Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan
| | - Tomoyasu Kato
- Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
| | - Hiroshi Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, 104-0045, Tokyo, Japan.
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57
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Cuccu I, D’Oria O, Sgamba L, De Angelis E, Golia D’Augè T, Turetta C, Di Dio C, Scudo M, Bogani G, Di Donato V, Palaia I, Perniola G, Tomao F, Muzii L, Giannini A. Role of Genomic and Molecular Biology in the Modulation of the Treatment of Endometrial Cancer: Narrative Review and Perspectives. Healthcare (Basel) 2023; 11:healthcare11040571. [PMID: 36833105 PMCID: PMC9957190 DOI: 10.3390/healthcare11040571] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
Endometrial cancer (EC) is one of the most common gynecological malignancies in Western countries. Traditionally, loco-reginal dissemination and histological characteristics are the main prognostic factors. Nowadays, molecular and genomic profiling showed exciting results in terms of prognostication. According to the data provided by The Cancer Genome Atlas and other studies, molecular and genomic profiling might be useful in identifying patients al low, intermediate, and high risk of recurrence. However, data regarding the therapeutic value are scant. Several prospective studies are ongoing to identify the most appropriate adjuvant strategy in EC patients, especially for those with positive nodes and low volume disease. The molecular classification has offered the possibility to improve the risk stratification and management of EC. The aim of this review is to focus on the evolution of molecular classification in EC and its impact on the research approach and on clinical management. Molecular and genomic profiling might be useful to tailor the most appropriate adjuvant strategies in apparent early-stage EC.
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Affiliation(s)
- Ilaria Cuccu
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Ottavia D’Oria
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
- Department of Medical and Surgical Sciences and Translational Medicine, Translational Medicine and Oncology, Sapienza University, 00161 Rome, Italy
- Correspondence:
| | - Ludovica Sgamba
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Emanuele De Angelis
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Tullio Golia D’Augè
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Camilla Turetta
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Camilla Di Dio
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Maria Scudo
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Giorgio Bogani
- Department of Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy
| | - Violante Di Donato
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Innocenza Palaia
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Giorgia Perniola
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Federica Tomao
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Ludovico Muzii
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Andrea Giannini
- Department of Gynecological, Obstetrical and Urological Sciences, Sapienza University of Rome, 00161 Rome, Italy
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Molecular portraits of clear cell ovarian and endometrial carcinoma with comparison to clear cell renal cell carcinoma. Gynecol Oncol 2023; 169:164-171. [PMID: 36333181 DOI: 10.1016/j.ygyno.2022.10.020] [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: 05/17/2022] [Revised: 10/16/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Advanced clear cell gynecologic malignancies remain among the most challenging diseases to manage. We evaluated ovarian and endometrial clear cell carcinoma (OCCC and ECCC) specimens using comprehensive sequencing technology to identify mutational targets and compared their molecular profiles to histologically similar clear cell renal cell carcinoma (ccRCC). METHODS Using next-generation sequencing (NGS), fragment analysis (FA), and in situ hybridization (ISH), 164 OCCC, 75 ECCC and 234 ccRCC specimens from 2015 to 2018 were evaluated and compared. RESULTS The highest mutation rates in ECCC and OCCC were noted in: ARID1A (75.0%, 87.5%), TP53 (34.8%, 11.1%), PIK3CA (25.0%, 46.8%), PPP2R1A (8.7%, 16.7%), MSI-high (8.8%, 6.4%) and PTEN (8.3%, 7.1%). Among these mutations, there was no significant difference between OCCC and ECCC mutation prevalence except in TP53, with higher mutation rates in ECCC versus OCCC (34.8 vs. 11.1%, respectively, p < 0.05). ccRCC demonstrated different mutation profiles with higher mutation rates in VHL (80.3%), PBRM1 (43.9%), SETD2 (31.1%), and KDM5C (29.2%). By contrast, VHL, PBRM1, and SETD2 mutations were not found in ECCC and OCCC (0.0%). Compared to ccRCC and ECCC, OCCC was found to have a significantly higher tumor mutation burden (TMB) (19.1%). CONCLUSION Gynecologic and renal CCC demonstrate separate and disparate somatic profiles. However, OCCC and ECCC are diseases with similar profiles. TMB and MSI analyses indicate that a subset of OCCC may benefit from immunotherapy. Prospective clinical trials are needed and are underway to examine targeted therapies in these gynecologic disease subtypes.
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Jamieson A, McAlpine JN. Molecular Profiling of Endometrial Cancer From TCGA to Clinical Practice. J Natl Compr Canc Netw 2023; 21:210-216. [PMID: 36791751 DOI: 10.6004/jnccn.2022.7096] [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: 08/15/2022] [Accepted: 11/07/2022] [Indexed: 02/17/2023]
Abstract
Molecular classification provides an objective, reproducible framework for categorization of endometrial cancers (ECs), informing prognosis and selection of therapy. Currently, the uptake of molecular classification, integration in to EC management algorithms, and enrollment in molecular subtype-specific clinical trials lags behind what it could be. Access to molecular testing is not uniform, and subsequent management (surgical, adjuvant therapy) is unacceptably variable. We are in the midst of a critical landscape change in this disease site, with increasing emphasis on the integration of molecular features in EC care that can potentially improve standard of care globally. This article summarizes the rationale for molecular classification of ECs, strategies for implementation in low and high resource settings, and actionable opportunities based on this information.
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Affiliation(s)
- Amy Jamieson
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of British Columbia, Vancouver, Canada
| | - Jessica N McAlpine
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of British Columbia, Vancouver, Canada
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Fremond S, Andani S, Barkey Wolf J, Dijkstra J, Melsbach S, Jobsen JJ, Brinkhuis M, Roothaan S, Jurgenliemk-Schulz I, Lutgens LCHW, Nout RA, van der Steen-Banasik EM, de Boer SM, Powell ME, Singh N, Mileshkin LR, Mackay HJ, Leary A, Nijman HW, Smit VTHBM, Creutzberg CL, Horeweg N, Koelzer VH, Bosse T. Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts. Lancet Digit Health 2023; 5:e71-e82. [PMID: 36496303 DOI: 10.1016/s2589-7500(22)00210-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Endometrial cancer can be molecularly classified into POLEmut, mismatch repair deficient (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP) subgroups. We aimed to develop an interpretable deep learning pipeline for whole-slide-image-based prediction of the four molecular classes in endometrial cancer (im4MEC), to identify morpho-molecular correlates, and to refine prognostication. METHODS This combined analysis included diagnostic haematoxylin and eosin-stained slides and molecular and clinicopathological data from 2028 patients with intermediate-to-high-risk endometrial cancer from the PORTEC-1 (n=466), PORTEC-2 (n=375), and PORTEC-3 (n=393) randomised trials and the TransPORTEC pilot study (n=110), the Medisch Spectrum Twente cohort (n=242), a case series of patients with POLEmut endometrial cancer in the Leiden Endometrial Cancer Repository (n=47), and The Cancer Genome Atlas-Uterine Corpus Endometrial Carcinoma cohort (n=395). PORTEC-3 was held out as an independent test set and a four-fold cross validation was performed. Performance was measured with the macro and class-wise area under the receiver operating characteristic curve (AUROC). Whole-slide images were segmented into tiles of 360 μm resized to 224 × 224 pixels. im4MEC was trained to learn tile-level morphological features with self-supervised learning and to molecularly classify whole-slide images with an attention mechanism. The top 20 tiles with the highest attention scores were reviewed to identify morpho-molecular correlates. Predictions of a nuclear classification deep learning model serve to derive interpretable morphological features. We analysed 5-year recurrence-free survival and explored prognostic refinement by molecular class using the Kaplan-Meier method. FINDINGS im4MEC attained macro-average AUROCs of 0·874 (95% CI 0·856-0·893) on four-fold cross-validation and 0·876 on the independent test set. The class-wise AUROCs were 0·849 for POLEmut (n=51), 0·844 for MMRd (n=134), 0·883 for NSMP (n=120), and 0·928 for p53abn (n=88). POLEmut and MMRd tiles had a high density of lymphocytes, p53abn tiles had strong nuclear atypia, and the morphology of POLEmut and MMRd endometrial cancer overlapped. im4MEC highlighted a low tumour-to-stroma ratio as a potentially novel characteristic feature of the NSMP class. 5-year recurrence-free survival was significantly different between im4MEC predicted molecular classes in PORTEC-3 (log-rank p<0·0001). The ten patients with aggressive p53abn endometrial cancer that was predicted as MMRd showed inflammatory morphology and appeared to have a better prognosis than patients with correctly predicted p53abn endometrial cancer (p=0·30). The four patients with NSMP endometrial cancer that was predicted as p53abn showed higher nuclear atypia and appeared to have a worse prognosis than patients with correctly predicted NSMP (p=0·13). Patients with MMRd endometrial cancer predicted as POLEmut had an excellent prognosis, as do those with true POLEmut endometrial cancer. INTERPRETATION We present the first interpretable deep learning model, im4MEC, for haematoxylin and eosin-based prediction of molecular endometrial cancer classification. im4MEC robustly identified morpho-molecular correlates and could enable further prognostic refinement of patients with endometrial cancer. FUNDING The Hanarth Foundation, the Promedica Foundation, and the Swiss Federal Institutes of Technology.
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Affiliation(s)
- Sarah Fremond
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - Sonali Andani
- Department of Computer Science, ETH Zurich, Zurich, Switzerland; Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | | | - Jouke Dijkstra
- Department of Vascular and Molecular Imaging, Leiden University Medical Center, Leiden, Netherlands
| | - Sinéad Melsbach
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - Jan J Jobsen
- Department of Radiation Oncology, Medisch Spectrum Twente, Enschede, Netherlands
| | | | | | - Ina Jurgenliemk-Schulz
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ludy C H W Lutgens
- Department of Radiation Oncology, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Remi A Nout
- Department of Radiation Oncology, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - Stephanie M de Boer
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands
| | - Melanie E Powell
- Department of Clinical Oncology, Barts Health NHS Trust, London, UK
| | - Naveena Singh
- Department of Pathology, Barts Health NHS Trust, London, UK
| | - Linda R Mileshkin
- Department of Medical Oncology, Peter MacCallum Cancer Center, Melbourne, VIC, Australia
| | - Helen J Mackay
- Department of Medical Oncology and Hematology, Odette Cancer Center Sunnybrook Health Sciences Center, Toronto, ON, Canada
| | - Alexandra Leary
- Medical Oncology Department, Gustave Roussy Institute, Villejuif, France
| | - Hans W Nijman
- Department of Obstetrics and Gynecology, University Medical Center Groningen, Groningen, Netherlands
| | | | - Carien L Creutzberg
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands
| | - Nanda Horeweg
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands
| | - Viktor H Koelzer
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Tjalling Bosse
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands.
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Jamieson A, Huvila J, Chiu D, Thompson EF, Scott S, Salvador S, Vicus D, Helpman L, Gotlieb W, Kean S, Samouelian V, Köbel M, Kinloch M, Parra-Harran C, Offman S, Grondin K, Irving J, Lum A, Senz J, Leung S, McConechy MK, Plante M, Kommoss S, Huntsman DG, Talhouk A, Gilks CB, McAlpine JN. Grade and Estrogen Receptor Expression Identify a Subset of No Specific Molecular Profile Endometrial Carcinomas at a Very Low Risk of Disease-Specific Death. Mod Pathol 2023; 36:100085. [PMID: 36788084 DOI: 10.1016/j.modpat.2022.100085] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/16/2022] [Accepted: 12/11/2022] [Indexed: 01/27/2023]
Abstract
Endometrial carcinoma (EC) can be divided into 4 prognostic molecular subtypes, and no specific molecular profile (NSMP) type is the most commonly occurring type (∼50%). Although described as having an intermediate to favorable prognosis, this subtype encompasses pathologically and molecularly diverse tumors. We aimed to identify factors associated with outcomes within the NSMP ECs that might be used to stratify prognosis and direct treatment. Clinicopathologic, immunohistochemical, and genetic features of a large series of NSMP EC were used to identify parameters that could identify the subset associated with a very favorable outcome (disease-specific death rate <5% at 5 years, termed low-risk NSMP). A total of 1110 NSMP ECs were profiled. In a univariate analysis, stage, grade, lymphovascular invasion, estrogen receptor (ER) and progesterone receptor (PR) expression, L1CAM overexpression, and mutations in PIK3CA were associated with disease-specific survival. Two critical features, grade and ER expression, identified a low-risk NSMP subset (grade 1-2, ER-positive [>1%], 84% of cases), which showed a 5-year disease-specific death rate of 1.6% across all stages and 1.4% within stage I. The remaining cases (high-risk NSMPs, grade 3, and/or ER-negative status) were responsible for most of the disease-specific deaths (disease-specific death rate at 5 years, 22.9%; hazard ratio compared with that of low-risk NSMPs: 16.3; 95% CI, 8.4-31.7). Within NSMP EC, the low-risk and high-risk categories were of prognostic significance independent of the stage on a multivariate analysis. Low-grade and ER-positive NSMP ECs are a homogeneous low-risk group associated with an exceptionally favorable prognosis in which de-escalation and/or endocrine therapy strategies can be applied. Grade 3 and/or ER-negative status identifies a high-risk NSMP subset, including rare high-grade histotypes (eg, clear cell, dedifferentiated, and mesonephric-like), responsible for most NSMP-related deaths. Subclassification of NSMPs allows for the category of low-risk EC molecular subtypes to be dramatically expanded because it now includes both POLEmut and the much more common low-risk NSMP EC.
