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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.
SNRPD1 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
114.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
295.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
280.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
223.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
220.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
214.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
206.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
206.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
202.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
201.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
200.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
200.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
194.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
190.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
188.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
186.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
185.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
184.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
184.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
182.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
181.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
179.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
179.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
178.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
178.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
177.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
176.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
175.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
175.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
175.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
174.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
174.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
172.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
171.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
170.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
168.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
168.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
167.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
164.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
162.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
159.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
158.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
156.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
156.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
155.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
155.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
154.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
154.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
153.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
153.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
152.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
151.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
151.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
150.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
149.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
149.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
148.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
148.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
147.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
145.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
145.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
142.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
141.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
140.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
138.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
138.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
137.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
137.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
135.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
134.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
134.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
133.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
133.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
131.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
130.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
130.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
129.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
129.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
128.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
128.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
128.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
128.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
127.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
127.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
126.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
126.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
125.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
124.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
123.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
122.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
122.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
121.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
121.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
120.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
119.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
119.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
118.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
118.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
117.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
116.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
116.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
116.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
115.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
115.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
115.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
114.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
114.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
113.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
112.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
112.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
111.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
111.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
111.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
110.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
110.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
109.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
109.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
109.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
108.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
108.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
108.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
108.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
108.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
107.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
107.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
107.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
106.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
106.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
106.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
105.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
105.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
105.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
104.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
104.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
103.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
103.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
102.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
102.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
102.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
102.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
101.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
101.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
101.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
100.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
100.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
100.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
100.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
99.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
99.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
99.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
98.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
97.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
97.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
97.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
97.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
96.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
96.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
96.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
96.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
95.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
95.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
94.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
94.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
93.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
89.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
89.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
89.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
88.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
88.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
87.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
86.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
86.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
85.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
85.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
85.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
85.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
85.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
84.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
84.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
83.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
83.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
83.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
82.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
82.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
82.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
81.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
80.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
80.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
80.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
80.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
80.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
80.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
79.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
78.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
78.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
76.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
76.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
75.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
74.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
73.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
72.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
71.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
71.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
70.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
70.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
69.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
68.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
68.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
67.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
67.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
65.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
62.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
60.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
59.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
57.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
54.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
54.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
41.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
SNRPD1 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
24.8
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
119.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
77.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
70.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
69.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
62.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
48.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
42.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
40.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
40.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
38.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
37.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
36.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
35.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
34.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
33.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
33.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
32.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
32.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
32.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
32.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
32.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
32.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
31.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
31.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
30.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
29.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
29.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
29.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
29.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
28.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
28.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
28.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
28.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
28.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
28.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
27.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
27.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
27.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
27.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
27.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
27.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
27.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
27.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
26.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
26.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
26.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
26.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
26.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
25.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
25.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
25.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
25.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
25.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
25.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
25.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
25.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
25.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
25.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
25.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
24.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
24.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
24.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
24.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
24.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
24.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
24.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
24.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
23.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
23.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
23.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
23.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
23.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
23.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
23.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
23.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
23.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
22.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
22.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
22.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
22.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
22.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
22.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
22.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
22.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
22.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
22.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
22.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
22.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
22.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
22.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
21.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
21.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
21.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
21.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
21.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
21.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
21.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
21.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
21.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
21.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
21.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
21.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
20.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
20.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
20.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
20.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
20.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
20.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
20.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
20.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
20.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
20.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
20.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
20.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
19.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
19.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
19.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
19.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
19.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
19.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
19.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
19.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
19.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
19.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
19.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
19.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
19.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
19.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
19.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
19.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
19.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
19.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
18.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
18.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
18.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
18.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
18.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
18.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
18.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
18.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
18.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
18.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
18.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
18.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
18.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
18.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
18.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
18.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
18.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
18.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
17.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
17.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
17.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
17.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
17.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
17.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
17.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
17.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
17.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
17.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
17.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
17.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
17.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
17.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
17.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
17.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
17.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
17.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
17.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
17.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
17.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
17.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
17.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
17.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
17.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
16.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
16.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
16.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
16.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
16.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
16.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
16.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
16.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
16.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
16.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
16.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
16.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
16.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
16.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
16.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
16.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
16.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
15.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
15.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
15.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
15.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
15.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
15.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
15.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
15.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
15.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
15.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
15.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
15.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
15.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
15.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
15.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
15.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
14.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
14.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
14.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
14.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
14.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
14.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
14.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
14.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
14.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
14.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
14.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
14.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
14.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
14.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
14.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
14.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
14.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
13.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
13.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
13.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
13.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
13.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
13.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
13.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
12.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
12.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
12.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
12.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
12.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
12.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
12.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
12.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
12.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
12.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
12.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
12.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
12.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
12.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
12.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
12.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
12.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
12.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
11.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
11.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
11.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
11.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
11.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
11.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
11.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
11.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
11.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
11.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
10.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
10.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
10.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
9.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
9.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
9.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
9.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
9.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
9.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
9.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.1
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.
SNRPD1 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
100.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
265.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
220.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
217.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
183.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
167.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
155.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
154.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
147.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
145.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
139.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
139.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
137.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
137.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
135.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
134.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
132.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
130.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
130.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
130.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
128.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
125.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
124.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
124.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
123.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
118.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
116.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
116.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
114.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
110.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
108.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
107.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
107.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
107.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
103.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
103.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
102.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
101.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
100.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
98.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
96.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
96.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
94.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
94.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
93.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
87.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
86.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
84.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
82.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
82.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
81.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
81.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
78.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
77.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
76.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
76.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
75.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
74.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
73.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
73.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
72.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
72.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
70.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
69.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
63.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
62.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
60.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
60.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
52.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
43.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
SNRPD1 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
19.7
Number of samples
207
Samples
Sample
Description
TPM
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
81.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
43.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
36.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
34.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
29.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
29.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
27.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
26.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
26.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
26.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
26.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
25.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
25.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
25.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
25.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
25.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
24.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
24.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
24.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
24.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
24.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
23.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
23.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
23.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
23.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
23.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
23.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
23.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
22.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
22.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
22.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
22.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
22.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
22.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
22.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
22.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
22.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
21.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
20.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
19.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
19.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
19.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
19.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
19.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
19.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
19.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
18.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
18.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
18.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
18.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
18.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
18.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
18.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
18.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
18.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
17.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
17.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
17.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
17.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
17.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
17.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
17.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
17.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
17.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
17.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
17.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
16.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
16.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
16.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
16.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
16.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
16.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
16.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
16.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
16.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
16.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
16.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
16.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
15.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
15.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
15.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
15.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
15.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
15.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
15.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
15.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
15.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
15.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
15.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
15.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
15.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
14.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
14.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
14.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
14.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
14.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
14.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
14.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
14.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
14.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
14.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
14.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
14.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
14.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
14.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
13.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
13.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
13.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
13.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
13.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
13.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
13.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
12.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
12.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
12.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
12.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
12.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
12.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
11.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
11.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
11.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
11.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
11.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
10.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
10.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
10.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
10.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
10.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
10.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
9.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
9.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
9.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
9.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
9.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
8.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
8.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
8.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
8.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
7.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
6.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
2.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
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
