Literature DB >> 28877075

Microsatellite Instability: A Predictive Biomarker for Cancer Immunotherapy.

Liisa Chang1, Minna Chang2, Hanna M Chang2, Fuju Chang3,4.   

Abstract

Immunotherapy has shown promising results in various types of cancers. Checkpoint inhibitor drugs developed for cancer immunotherapy have been approved by the US Food and Drug Administration (FDA) for patients with advanced melanoma, non-small cell lung cancer, renal cell carcinoma, bladder cancers, and refractory Hodgkin lymphoma. In the latest announcement, the FDA has granted accelerated approval to pembrolizumab for pediatric and adult patients with microsatellite instability-high (MSI-H) or mismatch repair-deficient solid tumors. This is the first time the agency has approved a cancer treatment based on a common biomarker rather than organ-based approach. MSI-H, either due to inherited germline mutations of mismatch repair genes or epigenetic inactivation of these genes, is found in a subset of colorectal and noncolorectal carcinomas. It is known that MSI-H causes a build up of somatic mutations in tumor cells and leads to a spectrum of molecular and biological changes including high tumor mutational burden, increased expression of neoantigens and abundant tumor-infiltrating lymphocytes. These changes have been linked to increased sensitivity to checkpoint inhibitor drugs. In this mini review, we provide an update on MSI-related solid tumors with special focus on the predictive role of MSI for checkpoint immunotherapy.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 28877075     DOI: 10.1097/PAI.0000000000000575

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  107 in total

Review 1.  Systemic Management for Advanced Hepatocellular Carcinoma: A Review of the Molecular Pathways of Carcinogenesis, Current and Emerging Therapies, and Novel Treatment Strategies.

Authors:  Saad Saffo; Tamar H Taddei
Journal:  Dig Dis Sci       Date:  2019-04       Impact factor: 3.199

Review 2.  The current state of molecular testing in the treatment of patients with solid tumors, 2019.

Authors:  Wafik S El-Deiry; Richard M Goldberg; Heinz-Josef Lenz; Anthony F Shields; Geoffrey T Gibney; Antoinette R Tan; Jubilee Brown; Burton Eisenberg; Elisabeth I Heath; Surasak Phuphanich; Edward Kim; Andrew J Brenner; John L Marshall
Journal:  CA Cancer J Clin       Date:  2019-05-22       Impact factor: 508.702

3.  Evaluating Mismatch Repair/Microsatellite Instability Status Using Cytology Effusion Specimens to Determine Eligibility for Immunotherapy.

Authors:  Elizabeth M Jacobi; Gene Landon; Russell R Broaddus; Sinchita Roy-Chowdhuri
Journal:  Arch Pathol Lab Med       Date:  2020-03-30       Impact factor: 5.534

4.  A Canadian guideline on the use of next-generation sequencing in oncology.

Authors:  S Yip; A Christofides; S Banerji; M R Downes; I Izevbaye; B Lo; A MacMillan; J McCuaig; T Stockley; G M Yousef; A Spatz
Journal:  Curr Oncol       Date:  2019-04-01       Impact factor: 3.677

Review 5.  The evolving role of cytoreductive nephrectomy: incorporating genomics of metastatic renal cell carcinoma into treatment decisions.

Authors:  Roy Mano; Nikhil Gopal; A Ari Hakimi
Journal:  Curr Opin Urol       Date:  2019-09       Impact factor: 2.309

Review 6.  The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy.

Authors:  Daniela Bruni; Helen K Angell; Jérôme Galon
Journal:  Nat Rev Cancer       Date:  2020-08-04       Impact factor: 60.716

Review 7.  Re-Emergence of Dendritic Cell Vaccines for Cancer Treatment.

Authors:  Mansi Saxena; Nina Bhardwaj
Journal:  Trends Cancer       Date:  2018-02

Review 8.  Anti-programmed Death-1 Immunotherapy for Endometrial Cancer with Microsatellite Instability-High Tumors.

Authors:  Janelle Sobecki-Rausch; Lisa Barroilhet
Journal:  Curr Treat Options Oncol       Date:  2019-11-21

9.  The Importance of Distinguishing Sporadic Cancers from Those Related to Cancer Predisposing Germline Mutations.

Authors:  Steven Sorscher
Journal:  Oncologist       Date:  2018-06-04

10.  A machine learning approach for somatic mutation discovery.

Authors:  Derrick E Wood; James R White; Andrew Georgiadis; Beth Van Emburgh; Sonya Parpart-Li; Jason Mitchell; Valsamo Anagnostou; Noushin Niknafs; Rachel Karchin; Eniko Papp; Christine McCord; Peter LoVerso; David Riley; Luis A Diaz; Siân Jones; Mark Sausen; Victor E Velculescu; Samuel V Angiuoli
Journal:  Sci Transl Med       Date:  2018-09-05       Impact factor: 17.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.