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Affiliation(s)
- Amy Jamieson
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jutta Huvila
- Department of Pathology, University of Turku, Turku University Hospital, Turku, Finland
| | - Derek Chiu
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Emily F Thompson
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephanie Scott
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Dalhousie University, Halifax, Canada
| | - Shannon Salvador
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, McGill University, Montreal, Canada
| | - Danielle Vicus
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of Toronto, Toronto, Canada
| | - Limor Helpman
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, McMaster University, Hamilton, Ontario, Canada
| | - Walter Gotlieb
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, McGill University, Montreal, Canada
| | - Sarah Kean
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of Manitoba, Winnipeg, Canada
| | - Vanessa Samouelian
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of Montreal, Montreal, Quebec, Canada
| | - Martin Köbel
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mary Kinloch
- Department of Pathology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | | | - Saul Offman
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Katherine Grondin
- Department of Pathology, Laval University, Quebec City, Quebec, Canada
| | - Julie Irving
- Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Amy Lum
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Janine Senz
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Samuel Leung
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Marie Plante
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Laval University, Quebec City, Quebec, Canada
| | - Stefan Kommoss
- Department of Women's Health, Tübingen University Hospital, Tübingen, Germany
| | - David G Huntsman
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada; Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada; Imagia Canexia Health, Inc., Vancouver, British Columbia, Canada
| | - Aline Talhouk
- Department of Molecular Oncology, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Blake Gilks
- Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada.
| | - Jessica N McAlpine
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, University of British Columbia, Vancouver, British Columbia, Canada.
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Prognostic refinement of NSMP high-risk endometrial cancers using oestrogen receptor immunohistochemistry. Br J Cancer 2023; 128:1360-1368. [PMID: 36690721 PMCID: PMC10050005 DOI: 10.1038/s41416-023-02141-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Risk-assessment of endometrial cancer (EC) is based on clinicopathological factors and molecular subgroup. It is unclear whether adding hormone receptor expression, L1CAM expression or CTNNB1 status yields prognostic refinement. METHODS Paraffin-embedded tumour samples of women with high-risk EC (HR-EC) from the PORTEC-3 trial (n = 424), and a Dutch prospective clinical cohort called MST (n = 256), were used. All cases were molecularly classified. Expression of L1CAM, ER and PR were analysed by whole-slide immunohistochemistry and CTNNB1 mutations were assessed with a next-generation sequencing. Kaplan-Meier method, log-rank tests and Cox's proportional hazard models were used for survival analysis. RESULTS In total, 648 HR-EC were included. No independent prognostic value of ER, PR, L1CAM, and CTNNB1 was found, while age, stage, and adjuvant chemotherapy had an independent impact on risk of recurrence. Subgroup-analysis showed that only in NSMP HR-EC, ER-positivity was independently associated with a reduced risk of recurrence (HR 0.33, 95%CI 0.15-0.75). CONCLUSIONS We confirmed the prognostic impact of the molecular classification, age, stage, and adjuvant CTRT in a large cohort of high-risk EC. ER-positivity is a strong favourable prognostic factor in NSMP HR-EC and identifies a homogeneous subgroup of NSMP tumours. Assessment of ER status in high-risk NSMP EC is feasible in clinical practice and could improve risk stratification and treatment.
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63
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Jiang F, Jiang S, Cao D, Mao M, Xiang Y. Immunologic Signatures across Molecular Subtypes and Potential Biomarkers for Sub-Stratification in Endometrial Cancer. Int J Mol Sci 2023; 24:ijms24021791. [PMID: 36675305 PMCID: PMC9861911 DOI: 10.3390/ijms24021791] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 12/30/2022] [Accepted: 12/30/2022] [Indexed: 01/18/2023] Open
Abstract
Current molecular classification approaches for endometrial cancer (EC) often employ multiple testing platforms. Some subtypes still lack univocal prognostic significance, highlighting the need for risk sub-stratification. The tumor immune microenvironment (TIME) is associated with tumor progression and prognosis. We sought to investigate the feasibility of classifying EC via DNA sequencing and interrogate immunologic signatures and prognostic markers across and within subtypes, respectively. Formalin-fixed paraffin-embedding (FFPE) samples from 50 EC patients underwent targeted DNA and RNA sequencing, and multiplex immunofluorescence assay for TIME. DNA sequencing classified 10%, 20%, 52%, and 18% of patients into the subtype of POLE-mutant, microsatellite instability-high (MSI-H), TP53-wt, and TP53-mutant. POLE-mutant tumors expressed the highest T-effector and IFN-γ signature and the lowest innate anti-PD-1 resistance signature among subtypes. TP53-wt revealed a converse enrichment trend for these immunologic signatures. Survival analyses using the Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma (TCGA-UCEC) dataset identified associations of CCR5 (hazard ratio (HR) = 0.71, p = 0.035), TNFRSF14 (HR = 0.58, p = 0.028), and IL-10 (HR = 2.5, p = 0.012) with overall survival within MSI-H, TP53-mutant, and TP53-wt subtype, respectively. A TIME comparison between the sub-stratified subgroups of our cohort revealed upregulated tumor infiltration of immune cells in the low-risk subgroups. Our study demonstrates that targeted DNA sequencing is an effective one-stop strategy to classify EC. Immunomodulatory genes may serve as prognostic markers within subtypes.
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Giudice E, Salutari V, Ricci C, Nero C, Carbone MV, Musacchio L, Ghizzoni V, Perri MT, Camarda F, Tronconi F, Lorusso D, Scambia G. Recent progress in the use of pharmacotherapy for endometrial cancer. Expert Opin Pharmacother 2023; 24:83-94. [PMID: 35912837 DOI: 10.1080/14656566.2022.2106782] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Endometrial cancer (EC) is the most common gynecological cancer in developed countries. The ESGO/ESTRO/ESP updated evidence-based guidelines in 2020, introducing molecular classification to guide EC treatment. The genomic-based approach has identified four prognostic subgroups of EC. Each of these may benefit from a tailored treatment depending on the molecular profile, the histotype, and stage of disease for the adjuvant and the metastatic/recurrent setting. Several clinical trials are now ongoing to identify the best treatment according to the molecular profile of EC. AREAS COVERED This review analyzes tailored treatment for EC according to the molecular profile, both in the adjuvant and in the metastatic/recurrent setting. The authors review the results of clinical studies and highlight ongoing trials. EXPERT OPINION Several new agents are under evaluation in order to personalize EC treatment according to specific molecular profiles in the adjuvant, advanced, and recurrent settings. Clinical trials investigating the impact of molecular classification have yielded encouraging results. EC can no longer be considered a single tumor entity susceptible to a single treatment modality but rather be split into four distinct types, requiring tailored treatments.
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Affiliation(s)
- Elena Giudice
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Vanda Salutari
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Caterina Ricci
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Camilla Nero
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Maria Vittoria Carbone
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Lucia Musacchio
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Viola Ghizzoni
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Maria Teresa Perri
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Floriana Camarda
- Medical Oncology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Francesca Tronconi
- Department of Medical Oncology, Università Politecnica delle Marche, Ancona, Italy
| | - Domenica Lorusso
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy.,Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giovanni Scambia
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy.,Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
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Haag JG, Wolsky RJ, Moroney MR, Sheren J, Sheeder J, Bitler BG, Corr BR. Clinicopathologic Evaluation of CTNNB1 Mutations in High-Intermediate Risk Endometrial Endometrioid Carcinoma. Int J Gynecol Pathol 2023; 42:43-53. [PMID: 35283443 PMCID: PMC9470776 DOI: 10.1097/pgp.0000000000000865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
CTNNB1 mutations convey increased risk of recurrence in low-risk endometrial endometrioid carcinoma (EEC). Results from previous high-intermediate risk (HIR) cohorts are mixed. The aims of this study were to correlate CTNNB1 mutational status with clinical outcomes and to evaluate the relationship between CTNNB1 mutations and the 4 prognostic subgroups defined by The Cancer Genome Atlas in HIR EEC. CTNNB1 mutational status was determined by Sanger sequencing of exon 3 of the CTNNB1 gene. Mismatch repair, POLE , p53, and L1 cell-adhesion molecule (L1CAM) status were also evaluated. Descriptive statistics and survival analyses were performed. Eighty-eight cases of HIR EEC were identified, of which 22 (25%) were CTNNB1 mutant ( CTNNB1 -mut) and 66 (75%) were wild-type ( CTNNB1 -WT). Median follow-up was 60 mo. Recurrence occurred in 13/88 (15%) patients. Recurrence rates were not significantly different between patients with CTNNB1- mut and CTNNB1- WT tumors (14% vs. 15%, P =0.86). Recurrence-free survival and overall survival were not significantly different (recurrence-free survival hazard ratio: 0.97, 95% confidence interval: 0.27-3.52, P =0.96; overall survival hazard ratio: 0.23, 95% confidence interval: 0.03-1.71, P =0.15). Mismatch repair deficiency was more prevalent in CTNNB1 -WT compared with CTNNB1 -mut tumors (46% vs. 14%, P =0.01); prevalence of POLE mutations and aberrant p53 were not significantly different. In contrast to patients with low-risk EEC, no differences in recurrence or survival were found in patients with HIR EEC with CTNNB1- mut compared with CTNNB1 -WT tumors.
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Affiliation(s)
- Jennifer G. Haag
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Rebecca J. Wolsky
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marisa R. Moroney
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jamie Sheren
- Colorado Molecular Correlates Laboratory, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jeanelle Sheeder
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Benjamin G. Bitler
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bradley R. Corr
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Walsh CS, Hacker KE, Secord AA, DeLair DF, McCourt C, Urban R. Molecular testing for endometrial cancer: An SGO clinical practice statement. Gynecol Oncol 2023; 168:48-55. [PMID: 36399812 DOI: 10.1016/j.ygyno.2022.10.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 11/17/2022]
Abstract
The Cancer Genome Atlas publication first described the genomic landscape of endometrial cancer and characterized these cancers into four molecular subtypes with different prognoses. The Proactive Molecular Classifier for Endometrial Cancer was developed to more easily and inexpensively classify endometrial cancers into four similar molecular subtypes which are termed POLE, mismatch repair deficient, p53 abnormal and no specific molecular profile. Beyond these four subtypes, other molecular biomarkers may influence clinical behavior and response to targeted therapies and include beta-catenin, Her2 amplification, PI3K/mTOR/AKT alterations, L1CAM, hormone receptor expression, tumor mutational burden, and ARID1A. There are numerous clinical trials exploring treatment escalation and de-escalation within the four molecular subtypes as well as matching targeted therapies to specific mutational or biomarker profiles. All endometrial cancers should undergo basic molecular classification that includes assessment of mismatch repair status. POLE and p53 status are prognostic and may become actionable in the future. Clinicians who treat patients with endometrial cancer should understand the role of molecular classification in guiding treatment. The goal of this practice statement is to guide appropriate testing, interpretation, and application of molecular information in endometrial cancer.
