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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.
ID1 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
160.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1259.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
877.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
844.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
725.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
610.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
586.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
573.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
563.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
546.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
532.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
524.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
498.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
498.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
492.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
487.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
482.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
466.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
445.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
417.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
414.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
401.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
385.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
384.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
383.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
379.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
379.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
365.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
357.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
356.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
354.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
333.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
327.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
319.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
316.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
310.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
308.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
304.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
299.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
291.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
279.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
277.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
275.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
270.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
266.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
266.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
262.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
256.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
256.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
253.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
252.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
242.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
241.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
238.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
235.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
233.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
228.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
228.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
226.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
221.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
218.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
217.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
217.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
217.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
215.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
215.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
213.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
211.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
211.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
210.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
205.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
199.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
199.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
196.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
196.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
195.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
192.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
192.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
189.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
188.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
185.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
184.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
182.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
181.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
179.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
175.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
172.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
169.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
168.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
168.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
165.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
164.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
161.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
159.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
157.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
157.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
153.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
153.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
152.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
149.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
149.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
147.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
147.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
145.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
144.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
143.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
140.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
138.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
136.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
134.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
133.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
130.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
128.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
128.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
127.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
126.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
126.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
126.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
125.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
121.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
119.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
119.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
118.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
118.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
118.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
116.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
116.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
115.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
113.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
107.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
105.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
105.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
103.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
103.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
99.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
98.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
97.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
95.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
95.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
92.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
91.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
91.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
89.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
87.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
86.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
85.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
85.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
83.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
81.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
76.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
74.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
74.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
72.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
72.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
71.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
69.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
66.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
64.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
60.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
60.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
59.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
57.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
56.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
56.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
54.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
53.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
52.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
48.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
44.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
40.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
35.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
32.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
26.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
23.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
17.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
16.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
11.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 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.
ID1 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
138.2
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1078.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
824.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
688.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
603.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
583.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
577.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
545.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
543.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
521.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
520.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
508.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
495.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
488.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
480.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
474.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
461.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
461.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
459.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
458.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
440.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
436.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
432.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
428.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
427.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
412.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
409.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
395.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
388.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
385.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
382.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
354.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
348.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
343.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
342.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
341.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
341.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
332.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
331.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
329.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
325.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
325.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
323.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
312.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
312.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
312.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
310.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
309.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
301.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
298.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
296.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
293.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
292.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
285.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
284.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
282.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
282.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
280.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
280.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
280.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
279.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
279.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
278.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
271.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
269.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
266.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
266.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
266.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
265.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
265.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
263.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
261.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
260.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
257.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
256.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
254.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
253.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
250.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
248.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
248.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
245.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
240.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
239.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
236.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
235.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
234.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
233.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
233.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
232.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
226.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
225.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
221.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
219.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
218.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
217.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
215.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
214.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
213.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
212.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
210.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
209.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
207.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
206.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
206.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
206.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
206.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
204.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
204.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
203.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
202.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
199.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
193.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
191.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
190.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
189.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
189.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
188.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
187.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
185.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
184.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
184.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
183.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
178.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
178.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
176.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
174.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
172.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
171.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
167.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
167.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
167.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
165.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
165.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
165.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
164.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
163.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
163.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
163.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
162.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
160.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
159.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
159.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
158.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
157.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
157.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
157.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
156.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
154.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
153.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
152.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
150.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
149.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
148.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
148.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
148.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
147.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
146.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
146.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
145.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
145.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
143.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
143.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
142.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
141.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
140.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
139.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
139.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
138.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
137.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
136.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
136.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
136.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
135.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
134.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
133.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
132.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
132.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
131.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
131.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
130.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
130.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
129.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
129.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
128.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
128.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
126.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
125.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
124.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
123.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
123.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
120.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
120.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
119.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
119.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
119.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
117.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
117.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
117.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
117.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
115.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
115.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
115.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
115.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
114.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
113.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
113.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
113.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
113.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
111.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
111.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
110.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
109.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
109.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
109.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
109.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
109.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
109.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
108.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
107.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
107.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
107.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
106.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
106.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
105.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
105.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
104.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
104.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
103.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
103.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
102.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
101.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
101.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
101.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
101.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
99.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
99.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
99.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
98.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
97.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
97.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
96.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
96.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
95.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
95.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
95.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
94.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
94.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
93.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
92.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
92.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
92.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
92.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
92.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
90.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
90.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
89.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
89.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
88.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
88.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
88.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
87.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
87.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
86.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
85.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
85.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
84.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
84.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
84.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
83.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
81.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
81.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
81.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
80.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
79.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
78.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
78.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
77.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
77.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
76.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
76.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
75.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
75.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
74.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
73.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
72.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
71.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
70.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
68.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
66.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
64.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
62.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
59.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
58.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
58.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
54.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
53.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
52.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
48.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
43.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
40.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
39.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
38.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
37.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
33.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
31.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
30.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
29.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
27.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
26.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
26.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
25.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
25.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
24.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
24.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
22.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
22.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
21.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
21.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
21.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
18.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
18.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
18.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
17.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
12.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
11.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
11.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
10.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
10.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
6.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
6.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
ID1 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
170.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
627.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
596.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
502.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
443.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
436.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
386.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
379.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
369.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
359.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
342.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
331.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
320.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
299.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
287.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
285.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
284.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
274.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
269.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
268.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
261.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
246.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
239.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
237.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
232.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
229.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
226.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
224.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
222.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
208.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
207.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
180.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
179.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
174.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
169.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
158.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
155.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
155.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
151.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
148.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
146.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
141.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
141.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
137.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
135.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
131.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
131.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
129.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
129.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
122.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
120.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
118.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
117.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
116.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
115.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
109.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
104.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
98.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
98.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
98.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
95.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
92.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
90.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
81.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
76.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
73.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
65.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
61.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
60.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
48.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
27.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
26.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
23.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
21.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ID1 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
172.3
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
776.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
736.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
716.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
518.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
442.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
412.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
411.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
409.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
398.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
379.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
377.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
359.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
356.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
347.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
342.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
338.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
335.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
331.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
329.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
326.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
324.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
322.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
319.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
317.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
315.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
315.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
313.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
298.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
297.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
295.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
294.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
289.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
287.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
283.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
276.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
271.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
268.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
268.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
266.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
265.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
264.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
262.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
261.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
256.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
255.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
253.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
251.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
251.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
244.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
241.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
240.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
238.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
233.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
233.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
233.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
232.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
228.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
227.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
223.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
220.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
219.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
219.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
216.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
215.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
214.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
213.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
211.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
208.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
208.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
203.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
203.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
203.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
200.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
193.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
192.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
192.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
189.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
188.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
185.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
184.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
180.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
179.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
176.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
175.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
175.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
174.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
173.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
170.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
169.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
169.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
168.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
168.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
168.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
162.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
160.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
160.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
155.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
154.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
153.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
150.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
147.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
145.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
144.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
143.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
143.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
143.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
140.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
139.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
139.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
138.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
138.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
137.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
135.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
134.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
131.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
131.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
131.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
129.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
127.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
124.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
122.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
121.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
120.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
118.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
117.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
116.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
113.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
112.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
112.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
108.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
108.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
107.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
106.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
106.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
105.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
105.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
103.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
101.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
100.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
98.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
97.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
96.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
95.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
94.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
94.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
94.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
91.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
90.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
90.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
88.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
85.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
85.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
84.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
82.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
81.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
81.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
80.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
77.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
75.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
75.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
73.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
70.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
66.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
64.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
47.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
39.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
31.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
27.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
27.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
23.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
17.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
15.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
