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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.
SCD 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
131.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
914.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
574.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
428.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
416.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
413.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
383.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
360.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
329.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
322.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
318.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
317.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
313.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
313.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
290.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
289.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
284.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
283.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
283.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
283.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
275.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
272.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
270.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
268.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
265.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
265.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
257.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
257.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
254.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
253.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
250.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
248.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
246.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
243.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
238.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
232.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
231.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
228.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
225.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
221.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
220.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
219.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
217.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
215.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
213.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
209.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
206.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
201.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
199.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
199.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
197.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
192.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
190.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
187.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
184.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
180.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
180.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
177.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
176.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
174.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
170.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
168.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
168.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
168.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
166.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
165.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
164.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
162.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
161.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
161.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
161.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
161.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
160.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
155.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
150.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
150.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
150.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
149.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
149.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
146.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
144.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
143.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
142.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
142.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
141.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
140.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
140.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
138.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
137.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
137.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
137.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
136.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
136.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
135.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
135.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
135.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
134.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
134.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
134.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
131.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
131.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
131.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
130.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
129.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
128.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
126.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
126.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
125.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
125.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
124.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
123.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
122.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
122.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
122.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
121.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
119.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
119.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
119.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
119.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
118.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
118.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
115.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
114.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
114.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
113.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
113.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
110.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
108.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
106.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
106.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
106.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
106.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
105.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
105.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
104.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
103.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
102.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
102.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
101.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
101.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
101.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
100.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
99.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
99.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
98.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
98.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
98.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
96.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
95.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
95.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
95.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
92.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
92.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
92.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
91.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
91.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
90.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
89.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
86.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
85.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
84.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
82.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
82.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
82.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
81.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
80.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
80.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
78.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
77.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
77.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
77.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
77.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
75.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
74.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
72.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
71.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
71.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
70.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
70.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
69.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
69.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
68.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
67.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
67.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
63.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
61.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
61.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
61.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
60.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
59.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
55.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
54.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
53.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
51.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
44.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
44.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
38.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
37.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
37.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
36.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
34.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
SCD 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
172.2
Number of samples
486
Samples
Sample
Description
TPM
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
796.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
707.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
696.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
655.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
634.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
590.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
520.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
505.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
496.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
483.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
483.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
460.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
456.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
449.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
427.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
417.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
410.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
399.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
391.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
380.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
380.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
379.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
376.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
372.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
365.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
360.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
359.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
357.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
355.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
355.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
347.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
339.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
337.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
333.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
330.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
328.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
328.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
325.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
325.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
315.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
314.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
308.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
308.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
307.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
306.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
303.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
303.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
302.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
302.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
299.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
299.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
294.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
293.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
293.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
292.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
288.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
287.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
286.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
284.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
282.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
278.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
278.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
277.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
277.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
276.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
263.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
263.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
261.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
261.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
259.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
258.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
256.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
256.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
255.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
255.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
255.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
255.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
254.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
254.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
253.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
252.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
252.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
250.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
250.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
249.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
249.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
249.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
248.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
245.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
244.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
244.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
243.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
241.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
240.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
240.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
239.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
238.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
238.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
238.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
237.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
237.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
236.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
234.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
234.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
231.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
230.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
230.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
230.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
229.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
228.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
226.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
226.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
225.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
225.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
224.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
222.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
222.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
222.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
221.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
221.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
218.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
217.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
217.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
217.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
216.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
215.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
215.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
215.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
213.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
212.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
212.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
212.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
211.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
210.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
210.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
210.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
209.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
209.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
209.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
209.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
209.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
208.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
207.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
207.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
207.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
206.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
206.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
205.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
204.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
204.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
203.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
203.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
202.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
201.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
201.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
200.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
200.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
199.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
199.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
199.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
198.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
198.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
197.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
196.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
195.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
195.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
194.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
194.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
193.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
192.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
191.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
190.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
189.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
188.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
187.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
186.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
186.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
186.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
185.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
184.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
183.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
182.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
182.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
182.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
181.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
181.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
180.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
180.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
179.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
179.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
178.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
177.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
177.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
177.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
177.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
176.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
175.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
173.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
173.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
171.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
171.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
171.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
170.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
170.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
170.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
169.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
168.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
168.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
167.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
166.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
166.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
166.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
165.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
165.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
165.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
164.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
164.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
163.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
161.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
161.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
161.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
161.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
159.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