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Affiliation(s)
- Christine S Walsh
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Colorado, Aurora, CO, United States of America.
| | - Kari E Hacker
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York University Langone Health, New York, NY, United States of America
| | - Angeles Alvarez Secord
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Duke Cancer Institute, Durham, NC, United States of America
| | - Deborah F DeLair
- Department of Pathology, New York University Langone Health, New York, NY, United States of America
| | - Carolyn McCourt
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Washington University School of Medicine, Saint Louis, MO, United States of America
| | - Renata Urban
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Washington, Seattle, WA, United States of America
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Travaglino A, Arciuolo D, Santoro A, Raffone A, Pedone Anchora L, Piermattei A, Martinelli M, Mollo A, Onori ME, Minucci A, Inzani F, Fanfani F, Insabato L, Zannoni GF. Corded and hyalinized endometrioid endometrial carcinoma with high-grade features: a clinicopathological and TCGA-based molecular analysis. Virchows Arch 2022; 482:671-678. [PMID: 36550216 DOI: 10.1007/s00428-022-03472-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/23/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022]
Abstract
Corded and hyalinized endometrioid carcinoma (CHEC) typically shows low-grade features and "no specific molecular profile" (NSMP). This study aimed to perform a clinicopathological and molecular characterization of endometrial CHEC with high-grade features. Immunohistochemistry for cytokeratin AE1/AE3, e-cadherin, β-catenin, estrogen receptor, progesterone receptor, p53, p16, and mismatch repair proteins was performed. A next-generation sequencing kit was used to assess POLE, POLD1, APC, MLH1, MSH2, MSH6, PMS2, MUTYH, EPCAM, and CTNNB1. Molecular groups, i.e., POLE-mutant, mismatch repair deficient (MMRd), p53-abnormal, and NSMP, were assigned according to the TCGA classifier. Six high-grade endometrial CHECs were identified. The mean age was 57.5 years; 5/6 cases were uterine-confined. Five cases showed a diffusely and markedly atypical corded component and a MMRd or p53-abnormal signature; additional features included single-cell keratinization, necrosis, osteoid or myxoid/chondro-myxoid matrix, foci of anaplasia, and nuclear β-catenin expression. The remaining case showed a low mitotic count and a NSMP phenotype, with focal bizarre cells in an otherwise classical CH endometrioid carcinoma. All cases showed variably reduced expression of epithelial markers and hormone receptors in the corded component. No mutations were found in any of the analyzed genes. In conclusion, high-grade CHECs are a heterogeneous subset of biphasic endometrial carcinoma which show similarities and differences with classical CHEC and carcinosarcoma. These cases often show MMRd or p53-abnormal signatures.
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Affiliation(s)
- Antonio Travaglino
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Pathology Unit, Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Damiano Arciuolo
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Life Health and Public Health, Catholic University of the Sacred Hearth, Rome, Italy
| | - Angela Santoro
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Antonio Raffone
- Division of Gynecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliero, Univeristaria Di Bologna. S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Luigi Pedone Anchora
- Gynecologic Oncology Unit, Department of Woman and Child's Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Alessia Piermattei
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Manuela Martinelli
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Antonio Mollo
- Gynecology and Obstetrics Unit, Department of Medicine, Surgery and Dentistry "Schola Medica Salernitana, " University of Salerno, Baronissi, Italy
| | - Maria Elisabetta Onori
- Molecular and Genomic Diagnostics Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Angelo Minucci
- Molecular and Genomic Diagnostics Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Frediano Inzani
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Francesco Fanfani
- Department of Life Health and Public Health, Catholic University of the Sacred Hearth, Rome, Italy
- Gynecologic Oncology Unit, Department of Woman and Child's Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Luigi Insabato
- Pathology Unit, Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
| | - Gian Franco Zannoni
- Gynecopathology and Breast Pathology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
- Department of Life Health and Public Health, Catholic University of the Sacred Hearth, Rome, Italy.
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Raffone A, Travaglino A, Raimondo D, Casadio P, Seracchioli R, Zannoni GF, Mollo A. Integration of Molecular Data in the Prognostic Stratification and Management of Endometrial Carcinoma. J Pers Med 2022; 12:jpm12122083. [PMID: 36556303 PMCID: PMC9785853 DOI: 10.3390/jpm12122083] [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: 10/26/2022] [Accepted: 11/11/2022] [Indexed: 12/23/2022] Open
Abstract
In the last years, the TCGA-based molecular classifier have been progressively integrated in the management of endometrial carcinoma. While molecular assays are increasingly available across pathology laboratories, the additional costs will expectedly be compensated by a reduction in overtreatments and a prevention of recurrences. The additional time might be shortened by assessing molecular markers on biopsy specimens. Retrospective data suggest that the molecular classifier will have a major impact of on the risk stratification, with many patients having their risk class down- or upstaged based on POLE mutations or p53 abnormalities, respectively. However, there are still several issues to be resolved, such as the prognostic value of the TCGA classifier in each FIGO stage, or the type of adjuvant treatment most suitable for each molecular group. Other issues regard the prognostic stratification of the mismatch repair-deficient and "no specific molecular profile" groups, which currently follows the same criteria; however, the former seems to be prognostically consistent regardless of FIGO grade and histotype, whereas the latter appears highly heterogeneous. Numerous clinical, histological, immunohistochemical and molecular markers have been proposed to refine the TCGA classification, but their prognostic value is still undefined. Hopefully, prospective data collected in the next years will help resolving these issues.
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Affiliation(s)
- Antonio Raffone
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40126 Bologna, Italy; (D.R.); (P.C.); (R.S.)
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy
- Correspondence:
| | - Antonio Travaglino
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.T.); (G.F.Z.)
- Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, 80138 Naples, Italy
| | - Diego Raimondo
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40126 Bologna, Italy; (D.R.); (P.C.); (R.S.)
| | - Paolo Casadio
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40126 Bologna, Italy; (D.R.); (P.C.); (R.S.)
| | - Renato Seracchioli
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40126 Bologna, Italy; (D.R.); (P.C.); (R.S.)
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy
| | - Gian Franco Zannoni
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.T.); (G.F.Z.)
- Pathology Institute, Catholic University of Sacred Heart, 20123 Rome, Italy
| | - Antonio Mollo
- Gynecology and Obstetrics Unit, Department of Medicine, Surgery and Dentistry “Schola Medica Salernitana”, University of Salerno, 84084 Baronissi, Italy;
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69
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Interpretable prognostic modeling of endometrial cancer. Sci Rep 2022; 12:21543. [PMID: 36513790 PMCID: PMC9747711 DOI: 10.1038/s41598-022-26134-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Endometrial carcinoma (EC) is one of the most common gynecological cancers in the world. In this work we apply Cox proportional hazards (CPH) and optimal survival tree (OST) algorithms to the retrospective prognostic modeling of disease-specific survival in 842 EC patients. We demonstrate that linear CPH models are preferred for the EC risk assessment based on clinical features alone, while interpretable, non-linear OST models are favored when patient profiles can be supplemented with additional biomarker data. We show how visually interpretable tree models can help generate and explore novel research hypotheses by studying the OST decision path structure, in which L1 cell adhesion molecule expression and estrogen receptor status are correctly indicated as important risk factors in the p53 abnormal EC subgroup. To aid further clinical adoption of advanced machine learning techniques, we stress the importance of quantifying model discrimination and calibration performance in the development of explainable clinical prediction models.
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70
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Angeles MA, Boria F, Shushkevich AB, Bizzarri N, Theofanakis C, Schivardi G, Kacperczyk-Bartnik J, Strojna AN, Bilir E, Mahner S, Gultekin M, Cibula D, Rodolakis A, Lorusso D, Mirza MR, Fagotti A, Ledermann J, Fotopoulou C, Ramirez PT. Interviews conducted at the European Society of Gynaecological Oncology 2022 Congress: a ENYGO-IJGC Fellows initiative. Int J Gynecol Cancer 2022; 33:ijgc-2022-004160. [PMID: 36600507 DOI: 10.1136/ijgc-2022-004160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Martina Aida Angeles
- Department of Surgical Oncology, Institut Universitaire du Cancer Toulouse Oncopole Departement de Chirurgie, Toulouse, France
| | - Felix Boria
- Gynecologic Unit, Clinica Universidad de Navarra, Madrid, Spain
| | - Alexander B Shushkevich
- Institute of Biology and Medicine, Taras Shevchenko National University of Kyiv, Kiiv, Ukraine
| | - Nicolò Bizzarri
- UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Policlinico Universitario Agostino Gemelli Dipartimento Scienze della Salute della Donna e del Bambino, Rome, Italy
| | - Charalampos Theofanakis
- Unit of Gynaecologic Oncology, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Gabriella Schivardi
- Department of Gynecology, European Institute of Oncology, IEO, IRCCS, Milan, Italy
| | | | - Aleksandra Natalia Strojna
- Department of Gynecology and Gynecologic Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany, Pomeranian Medical University in Szczecin, Essen, Germany
| | - Esra Bilir
- Department of Gynecologic Oncology, Koc University School of Medicine, Istanbul, Turkey
- Department of Global Health, Koc University Graduate School of Health Sciences, Istanbul, Turkey
| | - Sven Mahner
- AGO and Department of Obstetrics and Gynecology, University Hospital, Ludwig Maximilians University Munich, Munich, Germany
| | - Murat Gultekin
- Cancer Control Department, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - David Cibula
- Department of Obstetrics and Gynecology, University of Prague, Prague, Czech Republic
| | - Alexandros Rodolakis
- Unit of Gynaecologic Oncology, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Domenica Lorusso
- UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Policlinico Universitario Agostino Gemelli Dipartimento Scienze della Salute della Donna e del Bambino, Rome, Italy
| | - Mansoor Raza Mirza
- Department of Oncology, Rigshospitalet; Copenhagen University Hospital, Copenhagen, Denmark
| | - Anna Fagotti
- UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Policlinico Universitario Agostino Gemelli Dipartimento Scienze della Salute della Donna e del Bambino, Rome, Italy
| | | | - Christina Fotopoulou
- Department of Gynaecologic Oncology, Imperial College London Faculty of Medicine, London, UK
| | - Pedro T Ramirez
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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71
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Dai Y, Zhao L, Hua D, Cui L, Zhang X, Kang N, Qu L, Li L, Li H, Shen D, Wang Z, Wang J. Tumor immune microenvironment in endometrial cancer of different molecular subtypes: evidence from a retrospective observational study. Front Immunol 2022; 13:1035616. [PMID: 36532042 PMCID: PMC9756131 DOI: 10.3389/fimmu.2022.1035616] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/31/2022] [Indexed: 11/25/2022] Open
Abstract
Objective Tumor immune microenvironmental features may predict survival and guide treatment. This study aimed to comprehensively decipher the immunological features of different molecular subtypes of endometrial cancer. Methods In this retrospective study, 26 patients with primary endometrial cancer and four with recurrent disease treated in our center from December 2018 to November 2021 were included. Next-generation sequencing was performed on tumor samples. Patients were classified into four subtypes, including POLE mutant, microsatellite instability high (MSI-H), no specific molecular profile (NSMP) and TP53 mutant subtypes. Tumor-infiltrating immune cells were quantified using multiplex immunofluorescence assays. Results Of the 26 primary endometrial cancer cases, three were POLE mutant, six were MSI-H, eight were NSMP and nine were TP53 mutant. Of the four recurrent cases, two belonged to the NSMP subtype and two belonged to the TP53 mutant subtype. The tumor mutation burden (TMB) levels of POLE mutant and MSI-H cases were significantly higher than that of the other two subtypes (p< 0.001). We combined POLE mutant and MSI-H subtypes into the TMB high (TMB-H) subtype. The TMB-H subtype showed a high degree of infiltration of CD8+ T cells. In the NSMP subtype, the overall degree of intra-tumoral infiltrating immune cells was low. In the TP53 mutant subtype, the densities of both PD-L1+ macrophages (p = 0.047) and PD-1+ T cells (p = 0.034) in tumor parenchyma were the highest among the four subtypes. Conclusion Endometrial cancer of TMB-H, NSMP and TP53 mutant subtypes displayed phenotypes of normal immune response, absence of immune infiltration, and suppressed immune response, respectively. These features may provide mechanistic explanations for the differences in patients' prognosis and efficacy of immune checkpoint blockade therapies among different endometrial cancer subtypes.
