Immuno-oncology gene expression profiling of formalin-fixed and paraffin-embedded clear cell renal cell carcinoma: Performance comparison of the NanoString nCounter technology with targeted RNA sequencing

被引:9
作者
Talla, Suranand B. [1 ]
Rempel, Eugen [1 ,2 ]
Endris, Volker [1 ]
Jenzer, Maximilian [4 ]
Allgaeuer, Michael [1 ]
Schwab, Constantin [1 ]
Kazdal, Daniel [1 ]
Stoegbauer, Fabian [3 ]
Volckmar, Anna-Lena [1 ]
Kocsmar, Ildiko [1 ]
Neumann, Olaf [1 ]
Schirmacher, Peter [1 ,2 ]
Zschaebitz, Stefanie [4 ]
Duensing, Stefan [5 ]
Budczies, Jan [1 ,2 ]
Stenzinger, Albrecht [1 ,2 ]
Kirchner, Martina [1 ,2 ]
机构
[1] Heidelberg Univ Hosp, Inst Pathol, Heidelberg, Germany
[2] German Canc Consortium DKTK, Heidelberg Partner Site, Heidelberg, Germany
[3] Tech Univ Munich, Inst Pathol, Munich, Germany
[4] Natl Ctr Tumor Dis NCT Heidelberg, Dept Med Oncol, Heidelberg, Germany
[5] Univ Hosp Heidelberg, Dept Urol, Mol Urooncol, Heidelberg, Germany
关键词
FFPE; immune checkpoint blockade (ICB); NanoString; renal cell cancer; RNA-Seq; THERAPY; CANCER; COMBINATION; VALIDATION; AGREEMENT; PLATFORM; SEQ;
D O I
10.1002/gcc.22843
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Inflammatory gene signatures are currently being explored as predictive biomarkers for immune checkpoint blockade, and particularly for the treatment of renal cell cancers. From a diagnostic point of view, the nCounter analysis platform and targeted RNA sequencing are emerging alternatives to microarrays and comprehensive transcriptome sequencing in assessing formalin-fixed and paraffin-embedded (FFPE) cancer samples. So far, no systematic study has analyzed and compared the technical performance metrics of these two approaches. Filling this gap, we performed a head-to-head comparison of two commercially available immune gene expression assays, using clear cell renal cell cancer FFPE specimens. We compared the nCounter system that utilizes a direct hybridization technology without amplification with an NGS assay that is based on targeted RNA-sequencing with preamplification. We found that both platforms displayed high technical reproducibility and accuracy (Pearson coefficient: >= 0.96, concordance correlation coefficient [CCC]: >= 0.93). A density plot for normalized expression of shared genes on both platforms showed a comparable bi-modal distribution and dynamic range. RNA-Seq demonstrated relatively larger signaling intensity whereas the nCounter system displayed higher inter-sample variability. Estimated fold changes for all shared genes showed high correlation (Spearman coefficient: 0.73). This agreement is even better when only significantly differentially expressed genes were compared. Composite gene expression profiles, such as an interferon gamma (IFNg) signature, can be reliably inferred by both assays. In summary, our study demonstrates that focused transcript read-outs can reliably be achieved by both technologies and that both approaches achieve comparable results despite their intrinsic technical differences.
引用
收藏
页码:406 / 416
页数:11
相关论文
共 38 条
[1]  
Bassani Niccolo P, 2014, Microarrays (Basel), V3, P302, DOI 10.3390/microarrays3040302
[2]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[3]   COMPARING METHODS OF MEASUREMENT - WHY PLOTTING DIFFERENCE AGAINST STANDARD METHOD IS MISLEADING [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1995, 346 (8982) :1085-1087
[4]   Measuring agreement in method comparison studies [J].
Bland, JM ;
Altman, DG .
STATISTICAL METHODS IN MEDICAL RESEARCH, 1999, 8 (02) :135-160
[5]   STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1986, 1 (8476) :307-310
[6]   Gene expression profiling of anti-CTLA4-treated metastatic melanoma in patients with treatment-induced autoimmunity [J].
Bresler, Scott C. ;
Min, Le ;
Rodig, Scott J. ;
Walls, Andrew C. ;
Xu, Shuyun ;
Geng, Songmei ;
Hodi, F. Stephen ;
Murphy, George F. ;
Lian, Christine G. .
LABORATORY INVESTIGATION, 2017, 97 (02) :207-216
[7]  
CHOUEIRI TK, 2019, J CLIN ONCOL S, V37
[8]   Impact of Sequencing Targeted Therapies With High-dose Interleukin-2 Immunotherapy: An Analysis of Outcome and Survival of Patients With Metastatic Renal Cell Carcinoma From an On-going Observational IL-2 Clinical Trial: PROCLAIMSM [J].
Clark, Joseph I. ;
Wong, Michael K. K. ;
Kaufman, Howard L. ;
Daniels, Gregory A. ;
Morse, Michael A. ;
McDermott, David F. ;
Agarwala, Sanjiv S. ;
Lewis, Lionel D. ;
Stewart, John H. ;
Vaishampayan, Ulka ;
Curti, Brendan ;
Gonzalez, Rene ;
Lutzky, Jose ;
Rudraptna, Venkatesh ;
Cranmer, Lee D. ;
Jeter, Joanne M. ;
Hauke, Ralph J. ;
Miletello, Gerald ;
Milhem, Mohammed M. ;
Amin, Asim ;
Richart, John M. ;
Fishman, Mayer ;
Hallmeyer, Sigrun ;
Patel, Sapna P. ;
Van Veldhuizen, Peter ;
Agarwa, Neeraj ;
Taback, Bret ;
Treisman, Jonathan S. ;
Ernstoff, Marc S. ;
Perritt, Jessica C. ;
Hua, Hong ;
Rao, Tharak B. ;
Dutcher, Janice P. ;
Aung, Sandra .
CLINICAL GENITOURINARY CANCER, 2017, 15 (01) :31-41
[9]   Analytical Validation of a Next-Generation Sequencing Assay to Monitor Immune Responses in Solid Tumors [J].
Conroy, Jeffrey M. ;
Pabla, Sarabjot ;
Glenn, Sean T. ;
Burgher, Blake ;
Nesline, Mary ;
Papanicolau-Sengos, Antonios ;
Andreas, Jonathan ;
Giamo, Vincent ;
Lenzo, Felicia L. ;
Hyland, Fiona C. L. ;
Omilian, Angela ;
Bshara, Wiam ;
Qin, Moachun ;
He, Ji ;
Puzanov, Igor ;
Ernstoff, Marc S. ;
Gardner, Mark ;
Galluzzi, Lorenzo ;
Morrison, Carl .
JOURNAL OF MOLECULAR DIAGNOSTICS, 2018, 20 (01) :95-109
[10]   Immune Effects of Bevacizumab: Killing Two Birds with One Stone [J].
Elamin, Yasir Y. ;
Rafee, Shereen ;
Toomey, Sinead ;
Hennessy, Bryan T. .
CANCER MICROENVIRONMENT, 2015, 8 (01) :15-21