159.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
159.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
159.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
159.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
158.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
157.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
156.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
156.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
156.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
155.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
155.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
154.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
153.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
153.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
153.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
153.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
153.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
152.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
152.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
152.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
152.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
152.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
151.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
149.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
148.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
148.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
147.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
147.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
145.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
144.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
144.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
144.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
143.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
143.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
143.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
142.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
140.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
140.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
140.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
139.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
139.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
139.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
138.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
138.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
138.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
137.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
137.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
137.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
137.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
135.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
135.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
135.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
134.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
134.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
134.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
134.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
133.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
133.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
133.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
133.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
131.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
131.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
131.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
131.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
130.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
130.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
129.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
129.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
128.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
128.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
127.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
127.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
126.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
125.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
125.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
125.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
125.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
125.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
124.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
124.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
123.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
122.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
121.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
120.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
120.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
119.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
119.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
119.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
118.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
118.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
118.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
118.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
118.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
118.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
118.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
118.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
118.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
117.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
117.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
117.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
117.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
116.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
116.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
116.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
116.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
116.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
115.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
114.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
114.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
114.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
114.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
113.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
113.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
112.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
112.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
112.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
111.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
110.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
110.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
110.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
110.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
109.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
109.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
108.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
107.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
105.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
105.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
105.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
105.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
105.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
104.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
102.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
102.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
102.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
101.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
101.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
100.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
99.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
98.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
98.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
97.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
96.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
96.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
95.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
93.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
93.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
93.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
92.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
92.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
92.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
91.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
91.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
90.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
89.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
89.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
87.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
86.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
85.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
85.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
84.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
84.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
83.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
83.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
83.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
81.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
81.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
81.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
78.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
78.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
77.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
77.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
75.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
75.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
75.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
74.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
74.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
73.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
73.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
72.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
70.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
69.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
66.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
64.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
60.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
25.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
16.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.9
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.
SCD 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
128.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
349.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
326.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
297.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
296.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
285.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
272.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
270.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
257.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
253.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
240.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
235.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
227.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
226.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
207.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
204.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
201.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
197.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
190.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
178.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
173.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
170.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
160.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
160.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
157.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
154.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
153.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
153.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
152.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
151.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
144.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
144.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
142.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
137.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
135.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
134.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
130.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
129.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
128.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
128.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
127.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
126.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
124.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
119.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
115.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
114.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
106.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
104.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
104.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
103.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
99.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
97.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
93.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
88.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
86.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
86.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
86.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
85.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
82.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
79.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
78.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
76.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
74.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
74.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
70.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
68.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
68.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
64.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
49.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
47.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
36.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
32.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
SCD 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
151.9
Number of samples
207
Samples
Sample
Description
TPM
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
533.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
498.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
467.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
399.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
390.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
359.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
358.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
352.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
352.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
351.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
335.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
334.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
334.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
334.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
332.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
309.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
298.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
296.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
285.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
285.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
284.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
281.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
275.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
274.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
272.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
271.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
263.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
262.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
262.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
259.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
254.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
253.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
247.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
241.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
240.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
240.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
238.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
229.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
222.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
221.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
219.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
213.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
212.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
210.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
209.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
204.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
204.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
201.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
200.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
200.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
197.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
196.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
192.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
189.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
187.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
186.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
180.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
179.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
179.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
177.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
176.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
174.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
172.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
172.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
172.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
172.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
170.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
169.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
169.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
167.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
164.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
164.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
163.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
163.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
162.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
162.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
161.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
161.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
158.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
156.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
155.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
154.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
154.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
151.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
151.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
148.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
146.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
146.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
145.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
145.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
144.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
142.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
141.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
140.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
137.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
135.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
134.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
133.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
133.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
133.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
131.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
131.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
130.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
130.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
129.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
129.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
129.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
127.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
125.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
124.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
123.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
121.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
120.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
117.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
117.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
116.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
116.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
115.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
115.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
115.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
115.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
114.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
113.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
112.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
111.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
111.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
111.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
110.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
110.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
109.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
107.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
106.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
106.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
102.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
102.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
101.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
101.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
100.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
100.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
100.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
100.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
99.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
98.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
98.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
95.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
91.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
90.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
88.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
88.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
88.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
85.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
84.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
84.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
83.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
81.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
80.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
80.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
80.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
79.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
78.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
77.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
75.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
73.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
73.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
72.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
50.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
20.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-1.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
