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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.
GPRC5A 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
113.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
682.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
536.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
524.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
365.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
363.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
360.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
359.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
349.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
298.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
277.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
270.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
265.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
256.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
256.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
254.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
252.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
251.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
249.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
242.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
236.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
235.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
232.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
228.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
226.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
226.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
222.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
218.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
218.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
217.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
213.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
209.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
207.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
202.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
202.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
201.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
197.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
190.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
188.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
187.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
179.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
178.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
176.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
173.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
172.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
170.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
168.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
166.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
164.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
164.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
161.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
160.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
159.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
156.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
156.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
156.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
154.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
153.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
153.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
145.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
144.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
144.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
144.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
141.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
140.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
139.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
139.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
137.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
135.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
134.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
134.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
134.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
133.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
133.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
133.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
132.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
131.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
131.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
130.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
129.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
129.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
128.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
125.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
124.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
123.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
120.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
120.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
118.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
118.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
117.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
116.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
116.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
116.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
115.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
115.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
112.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
112.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
111.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
111.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
110.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
109.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
108.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
107.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
106.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
105.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
104.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
104.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
102.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
102.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
101.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
101.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
101.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
100.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
100.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
99.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
99.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
99.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
99.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
98.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
97.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
96.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
93.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
93.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
92.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
91.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
91.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
90.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
90.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
90.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
90.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
90.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
89.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
89.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
89.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
86.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
85.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
84.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
83.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
83.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
83.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
83.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
82.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
81.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
80.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
79.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
78.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
77.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
77.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
77.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
75.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
74.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
74.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
74.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
73.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
72.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
70.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
69.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
69.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
69.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
68.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
67.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
67.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
67.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
66.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
64.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
64.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
63.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
63.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
63.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
62.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
62.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
62.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
61.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
60.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
57.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
56.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
51.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
50.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
48.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
40.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
39.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
39.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
38.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
29.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
GPRC5A 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
232.9
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1275.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1151.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
945.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
924.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
899.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
839.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
803.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
787.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
776.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
746.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
709.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
706.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
689.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
594.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
588.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
583.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
558.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
543.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
540.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
538.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
534.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
524.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
524.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
497.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
496.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
496.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
493.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
482.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
482.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
481.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
478.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
477.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
474.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
461.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
461.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
448.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
445.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
442.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
438.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
426.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
424.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
423.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
414.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
413.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
410.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
409.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
406.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
405.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
403.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
402.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
401.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
400.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
399.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
399.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
390.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
389.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
383.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
380.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
377.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
376.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
376.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
376.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
368.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
368.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
367.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
366.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
366.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
365.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
364.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
363.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
361.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
360.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
359.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
358.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
356.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
356.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
354.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
353.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
349.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
349.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
347.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
346.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
345.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
343.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
343.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
342.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
337.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
336.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
332.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
330.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
329.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
329.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
329.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
327.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
326.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
325.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
324.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
323.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
323.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
322.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
322.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
321.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
316.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
315.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
309.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
306.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
306.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
305.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
305.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
304.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
304.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
304.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
304.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
302.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
301.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
301.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
298.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
298.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
297.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
297.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
290.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
288.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
288.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
287.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
287.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
287.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
286.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
285.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
285.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
283.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
282.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
282.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
281.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
280.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
279.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
278.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
278.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
278.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
276.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
275.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
275.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
274.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
274.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
272.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
271.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
269.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
268.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
268.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
267.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
266.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
265.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
264.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
263.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
263.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
263.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
261.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
260.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
260.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
259.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
258.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
257.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
256.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
256.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
256.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
255.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
255.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
255.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
255.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
252.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
251.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
248.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
247.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
246.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
245.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
243.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
242.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
242.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
242.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
241.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
241.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
237.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
237.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
237.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
235.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
235.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
235.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
235.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
234.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
234.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
232.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
231.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
230.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
228.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
226.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
226.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
224.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
223.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
220.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
219.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
219.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
217.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
217.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
216.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
216.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
216.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
215.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
215.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
215.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
215.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
215.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
214.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
214.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
213.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
212.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
208.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
208.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
208.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
208.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
207.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
206.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
206.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
206.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
204.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
204.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
203.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
203.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
202.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
202.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
202.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
201.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
200.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
200.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
199.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
198.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
198.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
198.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
197.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
195.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
194.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
194.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
193.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
193.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
192.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
191.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
190.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
190.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
190.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
189.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
189.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
189.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
188.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
187.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
187.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
187.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
186.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
186.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
185.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
185.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
184.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
183.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
183.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
182.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
182.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
181.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
181.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
180.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
180.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
179.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
178.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
177.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
177.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
177.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
174.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
