Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing

被引:13
作者
Albayrak, Adem [1 ]
Garrido-Castro, Ana C. [2 ,3 ]
Giannakis, Marios [2 ,3 ,4 ]
Umeton, Renato [1 ,5 ]
Manam, Monica Devi [9 ]
Stover, Elizabeth H. [2 ,3 ]
Porter, Rebecca L. [2 ,3 ]
Johnson, Bruce E. [2 ,3 ]
Liaw, Kai-Li [6 ]
Amonkar, Mayur [6 ]
Church, Alanna J. [3 ,7 ]
Janeway, Katherine A. [8 ]
Nowak, Jonathan A. [3 ,9 ]
Sholl, Lynette [3 ,9 ]
Lin, Nancy U. [2 ,3 ]
Johnson, Jason M. [1 ]
机构
[1] Dana Farber Canc Inst, Informat & Analyt Dept, 450 Brookline Ave, Boston, MA 02215 USA
[2] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02215 USA
[3] Harvard Med Sch, Boston, MA 02115 USA
[4] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[5] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[6] Merck, Kenilworth, NJ USA
[7] Boston Childrens Hosp, Dept Pathol, Boston, MA USA
[8] Dana Farber Canc Inst, Dept Pediat Oncol, Boston, MA 02215 USA
[9] Brigham & Womens Hosp, Dept Pathol, 75 Francis St, Boston, MA 02115 USA
关键词
D O I
10.1200/PO.20.00185
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PURPOSEGiven regulatory approval of immune checkpoint inhibitors in patients with mismatch repair-deficient (MMR-D) cancers agnostic to tumor type, it has become important to characterize occurrence of MMR-D and develop cost-effective screening approaches. Using a next-generation sequencing (NGS) panel (OncoPanel), we developed an algorithm to identify MMR-D frequency in tumor samples and applied it in a clinical setting with pathologist review.METHODSTo predict MMR-D, we adapted methods described previously for use in NGS panels, which assess patterns of single base-pair insertion or deletion events occurring in homopolymer regions. Tumors assayed with OncoPanel between July 2013 and July 2018 were included. For tumors tested after June 2017, sequencing results were presented to pathologists in real time for clinical MMR determination, in the context of tumor mutation burden, other mutational signatures, and clinical data.RESULTSOf 20,301 tumors sequenced, 2.7% (553) were retrospectively classified as MMR-D by the algorithm. Of 4,404 samples with pathologist sign-out of MMR status, the algorithm classified 147 (3.3%) as MMR-D: in 116 cases, MMR-D was confirmed by a pathologist, five cases were overruled by the pathologist, and 26 were assessed as indeterminate. Overall, the highest frequencies of OncoPanel-inferred MMR-D were in endometrial (21%; 152/723), colorectal (9.7%; 169/1,744), and small bowel (9.3%; 9/97) cancers. When algorithm predictions were compared with historical MMR immunohistochemistry or polymerase chain reaction results in a set of 325 tumors sequenced before initiation of pathologist assessment, the overall sensitivity and specificity of the algorithm were 91.1% and 98.2%, respectively.CONCLUSIONWe show that targeted, tumor-only NGS can be leveraged to determine MMR signatures across tumor types, suggesting that broader biomarker screening approaches may have clinical value.
引用
收藏
页码:1084 / 1097
页数:14
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