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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.
CRIP1 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
161.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1223.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
910.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
749.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
732.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
676.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
672.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
640.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
623.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
596.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
588.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
583.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
572.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
552.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
549.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
523.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
457.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
455.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
453.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
439.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
430.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
430.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
428.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
414.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
407.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
388.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
383.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
383.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
374.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
373.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
371.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
364.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
355.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
333.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
332.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
328.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
325.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
323.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
317.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
302.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
296.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
289.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
277.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
275.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
271.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
270.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
270.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
267.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
265.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
259.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
253.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
252.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
248.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
247.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
244.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
237.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
235.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
233.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
232.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
228.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
221.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
220.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
218.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
217.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
213.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
211.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
201.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
198.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
198.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
196.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
193.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
192.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
192.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
191.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
189.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
185.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
183.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
180.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
178.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
178.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
177.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
177.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
173.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
171.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
170.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
162.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
161.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
161.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
160.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
159.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
159.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
156.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
156.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
155.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
154.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
153.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
153.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
147.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
146.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
145.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
144.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
140.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
136.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
133.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
133.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
130.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
127.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
126.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
126.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
125.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
122.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
121.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
120.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
118.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
115.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
113.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
113.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
113.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
113.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
109.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
107.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
104.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
103.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
103.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
101.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
99.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
98.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
96.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
95.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
93.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
92.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
90.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
86.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
84.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
82.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
82.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
81.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
81.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
80.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
80.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
79.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
79.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
79.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
75.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
72.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
72.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
72.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
70.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
68.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
65.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
65.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
64.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
61.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
59.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
58.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
54.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
53.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
52.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
48.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
47.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
44.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
37.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
34.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
34.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
23.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
16.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
15.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 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.
CRIP1 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
66.8
Number of samples
486
Samples
Sample
Description
TPM
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
500.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
414.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
403.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
378.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
338.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
327.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
308.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
293.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
283.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
282.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
275.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
274.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
258.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
252.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
237.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
233.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
230.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
229.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
221.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
221.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
218.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
194.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
193.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
182.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
181.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
179.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
178.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
177.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
175.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
175.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
174.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
166.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
163.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
162.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
160.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
158.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
157.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
154.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
154.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
152.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
151.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
146.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
145.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
144.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
142.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
142.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
141.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
140.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
140.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
137.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
136.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
134.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
133.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
132.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
131.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
130.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
130.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
128.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
127.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
127.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
125.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
125.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
125.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
124.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
123.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
121.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
121.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
120.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
119.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
118.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
116.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
115.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
115.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
114.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
114.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
113.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
112.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
112.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
109.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
109.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
109.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
108.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
108.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
107.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
107.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
105.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
104.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
104.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
104.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
104.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
103.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
103.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
102.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
102.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
100.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
99.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
99.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
98.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
98.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
98.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
98.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
95.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
95.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
94.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
94.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
94.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
94.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
93.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
92.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
91.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
91.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
90.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
90.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
89.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
86.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
86.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
85.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
85.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
84.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
84.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
83.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
82.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
82.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
82.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
79.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
79.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
79.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
78.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
77.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
76.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
76.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
74.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
74.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
73.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
72.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
71.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
68.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
68.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
66.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
65.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
65.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
64.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
63.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
63.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
63.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
58.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
56.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
55.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
55.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
52.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
52.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
32.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
31.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
31.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
31.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
31.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
31.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
30.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
29.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
29.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
28.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
28.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
27.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
27.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
26.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
26.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
25.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
25.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
25.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
25.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
25.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
25.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
25.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
24.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
24.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
24.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
24.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
24.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
24.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
24.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
23.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
23.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
23.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
23.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
23.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
23.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
23.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
23.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
22.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
22.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
22.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
22.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
22.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
22.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
22.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
22.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
21.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
20.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
20.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
20.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
20.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
20.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
20.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
19.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
19.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
19.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
19.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
19.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
19.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
18.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
18.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
18.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
18.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
18.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
18.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
18.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
18.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
17.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
17.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
17.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
17.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
17.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
16.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
16.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
16.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
16.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
15.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
15.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
15.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
15.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
14.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
13.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
13.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
13.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
13.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
13.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
12.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
12.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
12.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
12.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
12.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
12.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
11.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
10.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
10.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
10.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
9.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
9.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
9.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
9.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
8.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
8.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
8.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
7.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
7.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
5.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.1
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.
CRIP1 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
147.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1287.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
682.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
609.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
594.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
548.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
532.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
427.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
400.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
355.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
304.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
290.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
261.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
245.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
242.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
242.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
221.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
197.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
184.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
182.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
169.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
165.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
158.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
152.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
151.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
150.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
144.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
141.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
137.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
131.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
124.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
119.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
119.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
113.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
112.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
111.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
110.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
107.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
106.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
106.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
101.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
99.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
97.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
96.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
94.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
90.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
84.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
79.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
73.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
73.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
72.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
67.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
63.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
61.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
51.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
48.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
45.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
42.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
23.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
CRIP1 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
43.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
407.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
207.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
189.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
176.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
163.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
161.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
160.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
158.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
147.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
131.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
128.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
103.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
99.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
99.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
95.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
94.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
93.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
93.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
93.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
92.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
91.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
90.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
88.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
78.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
75.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
73.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
72.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
64.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
62.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
49.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
33.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
29.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
28.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
28.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
27.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
27.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
25.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
24.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
24.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
23.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
23.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
23.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
22.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
22.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
22.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
21.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
21.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
21.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
21.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
20.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
20.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
20.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
19.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
18.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
18.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
18.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
18.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
18.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
17.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
17.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
17.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
17.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
17.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
17.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
16.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
16.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
16.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
16.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
15.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
15.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
15.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
15.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
15.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
14.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
14.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
13.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
13.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
13.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
13.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
12.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
11.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
11.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
11.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
11.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
10.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
10.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
10.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
7.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.2
963fc8db-f412-4427-a198-23f660_D2
Normal
1.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.0
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
