Review of study design, data QC and results
The Tumor Inflammation Signature (TIS) was predictive of response to Drug A, as were a number of lymphoid-related gene signatures. The sample size for Drug B was too small, and the results were consistent both with a model where TIS performs as it does in Drug A and with a model where TIS is not predictive of Drug B response.

A signature of B-cell abundance showed discordant patterns between the two drugs, predicting response to Drug A and non-response to Drug B.

Signal in this experiment was variable, and we removed 4 samples due to low expression.

Signal QC

This plot shows the mean log2-transformed expression of the housekeeper genes in each sample. Housekeeper gene signal is a good metric of data quality. Samples with low housekeeper signal suffer from either low sample input or low reaction efficiency, and data quality is reduced in them. NanoString standard practice is to discard all samples in which the mean of the IO 360 housekeepers falls below 5 (32 raw counts). Ideally, all samples will have a housekeeper mean of at least 7 (128 raw counts).

Study design and sample annotation

The below table shows mean log2 housekeeping gene, TIS, and all sample annotations used in the analysis.
ID Response Days.PFS Progression Drug TIS score
1 SMP001 PR/CR 1258 0 Drug A 8.5482
2 SMP002 PD/SD 23 1 Drug A 5.1614
3 SMP003 PD/SD 413 1 Drug A 5.9334
4 SMP004 PD/SD 222 1 Drug A 5.7286
5 SMP005 PD/SD 15 1 Drug A 6.5733
6 SMP006 PD/SD 35 1 Drug A 6.9021
7 SMP007 PD/SD 60 1 Drug A 7.2739
8 SMP008 PD/SD 47 1 Drug A 8.8182
9 SMP009 PR/CR 1202 0 Drug A 6.7026
10 SMP010 PR/CR 590 1 Drug A 6.2983
11 SMP011 PR/CR 965 0 Drug A 7.9185
12 SMP012 PR/CR 1271 0 Drug A 7.2317
13 SMP013 PD/SD 42 1 Drug A 7.5895
14 SMP014 PD/SD 222 1 Drug A 5.7285
15 SMP015 PD/SD 80 1 Drug A 8.3822
16 SMP016 PD/SD 222 1 Drug A 5.7548
17 SMP017 PR/CR 527 0 Drug A 5.8336
18 SMP018 PR/CR 1222 0 Drug A 7.8205
19 SMP019 PD/SD 35 1 Drug A 8.0951
20 SMP020 PD/SD 52 1 Drug B 6.1944
21 SMP021 PD/SD 112 1 Drug B 6.1351
22 SMP022 PR/CR 1091 0 Drug B 8.7378
23 SMP023 PD/SD 62 1 Drug B 4.7003
24 SMP024 PD/SD 80 1 Drug B 5.5719
25 SMP025 PR/CR 1459 0 Drug B 7.2987
26 SMP026 PD/SD 176 1 Drug B 5.9505
27 SMP027 PD/SD 82 1 Drug B 6.3054
28 SMP028 PD/SD 269 1 Drug B 5.9199
29 SMP029 PD/SD 69 1 Drug B 8.0401
30 SMP030 PR/CR 1076 0 Drug B 8.7311
31 SMP031 PD/SD 15 1 Drug B 6.7552
32 SMP032 PD/SD 25 1 Drug B 8.8213
33 SMP033 PR/CR 1007 0 Drug B 7.1255
34 SMP034 PD/SD 211 0 Drug B 6.7549
35 SMP035 PR/CR 1281 0 Drug B 8.4908
36 SMP036 PD/SD 126 1 Drug B 9.1774
37 SMP037 PD/SD 96 1 Drug B 7.2592
38 SMP038 PD/SD 475 1 Drug B 5.1256
39 SMP039 PD/SD 71 1 Drug B 6.6376
40 SMP040 PD/SD 49 1 Drug B 8.8831
41 SMP041 PD/SD 503 1 Drug B 6.5691
42 SMP042 PD/SD 69 1 Drug B 7.0526
43 SMP043 PD/SD 197 1 Drug B 7.7338
44 SMP044 PD/SD 72 1 Drug B 6.6677
45 SMP045 PR/CR 253 0 Drug B 6.7959
46 SMP046 PD/SD 100 1 Drug B 5.9169
47 SMP047 PD/SD 205 1 Drug B 6.0152
48 SMP048 PR/CR 1205 0 Drug B 7.2838
49 SMP049 PR/CR 723 1 Drug B 5.3339
50 SMP050 PD/SD 205 1 Drug B 6.8933
51 SMP051 PR/CR 279 0 Drug B 9.3315
52 SMP052 PR/CR 721 0 Drug B 6.7379
53 SMP053 PR/CR 712 0 Drug B 8.2314