We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SUCLG1 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
125.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
279.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
262.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
242.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
234.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
234.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
225.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
216.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
214.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
211.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
206.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
204.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
201.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
201.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
198.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
192.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
186.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
185.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
184.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
181.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
178.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
178.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
177.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
177.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
175.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
174.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
174.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
174.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
174.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
173.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
173.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
173.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
173.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
173.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
172.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
170.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
170.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
169.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
169.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
169.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
168.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
168.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
166.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
164.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
163.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
162.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
161.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
159.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
158.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
158.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
158.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
157.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
156.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
155.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
154.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
153.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
153.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
152.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
150.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
150.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
149.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
147.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
147.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
147.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
146.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
146.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
146.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
146.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
145.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
144.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
143.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
143.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
142.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
142.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
142.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
141.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
141.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
140.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
139.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
139.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
139.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
138.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
138.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
138.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
138.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
138.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
137.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
137.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
137.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
135.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
134.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
134.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
133.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
133.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
133.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
133.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
132.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
132.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
131.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
131.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
131.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
130.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
130.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
129.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
129.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
128.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
128.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
128.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
128.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
128.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
127.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
127.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
127.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
126.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
126.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
126.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
125.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
125.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
125.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
124.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
124.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
123.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
123.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
121.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
121.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
121.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
120.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
120.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
119.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
119.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
118.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
118.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
118.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
117.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
117.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
117.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
117.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
117.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
115.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
115.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
115.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
114.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
114.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
114.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
114.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
114.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
113.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
113.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
113.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
112.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
112.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
112.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
111.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
111.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
111.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
110.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
109.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
109.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
109.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
109.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
108.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
108.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
108.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
107.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
107.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
107.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
106.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
106.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
106.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
105.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
105.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
104.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
103.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
103.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
102.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
102.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
102.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
102.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
101.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
101.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
100.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
100.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
100.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
100.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
99.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
99.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
98.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
98.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
98.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
98.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
98.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
97.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
97.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
96.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
96.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
95.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
94.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
91.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
90.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
90.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
89.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
89.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
89.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
88.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
87.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
87.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
87.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
87.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
87.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
86.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
86.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
86.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
85.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
85.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
85.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
85.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
85.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
84.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
84.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
83.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
83.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
82.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
80.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
80.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
79.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
78.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
78.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
76.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
76.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
75.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
75.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
74.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
73.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
73.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
72.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
65.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
65.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
63.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
60.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
58.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
57.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
53.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 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.
SUCLG1 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
71.2
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
158.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
148.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
145.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
141.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
139.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
130.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
130.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
129.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
125.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
121.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
118.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
118.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
115.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
113.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
112.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
112.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
111.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
111.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
110.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
110.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
110.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
109.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
108.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
108.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
107.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
106.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
105.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
105.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
104.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
103.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
103.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
102.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
102.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
102.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
101.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
101.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
101.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
101.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
100.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
100.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
100.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
100.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
100.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
99.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
99.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
98.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
98.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
98.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
97.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
97.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
97.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
96.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
96.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
95.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
95.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
95.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
95.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
94.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
94.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
94.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
94.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
93.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
93.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
93.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
92.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
92.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
91.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
91.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
91.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
91.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
91.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
91.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
90.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
90.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
90.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
90.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
89.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
89.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
89.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
88.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
88.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
88.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
88.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
87.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
87.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
87.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
87.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
86.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
86.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
86.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
86.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
86.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
85.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
85.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
85.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
84.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
83.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
82.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
82.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
82.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
82.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
81.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
81.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
81.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
81.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
80.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
79.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
79.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
79.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
79.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
78.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
78.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
78.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
78.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
78.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
77.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
77.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
76.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
76.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
75.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
75.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
75.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
75.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
74.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
74.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
74.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
73.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
73.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
72.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
72.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
72.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
72.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
72.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
72.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
71.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
71.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
71.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
71.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
71.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
71.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
70.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
70.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
70.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
70.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
70.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
69.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
69.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
69.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
68.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
68.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
68.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
68.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
68.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
67.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
66.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
66.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
66.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
66.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
65.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
65.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
65.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
64.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
64.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
64.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
63.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
63.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
62.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
62.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
62.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
62.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
62.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
61.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
61.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
61.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
61.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
61.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
60.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
60.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
59.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
59.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
59.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
59.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
58.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
58.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
57.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
57.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
56.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
56.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
56.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
55.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
53.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
52.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
52.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
51.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
50.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
46.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
SUCLG1 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
125.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
265.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
262.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
238.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
229.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
220.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
185.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
181.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
180.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
175.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
173.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
171.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
171.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
170.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
170.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
168.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
165.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
163.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
163.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
160.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
158.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
156.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
153.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
148.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
145.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
145.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
143.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
142.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
142.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
139.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
137.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
137.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
136.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
136.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
136.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
134.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
126.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
126.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
125.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
124.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
123.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
123.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
123.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
123.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
123.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
121.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
121.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
119.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
119.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
117.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
116.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
115.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
114.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
111.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
109.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
106.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
103.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
103.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
103.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
102.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
101.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
101.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
100.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
99.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
96.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
96.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
94.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
91.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
91.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
91.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
90.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
89.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
89.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
86.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
84.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
83.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
81.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
78.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
61.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
56.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
47.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SUCLG1 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
61.5
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
157.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
122.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
118.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
118.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
110.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
110.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
101.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
101.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
100.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
97.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
88.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
88.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
88.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
87.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
86.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
86.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
85.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
84.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
84.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
83.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
83.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
82.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
81.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
81.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
81.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
80.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
80.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
80.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
79.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
77.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
77.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
76.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
76.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
75.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
71.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
71.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
70.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
70.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
69.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
69.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
68.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
67.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
67.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
66.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
66.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
65.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
63.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
63.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
61.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
59.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
59.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
59.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
58.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
55.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
55.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
54.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
52.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
52.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
51.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
49.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
48.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
47.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
46.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
28.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
8af80ae9-2088-4124-91fb-8d6c17_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