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Affiliation(s)
- Yibo Dai
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China
| | - Luyang Zhao
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China
| | - Dingchao Hua
- Department of Medical Affairs, 3D Medicines Inc., Shanghai, China
| | - Lina Cui
- Department of Medical Affairs, 3D Medicines Inc., Shanghai, China
| | - Xiaobo Zhang
- Department of Pathology, Peking University People’s Hospital, Beijing, China
| | - Nan Kang
- Department of Pathology, Peking University People’s Hospital, Beijing, China
| | - Linlin Qu
- Department of Pathology, Peking University People’s Hospital, Beijing, China
| | - Liwei Li
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China
| | - He Li
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China
| | - Danhua Shen
- Department of Pathology, Peking University People’s Hospital, Beijing, China
| | - Zhiqi Wang
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China,*Correspondence: Zhiqi Wang,
| | - Jianliu Wang
- Department of Obstetrics and Gynecology, Peking University People’s Hospital, Beijing, China
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72
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The clinicopathological characteristics of POLE-mutated/ultramutated endometrial carcinoma and prognostic value of POLE status: a meta-analysis based on 49 articles incorporating 12,120 patients. BMC Cancer 2022; 22:1157. [DOI: 10.1186/s12885-022-10267-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/02/2022] [Indexed: 11/11/2022] Open
Abstract
Abstract
Objective
This study was designed to investigate the frequency and clinicopathological characteristics of POLE-mutated/ultramutated (POLEmut) in endometrial carcinoma (EC) and assess the prognostic values of POLE status.
Methods
Electronic databases were screened to identify relevant studies. Meta-analysis was used to yield the pooled frequency of POLEmut and prognostic parameters by 95% confidence interval (CI), odd ratio (OR), and hazard ratio (HR).
Results
Totally, 12,120 EC patients from 49 studies were included. The pooled frequency of POLEmut was 7.95% (95% CI: 6.52–9.51%) in EC, 7.95% (95% CI: 6.55–9.46%) in endometrioid endometrial carcinoma, and 4.45% (95% CI: 2.63–6.61%) in nonendometrioid endometrial carcinoma. A higher expression occurred in grade 3 (OR = 0.51, 95% CI: 0.36–0.73, P = 0.0002), FIGO stage I-II (OR = 1.91, 95% CI: 1.29–2.83, P = 0.0013), and myometrial invasion< 50% (OR = 0.66, 95% CI: 0.50–0.86, P = 0.0025). Survival analyses revealed favorable OS (HR = 0.68, 95% CI: 0.55–0.85, P = 0.0008), PFS (HR = 0.74, 95% CI: 0.59–0.93, P = 0.0085), DSS (HR = 0.61, 95% CI: 0.44–0.83, P = 0.0016), and RFS (HR = 0.47, 95% CI: 0.35–0.61, P < 0.0001) for POLEmut ECs. Additionally, the clinical outcomes of POLEmut group were the best, but those of p53-abnormal/mutated (p53abn) group were the worst, while those of microsatellite-instable (MSI)/hypermutated group and p53-wild-type (p53wt) group were medium.
Conclusions
The POLEmut emergered higher expression in ECs with grade 3, FIGO stage I-II, and myometrial invasion< 50%; it might serve as a highly favorable prognostic marker in EC; the clinical outcomes of POLEmut group were the best one among the four molecular subtypes.
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73
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HE4 Tissue Expression as A Putative Prognostic Marker in Low-Risk/Low-Grade Endometrioid Endometrial Cancer: A Review. Curr Oncol 2022; 29:8540-8555. [PMID: 36354733 PMCID: PMC9689414 DOI: 10.3390/curroncol29110673] [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: 10/02/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/12/2022] Open
Abstract
Low-grade stage I endometrioid endometrial carcinomas should have an excellent prognosis, but a small subset of these cancers can relapse. The search for putative immunohistochemical prognostic markers for relapse in low-risk/low-grade endometrioid endometrial cancers remains open. Among the candidate molecules that may implicate the roles of immunohistochemical risk markers, we focused our attention on human epididymis protein 4 (HE4) after a review of the literature. Few authors have devoted themselves to this topic, and none have found a correlation between the tissue expression of HE4 and the molecular classification of endometrial cancer. Five different variants of HE4 mRNA and multiple protein isoforms of HE4 were identified many years ago, but current HE4 assays only measure the total HE4 expression and do not distinguish the different proteins encoded by different mRNA variants. It is important to have an approach to distinguish specific variants in the future.
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Devereaux KA, Steiner DF, Ho C, Gomez AJ, Gilks B, Longacre TA, Zehnder JL, Howitt BE, Suarez CJ. A Multiplex SNaPshot Assay is a Rapid and Cost-Effective Method for Detecting POLE Exonuclease Domain Mutations in Endometrial Carcinoma. Int J Gynecol Pathol 2022; 41:541-551. [PMID: 34907997 DOI: 10.1097/pgp.0000000000000841] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Determining the replicative DNA polymerase epsilon ( POLE) mutation status in endometrial carcinomas (ECs) has important clinical implications given that the majority of "ultramutated" tumors harboring pathogenic exonuclease domain mutations in POLE ( POLE mut) have a favorable prognosis, even among high-grade histotypes. Currently, there are no specific morphologic or immunophenotypic features that allow accurate detection of POLE mut tumors without molecular testing. Consequently, identifying POLE mut tumors has been challenging without employing costly and/or time-consuming DNA sequencing approaches. Here we developed a novel SNaPshot assay to facilitate routine and efficient POLE mutation testing in EC. The SNaPshot assay interrogates 15 nucleotide sites within exons 9, 11, 13, and 14 encoding the POLE exonuclease domain. The variant sites were selected based on recurrence, evidence of functional impact, association with high tumor mutation burden and/or detection in EC clinical outcome studies. Based on the pathogenic somatic variants reported in the literature, the assay is predicted to have a clinical sensitivity of 90% to 95% for ECs. Validation studies showed 100% specificity and sensitivity for the variants covered, with expected genotypic results for both the positive (n=11) and negative (n=20) patient controls on multiple repeat tests and dilution series. Analytic sensitivity was conservatively approximated at a 10% variant allele fraction (VAF), with documented detection as low as 5% VAF. As expected, the SNaPshot assay demonstrated greater sensitivity than Sanger sequencing for VAFs below 20%, an important characteristic for somatic mutation detection. Here we have developed and validated the first SNaPshot assay to detect hotspot POLE mutations. While next-generation sequencing and Sanger sequencing-based approaches have also been used to detect POLE mutations, a SNaPshot approach provides useful balance of analytical sensitivity, cost-effectiveness, and efficiency in a high-volume case load setting.
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75
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Arciuolo D, Travaglino A, Raffone A, Raimondo D, Santoro A, Russo D, Varricchio S, Casadio P, Inzani F, Seracchioli R, Mollo A, Mascolo M, Zannoni GF. TCGA Molecular Prognostic Groups of Endometrial Carcinoma: Current Knowledge and Future Perspectives. Int J Mol Sci 2022; 23:ijms231911684. [PMID: 36232987 PMCID: PMC9569906 DOI: 10.3390/ijms231911684] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/30/2022] [Indexed: 11/05/2022] Open
Abstract
The four TCGA-based molecular prognostic groups of endometrial carcinoma (EC), i.e., POLE-mutant, mismatch repair (MMR)-deficient, p53-abnormal, and “no specific molecular profile” (NSMP), have recently been integrated into ESGO-ESTRO-ESP guidelines. The POLE-mutant and MMR-deficient groups are associated with high mutational load, morphological heterogeneity, and inflammatory infiltration. These groups are frequent in high-grade endometrioid, undifferentiated/dedifferentiated, and mixed histotypes. POLE-mutant ECs show good prognosis and do not require adjuvant treatment, although the management of cases at stage >II is still undefined. MMR-deficient ECs show intermediate prognosis and are currently substratified based on clinicopathological variables, some of which might not have prognostic value. These groups may benefit from immunotherapy. P53-mutant ECs are typically high-grade and often morphologically ambiguous, accounting for virtually all serous ECs, most carcinosarcomas and mixed ECs, and half of clear-cell ECs. They show poor prognosis and are treated with chemoradiotherapy; a subset may benefit from HER2 inhibitors or PARP inhibitors. The NSMP group is the most frequent TCGA group; its prognosis is highly variable and affected by clinicopathological/molecular factors, most of which are still under evaluation. In conclusion, the TCGA classification has improved diagnosis, risk stratification, and management of EC. Further studies are needed to resolve the points of uncertainty that still exist.
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Affiliation(s)
- Damiano Arciuolo
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Pathology Institute, Catholic University of Sacred Heart, 00168 Rome, Italy
| | - Antonio Travaglino
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Pathology Unit, Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80138 Naples, Italy
| | - Antonio Raffone
- Division of Gynaecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliera Univeristaria di Bologna. S. Orsola Hospital, University of Bologna, 40126 Bologna, Italy
| | - Diego Raimondo
- Division of Gynaecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliera Univeristaria di Bologna. S. Orsola Hospital, University of Bologna, 40126 Bologna, Italy
| | - Angela Santoro
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Daniela Russo
- Pathology Unit, Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80138 Naples, Italy
| | - Silvia Varricchio
- Pathology Unit, Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80138 Naples, Italy
| | - Paolo Casadio
- Division of Gynaecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliera Univeristaria di Bologna. S. Orsola Hospital, University of Bologna, 40126 Bologna, Italy
| | - Frediano Inzani
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Renato Seracchioli
- Division of Gynaecology and Human Reproduction Physiopathology, Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliera Univeristaria di Bologna. S. Orsola Hospital, University of Bologna, 40126 Bologna, Italy
| | - Antonio Mollo
- Gynecology and Obstetrics Unit, Department of Medicine, Surgery and Dentistry “Schola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy
| | - Massimo Mascolo
- Pathology Unit, Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80138 Naples, Italy
- Correspondence:
| | - Gian Franco Zannoni
- Pathology Unit, Department of Woman and Child’s Health and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Pathology Institute, Catholic University of Sacred Heart, 00168 Rome, Italy
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Momeni-Boroujeni A, Nguyen B, Vanderbilt CM, Ladanyi M, Abu-Rustum NR, Aghajanian C, Ellenson LH, Weigelt B, Soslow RA. Genomic landscape of endometrial carcinomas of no specific molecular profile. Mod Pathol 2022; 35:1269-1278. [PMID: 35365770 PMCID: PMC9427676 DOI: 10.1038/s41379-022-01066-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 01/07/2023]
Abstract
Endometrial carcinomas (ECs) classified by The Cancer Genome Atlas (TCGA) as copy number-low (also referred to as "no specific molecular profile" [NSMP]) have a prognosis intermediate between POLE-mutated and copy number-high ECs. NSMP-ECs are a heterogeneous group, however, comprising both relatively indolent and aggressive ECs. We identified a total of 472 NSMP-ECs among 1,239 ECs that underwent clinical sequencing of 410-468 cancer-related genes. Somatic mutation and copy number alteration data were subjected to unsupervised hierarchical clustering, which identified three genomic clusters. Random sampling with stratification was used to choose ~80 endometrioid ECs from each cluster, resulting in a study size of 240 endometrioid ECs as well as an additional 44 non-endometrioid NSMP-ECs. Cluster 1 (C1, n = 80) consisted primarily of NSMP-ECs with PTEN and PIK3R1 mutations, Cluster 2 (C2, n = 81) of tumors with PTEN and PIK3CA mutations and Cluster 3 (C3, n = 79) of NSMP-ECs with chromosome 1q high-level gain and lack of PTEN mutations. The majority (72.7%) of non-endometrioid NSMP-ECs mapped to C3. NSMP-ECs from C3 were more likely to be FIGO grade 3 (30%), estrogen receptor-negative/weak (54.5%) and FIGO stages III or IV. In multivariate analysis, molecular clusters were associated with worse overall survival outcomes with C3 tumors having the worst (hazard ratio: 4) and C1 tumors having the best outcome. In conclusion, NSMP-ECs are a heterogenous group of tumors and comprise both aggressive and clinically low-risk ECs that can be identified based on mutation and copy number data.