174.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
173.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
173.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
173.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
172.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
172.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
172.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
172.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
172.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
172.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
170.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
170.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
170.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
170.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
169.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
168.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
168.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
168.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
168.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
168.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
166.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
166.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
166.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
165.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
164.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
163.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
163.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
162.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
162.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
162.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
160.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
160.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
159.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
159.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
159.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
158.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
157.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
157.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
156.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
156.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
155.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
155.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
155.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
154.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
154.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
153.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
152.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
152.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
152.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
151.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
150.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
150.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
150.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
150.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
149.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
149.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
149.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
149.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
148.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
147.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
147.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
147.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
146.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
146.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
146.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
145.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
144.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
143.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
143.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
142.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
142.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
140.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
140.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
140.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
140.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
139.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
139.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
139.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
138.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
137.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
137.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
136.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
135.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
135.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
133.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
132.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
131.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
131.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
130.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
130.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
130.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
129.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
129.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
128.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
127.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
127.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
126.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
126.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
126.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
125.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
125.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
125.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
124.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
124.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
123.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
123.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
123.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
122.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
122.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
121.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
121.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
121.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
121.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
121.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
120.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
119.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
118.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
118.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
117.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
115.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
112.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
112.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
112.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
111.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
110.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
109.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
109.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
108.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
108.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
108.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
107.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
107.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
106.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
106.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
106.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
105.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
104.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
103.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
103.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
103.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
103.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
102.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
102.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
102.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
100.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
100.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
98.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
98.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
98.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
98.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
96.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
95.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
95.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
94.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
94.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
94.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
94.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
94.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
93.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
92.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
92.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
92.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
90.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
88.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
87.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
86.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
86.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
84.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
83.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
83.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
81.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
80.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
80.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
80.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
79.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
79.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
77.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
75.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
74.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
74.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
74.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
72.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
71.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
71.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
71.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
65.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
61.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
61.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
51.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
11.1
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.
GPRC5A 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
97.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
339.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
305.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
305.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
288.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
267.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
206.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
194.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
175.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
173.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
168.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
163.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
152.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
147.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
144.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
139.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
135.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
132.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
126.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
120.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
117.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
115.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
113.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
110.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
108.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
108.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
106.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
105.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
104.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
103.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
100.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
98.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
96.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
95.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
92.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
92.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
91.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
88.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
84.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
84.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
82.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
81.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
80.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
80.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
79.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
79.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
78.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
75.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
70.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
69.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
66.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
63.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
62.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
59.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
37.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
35.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
26.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
GPRC5A 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
225.7
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2447.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
688.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
503.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
489.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
484.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
477.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
474.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
467.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
444.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
431.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
425.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
415.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
412.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
409.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
402.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
391.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
388.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
387.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
371.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
365.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
357.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
355.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
352.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
344.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
341.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
337.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
328.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
328.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
323.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
320.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
313.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
311.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
310.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
310.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
308.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
307.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
307.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
305.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
303.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
303.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
300.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
292.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
290.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
290.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
288.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
287.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
286.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
286.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
282.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
282.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
278.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
278.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
277.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
273.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
272.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
270.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
269.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
265.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
264.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
261.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
261.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
260.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
259.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
253.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
253.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
246.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
246.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
243.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
242.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
242.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
242.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
238.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
238.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
237.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
237.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
236.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
234.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
233.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
233.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
232.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
230.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
230.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
228.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
227.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
226.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
226.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
224.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
223.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
223.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
223.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
221.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
220.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
220.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
218.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
217.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
212.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
209.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
207.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
207.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
207.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
206.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
204.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
204.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
201.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
200.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
200.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
200.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
199.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
195.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
192.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
192.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
191.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
190.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
189.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
188.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
187.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
186.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
184.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
182.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
182.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
181.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
181.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
179.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
179.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
172.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
170.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
170.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
165.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
165.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
163.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
163.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
162.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
161.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
161.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
159.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
157.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
155.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
154.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
154.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
154.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
153.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
153.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
151.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
151.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
151.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
148.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
147.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
146.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
145.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
145.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
143.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
140.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
139.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
139.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
137.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
137.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
136.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
135.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
134.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
130.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
129.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
128.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
128.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
128.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
127.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
126.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
126.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
123.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
120.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
116.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
116.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
115.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
114.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
112.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
111.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
111.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
111.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
109.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
108.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
105.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
105.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
99.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
99.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
97.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
96.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
93.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
91.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
89.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
89.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
87.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
86.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
81.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
77.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
69.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
52.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
42.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
2.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
2.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
2.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
2.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
1.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.9
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.9
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-1.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-1.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-1.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-1.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.3
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-1.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-2.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-2.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-2.1
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
