Literature DB >> 26831756

HSP110 T17 simplifies and improves the microsatellite instability testing in patients with colorectal cancer.

Olivier Buhard1, Anaïs Lagrange1, Agathe Guilloux2, Chrystelle Colas1, Mouna Chouchène1, Kristell Wanherdrick1, Florence Coulet1, Erell Guillerm1, Coralie Dorard1, Laetitia Marisa3, Adem Bokhari1, Malorie Greene1, Nizar El-Murr1, Sahra Bodo1, Martine Muleris1, Isabelle Sourouille1, Magali Svrcek4, Pascale Cervera4, Hélène Blanché5, Jérémie H Lefevre6, Yann Parc6, Come Lepage7, Caroline Chapusot7, Anne-Marie Bouvier7, Marie-Pierre Gaub8, Janick Selves9, Kerryn Garrett10, Barry Iacopetta11, Richie Soong12, Richard Hamelin1, Carmen Garrido13, Olivier Lascols14, Thierry André15, Jean-François Fléjou4, Ada Collura1, Alex Duval1.   

Abstract

BACKGROUND: Every colorectal cancer (CRC) patient should be tested for microsatellite instability (MSI, a marker for defective DNA mismatch repair) as a first screen for Lynch syndrome (LS). In this study, we investigated whether it may be possible to improve the detection of MSI in CRC. We examined whether the HT17 DNA repeat (critical for correct splicing of the chaperone HSP110) might constitute a superior marker for diagnosis of the MSI phenotype in patients with CRC compared with the standard panel of markers (pentaplex).
METHODS: The HT17 polymorphism was analysed in germline DNA from 1037 multi-ethnic individuals. We assessed its sensitivity and specificity for detecting MSI in a multicentre, population-based cohort of 685 patients with CRC and an additional series of 70 patients with CRC considered to be at-risk of LS. All cases were screened earlier for MSI using pentaplex markers. Cases showing discordant HT17/pentaplex results were further examined for the expression of mismatch repair proteins.
RESULTS: HT17 status was analysed independently and blinded to previous results from pentaplex genotyping. HT17 showed no germline allelic variation outside a very narrow range. Compared with the pentaplex panel, HT17 showed better sensitivity (0.984 (95% CI 0.968 to 0.995) vs 0.951 (95% CI 0.925 to 0.972)) and similar specificity (0.997 (95% CI 0.989 to 1.000) for both) for the detection of MSI. Furthermore, HT17 alone correctly classified samples judged to be uncertain with the pentaplex panel and showed excellent ability to detect MSI in patients with LS.
CONCLUSIONS: HT17 simplifies and improves the current standard molecular methods for detecting MSI in CRC. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Cancer: colon; Colorectal cancer; Diagnosis; Genetics; Molecular genetics

Mesh:

Substances:

Year:  2016        PMID: 26831756     DOI: 10.1136/jmedgenet-2015-103518

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  14 in total

Review 1.  Biomarkers for immune therapy in colorectal cancer: mismatch-repair deficiency and others.

Authors:  Manojkumar Bupathi; Christina Wu
Journal:  J Gastrointest Oncol       Date:  2016-10

Review 2.  Nivolumab in the treatment of microsatellite instability high metastatic colorectal cancer.

Authors:  Amir Mehrvarz Sarshekeh; Michael J Overman; Scott Kopetz
Journal:  Future Oncol       Date:  2018-02-23       Impact factor: 3.404

3.  MSI detection and its pitfalls in CMMRD syndrome in a family with a bi-allelic MLH1 mutation.

Authors:  Aurélia Nguyen; Gaelle Bougeard; Meriam Koob; Marie Pierre Chenard; Anne Schneider; Christine Maugard; Natacha Entz-Werle
Journal:  Fam Cancer       Date:  2016-10       Impact factor: 2.375

4.  Selecting the first chemical molecule inhibitor of HSP110 for colorectal cancer therapy.

Authors:  Gustavo J Gozzi; Daniel Gonzalez; Christophe Boudesco; Alexandre M M Dias; Guillaume Gotthard; Burhan Uyanik; Lucile Dondaine; Guillaume Marcion; François Hermetet; Camille Denis; Laurianne Hardy; Peggy Suzanne; Romain Douhard; Gaetan Jego; Laurence Dubrez; Oleg N Demidov; Fabrice Neiers; Loïc Briand; Jana Sopková-de Oliveira Santos; Anne-Sophie Voisin-Chiret; Carmen Garrido
Journal:  Cell Death Differ       Date:  2019-05-08       Impact factor: 15.828

5.  Assessment of Microsatellite Instability from Next-Generation Sequencing Data.

Authors:  Victor Renault; Emmanuel Tubacher; Alexandre How-Kit
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

6.  Mismatch repair deficiency/microsatellite instability testing as predictive immunotherapy biomarkers-possible diagnostic missteps trusting a single method.

Authors:  Ioanna Gazouli; George Zarkavelis; Davide Mauri; George Pentheroudakis
Journal:  Ann Transl Med       Date:  2019-12

7.  Advantage of HSP110 (T17) marker inclusion for microsatellite instability (MSI) detection in colorectal cancer patients.

Authors:  Gustavo Noriz Berardinelli; Cristovam Scapulatempo-Neto; Ronílson Durães; Marco Antônio de Oliveira; Denise Guimarães; Rui Manuel Reis
Journal:  Oncotarget       Date:  2018-06-19

8.  Association of Primary Resistance to Immune Checkpoint Inhibitors in Metastatic Colorectal Cancer With Misdiagnosis of Microsatellite Instability or Mismatch Repair Deficiency Status.

Authors:  Romain Cohen; Elisabeth Hain; Olivier Buhard; Agathe Guilloux; Armelle Bardier; Rachid Kaci; Philippe Bertheau; Florence Renaud; Frédéric Bibeau; Jean-François Fléjou; Thierry André; Magali Svrcek; Alex Duval
Journal:  JAMA Oncol       Date:  2019-04-01       Impact factor: 31.777

9.  Enhanced detection of microsatellite instability using pre-PCR elimination of wild-type DNA homo-polymers in tissue and liquid biopsies.

Authors:  Ioannis Ladas; Fangyan Yu; Ka Wai Leong; Mariana Fitarelli-Kiehl; Chen Song; Ravina Ashtaputre; Matthew Kulke; Harvey Mamon; G Mike Makrigiorgos
Journal:  Nucleic Acids Res       Date:  2018-07-06       Impact factor: 16.971

10.  Low temperature isothermal amplification of microsatellites drastically reduces stutter artifact formation and improves microsatellite instability detection in cancer.

Authors:  Antoine Daunay; Alex Duval; Laura G Baudrin; Olivier Buhard; Victor Renault; Jean-François Deleuze; Alexandre How-Kit
Journal:  Nucleic Acids Res       Date:  2019-12-02       Impact factor: 16.971

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