We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPS4Y1 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
110.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
758.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
693.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
629.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
592.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
569.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
554.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
532.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
521.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
515.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
505.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
500.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
493.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
476.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
471.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
470.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
468.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
464.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
460.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
425.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
413.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
407.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
384.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
382.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
374.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
354.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
350.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
349.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
344.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
343.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
338.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
334.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
330.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
327.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
321.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
317.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
317.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
317.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
316.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
309.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
308.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
298.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
295.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
294.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
294.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
290.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
289.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
289.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
286.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
276.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
273.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
270.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
266.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
264.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
262.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
261.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
254.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
251.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
251.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
245.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
243.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
238.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
236.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
235.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
224.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
210.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
209.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
209.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
190.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
183.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
179.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
155.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
154.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
142.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
141.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
132.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
118.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
108.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
106.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
94.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
87.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
86.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
85.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
81.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
65.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
64.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
56.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
51.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
36.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
35.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
23.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
0.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
0.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
0.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
0.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
0.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
0.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
0.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
0.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
0.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
0.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
0.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
0.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
0.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
0.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
0.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
0.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
0.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
0.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
0.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
0.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
0.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
0.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
0.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
0.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
0.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
0.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
0.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
0.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
0.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
0.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
0.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
0.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
0.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
0.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
0.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
0.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 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.
RPS4Y1 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
71.3
Number of samples
486
Samples
Sample
Description
TPM
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
943.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
876.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
782.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
525.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
486.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
452.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
443.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
413.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
407.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
384.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
383.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
382.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
364.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
352.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
342.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
338.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
324.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
320.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
319.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
314.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
311.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
308.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
301.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
296.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
290.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
278.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
276.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
275.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
273.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
270.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
261.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
257.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
254.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
252.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
249.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
248.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
246.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
246.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
244.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
233.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
229.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
228.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
227.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
226.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
223.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
221.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
221.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
220.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
219.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
217.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
215.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
215.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
210.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
209.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
209.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
207.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
206.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
204.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
193.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
192.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
189.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
187.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
185.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
183.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
183.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
181.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
181.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
179.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
178.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
177.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
177.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
177.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
176.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
172.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
169.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
169.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
168.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
167.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
166.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
166.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
165.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
165.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
162.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
162.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
161.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
160.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
159.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
156.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
155.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
153.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
151.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
149.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
149.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
149.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
148.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
148.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
148.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
147.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
147.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
147.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
147.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
146.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
146.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
146.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
145.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
144.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
143.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
143.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
143.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
142.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
142.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
141.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
141.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
138.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
137.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
134.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
132.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
132.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
132.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
132.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
131.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
130.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
130.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
130.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
130.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
127.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
123.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
118.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
116.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
115.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
115.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
112.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
112.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
110.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
107.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
106.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
103.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
103.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
102.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
101.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
99.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
98.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
98.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
96.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
94.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
92.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
91.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
90.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
87.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
81.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
74.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
61.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
52.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
29.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
27.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
27.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
26.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
26.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
26.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
25.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
24.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
23.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
19.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
18.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
17.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
17.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
16.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
15.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
14.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
14.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
13.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
13.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
12.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
12.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
9.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
9.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
8.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
7.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
7.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
5.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
0.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
0.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
0.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
0.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
0.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
0.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
0.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
0.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
0.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
0.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
0.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
0.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
0.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
0.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
0.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
0.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
0.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
0.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
0.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
0.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
0.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
0.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
0.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
0.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
0.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
0.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
0.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
0.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
0.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
0.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
0.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
0.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
0.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
0.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
0.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
0.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
0.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
0.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
0.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
0.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
0.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
0.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
0.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
0.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
0.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
0.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
0.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
0.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
0.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
0.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
0.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
0.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
0.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
0.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
0.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
0.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
0.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
0.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
0.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
0.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
0.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
0.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
0.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
0.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
0.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
0.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
0.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
0.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
0.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
0.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
0.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
0.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
0.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
0.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
0.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
0.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
0.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
0.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
0.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
0.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
0.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
0.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
0.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
0.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
0.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
0.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
0.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
0.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
0.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
0.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
0.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
0.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
0.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
0.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
0.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
0.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
0.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
0.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
0.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
0.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
0.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
0.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
0.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
0.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
0.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
0.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
0.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
0.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
0.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
0.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
0.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
0.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
0.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
0.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
0.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
0.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
0.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
0.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
0.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
0.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
0.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
0.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
0.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
0.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
0.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
0.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
0.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
0.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
0.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
0.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
0.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
0.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
0.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
0.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
0.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
0.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
0.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
0.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
0.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
0.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
0.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
0.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
0.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
0.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
0.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
0.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
0.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
0.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
0.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
0.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
0.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
0.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
0.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
0.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
0.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
0.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
0.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
0.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
0.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
0.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
0.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
0.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
0.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
0.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
0.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
0.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
0.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
0.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
0.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
0.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
0.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
0.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
0.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
0.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
0.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
0.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
0.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
0.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
0.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
0.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
0.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
0.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
0.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
0.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
0.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
0.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
0.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
0.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
0.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
0.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
0.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
0.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
0.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
0.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
0.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
0.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
0.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
0.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
0.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
0.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
0.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
0.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
0.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
0.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
0.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
0.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
0.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
0.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
0.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
0.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
0.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
0.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
0.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
0.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
0.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
0.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
0.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
0.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
0.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
0.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
0.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
0.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
0.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 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.
RPS4Y1 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
127.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
910.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
746.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
697.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
629.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
518.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
482.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
474.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
459.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
448.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
435.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
424.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
420.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
368.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
354.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
343.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
319.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
306.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
286.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
250.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
247.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
243.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
242.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
240.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
204.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
188.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
116.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
82.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
81.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
77.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
68.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
59.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
44.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
16.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
0.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
0.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
0.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
0.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
0.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
0.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
0.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
0.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
0.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
0.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
0.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 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.
RPS4Y1 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
64.3
Number of samples
207
Samples
Sample
Description
TPM
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
383.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
376.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
289.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
283.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
269.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
261.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
256.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
253.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
252.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
246.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
237.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
230.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
220.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
220.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
218.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
211.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
204.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
193.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
191.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
191.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
187.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
186.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
179.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
174.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
172.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
171.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
169.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
169.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
166.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
164.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
162.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
155.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
154.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
146.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
145.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
144.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
143.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
140.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
136.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
135.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
134.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
134.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
132.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
127.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
126.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
125.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
123.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
121.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
119.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
118.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
117.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
116.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
115.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
114.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
113.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
111.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
110.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
108.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
101.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
98.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
98.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
96.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
92.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
85.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
84.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
83.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
79.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
79.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
25.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
24.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
23.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
19.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
19.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
19.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
18.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
17.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
16.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
12.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
11.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
10.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
10.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
10.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
8.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
8.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
8.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
0.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
0.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
0.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
0.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
0.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
0.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
0.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
0.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
0.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
0.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
0.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
0.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
0.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
0.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
0.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
0.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
0.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
0.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
0.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
0.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
0.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
0.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
0.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
0.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
0.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
0.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
0.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
0.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
0.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
0.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
0.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
0.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
0.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
0.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
0.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
0.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
0.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
0.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
0.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
0.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
0.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
0.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
0.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
0.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
0.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
0.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
0.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
0.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
0.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
0.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
0.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
0.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
0.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
0.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
0.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
0.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
0.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
0.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
0.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
0.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
0.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
0.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
0.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
0.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
0.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
0.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
0.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
0.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
0.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
0.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
0.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.