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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF2S3 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
123.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
399.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
350.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
308.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
299.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
280.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
265.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
248.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
247.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
242.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
235.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
229.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
228.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
223.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
221.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
213.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
210.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
209.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
204.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
203.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
201.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
200.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
195.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
195.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
192.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
192.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
191.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
191.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
187.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
187.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
187.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
185.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
184.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
183.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
183.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
176.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
176.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
175.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
174.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
173.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
173.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
173.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
172.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
169.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
169.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
166.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
165.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
164.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
162.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
162.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
161.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
158.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
158.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
157.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
156.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
155.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
153.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
152.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
150.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
149.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
148.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
148.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
147.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
146.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
144.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
144.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
143.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
142.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
142.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
140.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
140.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
139.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
138.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
138.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
137.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
136.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
135.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
135.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
135.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
134.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
133.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
131.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
131.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
130.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
130.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
129.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
129.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
129.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
128.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
128.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
127.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
126.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
126.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
125.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
125.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
124.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
124.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
123.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
123.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
123.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
123.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
122.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
122.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
122.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
122.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
121.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
121.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
121.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
120.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
120.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
120.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
120.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
120.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
119.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
118.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
118.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
117.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
117.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
117.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
115.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
114.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
114.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
114.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
114.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
114.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
114.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
113.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
112.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
112.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
112.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
111.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
111.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
110.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
109.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
109.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
109.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
109.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
108.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
108.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
106.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
106.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
106.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
105.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
105.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
104.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
104.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
102.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
102.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
102.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
101.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
101.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
101.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
101.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
100.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
100.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
100.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
100.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
100.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
100.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
99.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
99.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
99.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
99.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
98.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
97.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
96.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
95.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
95.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
95.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
94.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
94.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
93.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
93.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
92.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
92.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
92.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
91.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
91.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
91.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
90.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
90.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
89.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
89.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
89.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
88.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
88.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
88.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
88.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
87.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
87.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
87.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
87.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
86.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
86.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
86.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
86.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
85.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
85.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
85.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
85.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
82.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
80.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
79.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
79.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
78.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
77.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
76.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
76.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
76.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
76.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
75.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
74.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
74.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
73.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
73.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
73.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
72.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
71.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
70.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
70.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
69.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
69.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
68.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
68.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
67.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
66.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
65.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
63.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
62.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
61.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
60.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
60.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
57.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
49.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
46.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
EIF2S3 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
159.0
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
446.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
399.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
392.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
384.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
360.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
343.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
326.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
325.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
325.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
317.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
315.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
309.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
306.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
303.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
298.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
296.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
296.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
294.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
291.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
284.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
283.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
279.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
279.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
271.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
267.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
267.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
265.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
264.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
258.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
257.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
256.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
254.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
254.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
253.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
252.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
252.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
252.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
252.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
252.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
247.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
246.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
243.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
243.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
241.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
241.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
240.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
240.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
239.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
239.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
238.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
238.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
238.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
236.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
234.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
233.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
232.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
231.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
230.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
230.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
230.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
230.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
228.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
228.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
224.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
224.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
224.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
220.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
219.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
218.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
217.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
217.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
217.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
216.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
215.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
215.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
215.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
214.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
214.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
213.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
212.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
212.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
211.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
210.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
210.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
210.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
208.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
206.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
206.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
206.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
206.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
205.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
205.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
203.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
201.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
201.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
201.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
201.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
199.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
198.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
198.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
198.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
197.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
197.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
196.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
195.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
195.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
195.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
194.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
193.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
192.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
191.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
191.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
191.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
190.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
189.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
189.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
189.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
188.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
188.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
187.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
187.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
186.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
186.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
185.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
185.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
184.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
183.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
182.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
182.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
181.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
180.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
180.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
180.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
180.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
179.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
179.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
178.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
178.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
177.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
177.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
176.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
176.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
176.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
176.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
176.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
176.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
176.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
176.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
175.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
175.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
175.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
174.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
173.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
173.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
173.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
173.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
173.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
172.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
172.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
172.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
171.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
171.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
170.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
170.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
169.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
169.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
169.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
169.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
169.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
168.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
168.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
168.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
167.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
167.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
167.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
167.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
166.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
166.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
166.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
166.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
165.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
165.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
165.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
164.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
164.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
164.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
164.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
164.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
163.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
163.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
163.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
162.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
162.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
162.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
162.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
161.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
161.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
161.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
160.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
160.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
160.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
160.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
160.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
160.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
160.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
160.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
159.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
158.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
158.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
157.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
156.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
156.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
156.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
155.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
155.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
155.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
154.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
153.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
153.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
153.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
153.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
152.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
152.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
151.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
151.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
151.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
150.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
150.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
150.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
150.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
150.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
150.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
149.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
149.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
149.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
149.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
149.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
149.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
149.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
148.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
148.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
148.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
146.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
146.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
146.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
146.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
146.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
145.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
144.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
144.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
144.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
144.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
144.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
144.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
143.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
143.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
143.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
143.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
143.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
142.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
141.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
