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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NPIPB5 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
39.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
213.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
147.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
130.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
125.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
124.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
111.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
105.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
104.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
102.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
100.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
96.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
94.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
94.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
94.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
91.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
91.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
90.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
85.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
84.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
83.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
83.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
75.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
75.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
74.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
71.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
70.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
69.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
67.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
66.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
62.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
61.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
58.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
56.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
54.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
52.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
52.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
49.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
49.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
48.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
47.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
47.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
44.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
42.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
41.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
40.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
38.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
34.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
34.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
32.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
28.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
28.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
27.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
26.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
25.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
25.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
22.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
21.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
21.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
21.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
20.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
18.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
17.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
17.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
16.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
15.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
14.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
13.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
12.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
11.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 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.
NPIPB5 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
170.8
Number of samples
486
Samples
Sample
Description
TPM
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
542.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
478.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
423.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
388.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
381.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
379.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
373.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
372.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
370.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
369.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
367.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
351.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
344.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
333.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
331.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
328.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
326.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
315.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
314.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
313.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
308.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
308.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
306.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
303.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
303.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
302.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
298.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
289.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
289.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
289.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
287.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
278.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
278.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
273.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
272.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
271.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
268.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
268.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
266.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
266.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
264.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
264.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
262.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
262.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
260.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
259.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
256.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
256.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
255.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
252.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
250.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
249.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
248.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
247.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
245.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
244.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
243.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
242.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
242.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
241.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
241.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
240.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
239.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
238.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
238.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
237.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
236.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
235.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
234.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
232.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
231.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
231.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
230.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
230.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
229.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
228.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
228.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
226.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
224.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
224.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
223.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
223.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
223.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
223.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
220.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
220.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
220.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
219.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
219.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
219.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
218.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
218.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
217.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
215.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
215.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
214.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
214.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
214.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
214.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
214.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
214.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
213.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
212.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
212.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
211.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
211.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
211.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
211.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
210.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
210.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
210.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
210.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
210.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
209.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
209.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
208.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
207.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
207.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
206.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
206.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
206.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
205.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
205.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
204.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
204.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
203.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
203.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
203.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
203.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
203.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
202.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
202.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
202.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
201.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
201.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
200.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
200.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
199.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
198.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
197.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
197.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
197.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
196.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
196.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
196.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
195.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
194.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
194.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
193.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
193.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
193.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
193.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
193.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
192.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
192.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
192.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
192.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
192.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
192.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
191.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
191.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
191.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
191.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
191.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
190.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
190.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
189.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
189.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
189.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
188.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
188.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
188.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
187.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
187.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
187.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
187.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
186.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
186.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
186.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
186.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
185.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
184.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
184.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
183.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
183.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
183.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
183.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
183.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
182.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
182.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
182.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
182.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
181.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
181.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
180.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
180.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
180.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
178.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
177.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
176.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
176.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
176.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
175.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
175.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
174.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
174.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
173.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
172.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
172.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
172.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
171.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
171.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
171.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
171.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
170.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
170.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
169.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
169.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
169.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
168.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
168.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
168.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
168.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
168.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
168.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
167.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
166.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
166.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
166.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
166.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
165.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
165.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
165.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
165.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
165.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
164.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
164.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
163.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
163.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
163.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
162.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
162.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
161.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
161.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
161.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
161.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
161.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
159.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
159.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
159.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
159.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
159.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
158.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
158.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
158.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
158.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
158.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
157.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
156.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
156.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
156.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
156.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
155.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
155.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
154.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
154.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
154.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
154.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
154.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
153.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
153.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
153.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
153.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
152.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
151.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
150.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
150.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
150.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
149.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
149.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
148.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
147.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
147.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
147.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
147.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
147.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
146.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
146.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
146.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
145.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
145.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
144.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
144.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
144.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
144.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
143.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
143.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
143.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
143.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
143.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
143.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
142.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
