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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.
REG1A 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
1133.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
65574.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28802.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26218.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
19601.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15677.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10461.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
9219.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7882.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7164.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
6704.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6563.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6201.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5414.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5279.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4492.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
3399.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
3060.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2852.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2822.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2255.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2236.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2102.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1938.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1782.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1722.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1625.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1603.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1519.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1472.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1423.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1372.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1329.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1286.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1066.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1061.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1045.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
987.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
908.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
904.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
899.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
849.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
832.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
787.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
716.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
711.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
649.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
560.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
510.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
500.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
489.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
475.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
475.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
444.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
441.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
439.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
423.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
417.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
409.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
398.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
383.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
348.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
345.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
342.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
278.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
274.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
268.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
259.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
257.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
253.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
232.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
228.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
220.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
213.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
199.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
187.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
182.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
182.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
168.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
168.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
154.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
153.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
148.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
145.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
141.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
131.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
126.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
124.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
124.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
117.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
104.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
104.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
100.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
97.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
96.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
94.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
93.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
90.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
90.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
81.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
69.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
68.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
57.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
56.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
49.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
47.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
36.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
29.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
29.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
29.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
28.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
24.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
24.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
18.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
17.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
17.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
13.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
11.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
9.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
7.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
5.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
4.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
4.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
4.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
4.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
4.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
3.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
3.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
0.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
0.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
0.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
0.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
0.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
0.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
0.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 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.
REG1A 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
1530.4
Number of samples
486
Samples
Sample
Description
TPM
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39999.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34769.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33344.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32573.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29915.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25565.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
23996.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
18222.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
13676.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
13226.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13086.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
12652.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
11889.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
10427.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9357.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
8672.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
8626.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
8525.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
8402.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
8144.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
7454.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
7408.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
7048.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
6700.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
6607.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
6568.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
6417.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
6119.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
6006.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
5477.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
5428.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
4974.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4873.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
4841.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
4643.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
4617.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
4570.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
4516.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
4449.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
4421.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
4353.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
4232.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
4017.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
3999.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
3991.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
3934.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
3783.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
3783.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3725.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
3720.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
3658.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
3644.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
3622.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
3570.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
3520.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
3434.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
3385.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
3194.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
3177.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
3101.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
3086.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
2958.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
2936.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
2899.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2873.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
2869.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
2802.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
2780.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2719.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
2691.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2619.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
2612.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
2424.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
2382.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2379.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
2376.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
2353.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
2289.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
2257.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
2250.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
2211.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
2112.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
2107.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1855.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1849.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1801.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1739.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1727.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1714.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1680.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1661.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1661.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1623.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1616.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1600.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1536.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1508.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1399.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1362.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1339.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1338.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1279.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1252.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
1246.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1240.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1238.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1208.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1203.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1175.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1174.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1133.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1093.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1082.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1080.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1063.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1061.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1060.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1059.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1046.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1044.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1033.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1021.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1015.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1009.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1005.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
968.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
964.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
954.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
952.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
946.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
943.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
942.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
922.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
916.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
916.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
900.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
894.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
886.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
880.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
838.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
837.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
835.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
825.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
822.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
764.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
758.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
735.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
734.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
726.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
716.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
710.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
709.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
693.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
681.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
673.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
671.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
664.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
648.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
648.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
639.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
634.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
627.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
622.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
616.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
616.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
595.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
592.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
588.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
579.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
573.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
547.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
545.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
544.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
541.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
530.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
530.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
529.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
525.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
516.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
513.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
513.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
496.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
487.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
477.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
474.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
470.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
462.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
461.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
452.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
451.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
444.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
442.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
442.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
427.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
423.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
422.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
419.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
418.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
410.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
407.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
396.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
396.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
389.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
386.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
381.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
376.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
375.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
374.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
374.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
373.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
362.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
360.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
357.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
357.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
356.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
348.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
336.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
333.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
329.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
314.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
312.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
309.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
304.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
303.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
297.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
293.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
277.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
277.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
268.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
266.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
258.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
257.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
255.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
248.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
245.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
244.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
241.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
238.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
238.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
236.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
235.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
232.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
227.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
225.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
221.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
221.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
220.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
218.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
215.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
214.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
212.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
