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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAL2 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
133.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
650.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
505.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
373.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
354.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
334.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
313.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
302.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
293.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
290.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
279.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
270.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
255.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
250.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
244.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
243.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
241.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
236.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
236.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
234.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
233.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
233.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
228.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
221.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
218.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
211.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
211.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
210.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
210.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
209.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
208.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
205.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
204.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
204.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
202.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
201.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
199.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
199.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
198.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
198.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
197.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
194.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
193.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
192.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
187.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
187.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
186.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
186.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
186.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
181.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
179.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
177.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
177.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
176.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
175.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
173.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
170.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
170.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
169.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
169.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
168.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
168.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
167.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
166.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
166.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
166.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
166.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
164.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
163.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
163.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
162.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
161.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
161.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
159.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
157.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
156.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
156.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
155.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
154.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
153.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
151.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
150.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
149.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
147.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
147.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
147.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
147.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
144.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
143.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
143.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
142.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
141.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
141.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
141.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
140.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
139.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
137.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
137.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
136.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
135.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
135.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
134.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
134.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
131.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
130.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
128.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
128.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
128.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
126.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
126.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
126.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
125.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
125.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
125.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
123.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
123.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
122.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
122.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
121.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
121.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
118.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
116.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
116.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
116.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
116.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
116.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
115.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
113.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
113.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
112.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
112.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
110.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
110.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
109.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
109.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
108.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
108.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
108.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
108.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
106.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
106.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
106.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
105.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
105.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
105.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
105.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
105.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
105.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
105.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
105.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
104.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
103.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
103.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
102.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
102.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
101.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
101.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
101.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
101.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
100.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
97.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
96.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
96.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
96.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
95.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
94.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
94.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
93.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
93.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
92.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
92.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
91.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
91.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
91.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
90.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
90.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
89.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
89.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
88.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
87.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
86.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
85.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
84.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
84.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
84.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
84.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
83.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
82.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
82.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
81.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
81.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
80.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
79.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
78.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
78.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
78.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
78.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
78.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
77.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
76.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
74.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
73.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
72.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
72.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
72.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
71.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
71.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
70.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
68.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
67.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
66.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
66.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
65.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
64.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
64.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
62.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
59.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
58.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
57.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
56.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
56.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
54.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
53.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
46.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 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.
MAL2 is potential prognostic, high expression is unfavorable 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
189.2
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
978.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
866.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
719.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
555.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
519.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
506.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
491.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
475.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
460.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
438.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
413.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
411.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
407.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
385.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
383.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
382.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
374.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
374.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
371.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
371.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
364.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
363.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
361.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
360.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
356.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
355.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
353.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
346.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
336.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
334.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
333.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
333.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
327.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
325.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
325.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
324.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
317.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
313.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
312.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
309.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
309.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
306.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
303.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
303.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
301.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
298.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
297.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
297.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
293.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
293.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
291.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
291.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
287.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
286.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
284.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
282.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
281.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
280.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
280.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
279.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
277.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
274.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
273.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
272.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
271.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
270.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
269.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
268.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
267.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
267.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
259.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
259.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
258.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
258.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
257.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
257.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
255.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
254.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
253.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
252.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
251.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
251.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
250.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
248.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
248.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
247.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
247.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
246.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
245.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
244.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
242.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
242.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
242.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
241.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
240.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
239.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
239.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
238.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
237.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
237.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
236.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
233.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
233.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
232.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
232.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
231.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
230.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
226.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
225.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
224.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
223.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
223.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
223.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
223.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
223.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
222.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
221.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
221.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
220.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
220.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
219.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
218.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
217.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
217.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
217.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
216.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
216.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
216.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
214.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
213.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
213.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
213.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
213.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
212.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
212.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
212.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
212.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
211.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
211.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
211.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
211.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
210.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
209.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
208.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
208.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
208.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
208.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
207.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
207.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
206.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
206.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
206.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
205.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
203.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
203.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
203.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
202.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
202.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
200.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
200.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
200.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
199.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
198.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
197.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
197.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
197.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
197.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
196.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
196.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
195.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
195.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
194.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
194.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
194.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
193.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
193.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
192.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
192.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
191.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
191.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
191.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
191.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
191.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
190.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
190.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
190.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
189.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
189.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
189.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
189.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
189.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
188.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
188.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
187.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
187.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
187.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
187.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
186.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
185.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
185.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
185.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
183.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
182.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
182.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
182.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
182.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
182.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
180.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
180.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
180.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
180.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
180.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
180.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
179.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
179.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
178.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
178.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
178.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
178.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
178.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
178.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
178.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
178.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
177.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
177.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
177.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
177.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
177.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
177.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
176.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
176.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
176.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
176.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
176.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
176.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
174.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
174.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
174.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
174.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
173.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
173.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
173.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
172.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
172.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
172.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
171.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
171.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
170.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
170.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
170.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
170.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
169.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
169.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
169.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
168.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
167.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
167.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
167.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
167.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
166.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
