We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
JUND 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
100.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
259.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
250.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
245.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
231.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
220.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
218.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
215.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
199.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
194.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
183.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
181.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
180.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
179.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
178.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
176.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
169.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
163.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
162.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
162.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
161.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
158.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
155.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
154.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
154.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
152.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
151.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
151.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
151.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
149.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
149.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
148.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
148.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
147.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
147.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
146.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
146.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
144.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
144.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
144.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
143.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
143.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
135.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
135.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
134.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
134.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
133.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
132.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
130.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
128.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
128.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
127.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
127.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
127.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
127.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
125.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
124.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
123.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
123.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
121.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
121.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
120.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
120.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
120.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
120.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
119.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
118.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
118.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
118.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
118.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
117.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
117.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
116.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
116.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
115.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
115.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
114.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
114.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
113.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
113.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
113.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
113.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
113.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
113.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
113.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
112.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
112.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
111.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
111.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
110.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
109.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
108.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
108.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
108.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
107.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
107.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
106.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
105.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
105.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
105.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
104.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
104.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
103.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
102.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
102.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
102.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
101.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
101.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
101.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
101.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
99.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
99.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
99.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
99.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
98.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
98.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
97.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
97.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
96.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
95.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
95.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
95.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
94.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
94.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
94.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
93.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
93.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
93.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
93.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
92.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
92.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
92.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
91.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
91.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
91.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
91.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
90.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
90.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
89.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
89.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
89.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
89.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
88.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
88.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
88.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
88.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
88.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
88.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
87.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
86.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
85.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
84.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
83.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
83.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
83.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
83.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
82.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
82.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
82.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
81.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
80.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
79.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
79.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
78.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
78.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
78.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
78.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
75.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
75.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
75.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
74.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
74.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
74.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
73.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
73.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
72.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
72.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
71.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
70.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
69.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
69.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
68.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
68.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
66.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
66.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
65.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
64.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
64.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
62.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
61.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
61.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
61.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
60.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
58.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
56.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
54.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
54.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
52.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
52.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
49.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
39.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
32.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
JUND 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
129.6
Number of samples
486
Samples
Sample
Description
TPM
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
619.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
356.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
330.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
329.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
310.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
301.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
266.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
255.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
245.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
244.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
242.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
236.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
236.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
235.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
225.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
225.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
221.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
221.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
220.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
217.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
216.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
215.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
211.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
209.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
209.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
209.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
208.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
208.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
206.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
205.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
201.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
200.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
200.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
199.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
197.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
196.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
193.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
192.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
191.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
191.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
189.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
188.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
188.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
185.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
185.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
184.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
184.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
183.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
183.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
183.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
182.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
180.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
178.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
177.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
177.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
177.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
176.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
176.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
175.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
175.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
174.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
174.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
174.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
174.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
174.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
173.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
173.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
173.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
173.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
172.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
171.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
170.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
170.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
169.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
169.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
168.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
167.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
167.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
167.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
167.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
166.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
166.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
166.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
166.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
165.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
165.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
165.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
164.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
164.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
164.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
164.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
164.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
163.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
162.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
162.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
162.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
161.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
161.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
161.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
161.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
160.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
159.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
159.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
158.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
158.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
158.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
157.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
156.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
156.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
156.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
156.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
156.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
156.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
156.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
155.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
155.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
155.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
155.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
154.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
154.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
154.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
153.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
153.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
153.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
153.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
153.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
152.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
151.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
150.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
150.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
150.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
150.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
149.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
149.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
149.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
149.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
149.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
148.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
148.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
147.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
147.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
147.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
147.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
146.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
146.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
146.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
146.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
146.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
146.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
145.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
145.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
144.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
144.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
144.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
144.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
143.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
143.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
143.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
142.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
142.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
142.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
142.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
142.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
142.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
142.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
142.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
141.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
141.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
141.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
140.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
140.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
140.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
140.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
140.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
140.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
139.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
139.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
139.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
138.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
138.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
138.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
138.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
138.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
138.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
137.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
137.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
136.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
136.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
135.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
135.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
135.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
135.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
134.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
134.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
134.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
134.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
134.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
134.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
133.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
133.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
133.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
133.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
132.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
132.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
132.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
132.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
132.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
132.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
132.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
132.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
131.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
131.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
131.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
131.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
130.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
130.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
130.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
130.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
130.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
129.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
129.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
129.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
129.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
129.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
129.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
129.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
128.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
128.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
128.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
128.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
128.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
127.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
127.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
126.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
126.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
126.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
126.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
125.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
