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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NIPSNAP1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
54.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
203.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
130.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
128.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
124.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
122.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
122.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
112.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
109.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
109.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
107.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
104.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
99.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
96.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
95.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
85.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
83.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
82.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
82.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
82.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
82.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
81.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
81.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
81.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
81.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
80.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
79.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
78.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
77.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
77.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
76.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
75.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
75.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
74.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
72.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
72.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
72.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
72.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
72.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
71.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
71.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
70.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
70.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
68.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
68.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
68.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
68.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
67.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
67.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
67.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
66.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
66.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
65.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
64.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
63.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
63.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
62.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
61.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
61.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
60.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
57.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
55.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
53.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
53.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
51.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
50.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
49.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
49.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
48.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
48.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
46.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
45.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
45.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
45.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
44.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
43.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
42.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
42.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
41.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
34.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
33.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
28.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
26.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
25.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
25.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
24.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
21.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
19.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NIPSNAP1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
40.5
Number of samples
486
Samples
Sample
Description
TPM
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
92.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
90.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
86.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
84.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
77.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
72.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
71.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
70.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
69.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
66.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
65.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
64.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
62.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
59.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
58.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
56.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
55.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
53.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
53.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
52.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
50.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
48.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
43.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
42.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
38.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
37.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
36.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
35.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
34.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
34.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
34.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
32.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
32.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
31.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
31.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
31.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
30.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
30.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
29.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
29.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
29.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
28.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
28.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
28.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
27.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
27.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
27.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
27.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
27.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
26.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
26.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
26.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
26.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
26.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
25.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
25.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
25.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
25.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
24.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
24.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
24.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
24.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
24.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
24.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
23.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
23.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
22.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
22.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
21.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
21.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
21.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
20.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
20.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
19.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
18.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
18.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
18.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
17.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
15.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
10.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NIPSNAP1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
52.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
123.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
113.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
93.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
91.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
89.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
87.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
84.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
82.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
82.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
79.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
78.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
77.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
77.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
75.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
74.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
74.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
74.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
72.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
72.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
71.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
68.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
67.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
62.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
62.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
57.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
51.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
49.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
44.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
43.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
39.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
35.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
30.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
26.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
21.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NIPSNAP1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
35.3
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
86.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
82.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
51.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
50.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
43.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
38.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
36.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
32.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
30.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
30.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
29.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
27.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
26.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
25.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
24.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
23.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
22.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
21.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
21.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
20.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
20.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
18.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
18.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
18.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
16.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
16.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
15.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
15.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
13.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
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Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
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Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
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Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
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Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
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Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
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Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