166.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
165.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
165.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
165.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
164.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
164.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
164.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
163.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
163.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
163.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
163.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
162.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
161.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
161.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
160.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
160.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
160.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
160.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
160.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
160.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
159.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
158.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
158.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
158.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
157.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
157.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
156.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
156.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
156.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
156.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
156.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
156.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
156.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
156.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
156.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
155.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
155.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
155.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
155.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
155.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
154.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
154.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
153.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
152.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
152.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
151.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
151.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
151.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
150.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
150.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
149.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
149.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
148.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
146.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
146.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
145.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
145.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
145.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
145.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
145.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
145.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
145.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
144.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
144.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
144.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
143.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
143.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
142.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
142.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
142.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
141.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
141.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
141.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
141.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
140.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
140.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
139.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
139.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
139.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
139.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
139.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
138.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
137.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
137.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
137.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
136.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
135.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
135.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
135.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
135.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
135.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
135.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
134.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
134.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
133.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
133.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
132.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
132.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
132.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
131.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
131.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
131.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
130.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
130.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
130.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
130.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
130.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
129.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
129.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
128.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
127.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
127.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
126.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
126.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
126.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
126.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
125.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
125.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
125.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
125.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
124.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
124.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
124.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
124.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
124.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
124.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
123.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
123.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
121.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
120.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
120.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
120.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
120.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
119.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
119.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
119.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
119.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
119.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
119.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
119.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
119.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
118.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
118.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
118.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
118.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
118.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
117.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
117.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
117.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
117.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
116.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
116.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
116.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
116.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
115.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
115.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
115.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
114.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
114.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
114.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
113.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
113.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
113.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
112.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
112.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
112.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
112.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
112.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
111.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
111.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
111.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
109.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
109.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
108.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
107.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
107.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
107.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
106.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
106.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
105.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
105.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
104.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
102.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
101.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
101.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
101.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
100.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
100.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
100.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
100.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
99.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
99.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
98.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
98.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
93.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
91.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
91.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
91.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
90.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
89.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
84.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
82.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
77.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
77.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
75.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
74.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
67.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
66.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
63.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
63.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
46.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.9
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.
MAL2 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
139.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
379.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
341.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
340.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
256.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
255.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
238.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
233.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
232.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
232.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
213.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
211.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
209.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
207.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
205.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
199.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
198.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
182.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
178.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
175.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
169.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
168.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
168.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
164.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
163.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
163.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
161.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
161.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
160.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
160.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
157.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
156.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
153.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
149.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
144.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
141.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
140.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
140.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
138.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
138.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
136.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
135.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
125.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
122.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
121.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
121.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
121.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
121.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
118.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
117.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
116.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
115.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
114.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
112.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
109.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
109.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
108.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
107.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
105.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
103.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
101.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
100.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
98.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
98.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
96.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
95.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
94.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
94.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
93.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
85.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
83.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
83.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
83.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
76.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
76.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
76.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
75.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
74.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
70.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
67.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
66.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
56.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
MAL2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
156.3
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
512.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
479.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
463.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
394.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
389.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
334.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
323.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
319.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
307.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
305.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
302.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
297.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
287.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
286.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
284.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
283.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
282.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
263.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
250.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
249.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
246.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
246.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
240.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
240.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
238.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
232.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
229.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
228.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
225.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
224.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
224.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
220.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
217.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
215.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
215.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
213.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
212.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
212.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
208.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
208.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
208.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
205.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
204.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
203.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
201.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
201.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
198.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
195.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
195.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
192.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
189.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
188.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
182.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
180.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
179.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
178.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
178.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
178.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
175.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
171.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
171.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
169.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
169.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
166.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
166.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
166.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
165.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
164.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
163.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
161.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
161.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
161.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
160.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
159.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
159.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
158.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
158.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
158.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
158.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
157.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
157.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
156.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
153.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
153.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
151.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
150.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
150.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
150.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
149.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
149.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
148.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
148.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
148.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
147.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
147.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
147.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
147.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
146.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
145.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
144.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
144.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
142.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
141.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
141.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
140.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
140.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
140.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
139.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
139.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
138.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
138.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
137.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
137.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
136.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
135.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
135.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
134.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
132.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
132.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
131.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
131.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
131.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
127.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
127.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
127.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
127.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
127.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
125.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
122.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
122.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
122.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
122.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
121.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
121.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
120.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
119.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
117.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
116.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
116.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
116.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
115.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
115.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
114.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
112.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
112.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
112.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
111.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
110.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
110.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
109.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
109.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
109.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
108.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
106.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
106.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
105.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
104.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
104.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
103.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
103.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
103.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
102.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
101.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
100.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
99.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
98.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
98.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
98.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
98.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
97.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
97.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
97.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
95.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
94.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
88.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
85.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
85.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
85.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
84.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
82.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
80.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
79.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
77.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
77.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
77.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
73.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
72.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
71.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
68.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
68.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
65.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
58.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
47.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