125.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
125.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
125.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
125.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
125.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
125.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
124.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
124.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
124.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
124.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
123.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
123.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
123.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
123.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
123.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
122.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
122.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
122.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
122.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
121.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
121.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
120.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
119.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
119.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
119.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
118.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
118.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
118.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
117.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
117.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
117.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
117.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
117.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
116.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
116.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
116.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
116.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
116.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
116.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
114.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
114.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
114.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
113.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
113.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
112.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
112.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
112.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
112.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
111.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
111.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
110.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
110.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
110.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
110.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
109.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
109.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
109.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
109.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
109.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
109.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
109.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
109.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
109.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
109.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
109.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
109.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
109.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
108.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
108.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
108.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
108.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
108.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
107.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
107.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
106.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
106.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
106.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
106.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
106.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
106.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
106.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
106.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
106.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
105.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
105.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
105.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
105.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
105.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
104.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
104.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
104.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
104.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
104.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
104.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
103.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
103.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
103.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
102.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
101.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
101.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
100.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
100.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
100.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
100.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
99.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
99.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
99.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
99.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
98.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
98.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
98.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
97.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
96.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
96.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
96.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
96.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
96.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
95.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
95.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
95.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
95.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
94.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
94.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
94.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
94.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
94.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
94.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
94.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
93.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
93.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
92.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
92.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
92.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
92.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
91.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
91.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
90.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
90.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
90.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
90.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
89.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
88.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
88.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
88.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
88.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
88.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
87.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
87.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
87.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
86.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
86.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
86.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
86.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
86.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
85.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
85.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
84.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
84.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
84.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
84.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
84.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
84.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
83.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
82.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
82.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
82.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
82.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
81.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
81.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
81.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
81.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
80.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
80.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
80.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
79.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
79.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
79.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
79.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
79.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
79.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
79.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
77.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
76.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
74.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
73.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
72.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
72.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
72.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
71.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
68.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
65.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
63.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
62.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
60.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
JUND 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
89.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
197.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
196.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
174.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
170.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
161.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
155.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
154.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
149.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
141.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
140.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
134.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
132.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
128.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
127.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
125.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
121.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
119.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
118.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
114.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
111.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
110.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
110.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
108.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
107.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
105.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
105.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
104.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
101.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
96.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
94.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
93.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
90.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
87.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
84.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
84.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
83.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
83.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
81.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
80.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
80.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
80.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
80.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
79.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
78.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
76.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
75.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
75.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
74.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
73.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
73.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
72.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
72.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
71.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
71.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
70.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
69.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
64.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
62.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
60.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
59.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
59.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
58.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
56.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
51.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
50.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 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.
JUND is potential prognostic, high expression is favorable 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
119.6
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
315.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
294.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
248.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
246.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
244.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
232.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
220.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
220.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
216.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
215.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
215.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
209.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
207.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
195.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
193.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
193.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
191.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
190.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
190.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
188.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
181.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
181.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
180.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
176.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
175.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
175.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
171.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
169.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
169.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
168.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
167.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
167.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
166.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
164.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
163.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
163.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
161.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
160.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
159.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
159.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
158.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
158.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
156.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
154.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
153.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
152.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
151.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
149.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
148.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
146.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
144.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
143.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
143.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
142.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
142.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
141.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
140.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
140.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
139.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
139.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
137.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
135.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
134.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
134.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
133.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
132.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
130.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
130.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
129.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
128.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
128.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
127.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
126.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
126.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
125.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
124.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
124.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
123.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
122.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
121.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
121.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
119.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
119.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
118.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
118.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
118.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
117.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
117.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
117.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
117.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
116.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
115.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
114.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
113.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
112.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
112.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
112.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
111.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
111.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
110.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
110.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
110.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
109.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
109.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
108.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
107.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
107.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
104.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
102.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
102.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
102.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
101.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
101.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
100.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
100.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
100.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
99.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
99.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
99.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
99.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
98.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
98.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
98.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
98.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
98.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
97.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
96.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
96.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
96.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
95.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
95.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
94.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
94.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
94.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
94.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
93.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
93.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
93.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
92.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
92.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
92.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
92.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
92.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
91.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
91.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
91.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
91.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
90.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
89.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
88.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
88.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
88.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
87.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
86.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
86.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
84.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
83.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
82.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
82.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
81.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
81.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
81.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
81.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
80.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
80.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
79.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
79.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
78.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
78.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
77.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
76.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
75.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
73.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
72.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
69.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
68.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
66.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
64.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
61.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
60.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
57.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
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.
The Human Protein Atlas project is funded