142.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
142.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
141.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
141.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
140.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
140.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
139.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
139.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
138.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
138.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
138.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
138.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
138.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
137.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
137.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
136.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
136.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
136.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
136.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
136.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
135.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
135.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
135.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
135.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
135.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
134.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
134.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
134.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
134.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
133.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
132.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
132.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
132.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
132.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
131.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
130.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
130.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
129.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
129.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
129.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
128.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
128.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
128.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
127.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
127.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
127.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
127.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
126.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
126.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
125.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
125.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
125.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
124.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
124.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
124.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
123.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
123.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
122.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
122.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
122.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
122.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
122.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
121.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
120.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
120.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
120.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
120.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
119.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
119.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
119.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
118.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
118.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
118.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
118.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
117.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
117.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
117.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
117.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
116.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
116.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
116.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
116.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
116.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
116.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
115.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
115.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
115.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
114.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
113.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
113.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
113.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
113.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
112.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
112.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
112.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
111.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
111.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
110.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
110.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
110.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
110.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
110.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
109.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
109.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
109.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
109.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
107.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
107.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
107.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
106.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
106.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
105.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
105.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
104.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
104.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
103.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
102.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
102.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
101.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
99.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
99.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
98.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
98.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
97.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
97.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
96.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
96.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
95.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
95.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
94.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
93.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
92.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
91.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
88.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
88.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
87.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
87.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
87.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
86.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
85.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
84.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
83.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
81.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
78.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
76.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
74.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
72.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
71.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
71.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
61.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NPIPB5 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
34.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
134.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
130.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
104.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
98.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
82.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
78.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
70.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
64.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
60.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
60.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
54.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
40.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
38.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
36.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
30.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
29.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
22.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
19.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
16.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
16.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 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.
NPIPB5 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
186.6
Number of samples
207
Samples
Sample
Description
TPM
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
664.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
454.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
448.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
374.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
374.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
374.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
334.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
321.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
311.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
308.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
307.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
305.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
283.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
283.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
282.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
280.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
273.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
270.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
265.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
264.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
263.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
262.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
262.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
260.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
259.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
259.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
252.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
252.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
252.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
248.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
247.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
247.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
247.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
244.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
242.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
240.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
236.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
236.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
235.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
235.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
234.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
233.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
233.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
232.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
232.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
232.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
230.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
230.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
230.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
228.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
227.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
227.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
226.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
226.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
225.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
225.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
225.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
224.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
224.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
222.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
222.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
221.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
220.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
220.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
219.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
215.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
214.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
211.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
210.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
209.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
209.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
208.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
208.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
207.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
206.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
205.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
203.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
202.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
201.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
199.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
199.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
198.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
196.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
196.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
195.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
194.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
192.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
190.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
190.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
189.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
188.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
187.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
185.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
185.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
185.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
184.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
183.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
182.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
180.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
179.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
179.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
178.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
178.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
178.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
177.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
177.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
176.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
175.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
175.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
171.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
171.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
171.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
169.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
168.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
167.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
167.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
165.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
165.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
163.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
162.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
162.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
161.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
160.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
159.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
158.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
157.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
156.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
156.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
156.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
155.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
155.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
154.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
152.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
149.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
149.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
148.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
148.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
148.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
148.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
147.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
147.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
146.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
146.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
146.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
145.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
142.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
141.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
140.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
140.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
139.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
138.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
138.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
137.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
136.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
136.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
134.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
134.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
129.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
129.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
125.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
124.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
124.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
123.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
123.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
122.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
121.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
121.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
120.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
119.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
119.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
118.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
117.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
117.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
116.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
116.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
116.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
115.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
115.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
115.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
114.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
114.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
113.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
112.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
112.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
111.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
110.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
109.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
107.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
107.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
107.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
104.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
104.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
104.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
102.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
96.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
91.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
91.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
91.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
88.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
88.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
86.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
75.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