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Affiliation(s)
- Amir Momeni-Boroujeni
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bastien Nguyen
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA,Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chad M Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Carol Aghajanian
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lora H Ellenson
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Robert A Soslow
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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77
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Fremond S, Koelzer VH, Horeweg N, Bosse T. The evolving role of morphology in endometrial cancer diagnostics: From histopathology and molecular testing towards integrative data analysis by deep learning. Front Oncol 2022; 12:928977. [PMID: 36059702 PMCID: PMC9433878 DOI: 10.3389/fonc.2022.928977] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
Endometrial cancer (EC) diagnostics is evolving into a system in which molecular aspects are increasingly important. The traditional histological subtype-driven classification has shifted to a molecular-based classification that stratifies EC into DNA polymerase epsilon mutated (POLEmut), mismatch repair deficient (MMRd), and p53 abnormal (p53abn), and the remaining EC as no specific molecular profile (NSMP). The molecular EC classification has been implemented in the World Health Organization 2020 classification and the 2021 European treatment guidelines, as it serves as a better basis for patient management. As a result, the integration of the molecular class with histopathological variables has become a critical focus of recent EC research. Pathologists have observed and described several morphological characteristics in association with specific genomic alterations, but these appear insufficient to accurately classify patients according to molecular subgroups. This requires pathologists to rely on molecular ancillary tests in routine workup. In this new era, it has become increasingly challenging to assign clinically relevant weights to histological and molecular features on an individual patient basis. Deep learning (DL) technology opens new options for the integrative analysis of multi-modal image and molecular datasets with clinical outcomes. Proof-of-concept studies in other cancers showed promising accuracy in predicting molecular alterations from H&E-stained tumor slide images. This suggests that some morphological characteristics that are associated with molecular alterations could be identified in EC, too, expanding the current understanding of the molecular-driven EC classification. Here in this review, we report the morphological characteristics of the molecular EC classification currently identified in the literature. Given the new challenges in EC diagnostics, this review discusses, therefore, the potential supportive role that DL could have, by providing an outlook on all relevant studies using DL on histopathology images in various cancer types with a focus on EC. Finally, we touch upon how DL might shape the management of future EC patients.
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Affiliation(s)
- Sarah Fremond
- Department of Pathology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Viktor Hendrik Koelzer
- Department of Pathology and Molecular Pathology, University Hospital and University of Zürich, Zürich, Switzerland
| | - Nanda Horeweg
- Department of Radiotherapy, Leiden University Medical Center, Leiden, Netherlands
| | - Tjalling Bosse
- Department of Pathology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- *Correspondence: Tjalling Bosse,
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Li Y, Chen R, Yuan M, Wang D, Fu C, Chen R, Lei C, Zhou Q. One‐Stop Molecular Classification of Endometrial Carcinoma using Comprehensive Next‐Generation Sequencing. Int J Cancer 2022; 151:1969-1977. [DOI: 10.1002/ijc.34241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/01/2022] [Accepted: 06/13/2022] [Indexed: 11/12/2022]
Affiliation(s)
- Yucong Li
- Department of Gynecologic Oncology Chongqing University Cancer Hospital Chongqing China
| | - Rui Chen
- Department of Pathology Chongqing University Cancer Hospital Chongqing China
| | | | - Dong Wang
- Department of Gynecologic Oncology Chongqing University Cancer Hospital Chongqing China
| | - Chunling Fu
- Department of Pathology Chongqing University Cancer Hospital Chongqing China
| | | | - Cuirong Lei
- Department of Gynecologic Oncology Chongqing University Cancer Hospital Chongqing China
| | - Qi Zhou
- Department of Gynecologic Oncology Chongqing University Cancer Hospital Chongqing China
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79
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The Role of Immunohistochemistry Markers in Endometrial Cancer with Mismatch Repair Deficiency: A Systematic Review. Cancers (Basel) 2022; 14:cancers14153783. [PMID: 35954447 PMCID: PMC9367287 DOI: 10.3390/cancers14153783] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 02/04/2023] Open
Abstract
The objective of this systematic review was to summarize our current knowledge of the role of immunohistochemistry (IHC) markers for identifying mismatch repair-deficient (MMRd) tumors in endometrial cancer (EC). Identification of MMRd tumors, which occur in 13% to 30% of all ECs, has become critical for patients with colorectal and endometrial cancer for therapeutic management, clinical decision making, and prognosis. This review was conducted by two authors applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines using the following terms: “immunohistochemistry and microsatellite instability endometrial cancer” or “immunohistochemistry and mismatch repair endometrial cancer” or “immunohistochemistry and mismatch repair deficient endometrial cancer”. Among 596 retrieved studies, 161 fulfilled the inclusion criteria. Articles were classified and presented according to their interest for the diagnosis, prognosis, and theragnostics for patients with MMRd EC. We identified 10, 18, and 96 articles using IHC expression of two, three, or four proteins of the MMR system (MLH1, MSH2, MHS6, and PMS2), respectively. MLH1 promoter methylation was analyzed in 57 articles. Thirty-four articles classified MMRd tumors with IHC markers according to their prognosis in terms of recurrence-free survival (RFS), overall survival (OS), stage, grade, and lymph node invasion. Theragnostics were studied in eight articles underlying the important concentration of PD-L1 in MMRd EC. Even though the role of IHC has been challenged, it represents the most common, robust, and cheapest method for diagnosing MMRd tumors in EC and is a valuable tool for exploring novel biotherapies and treatment modalities.
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80
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L1CAM Expression in Microcystic, Elongated, and Fragmented (MELF) Glands Predicts Lymph Node Involvement in Endometrial Carcinoma. Cancers (Basel) 2022; 14:cancers14153635. [PMID: 35892892 PMCID: PMC9330485 DOI: 10.3390/cancers14153635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 11/25/2022] Open
Abstract
In endometrial carcinoma, both L1CAM overexpression and microcystic, elongated and fragmented (MELF) patterns of invasion have been related to epithelial-to-mesenchymal transition and metastatic spread. We aimed to assess the association between L1CAM expression, the MELF pattern, and lymph node status in endometrial carcinoma. Consecutive cases of endometrial carcinoma with MELF pattern were immunohistochemically assessed for L1CAM. Inclusion criteria were endometrioid-type, low-grade, stage T1, and known lymph node status. Uni- and multivariate logistic regression were used to assess the association of L1CAM expression with lymph node status. Fifty-eight cases were included. Most cases showed deep myometrial invasion (n = 42, 72.4%) and substantial lymphovascular space invasion (n = 34, 58.6%). All cases were p53-wild-type; 17 (29.3%) were mismatch repair-deficient. Twenty cases (34.5%) had positive nodes. No cases showed L1CAM positivity in ≥10% of the whole tumor. MELF glands expressed L1CAM at least focally in 38 cases (65.5%). L1CAM positivity in ≥10% of the MELF component was found in 24 cases (41.4%) and was the only significant predictor of lymph node involvement in both univariate (p < 0.001) and multivariate analysis (p < 0.001). In conclusion, L1CAM might be involved in the development of the MELF pattern. In uterine-confined, low-grade endometrioid carcinomas, L1CAM overexpression in MELF glands may predict lymph node involvement.
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81
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Sengal AT, Smith D, Snell CE, Leung S, Talhouk A, Williams ED, McAlpine JN, Pollock PM. Spatial expression of the FGFR2b splice isoform and its prognostic significance in endometrioid endometrial carcinoma. J Pathol Clin Res 2022; 8:521-537. [PMID: 35866380 PMCID: PMC9535101 DOI: 10.1002/cjp2.286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/19/2022] [Accepted: 06/07/2022] [Indexed: 12/29/2022]
Abstract
Endometrial carcinoma (EC) is the most common gynecological malignancy and fibroblast growth factor receptor 2 (FGFR2) is a frequently dysregulated receptor tyrosine kinase. FGFR2b and FGFR2c are the two main splice isoforms of FGFR2 and are normally localized in epithelial and mesenchymal cells, respectively. Previously, we demonstrated that FGFR2c mRNA expression was associated with aggressive tumor characteristics, shorter progression-free survival (PFS), and disease-specific survival (DSS) in endometrioid ECs (EECs). The objectives of this study were to investigate the spatial expression of FGFR2b in normal and hyperplasia with and without atypia of human endometrium and to assess the prognostic significance of FGFR2b expression in EC. FGFR2b and FGFR2c mRNA expression was evaluated in normal (proliferative [n = 10], secretory [n = 15], and atrophic [n = 10] endometrium), hyperplasia with and without atypia (n = 19) as well as two patient cohorts of EC samples (discovery [n = 78] and Vancouver [n = 460]) using isoform-specific BaseScope RNA in situ hybridization assays. Tumors were categorized based on FGFR2 isoform expression (one, both, or neither) and categories were correlated with clinicopathologic markers, molecular subtypes, and clinical outcomes. The FGFR2b splice isoform was exclusively expressed in the epithelial compartment of normal endometrium and hyperplasia without atypia. We observed FGFR2c expression at the basalis layer of glands in 33% (3/9) of hyperplasia with atypia. In patients with EEC, FGFR2b+/FGFR2c- expression was found in 48% of the discovery cohort and 35% of the validation Vancouver cohort. In univariate analyses, tumors with FGFR2b+/FGFR2c- expression had longer PFS (hazard ratio [HR] 0.265; 95% CI 0.145-0.423; log-rank p < 0.019) and DSS (HR 0.31; 95% CI 0.149-0.622; log-rank p < 0.001) compared to tumors with FGFR2b-/FGFR2c+ expression in the large EEC Vancouver cohort. In multivariable Cox regression analyses, tumors with FGFR2b+/FGFR2c- expression were significantly associated with longer DSS (HR 0.37; 95% CI 0.153-0.872; log-rank p < 0.023) compared to FGFR2b-/FGFR2c+ tumors. In conclusion, FGFR2b+/FGFR2c- expression is associated with favorable clinicopathologic markers and clinical outcomes suggesting that FGFR2b could play a role in tailoring the management of EEC patients in the clinic if these findings are confirmed in an independent cohort.
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Affiliation(s)
- Asmerom T Sengal
- School of Biomedical Sciences, Faculty of HealthQueensland University of Technology (QUT) located at the Translational Research Institute (TRI)BrisbaneAustralia
| | - Deborah Smith
- Mater PathologyMater Research and University of QueenslandBrisbaneAustralia
| | - Cameron E Snell
- Mater PathologyMater Research and University of QueenslandBrisbaneAustralia
| | - Samuel Leung
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation CentreUniversity of British ColumbiaVancouverBCCanada
| | - Aline Talhouk
- Department of Gynaecology and Obstetrics, Division of Gynaecologic OncologyUniversity of British ColumbiaVancouverBCCanada
| | - Elizabeth D Williams
- School of Biomedical Sciences, Faculty of HealthQueensland University of Technology (QUT) located at the Translational Research Institute (TRI)BrisbaneAustralia
| | - Jessica N McAlpine
- Department of Gynaecology and Obstetrics, Division of Gynaecologic OncologyUniversity of British ColumbiaVancouverBCCanada
| | - Pamela M Pollock
- School of Biomedical Sciences, Faculty of HealthQueensland University of Technology (QUT) located at the Translational Research Institute (TRI)BrisbaneAustralia
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Impact of the new molecular classification of endometrial cancer: A French cohort study. Gynecol Oncol 2022; 166:515-521. [PMID: 35843738 DOI: 10.1016/j.ygyno.2022.07.012] [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: 03/07/2022] [Revised: 06/08/2022] [Accepted: 07/11/2022] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To evaluate the potential impact of the latest ESGO guidelines for endometrial cancer with molecular classification on the management strategy in a French cohort. METHODS All patients treated between January 1st, 2014 and December 31, 2020 for an endometrial cancer at the Centre Hospitalier Intercommunal de Créteil (CHIC, FRANCE) were selected from our prospectively maintained database. All postoperative samples were reviewed to confirm histological subtype, myometrial infiltration, cytonuclear grade and presence of lymphovascular emboli. Analysis of p53, MLH1, MSH2, MSH6, PMS2 genes was performed by immunohistochemistry first then a systematic POLE sequencing was performed to identify gene mutation. The impact of the latest ESGO 2020 guidelines was assessed regarding adjuvant therapy, surgical strategy, and survival. RESULTS Eighty patients were analyzed, including 70% NSMP (n = 56), 13.75% MSI (n = 11), 10% p53 mutated (n = 8) and 6.25% POLEmut (n = 5). A total of 21 patients (26.3%) were reclassified using the latest ESGO classification. Patients classified at low risk or with advanced / metastatic disease were not reclassified using molecular analysis. Molecular analysis and the latest ESGO classification had the most important impact on patients initially classified at intermediate - high risk that were reclassified in intermediate (10/23) and in low (4/23) risk. Nine patients (11.3%) were overtreated according to the 2020 ESGO classification: six patients in the low - risk group (4 received vaginal brachytherapy and 2 external radiotherapy) and three in the intermediate risk group (3 received external irradiation and 1 received chemotherapy). None of the patients in our cohort would have been undertreated using the 2020 ESGO classification. Patients within the p53 mutated group were the most likely to experience recurrence (37.5%, 3/8) and none of the patients POLE mutated recurred. CONCLUSION Around one in 4 patients were reclassified in a more accurate prognostic group using molecular diagnosis and the latest ESGO guidelines which could decrease the use of adjuvant therapies to spare morbidity.
