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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.
MDH1 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
133.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
279.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
273.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
266.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
256.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
252.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
215.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
212.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
209.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
207.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
202.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
200.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
200.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
199.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
198.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
196.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
194.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
186.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
185.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
184.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
184.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
182.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
181.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
181.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
181.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
178.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
178.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
178.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
177.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
176.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
175.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
172.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
172.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
171.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
170.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
170.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
169.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
167.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
167.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
167.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
164.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
164.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
164.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
164.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
163.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
163.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
163.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
163.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
162.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
162.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
161.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
159.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
159.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
159.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
159.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
159.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
158.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
157.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
157.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
157.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
156.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
155.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
154.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
152.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
151.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
151.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
151.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
150.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
149.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
149.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
149.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
146.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
146.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
146.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
145.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
145.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
144.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
144.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
144.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
144.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
143.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
143.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
143.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
143.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
142.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
142.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
141.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
141.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
140.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
140.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
140.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
139.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
139.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
139.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
139.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
138.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
138.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
137.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
137.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
136.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
136.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
136.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
135.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
135.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
134.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
133.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
133.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
133.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
132.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
132.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
132.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
132.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
132.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
131.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
131.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
131.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
131.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
131.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
131.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
131.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
130.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
130.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
129.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
128.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
127.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
127.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
127.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
127.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
127.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
127.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
127.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
127.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
126.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
126.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
125.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
125.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
125.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
124.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
123.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
123.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
123.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
123.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
122.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
122.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
121.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
121.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
121.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
120.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
120.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
120.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
120.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
119.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
119.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
119.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
118.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
118.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
118.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
118.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
117.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
117.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
117.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
117.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
116.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
116.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
115.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
115.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
115.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
115.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
114.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
114.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
113.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
113.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
113.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
113.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
112.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
112.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
112.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
112.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
111.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
111.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
110.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
110.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
109.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
109.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
108.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
108.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
108.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
107.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
106.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
106.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
106.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
105.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
104.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
104.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
104.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
104.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
104.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
104.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
104.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
103.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
103.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
103.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
103.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
103.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
103.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
103.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
102.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
102.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
102.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
102.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
102.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
102.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
102.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
102.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
102.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
102.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
101.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
101.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
101.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
100.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
99.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
99.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
99.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
97.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
97.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
97.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
97.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
95.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
95.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
95.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
95.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
93.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
93.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
92.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
91.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
91.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
91.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
90.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
90.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
89.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
89.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
88.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
88.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
88.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
88.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
86.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
84.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
84.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
81.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
76.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
75.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
MDH1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
80.8
Number of samples
486
Samples
Sample
Description
TPM
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
165.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
156.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
138.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
137.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
137.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
135.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
134.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
131.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
127.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
127.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
127.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
126.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
124.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
122.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
120.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
120.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
119.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
119.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
118.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
117.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
117.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
117.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
116.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
114.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
112.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
112.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
112.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
112.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
111.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
111.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
111.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
111.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
111.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
110.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
110.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
110.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
108.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
108.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
108.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
108.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
105.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
105.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
105.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
105.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
104.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
104.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
103.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
102.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
102.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
102.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
102.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
102.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
102.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
101.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
101.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
101.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
101.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
101.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
101.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
100.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
100.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
99.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
99.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
99.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
98.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
98.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
98.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
98.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
98.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
98.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
97.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
97.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
97.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
96.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
96.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
96.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
96.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
96.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
96.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
96.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
96.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
96.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
96.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
96.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
95.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
95.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
95.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
95.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
95.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
95.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
95.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
94.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
94.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
94.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
94.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
94.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
94.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
94.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
93.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
93.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
93.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
93.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
93.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
93.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
93.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
92.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
92.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
92.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
92.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
92.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
92.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
92.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
91.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
91.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
91.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
91.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
91.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
91.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
91.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
91.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
91.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
91.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
90.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
90.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
90.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
90.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
90.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
90.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
89.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
89.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
89.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
89.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
89.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
89.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
88.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
88.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
88.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
88.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
88.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
88.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
87.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
87.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
87.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
87.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
87.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
87.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
87.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
87.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
87.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
86.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
85.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
85.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
85.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
85.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
84.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
84.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
84.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
84.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
84.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
84.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
84.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
83.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
83.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
83.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
83.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
83.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
83.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
83.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
83.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
83.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
83.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
82.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
82.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
82.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
82.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
82.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
82.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
82.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
82.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
81.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
81.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
81.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
81.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
81.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
80.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
80.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
80.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
80.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
80.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
80.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
80.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
80.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
80.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
79.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
79.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
79.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
79.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
79.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
79.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
79.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
79.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
79.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
78.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
78.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
78.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
78.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
78.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
77.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
77.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
77.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
77.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
77.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
77.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
77.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
76.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
76.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
76.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
76.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
76.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
75.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
75.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
75.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
75.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
75.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
74.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
74.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
74.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
74.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
74.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
74.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
73.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
73.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
73.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
73.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
73.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
73.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
73.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
73.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
72.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
72.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
72.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
72.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
72.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
72.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
72.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
71.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
71.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
71.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
71.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
71.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
71.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
71.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
70.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
70.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
70.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
70.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
69.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
69.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
69.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
68.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
68.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
68.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
68.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
68.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
68.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
67.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
67.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
67.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
67.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
66.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
66.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
65.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
65.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
65.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
65.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
64.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
64.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
64.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
64.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
64.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
63.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
62.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
62.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
62.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
61.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
60.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
60.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
59.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
59.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
59.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
58.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
58.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
57.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
57.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
55.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
53.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
52.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
MDH1 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
126.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
232.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
228.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
206.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
200.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
186.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
184.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
181.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
174.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
170.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
168.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
165.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
165.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
164.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
164.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
163.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
160.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
157.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
156.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
155.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
154.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
154.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
151.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
148.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
148.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
147.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
146.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
143.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
143.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
143.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
142.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
140.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
138.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
138.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
138.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
134.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
133.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
131.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
127.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
127.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
126.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
126.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
124.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
123.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
123.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
121.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
119.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
119.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
119.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
117.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
116.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
116.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
115.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
115.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
114.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
113.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
111.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
110.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
108.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
106.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
106.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
105.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
105.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
105.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
105.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
104.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
103.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
103.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
103.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
101.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
99.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
98.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
98.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
95.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
90.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
90.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
85.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
81.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
72.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
71.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
66.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
53.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
48.1
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.
MDH1 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
67.1
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
122.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
120.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
119.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
118.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
118.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
117.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
113.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
107.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
104.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
92.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
91.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
90.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
90.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
90.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
90.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
89.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
89.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
88.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
87.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
87.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
85.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
85.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
84.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
83.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
82.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
81.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
81.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
81.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
80.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
80.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
79.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
79.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
78.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
78.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
78.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
77.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
77.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
77.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
77.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
76.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
74.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
73.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
73.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
72.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
72.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
72.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
71.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
71.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
71.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
70.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
70.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
70.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
70.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
70.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
70.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
69.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
69.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
69.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
67.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
67.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
66.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
66.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
66.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
65.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
65.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
65.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
65.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
64.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
63.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
63.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
63.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
62.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
62.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
62.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
61.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
60.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
60.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
59.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
55.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
50.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
49.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
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Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
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Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
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Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
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Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
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