141.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
141.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
141.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
141.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
141.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
140.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
140.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
140.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
140.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
139.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
139.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
139.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
139.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
139.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
138.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
138.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
137.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
137.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
137.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
137.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
137.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
137.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
137.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
136.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
136.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
136.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
135.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
135.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
135.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
134.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
133.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
133.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
133.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
132.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
132.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
132.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
131.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
131.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
131.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
131.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
130.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
130.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
130.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
130.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
129.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
129.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
129.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
129.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
129.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
129.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
128.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
128.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
128.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
127.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
127.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
127.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
127.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
127.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
126.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
126.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
126.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
126.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
126.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
126.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
126.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
126.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
125.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
125.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
125.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
125.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
125.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
125.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
124.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
124.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
124.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
124.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
123.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
123.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
123.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
123.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
123.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
123.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
123.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
123.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
123.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
123.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
122.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
121.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
121.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
121.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
121.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
121.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
121.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
121.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
120.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
120.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
120.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
119.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
119.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
119.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
118.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
118.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
118.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
118.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
118.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
118.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
118.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
117.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
117.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
117.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
117.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
117.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
117.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
116.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
116.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
116.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
115.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
115.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
114.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
114.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
113.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
113.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
113.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
112.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
112.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
112.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
112.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
112.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
112.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
111.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
111.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
111.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
111.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
111.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
110.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
110.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
109.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
108.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
108.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
108.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
107.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
107.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
107.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
106.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
106.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
106.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
106.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
105.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
105.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
105.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
105.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
104.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
104.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
104.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
103.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
103.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
103.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
103.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
101.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
101.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
100.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
99.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
99.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
99.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
98.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
98.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
97.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
97.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
97.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
96.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
96.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
96.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
95.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
95.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
95.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
94.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
94.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
93.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
93.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
92.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
92.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
92.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
92.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
91.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
90.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
90.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
90.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
90.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
90.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
89.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
88.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
88.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
88.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
87.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
87.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
86.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
85.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
84.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
83.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
81.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
80.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
80.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
80.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
78.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
77.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
77.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
71.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
71.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF2S3 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
134.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
390.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
285.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
261.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
258.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
253.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
250.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
248.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
230.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
227.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
221.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
216.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
199.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
192.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
191.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
186.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
181.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
179.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
173.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
168.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
168.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
163.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
161.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
152.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
149.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
149.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
147.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
144.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
142.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
141.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
140.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
139.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
139.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
135.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
135.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
132.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
132.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
130.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
130.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
128.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
127.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
125.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
124.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
123.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
123.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
123.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
117.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
116.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
115.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
115.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
112.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
112.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
112.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
111.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
110.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
108.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
108.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
105.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
103.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
101.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
100.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
99.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
96.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
96.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
95.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
93.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
93.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
91.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
88.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
88.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
87.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
86.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
85.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
85.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
84.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
82.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
81.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
79.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
76.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
76.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
76.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
71.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
70.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
68.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
63.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
41.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF2S3 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
152.0
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
380.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
377.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
355.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
324.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
322.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
308.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
291.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
280.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
278.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
267.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
264.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
252.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
242.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
238.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
228.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
224.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
224.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
222.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
222.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
221.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
218.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
215.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
213.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
212.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
207.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
206.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
206.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
205.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
204.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
202.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
200.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
199.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
194.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
194.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
194.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
192.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
192.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
187.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
186.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
185.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
184.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
183.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
183.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
183.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
182.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
181.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
180.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
180.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
180.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
178.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
178.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
176.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
174.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
174.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
174.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
171.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
171.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
169.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
169.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
168.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
167.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
167.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
165.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
164.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
164.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
162.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
159.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
158.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
158.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
157.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
157.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
157.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
155.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
155.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
155.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
155.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
154.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
154.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
154.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
154.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
154.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
153.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
152.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
151.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
151.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
151.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
150.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
150.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
150.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
149.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
148.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
147.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
147.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
147.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
146.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
146.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
146.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
146.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
146.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
142.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
142.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
141.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
141.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
141.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
141.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
140.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
139.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
139.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
139.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
139.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
138.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
138.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
136.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
135.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
134.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
133.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
133.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
133.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
132.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
132.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
131.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
131.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
131.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
131.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
131.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
130.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
130.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
130.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
130.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
129.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
129.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
128.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
128.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
128.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
127.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
126.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
125.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
124.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
123.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
122.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
122.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
121.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
121.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
121.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
121.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
120.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
120.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
120.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
120.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
118.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
118.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
118.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
118.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
117.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
117.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
113.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
112.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
112.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
112.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
111.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
111.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
111.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
110.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
110.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
110.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
110.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
109.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
108.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
108.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
107.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
106.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
105.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
104.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
103.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
103.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
103.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
101.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
101.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
99.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
98.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
98.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
98.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
98.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
97.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
96.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
95.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
93.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
93.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
92.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
92.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
92.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
92.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
92.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
91.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
88.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
86.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
84.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
84.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
83.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
77.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
70.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
63.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
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Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
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