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83
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Diagnostic accuracy of HNF1β, Napsin A and P504S/Alpha-Methylacyl-CoA Racemase (AMACR) as markers of endometrial clear cell carcinoma. Pathol Res Pract 2022; 237:154019. [PMID: 35907281 DOI: 10.1016/j.prp.2022.154019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/09/2022] [Accepted: 07/12/2022] [Indexed: 11/20/2022]
Abstract
Endometrial clear cell carcinoma (CCC) shows morphological overlap with endometrioid and serous carcinoma. We aimed to assess the accuracy of immunohistochemical diagnostic markers of CCC, i.e. HNF1β, Napsin A and P504S/Alpha-Methylacyl-CoA Racemase (AMACR). A systematic review and meta-analysis was conducted by searching 4 electronic databases from their inception to April 2022 for all studies assessing HNF1β, Napsin A and/or AMACR in endometrial CCC vs endometrioid/serous carcinomas. Diagnostic accuracy was assessed as sensitivity, specificity, positive and negative likelihood ratios (LR+ and LR-), diagnostic odds ratio (DOR) and area under the curve (AUC) on sROC curves. Eleven studies were included. HNF1β positivity (any expression) showed sensitivity= 0.78; specificity= 0.81; LR+ =2.46; LR-= 0.38; DOR= 5.96; AUC= 0.79. Diffuse HNF1β expression showed sensitivity= 0.53; specificity= 0.95; LR+ =9.68; LR-= 0.51; DOR= 18.02; AUC= 0.40. Napsin A positivity (any expression) showed sensitivity= 0.76; specificity= 0.97; LR+ =18.79; LR-= 0.27; DOR= 73.31; AUC= 0.81. Diffuse Napsin A expression showed sensitivity= 0.52; specificity= 0.99; LR+ =14.50; LR-= 0.55; DOR= 24.93; AUC= 0.98. AMACR positivity (any expression) showed sensitivity= 0.76; specificity= 0.86; LR+ =4.86; LR-= 0.30; DOR= 13.56; AUC was not assessable due to the presence of only 2 studies. In conclusion, HNF1β, Napsin A and AMACR show moderate accuracy in identifying endometrial CCC. Considering only a diffuse expression of these markers as positive leads to high specificity but low sensitivity. In particular, Napsin A appears as the most specific marker of endometrial CCC.
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84
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Glaire MA, Ryan NAJ, Ijsselsteijn ME, Kedzierska K, Obolenski S, Ali R, Crosbie EJ, Bosse T, de Miranda NFCC, Church DN. Discordant prognosis of mismatch repair deficiency in colorectal and endometrial cancer reflects variation in antitumour immune response and immune escape. J Pathol 2022; 257:340-351. [PMID: 35262923 PMCID: PMC9322587 DOI: 10.1002/path.5894] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 02/01/2022] [Accepted: 03/07/2022] [Indexed: 12/04/2022]
Abstract
Defective DNA mismatch repair (dMMR) causes elevated tumour mutational burden (TMB) and microsatellite instability (MSI) in multiple cancer types. dMMR/MSI colorectal cancers (CRCs) have enhanced T-cell infiltrate and favourable outcome; however, this association has not been reliably detected in other tumour types, including endometrial cancer (EC). We sought to confirm this and explore the underpinning mechanisms. We first meta-analysed CRC and EC trials that have examined the prognostic value of dMMR/MSI and confirmed that dMMR/MSI predicts better prognosis in CRC, but not EC, with statistically significant variation between cancers (hazard ratio [HR] = 0.63, 95% confidence interval [CI] = 0.54-0.73 versus HR = 1.15, 95% CI = 0.72-1.58; PINT = 0.02). Next, we studied intratumoural immune infiltrate in CRCs and ECs of defined MMR status and found that while dMMR was associated with increased density of tumour-infiltrating CD3+ and CD8+ T-cells in both cancer types, the increases were substantially greater in CRC and significant only in this group (PINT = 4.3e-04 and 7.3e-03, respectively). Analysis of CRC and EC from the independent Cancer Genome Atlas (TCGA) series revealed similar variation and significant interactions in proportions of tumour-infiltrating lymphocytes, CD8+ , CD4+ , NK cells and immune checkpoint expression, confirming a more vigorous immune response to dMMR/MSI in CRC than EC. Agnostic analysis identified the IFNγ pathway activity as strongly upregulated by dMMR/MSI in CRC, but downregulated in EC by frequent JAK1 mutations, the impact of which on IFNγ response was confirmed by functional analyses. Collectively, our results confirm the discordant prognosis of dMMR/MSI in CRC and EC and suggest that this relates to differences in intratumoural immune infiltrate and tumour genome. Our study underscores the need for tissue-specific analysis of cancer biomarkers and may help inform immunotherapy use. © 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)
- Mark A Glaire
- Cancer Genomics and Immunology Group, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Neil AJ Ryan
- Division of Cancer Sciences, Faculty of Biology, Medicine and HealthUniversity of Manchester, St Mary's HospitalManchesterUK
- Division of Evolution and Genomic Medicine, Faculty of Biology, Medicine and HealthUniversity of Manchester, St. Mary's HospitalManchesterUK
- The Academic Women's Health Unit, Translational Health SciencesBristol Medical School, University of BristolBristolUK
| | | | - Katarzyna Kedzierska
- Cancer Genomics and Immunology Group, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Sofia Obolenski
- Cancer Genomics and Immunology Group, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Reem Ali
- Cancer Genomics and Immunology Group, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Emma J Crosbie
- Division of Cancer Sciences, Faculty of Biology, Medicine and HealthUniversity of Manchester, St Mary's HospitalManchesterUK
- Department of Obstetrics and GynaecologySt Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science CentreManchesterUK
| | - Tjalling Bosse
- Department of PathologyLeiden University Medical CenterLeidenThe Netherlands
| | - Noel FCC de Miranda
- Department of PathologyLeiden University Medical CenterLeidenThe Netherlands
| | - David N Church
- Cancer Genomics and Immunology Group, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
- Oxford Cancer Centre, Churchill Hospital, Oxford University Hospitals Foundation NHS TrustOxfordUK
- Oxford NIHR Comprehensive Biomedical Research Centre, Oxford University Hospitals NHS Foundation TrustOxfordUK
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85
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Pu C, Biyuan, Xu K, Zhao Y. Glycosylation and its research progress in endometrial cancer. Clin Transl Oncol 2022; 24:1865-1880. [PMID: 35752750 PMCID: PMC9418304 DOI: 10.1007/s12094-022-02858-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 05/10/2022] [Indexed: 12/12/2022]
Abstract
Endometrial cancer (EC) is one of the most common tumors in the female reproductive system, which seriously threatens women's health, particularly in developed countries. 13% of the patients with EC have a poor prognosis due to recurrence and metastasis. Therefore, identifying good predictive biomarkers and therapeutic targets is critical to enable the early detection of metastasis and improve the prognosis. For decades, extensive studies had focused on glycans and glycoproteins in the progression of cancer. The types of glycans that are covalently attached to the polypeptide backbone, usually via nitrogen or oxygen linkages, are known as N‑glycans or O‑glycans, respectively. The degree of protein glycosylation and the aberrant changes in the carbohydrate structures have been implicated in the extent of tumorigenesis and reported to play a critical role in regulating tumor invasion, metabolism, and immunity. This review summarizes the essential biological role of glycosylation in EC, with a focus on the recent advances in glycomics and glycosylation markers, highlighting their implications in the diagnosis and treatment of EC.
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Affiliation(s)
- Congli Pu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Biyuan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Kai Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Yingchao Zhao
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. .,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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86
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Betella I, Fumagalli C, Rafaniello Raviele P, Schivardi G, De Vitis LA, Achilarre MT, Aloisi A, Garbi A, Maruccio M, Zanagnolo V, Aletti G, Guerini-Rocco E, Mariani A, Maggioni A, Barberis M, Colombo N, Multinu F. A novel algorithm to implement the molecular classification according to the new ESGO/ESTRO/ESP 2020 guidelines for endometrial cancer. Int J Gynecol Cancer 2022; 32:ijgc-2022-003480. [PMID: 35732351 DOI: 10.1136/ijgc-2022-003480] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To compare the risk class attribution with molecular classification unknown to those with molecular classification known, according to the European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology (ESGO/ESTRO/ESP) 2020 guidelines on endometrial cancer, with a focus on risk group migration. Additionally, to evaluate the capability of a novel molecular analysis algorithm to reduce the number of required tests. METHODS We conducted a retrospective study including all consecutive patients with endometrial cancer undergoing surgery and comprehensive molecular analyses between April 2019 and December 2021. Molecular analyses including immunohistochemistry for p53 and mismatch repair (MMR) proteins, and DNA sequencing for POLE exonuclease domain were performed to classify tumors as POLE-mutated (POLE), MMR-deficient (MMR-d), p53 abnormal (p53abn), or non-specific molecular profile (NSMP). The two risk classifications of the ESGO/ESTRO/ESP 2020 guidelines were compared to estimate the proportion of patients in which the molecular analysis was able to change the risk class attribution. We developed a novel algorithm where the molecular analyses are reserved only for patients in whom incorporation of the molecular classification could change the risk class attribution. RESULTS A total of 278 patients were included. Molecular analyses were successful for all cases, identifying the four subgroups: 27 (9.7%) POLE, 77 (27.7%) MMR-d, 49 (17.6%) p53abn, and 125 (45.0%) NSMP. Comparison of risk class attribution between the two classification systems demonstrated discordance in the risk class assignment in 19 (6.8%, 95% CI 4.2% to 10.5%) cases. The application of our novel algorithm would have led to a reduction in the number of POLE sequencing tests by 67% (95% CI 61% to 73%) and a decrease of p53 immunohistochemistry by 27% (95% CI 22% to 33%), as compared with the application of molecular classification to all patients. CONCLUSION Molecular categorization of endometrial cancer allows the reallocation of a considerable proportion of patients in a different risk class. Furthermore, the application of our algorithm enables a reduction in the number of required tests without affecting the risk classification.
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Affiliation(s)
- Ilaria Betella
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Caterina Fumagalli
- Clinical Unit of Oncogenomics, European Institute of Oncology (IEO), IRCCS, Milan, Italy
- Department of Diagnostic Services, Division of Pathology, Azienda Socio Sanitaria Territoriale della Valle Olona, Gallarate, Italy
| | | | - Gabriella Schivardi
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, New York, USA
| | | | | | - Alessia Aloisi
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Annalisa Garbi
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Matteo Maruccio
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Vanna Zanagnolo
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Giovanni Aletti
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Elena Guerini-Rocco
- Department of Pathology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Andrea Mariani
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, New York, USA
| | - Angelo Maggioni
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Massimo Barberis
- Department of Pathology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Nicoletta Colombo
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
- Faculty of Medicine and Surgery, Universita degli Studi di Milano-Bicocca, Milan, Italy
| | - Francesco Multinu
- Department of Gynecology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
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87
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Jamieson A, Barroilhet LM, McAlpine JN. Molecular classification in endometrial cancer: Opportunities for precision oncology in a changing landscape. Cancer 2022; 128:2853-2857. [DOI: 10.1002/cncr.34328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Amy Jamieson
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics University of British Columbia Vancouver British Columbia Canada
| | - Lisa M. Barroilhet
- Division of Gynecologic Oncology University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA
| | - Jessica N. McAlpine
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics University of British Columbia Vancouver British Columbia Canada
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88
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Li JJX, Ip PPC. Endometrial Cancer: An Update on Prognostic Pathologic Features and Clinically Relevant Biomarkers. Surg Pathol Clin 2022; 15:277-299. [PMID: 35715162 DOI: 10.1016/j.path.2022.02.006] [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] [Indexed: 06/15/2023]
Abstract
The prognosis of endometrial cancers has historically been determined by the evaluation of histologic typing, grading, and staging. Recently, molecular classification, pioneered by the 4 prognostic categories from The Cancer Genome Atlas Research Network, has been shown to independently predict the outcome, correlate with biomarker expression, and predict response to adjuvant chemotherapy. In modern-day pathology practice, it has become necessary to integrate the time-honored prognostic pathologic features with molecular classification to optimize patient management. In this review, the significance of the molecular classification of endometrioid carcinomas, the application of practical diagnostic surrogate algorithms, and interpretation of test results will be addressed. Histologic features and theragnostic biomarkers will also be discussed in relation to the molecular subtypes of endometrial cancers.
