Literature DB >> 32377987

Diagnostic Accuracy of Immunohistochemistry for Mismatch Repair Proteins as Surrogate of Microsatellite Instability Molecular Testing in Endometrial Cancer.

Antonio Raffone1, Antonio Travaglino2, Marco Cerbone1, Annarita Gencarelli3, Antonio Mollo4, Luigi Insabato3, Fulvio Zullo1.   

Abstract

Microsatellite instability (MSI) defines one of the four molecular groups of endometrial carcinoma identified by The Cancer Genome Atlas (TCGA). Immunohistochemistry for mismatch repair (MMR) proteins (MLH1, MSH2, MSH6, PMS2) has been proposed as a widely applicable technique to identify this group in the common practice. However, the diagnostic accuracy of such approach has never been calculated. We aimed to assess: 1) the diagnostic accuracy of MMR proteins immunohistochemistry as surrogate of MSI molecular testing in endometrial carcinoma; 2) whether a combination of only two MMR proteins may be used as a still cheaper test. A systematic review and meta-analysis of was performed by searching electronic databases from their inception to September 2019. All studies assessing endometrial carcinoma with both MMR proteins immunohistochemistry and MSI molecular testing were included. Diagnostic accuracy was assessed as sensitivity, specificity, positive and negative likelihood ratios (LR+, LR-), diagnostic odds ratio (DOR) and area under the curve (AUC) on SROC curves. A subgroup analysis was performed for a combination of only two MMR proteins (MLH1-MSH2 vs MSH6-PMS2). Ten studies with 3097 patients were included. Out of these, 1110 were suitable for the meta-analysis. Immunohistochemistry for all the four MMR proteins showed sensitivity = 0.96, specificity = 0.95, LR + =17.7, LR- = 0.05, DOR = 429.77, and high diagnostic accuracy (AUC = 0.988). The combination of MLH1 and MSH2 showed sensitivity = 0.88, specificity = 0.96, LR + =22.36, LR- = 0.15, DOR = 200.69, and high diagnostic accuracy (AUC = 0.9838). The combination of MSH6 and PMS2 showed the same results as the complete panel of four MMR proteins. In conclusion, MMR proteins immunohistochemistry is a highly accurate surrogate of MSI molecular testing in endometrial carcinoma. A combination of MSH6 and PMS2 may allow reducing the cost without decrease in the diagnostic accuracy.

Entities:  

Keywords:  Endometrial cancer; Microsatellite instability; Mismatch repair; ProMisE; Risk assessment; TCGA

Mesh:

Substances:

Year:  2020        PMID: 32377987     DOI: 10.1007/s12253-020-00811-5

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  17 in total

Review 1.  Prognostic value of the TCGA molecular classification in uterine carcinosarcoma.

Authors:  Antonio Travaglino; Antonio Raffone; Diego Raimondo; Damiano Arciuolo; Giuseppe Angelico; Michele Valente; Giulia Scaglione; Nicoletta D'alessandris; Paolo Casadio; Frediano Inzani; Antonio Mollo; Angela Santoro; Renato Seracchioli; Gian Franco Zannoni
Journal:  Int J Gynaecol Obstet       Date:  2021-10-11       Impact factor: 4.447

2.  Clinicopathologic Evaluation of CTNNB1 Mutations in High-Intermediate Risk Endometrial Endometrioid Carcinoma.

Authors:  Jennifer G Haag; Rebecca J Wolsky; Marisa R Moroney; Jamie Sheren; Jeanelle Sheeder; Benjamin G Bitler; Bradley R Corr
Journal:  Int J Gynecol Pathol       Date:  2022-03-14       Impact factor: 3.326

3.  Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer.

Authors:  Vanessa M López-Ozuna; Liron Kogan; Mahmood Y Hachim; Emad Matanes; Ibrahim Y Hachim; Cristina Mitric; Lauren Liu Chen Kiow; Susie Lau; Shannon Salvador; Amber Yasmeen; Walter H Gotlieb
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

4.  Molecular Evaluation of Endometrial Dedifferentiated Carcinoma, Endometrioid Carcinoma, Carcinosarcoma, and Serous Carcinoma Using a Custom-Made Small Cancer Panel.

Authors:  Yusuke Kobayashi; Ikumi Kitazono; Toshiaki Akahane; Shintaro Yanazume; Masaki Kamio; Shinichi Togami; Sachio Nohara; Ippei Sakamoto; Seiya Yokoyama; Kazuhiro Tabata; Hiroaki Kobayashi; Akihide Tanimoto
Journal:  Pathol Oncol Res       Date:  2021-12-23       Impact factor: 3.201

Review 5.  Predictive and Prognostic Value of Microsatellite Instability in Gynecologic Cancer (Endometrial and Ovarian).

Authors:  Camille Evrard; Jérôme Alexandre
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

Review 6.  New Pathological and Clinical Insights in Endometrial Cancer in View of the Updated ESGO/ESTRO/ESP Guidelines.

Authors:  Angela Santoro; Giuseppe Angelico; Antonio Travaglino; Frediano Inzani; Damiano Arciuolo; Michele Valente; Nicoletta D'Alessandris; Giulia Scaglione; Vincenzo Fiorentino; Antonio Raffone; Gian Franco Zannoni
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

Review 7.  Impact of adenomyosis on the prognosis of patients with endometrial cancer.

Authors:  Diego Raimondo; Antonio Raffone; Antonio Travaglino; Manuela Maletta; Paolo Casadio; Marco Ambrosio; Anna Chiara Aru; Angela Santoro; Gian Franco Zannoni; Luigi Insabato; Antonio Mollo; Fulvio Zullo; Renato Seracchioli
Journal:  Int J Gynaecol Obstet       Date:  2021-07-18       Impact factor: 4.447

8.  Prevalence of adenomyosis in endometrial cancer patients: a systematic review and meta-analysis.

Authors:  Antonio Raffone; Renato Seracchioli; Diego Raimondo; Manuela Maletta; Antonio Travaglino; Ivano Raimondo; Ilaria Giaquinto; Benedetta Orsini; Luigi Insabato; Massimiliano Pellicano; Fulvio Zullo
Journal:  Arch Gynecol Obstet       Date:  2020-10-23       Impact factor: 2.344

Review 9.  Detection of Microsatellite Instability: State of the Art and Future Applications in Circulating Tumour DNA (ctDNA).

Authors:  Pauline Gilson; Jean-Louis Merlin; Alexandre Harlé
Journal:  Cancers (Basel)       Date:  2021-03-24       Impact factor: 6.639

10.  Pre-treatment risk assessment of women with endometrial cancer: differences in outcomes of molecular and clinical classifications in the Slovenian patient cohort.

Authors:  Jure Knez; Monika Sobocan; Urska Belak; Rajko Kavalar; Mateja Zupin; Tomaz Büdefeld; Uros Potocnik; Iztok Takac
Journal:  Radiol Oncol       Date:  2021-09-17       Impact factor: 2.991

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