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.
SPP1 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
153.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2101.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1767.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1678.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1172.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1098.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1016.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
991.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
799.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
760.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
743.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
679.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
651.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
588.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
580.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
559.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
539.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
469.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
464.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
446.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
440.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
434.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
431.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
420.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
409.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
396.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
389.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
381.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
374.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
365.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
340.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
328.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
327.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
322.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
320.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
316.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
316.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
315.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
315.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
309.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
306.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
300.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
287.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
285.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
283.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
278.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
274.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
270.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
265.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
264.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
260.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
252.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
245.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
242.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
241.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
231.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
227.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
227.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
212.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
211.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
208.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
200.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
197.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
196.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
195.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
190.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
180.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
176.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
176.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
174.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
162.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
159.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
158.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
149.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
148.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
148.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
144.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
139.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
139.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
133.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
132.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
127.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
126.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
124.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
119.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
118.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
112.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
111.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
106.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
104.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
100.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
99.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
97.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
94.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
89.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
88.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
87.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
86.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
84.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
82.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
81.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
80.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
74.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
70.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
70.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
69.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
69.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
68.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
67.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
66.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
61.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
60.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
54.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
51.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
50.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
48.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
46.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
44.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
41.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
38.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
35.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
32.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
31.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
19.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
9.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
4.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
0.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 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.
SPP1 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
125.9
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1436.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1300.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1283.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1164.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1100.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
981.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
856.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
838.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
831.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
826.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
790.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
679.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
678.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
617.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
589.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
555.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
554.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
545.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
534.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
532.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
520.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
506.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
497.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
481.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
480.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
479.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
450.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
449.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
430.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
420.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
398.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
388.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
368.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
366.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
366.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
365.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
363.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
346.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
345.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
339.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
335.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
324.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
319.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
319.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
317.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
315.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
315.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
314.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
311.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
308.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
304.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
303.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
301.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
298.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
293.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
291.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
286.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
282.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
279.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
273.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
272.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
266.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
264.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
262.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
261.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
261.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
259.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
257.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
256.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
253.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
252.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
247.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
245.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
245.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
235.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
232.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
228.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
225.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
224.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
223.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
221.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
221.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
221.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
214.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
212.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
204.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
203.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
203.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
201.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
198.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
197.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
193.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
192.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
187.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
186.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
186.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
184.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
184.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
183.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
182.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
181.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
179.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
179.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
176.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
176.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
174.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
172.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
169.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
166.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
165.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
165.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
164.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
164.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
163.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
160.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
160.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
159.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
159.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
157.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
156.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
152.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
150.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
150.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
147.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
146.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
145.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
144.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
142.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
142.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
139.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
133.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
133.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
133.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
133.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
132.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
131.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
131.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
130.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
130.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
130.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
128.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
128.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
126.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
125.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
125.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
124.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
124.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
123.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
120.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
120.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
119.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
118.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
118.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
117.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
113.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
112.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
111.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
110.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
108.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
108.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
107.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
106.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
106.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
106.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
102.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
101.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
101.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
97.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
96.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
94.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
94.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
93.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
93.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
92.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
91.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
91.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
90.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
90.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
89.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
89.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
89.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
88.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
84.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
83.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
83.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
82.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
80.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
80.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
79.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
78.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
78.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
78.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
76.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
75.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
74.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
74.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
72.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
69.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
67.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
66.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
66.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
66.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
64.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
59.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
58.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
57.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
49.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
48.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
36.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
34.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
33.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
32.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
29.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
28.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
27.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
27.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
27.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
26.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
24.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
23.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
22.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
21.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
20.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
20.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
19.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
19.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
18.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
18.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
18.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
17.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
17.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
16.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
16.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
16.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
16.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
16.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
16.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
15.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
15.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
15.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
15.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
15.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
15.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
15.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
14.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
14.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
14.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
14.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
14.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
14.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
13.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
13.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
13.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
13.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
13.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
13.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
13.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
12.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
12.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
12.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
11.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
11.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
10.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
10.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
10.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
10.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
10.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
10.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
10.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
9.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
9.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
9.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
8.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
8.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
8.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
8.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
8.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
8.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
7.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
7.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
7.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
7.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
6.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
6.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
6.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
6.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
6.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
5.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
5.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
5.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
5.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
5.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
5.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
4.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
4.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
4.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
4.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
4.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
4.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
4.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
4.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
4.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
4.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
3.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
3.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
3.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
3.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
3.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
3.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
3.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
3.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
3.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
3.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
3.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
3.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
2.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
2.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
2.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
2.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
2.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
0.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
0.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
0.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 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.
SPP1 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
157.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2024.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1426.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1347.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
997.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
766.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
699.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
601.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
576.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
545.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
392.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
311.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
291.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
255.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
244.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
228.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
209.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
165.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
144.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
141.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
133.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
124.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
120.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
103.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
98.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
92.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
92.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
83.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
82.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
80.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
63.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
63.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
47.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
42.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
38.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
13.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
6.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
4.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
4.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 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.
SPP1 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
78.2
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
4364.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
908.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
664.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
533.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
482.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
450.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
444.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
310.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
291.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
255.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
242.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
234.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
232.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
200.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
188.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
176.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
170.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
166.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
160.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
157.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
156.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
155.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
147.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
137.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
132.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
129.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
117.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
105.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
102.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
101.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
101.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
91.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
89.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
89.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
83.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
83.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
77.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
72.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
67.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
63.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
60.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
58.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
58.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
55.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
54.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
49.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
30.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
28.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
28.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
27.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
25.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
25.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
24.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
24.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
22.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
22.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
20.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
19.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
19.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
19.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
19.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
19.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
18.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
18.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
17.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
17.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
15.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
15.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
15.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
14.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
14.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
14.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
13.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
13.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
12.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
11.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
11.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
11.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
11.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
11.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
11.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
10.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
10.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
10.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
9.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
9.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
9.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
9.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
8.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
8.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
8.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
8.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
7.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
7.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
6.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
6.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
6.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
6.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
6.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
6.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
6.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
6.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
6.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
5.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
5.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
5.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
5.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
5.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
5.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
5.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
4.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
4.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
4.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
4.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
4.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
4.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
4.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
4.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
4.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
4.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
4.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
4.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
4.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
3.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
3.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
3.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
3.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
3.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
3.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
3.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
3.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
2.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
2.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
2.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
2.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
2.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
2.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
2.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
0.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
0.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
0.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
0.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