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Affiliation(s)
- Joshua J X Li
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR
| | - Philip P C Ip
- Department of Pathology, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pok Fu Lam Road, Hong Kong SAR.
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89
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Nero C, Pasciuto T, Cappuccio S, Corrado G, Pelligra S, Zannoni GF, Santoro A, Piermattei A, Minucci A, Lorusso D, Fanfani F, Scambia G. Further refining 2020 ESGO/ESTRO/ESP molecular risk classes in patients with early-stage endometrial cancer: A propensity score-matched analysis. Cancer 2022; 128:2898-2907. [PMID: 35617463 PMCID: PMC9541547 DOI: 10.1002/cncr.34331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 11/12/2022]
Abstract
Background The integration of molecular features with clinicopathological findings in endometrial cancer classification seems to be able to significantly refine risk assessment. Nevertheless, clinical management remains challenging, and different therapeutic options are available for each class. Further prognostic characterization of the subgroups within each risk class could be helpful in the decision‐making process. Methods This study evaluated the role of the 2020 European Society of Gynaecological Oncology (ESGO)/European Society for Radiotherapy and Oncology (ESTRO)/European Society of Pathology (ESP) risk assessment system and the three prognostic profiles adopted in the PORTEC‐4a trial in predicting disease‐free and overall survival in a retrospective study cohort of patients with early‐stage endometrial cancer. Patients were selected according to a 1:2 propensity score matching analysis. Moreover, the sequencing of 29 genes was undertaken for tumor samples. Results The study included 137 patients. No differences in disease‐free or overall survival at 5 years were observed among the 2020 ESGO/ESTRO/ESP risk classes without molecular features (p = .766 and p = .176, respectively). Once molecular features were integrated, the probability of overall survival was significantly different (p = .011). When the three prognostic profiles were applied, the probability of recurrence had a p value of .097, and significant differences were observed in overall survival (p = .004). Among patients experiencing recurrence, 17.6% showed mutations in BRCA1/2, RAD50, BRIP1, and XRCC2, whereas 22.5% had PD‐L1–positive expression and an MUTYH mutation. Conclusions Further stratification within each risk class according to the most relevant prognostic features could better define the prognosis of patients with early‐stage endometrial cancer. Nearly half of the patients who experienced recurrence showed a targetable molecular alteration for which dedicated trials should be encouraged. The 2020 molecular integrated risk assessment is of crucial importance for better defining the prognosis of patients with early‐stage endometrial cancer. Nevertheless, further stratification within each risk class according to the most relevant prognostic features could better define the biological behavior of the disease and thus allow better tailoring of adjuvant treatment.
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Affiliation(s)
- Camilla Nero
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Università Cattolica del Sacro Cuore, Rome, Italy
| | - Tina Pasciuto
- Research Core Facility Data Collection- Gemelli Science and Technology Park (G-STeP), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Serena Cappuccio
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giacomo Corrado
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Silvia Pelligra
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Gian Franco Zannoni
- Università Cattolica del Sacro Cuore, Rome, Italy.,Gineco-Patologia e Patologia Mammaria unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Angela Santoro
- Gineco-Patologia e Patologia Mammaria unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Alessia Piermattei
- Gineco-Patologia e Patologia Mammaria unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Angelo Minucci
- Diagnostica Molecolare e Genomica unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Domenica Lorusso
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Università Cattolica del Sacro Cuore, Rome, Italy
| | - Francesco Fanfani
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giovanni Scambia
- Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Università Cattolica del Sacro Cuore, Rome, Italy
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90
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Ju HY, Ho JY, Kang J, Hur SY, Kim S, Choi YJ, Han MR. Whole-Exome Sequencing Reveals Clinical Potential of Circulating Tumor DNA from Peritoneal Fluid and Plasma in Endometrial Cancer. Cancers (Basel) 2022; 14:2506. [PMID: 35626111 PMCID: PMC9139435 DOI: 10.3390/cancers14102506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 05/07/2022] [Accepted: 05/17/2022] [Indexed: 12/17/2022] Open
Abstract
Endometrial cancer (EC) is the most common type of gynecological cancer. Studies comparing tumor gDNA and ctDNA isolated from the plasma and peritoneal fluid of EC patients are limited. Whole-exome sequencing and P53 immunohistochemistry of 24 paired tissue, plasma, and peritoneal fluid samples from 10 EC patients were performed to analyze somatic mutations, copy number alterations, microsatellite instability, and mutational signatures. Mutations in cancer-related genes (KMT2C, NOTCH2, PRKAR1A, SDHA, and USP6) and genes related to EC (ARID1A, CTNNB1, PIK3CA, and PTEN) were identified with high frequencies among the three samples. TP53 and POLE mutations, which are highly related to the molecular classification of EC, were identified based on several key observations. The ctDNA of two patients with negative peritoneal fluid presented TP53 mutations concordant with those in tissues. ctDNA from the plasma and peritoneal fluid of a patient with positive cytology harbored both TP53 and POLE mutations, although none were detected in tissues. Additionally, the patient presented with wild type P53 immunohistochemistry, with a focal "high" expression in a "low" wild type background. The tissues and peritoneal fluid of 75% EC patients showed concordant microsatellite instability. Furthermore, we observed strong mutational concordance between the peritoneal fluid and tumors. Our data suggest that the ctDNA from peritoneal fluid might be a suitable biomarker for identifying the mutational landscape of EC and could complement tumor heterogeneity.
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Affiliation(s)
- Hye-Yeon Ju
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea;
| | - Jung Yoon Ho
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.Y.H.); (S.K.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Jun Kang
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea;
| | - Soo Young Hur
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.Y.H.); (S.K.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Sejin Kim
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.Y.H.); (S.K.)
| | - Youn Jin Choi
- Department of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; (J.Y.H.); (S.Y.H.); (S.K.)
- Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Mi-Ryung Han
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea;
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91
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Matrai CE, Ohara K, Eng KW, Glynn SM, Chandra P, Chatterjee-Paer S, Motanagh S, Mirabelli S, Kurtis B, He B, Sigaras A, Gupta D, Chapman-Davis E, Holcomb K, Sboner A, Elemento O, Ellenson LH, Mosquera JM. Molecular Evaluation of Low-grade Low-stage Endometrial Cancer With and Without Recurrence. Int J Gynecol Pathol 2022; 41:207-219. [PMID: 34483300 PMCID: PMC9018213 DOI: 10.1097/pgp.0000000000000798] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Low-grade, low-stage endometrioid carcinomas (LGLS EC) demonstrate 5-yr survival rates up to 95%. However, a small subset of these tumors recur, and little is known about prognostic markers or established mutation profiles associated with recurrence. The goal of the current study was to identify the molecular profiles of the primary carcinomas and the genomic differences between primary tumors and subsequent recurrences. Four cases of LGLS EC with recurrence and 8 cases without recurrence were evaluated via whole-exome sequencing. Three of the 4 recurrent tumors were evaluated via Oncomine Comprehensive Assay. The resulting molecular profiles of the primary and recurrent tumors were compared. Two of the 3 recurrent cases showed additional mutations in the recurrence. One recurrent tumor included an additional TP53 mutation and the other recurrent tumor showed POLE and DDR2 kinase gene mutation. The POLE mutation occurred outside the exonuclease domain. PIK3CA mutations were detected in 4 of 4 primary LGLS EC with recurrence and in 3 of 8 disease-free cases. LGLS EC with recurrence showed higher MSIsensor scores compared with LGLS without recurrence. The level of copy number gains in LGLS EC with recurrence was larger than LGLS EC without recurrence. This pilot study showed 1 of 3 recurrent cases gained a mutation associated with genetic instability (TP53) and 1 of them also acquired a mutation in the DDR2 kinase, a potential therapeutic target. We also noted a higher level of copy number gains, MSIsensor scores and PIK3CA mutations in the primary tumors that later recurred.
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92
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Prospective molecular classification of endometrial carcinomas: institutional implementation, practice, and clinical experience. Mod Pathol 2022; 35:688-696. [PMID: 34743187 DOI: 10.1038/s41379-021-00963-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 10/12/2021] [Accepted: 10/18/2021] [Indexed: 02/07/2023]
Abstract
The comprehensive genomic analysis of endometrial carcinoma (EC) by The Cancer Genome Atlas (TCGA) led to the discovery of four distinct and prognostically significant molecular subgroups. Molecular classification has the potential to improve risk-stratification when integrated with clinicopathologic features and has recently been included in national and international patient management EC guidelines. Thus, the adoption of molecular classification into routine pathologic and clinical practice is likely to grow significantly in the upcoming years. Establishing an efficient and standardized workflow for performing molecular classification on ECs, and reporting both the molecular and histologic findings in an integrative manner, is imperative. Here we describe our effort to implement rapid and routine molecular classification on all ECs diagnosed at our institution. To this effect, we performed immunohistochemistry as a surrogate marker for identifying genetic and/or epigenetic alterations in DNA mismatch repair (e.g., MLH1, PMS2, MSH6, MSH2), and TP53 genes. In addition, we have developed and employed a single-gene POLE SNaPshot assay, which is a rapid and analytically sensitive method for detecting select POLE exonuclease domain mutations (EDMs). We report our molecular testing workflow and integrative reporting system as well as the clinicopathologic and molecular features of 310 ECs that underwent routine molecular classification at our institution. The 310 ECs were molecularly classified as follows: 15 (5%) POLE mutant (POLEmut), 79 (25%) mismatch repair-deficient (MMRd), 135 (44%) no specific molecular profile (NSMP), and 81 (26%) p53 abnormal (p53abnl). This work provides an initial framework for implementing routine molecular classification of ECs.
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93
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Abstract
AbstractRandomized controlled trials (RCTs) are considered the gold standard for testing causal hypotheses in the clinical domain; however, the investigation of prognostic variables of patient outcome in a hypothesized cause–effect route is not feasible using standard statistical methods. Here we propose a new automated causal inference method (AutoCI) built on the invariant causal prediction (ICP) framework for the causal reinterpretation of clinical trial data. Compared with existing methods, we show that the proposed AutoCI allows one to clearly determine the causal variables of two real-world RCTs of patients with endometrial cancer with mature outcome and extensive clinicopathological and molecular data. This is achieved via suppressing the causal probability of non-causal variables by a wide margin. In ablation studies, we further demonstrate that the assignment of causal probabilities by AutoCI remains consistent in the presence of confounders. In conclusion, these results confirm the robustness and feasibility of AutoCI for future applications in real-world clinical analysis.