208.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
207.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
205.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
202.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
189.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
189.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
187.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
186.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
184.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
183.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
181.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
180.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
180.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
179.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
177.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
177.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
175.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
172.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
171.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
169.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
162.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
162.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
160.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
156.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
155.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
153.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
152.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
146.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
146.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
143.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
142.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
141.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
140.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
140.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
135.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
134.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
134.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
133.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
127.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
125.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
125.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
124.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
124.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
123.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
121.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
120.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
118.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
108.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
107.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
103.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
102.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
102.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
101.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
101.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
98.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
97.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
96.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
95.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
93.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
91.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
91.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
90.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
86.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
83.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
83.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
76.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
74.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
72.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
70.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
69.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
69.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
68.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
66.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
60.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
56.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
39.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
28.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
26.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
25.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
23.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
22.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
21.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
21.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
21.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
21.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
20.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
17.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
17.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
17.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
16.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
16.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
15.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
15.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
14.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
14.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
14.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
14.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
13.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
13.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
13.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
11.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
11.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
11.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
11.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
11.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
10.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
10.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
10.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
9.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
9.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
9.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
9.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
9.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
9.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
9.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
9.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
8.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
8.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
8.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
8.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
8.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
7.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
7.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
7.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
7.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
6.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
6.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
6.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
6.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
6.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
6.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
5.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
5.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
5.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
5.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
5.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
5.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
4.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
4.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
4.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
4.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
4.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
3.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
3.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
3.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
3.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
3.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
3.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
2.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
2.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
2.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
2.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
2.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
2.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
2.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
0.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
0.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
0.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
0.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
0.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
0.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
0.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
0.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
0.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 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.
REG1A 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
431.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6835.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
6510.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4035.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2768.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2231.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1809.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1741.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1318.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1273.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1184.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1039.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
779.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
638.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
558.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
516.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
490.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
446.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
414.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
365.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
327.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
308.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
245.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
231.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
226.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
202.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
131.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
112.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
99.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
77.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
76.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
75.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
67.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
44.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
42.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
40.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
26.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
5.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
5.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
5.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
4.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
2.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
0.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
0.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
0.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
0.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 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.
REG1A 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
385.8
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
13122.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
4678.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
4405.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
3408.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3316.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
3127.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
2901.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
2710.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2437.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
2360.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
2318.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1521.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1489.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1336.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1277.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1254.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1199.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
1178.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1172.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1057.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
976.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
909.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
908.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
810.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
772.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
755.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
753.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
749.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
712.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
699.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
697.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
671.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
634.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
593.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
570.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
560.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
541.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
410.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
400.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
388.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
378.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
364.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
358.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
352.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
340.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
336.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
302.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
289.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
273.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
244.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
236.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
223.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
210.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
208.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
201.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
197.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
195.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
180.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
168.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
168.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
164.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
159.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
144.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
138.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
136.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
135.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
131.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
129.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
127.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
127.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
125.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
122.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
118.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
108.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
103.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
100.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
96.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
87.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
86.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
86.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
74.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
73.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
67.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
64.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
58.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
57.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
48.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
44.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
21.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
21.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
21.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
20.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
19.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
18.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
17.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
15.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
14.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
12.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
11.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
11.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
11.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
10.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
9.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
8.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
7.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
7.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
7.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
6.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
6.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
6.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
6.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
5.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
5.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
5.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
5.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
5.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
5.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
5.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
5.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
5.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
4.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
4.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
4.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
4.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
3.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
3.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
2.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
2.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
2.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
2.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
2.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
0.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
0.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
0.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
0.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
0.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
0.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
0.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
0.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
0.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
0.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
0.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
0.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
0.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
0.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
3.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
3.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
2.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
2.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
2.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
2.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
2.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
2.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
2.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
1.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
1.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
1.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.9
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.2
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-1.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-1.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-1.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-1.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-2.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-2.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-2.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-2.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-2.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-2.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-2.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-2.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-2.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-2.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-2.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-2.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-2.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-2.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-2.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-2.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-2.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-3.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-3.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-3.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
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.