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94
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Njoku K, Barr CE, Crosbie EJ. Current and Emerging Prognostic Biomarkers in Endometrial Cancer. Front Oncol 2022; 12:890908. [PMID: 35530346 PMCID: PMC9072738 DOI: 10.3389/fonc.2022.890908] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/28/2022] [Indexed: 12/19/2022] Open
Abstract
Endometrial cancer is the most common gynaecological malignancy in high income countries and its incidence is rising. Whilst most women with endometrial cancer are diagnosed with highly curable disease and have good outcomes, a significant minority present with adverse clinico-pathological characteristics that herald a poor prognosis. Prognostic biomarkers that reliably select those at greatest risk of disease recurrence and death can guide management strategies to ensure that patients receive appropriate evidence-based and personalised care. The Cancer Genome Atlas substantially advanced our understanding of the molecular diversity of endometrial cancer and informed the development of simplified, pragmatic and cost-effective classifiers with prognostic implications and potential for clinical translation. Several blood-based biomarkers including proteins, metabolites, circulating tumour cells, circulating tumour DNA and inflammatory parameters have also shown promise for endometrial cancer risk assessment. This review provides an update on the established and emerging prognostic biomarkers in endometrial cancer.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Stoller Biomarker Discovery Centre, University of Manchester, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester, University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Chloe E. Barr
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester, University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Emma J. Crosbie
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
- Department of Obstetrics and Gynaecology, St Mary’s Hospital, Manchester, University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- *Correspondence: Emma J. Crosbie,
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95
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Romani C, Capoferri D, Reijnen C, Lonardi S, Ravaggi A, Ratti M, Bugatti M, Zanotti L, Tognon G, Sartori E, Odicino F, Calza S, Pijnenborg JMA, Bignotti E. L1CAM
expression as a predictor of platinum response in high‐risk endometrial carcinoma. Int J Cancer 2022; 151:637-648. [PMID: 35429348 PMCID: PMC9321598 DOI: 10.1002/ijc.34035] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/04/2022] [Accepted: 03/29/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Chiara Romani
- Department of Medical and Surgical Specialties, Radiological Sciences and Public HealthUniversity of BresciaBresciaItaly
| | - Davide Capoferri
- Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Casper Reijnen
- Department of Radiation OncologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Silvia Lonardi
- Department of PathologyASST Spedali Civili of BresciaBresciaItaly
| | - Antonella Ravaggi
- Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Martina Ratti
- Division of Obstetrics and GynecologyASST Spedali Civili di BresciaBresciaItaly
| | - Mattia Bugatti
- Department of PathologyASST Spedali Civili of BresciaBresciaItaly
| | - Laura Zanotti
- Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Germana Tognon
- Division of Obstetrics and GynecologyASST Spedali Civili di BresciaBresciaItaly
| | - Enrico Sartori
- Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Franco Odicino
- Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Stefano Calza
- Unit of Biostatistics and Bioinformatics, Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
| | - Johanna M. A. Pijnenborg
- Department of Obstetrics and GynaecologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Eliana Bignotti
- Division of Obstetrics and GynecologyASST Spedali Civili di BresciaBresciaItaly
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96
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Crosbie EJ, Kitson SJ, McAlpine JN, Mukhopadhyay A, Powell ME, Singh N. Endometrial cancer. Lancet 2022; 399:1412-1428. [PMID: 35397864 DOI: 10.1016/s0140-6736(22)00323-3] [Citation(s) in RCA: 361] [Impact Index Per Article: 180.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/26/2022] [Accepted: 02/03/2022] [Indexed: 12/21/2022]
Abstract
Endometrial cancer is the most common gynaecological cancer in high income countries and its incidence is rising globally. Although an ageing population and fewer benign hysterectomies have contributed to this trend, the growing prevalence of obesity is the major underlying cause. Obesity poses challenges for diagnosis and treatment and more research is needed to offer primary prevention to high-risk women and to optimise endometrial cancer survivorship. Early presentation with postmenopausal bleeding ensures most endometrial cancers are cured by hysterectomy but those with advanced disease have a poor prognosis. Minimally invasive surgical staging and sentinel-lymph-node biopsy provides a low morbidity alternative to historical surgical management without compromising oncological outcomes. Adjuvant radiotherapy reduces loco-regional recurrence in intermediate-risk and high-risk cases. Advances in our understanding of the molecular biology of endometrial cancer have paved the way for targeted chemotherapeutic strategies, and clinical trials will establish their benefit in adjuvant, advanced, and recurrent disease settings in the coming years.
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Affiliation(s)
- Emma J Crosbie
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, UK; Department of Obstetrics and Gynaecology, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
| | - Sarah J Kitson
- Gynaecological Oncology Research Group, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, St Mary's Hospital, Manchester, UK
| | - Jessica N McAlpine
- Department of Obstetrics and Gynaecology, Division of Gynecologic Oncology, University of British Columbia and BC Cancer, Vancouver, BC, Canada
| | - Asima Mukhopadhyay
- Kolkata Gynecological Oncology Trials and Translational Research Group, Chittaranjan National Cancer Institute, Kolkata, India; Department of Gynaecological Oncology, James Cook University Hospital, Middlesbrough, UK; Department of Gynaecological Oncology, Newcastle University, Newcastle upon Tyne, UK
| | - Melanie E Powell
- Department of Clinical Oncology, Barts and The London NHS Trust, London, UK
| | - Naveena Singh
- Department of Anatomic Pathology, Vancouver General Hospital, Vancouver, BC, Canada
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97
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Zannoni GF, Bragantini E, Castiglione F, Fassan M, Troncone G, Inzani F, Pesci A, Santoro A, Fraggetta F. Current Prognostic and Predictive Biomarkers for Endometrial Cancer in Clinical Practice: Recommendations/Proposal from the Italian Study Group. Front Oncol 2022; 12:805613. [PMID: 35463299 PMCID: PMC9024340 DOI: 10.3389/fonc.2022.805613] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 03/11/2022] [Indexed: 12/12/2022] Open
Abstract
Endometrial carcinoma (EC) is the most common gynecological malignant disease in high-income countries, such as European countries and the USA. The 2020 edition of the World Health Organization (WHO) Classification of Tumors of the Female Genital Tract underlines the important clinical implications of the proposed new histomolecular classification system for ECs. In view of the substantial genetic and morphological heterogeneity in ECs, both classical pthological parameters and molecular classifiers have to be integrated in the pathology report. This review will focus on the most commonly adopted immunohistochemical and molecular biomarkers in daily clinical characterization of EC, referring to the most recent published recommendations, guidelines, and expert opinions.
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Affiliation(s)
- Gian Franco Zannoni
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Istituto di Anatomia Patologica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Emma Bragantini
- Department of Surgical Pathology, Ospedale S. Chiara, Trento, Italy
| | - Francesca Castiglione
- Histopathology and Molecular Diagnostics, Careggi University Hospital, Florence, Italy
| | - Matteo Fassan
- Department of Medicine - DIMED, University of Padova, Padova, Italy
| | - Giancarlo Troncone
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Frediano Inzani
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Anna Pesci
- Department of Pathology, Sacred Heart Hospital Don Calabria Negrar, Verona, Italy
| | - Angela Santoro
- Unità di Ginecopatologia e Patologia Mammaria, Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Filippo Fraggetta
- Pathology Unit, “Cannizzaro” Hospital, Catania, Italy
- Pathology Unit, “Gravina” Hospital, Caltagirone, Italy
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98
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Sentinel Lymph Node Biopsy in Surgical Staging for High-Risk Groups of Endometrial Carcinoma Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063716. [PMID: 35329403 PMCID: PMC8949341 DOI: 10.3390/ijerph19063716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/14/2022] [Accepted: 03/18/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND In endometrial carcinoma (EC) patients, sentinel lymph node (SLN) biopsy has shown the potential to reduce post-operative morbidity and long-term complications, and to improve the detection of low-volume metastasis through ultrastaging. However, while it has shown high sensitivity and feasibility in low-risk EC patient groups, its role in high-risk groups is still unclear. AIM To assess the role of SLN biopsy through the cervical injection of indocyanine green (ICG) in high-risk groups of early-stage EC patients. MATERIALS AND METHODS Seven electronic databases were searched from their inception to February 2021 for studies that allowed data extraction about detection rate and accuracy of SLN biopsy through the cervical injection of ICG in high-risk groups of early-stage EC patients. We calculated pooled sensitivity, false negative (FN) rate, detection rate of SLN per hemipelvis (DRh), detection rate of SLN per patients (DRp), and bilateral detection rate of SLN (DRb), with 95% confidence interval (CI). RESULTS Five observational cohort studies (three prospective and two retrospective) assessing 578 high risk EC patients were included. SLN biopsy sensitivity in detecting EC metastasis was 0.90 (95% CI: 0.03-0.95). FN rate was 2.8% (95% CI: 0.6-11.6%). DRh was 88.4% (95% CI: 86-90.5%), DRp was 96.6% (95% CI: 94.7-97.8%), and DRb was 80% (95% CI: 75.4-83.9). CONCLUSION SLN biopsy through ICG cervical injection may be routinely adopted instead of systematic pelvic and para-aortic lymphadenectomy in surgical staging for high-risk groups of early-stage EC patients, as well as in low-risk groups.
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99
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Kobayashi Kato M, Asami Y, Takayanagi D, Matsuda M, Shimada Y, Hiranuma K, Kuno I, Komatsu M, Hamamoto R, Matumoto K, Ishikawa M, Kohno T, Kato T, Shiraishi K, Yoshida H. Clinical impact of genetic alterations of
CTNNB1
in patients with grade 3 endometrial endometrioid carcinoma. Cancer Sci 2022; 113:1712-1721. [PMID: 35278272 PMCID: PMC9128156 DOI: 10.1111/cas.15328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 11/30/2022] Open
Abstract
To identify prognostic factors in patients with grade 3 (high‐grade) endometrial endometrioid carcinoma, we evaluated the spectrum of genomic alterations and examined whether previously reported molecular subtypes of endometrial carcinoma were adapted to clinical outcome prediction. Seventy‐five Japanese patients with grade 3 endometrial endometrioid carcinoma, who underwent a potentially curative resection procedure between 1997 and 2018 at the National Cancer Center Hospital, were included. We classified the patients into four risk groups of the disease based on the Proactive Molecular Risk Classifier for Endometrial Cancer. Genomic alterations in PTEN, ARID1A, TP53, and PIK3CA were detected in more than 30% of the patients. Overall survival and recurrence‐free survival of patients with genomic alterations in CTNNB1 were poorer than those of patients with wild‐type CTNNB1 (p = 0.006 and p = 0.004, respectively). Compared with that of alterations prevalent in Caucasians, the frequency of genomic alterations in POLE and TP53 was higher in our study than in The Cancer Genome Atlas dataset (p = 0.01 and p = 0.01, respectively). The tendency for recurrence‐free survival in the POLE exonuclease domain mutation group was better than that in the TP53 mutation and mismatch repair‐deficient groups (p = 0.08 and p = 0.07, respectively), consistent with the Proactive Molecular Risk Classifier for Endometrial Cancer risk classifier definition. The CTNNB1 mutation is a potential novel biomarker for the prognosis of patients with grade 3 endometrial endometrioid carcinoma, and prognosis classification using Proactive Molecular Risk Classifier for Endometrial Cancer may help screen Japanese patients with the disease.
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Affiliation(s)
- Mayumi Kobayashi Kato
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
- Department of Gynecology National Cancer Center Hospital Tokyo 104‐0045 Japan
| | - Yuka Asami
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
- Department of Obstetrics and Gynecology Showa University School of Medicine Tokyo 142‐8555 Japan
| | - Daisuke Takayanagi
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
| | - Maiko Matsuda
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
| | - Yoko Shimada
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
| | - Kengo Hiranuma
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
| | - Ikumi Kuno
- Department of Gynecology National Cancer Center Hospital Tokyo 104‐0045 Japan
| | - Masaaki Komatsu
- Division of Medical AI Research and Development National Cancer Center Research Institute Tokyo 104‐0045 Japan
- Cancer Translational Research Team RIKEN Center for Advanced Intelligence Project Tokyo 103‐0027 Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development National Cancer Center Research Institute Tokyo 104‐0045 Japan
- Cancer Translational Research Team RIKEN Center for Advanced Intelligence Project Tokyo 103‐0027 Japan
| | - Koji Matumoto
- Department of Obstetrics and Gynecology Showa University School of Medicine Tokyo 142‐8555 Japan
| | - Mitsuya Ishikawa
- Department of Gynecology National Cancer Center Hospital Tokyo 104‐0045 Japan
| | - Takashi Kohno
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
| | - Tomoyasu Kato
- Department of Gynecology National Cancer Center Hospital Tokyo 104‐0045 Japan
| | - Kouya Shiraishi
- Division of Genome Biology National Cancer Center Research Institute Tokyo 104‐0045 Japan
| | - Hiroshi Yoshida
- Division of Diagnostic Pathology National Cancer Center Hospital Tokyo 104‐0045 Japan
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100
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Endometrial carcinoma molecular subtype correlates with the presence of lymph node metastases. Gynecol Oncol 2022; 165:376-384. [DOI: 10.1016/j.ygyno.2022.01.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/16/2022] [Accepted: 01/19/2022] [Indexed: 02/02/2023]
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