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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.
UQCR10 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
135.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
633.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
305.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
299.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
264.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
261.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
248.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
240.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
235.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
233.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
227.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
223.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
222.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
215.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
214.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
211.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
207.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
207.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
202.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
201.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
199.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
199.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
198.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
196.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
192.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
191.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
188.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
186.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
185.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
182.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
181.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
179.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
176.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
176.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
174.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
170.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
170.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
170.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
168.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
168.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
167.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
166.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
166.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
165.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
165.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
163.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
163.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
163.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
162.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
159.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
159.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
159.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
157.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
157.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
156.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
156.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
156.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
155.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
155.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
155.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
154.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
154.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
153.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
153.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
153.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
152.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
152.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
152.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
151.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
151.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
151.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
151.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
151.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
151.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
150.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
149.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
149.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
148.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
147.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
147.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
147.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
145.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
145.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
144.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
144.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
144.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
143.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
143.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
143.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
143.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
143.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
142.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
142.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
142.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
141.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
141.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
141.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
141.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
141.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
141.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
141.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
141.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
140.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
140.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
139.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
139.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
139.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
139.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
139.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
139.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
139.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
138.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
138.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
138.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
137.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
136.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
136.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
136.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
136.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
135.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
135.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
135.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
135.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
135.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
135.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
134.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
134.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
134.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
133.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
133.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
133.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
132.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
131.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
131.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
130.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
129.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
128.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
126.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
126.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
126.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
126.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
125.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
125.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
125.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
124.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
124.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
123.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
123.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
123.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
123.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
123.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
122.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
121.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
121.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
120.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
120.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
119.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
119.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
119.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
119.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
118.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
118.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
118.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
118.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
117.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
116.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
116.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
116.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
116.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
112.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
112.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
112.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
111.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
111.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
110.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
109.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
109.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
108.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
108.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
107.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
107.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
106.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
106.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
106.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
105.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
105.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
105.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
103.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
103.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
102.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
102.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
101.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
101.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
100.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
100.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
100.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
99.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
99.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
98.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
98.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
97.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
97.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
96.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
96.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
96.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
95.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
93.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
92.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
92.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
91.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
91.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
90.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
90.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
90.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
89.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
89.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
89.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
89.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
89.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
88.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
87.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
86.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
81.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
81.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
79.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
79.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
79.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
79.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
78.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
78.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
77.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
70.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
68.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
67.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
66.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
65.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 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.
UQCR10 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
66.5
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
139.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
130.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
128.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
115.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
115.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
113.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
112.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
111.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
111.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
110.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
108.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
108.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
107.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
107.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
105.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
104.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
102.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
102.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
102.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
101.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
100.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
100.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
99.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
99.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
98.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
98.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
97.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
97.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
97.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
97.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
97.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
95.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
95.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
95.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
95.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
95.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
94.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
94.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
94.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
93.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
92.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
91.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
91.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
90.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
90.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
89.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
88.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
87.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
87.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
86.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
86.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
86.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
86.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
86.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
86.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
85.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
85.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
85.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
85.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
85.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
84.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
84.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
84.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
84.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
84.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
84.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
84.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
83.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
83.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
83.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
83.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
83.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
83.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
82.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
82.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
82.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
82.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
82.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
82.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
82.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
81.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
81.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
81.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
81.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
80.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
80.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
80.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
80.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
79.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
79.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
79.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
78.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
78.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
77.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
77.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
77.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
77.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
77.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
77.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
76.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
76.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
76.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
76.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
76.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
75.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
75.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
75.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
75.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
74.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
74.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
74.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
74.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
73.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
73.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
73.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
73.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
73.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
73.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
72.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
72.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
72.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
72.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
71.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
71.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
71.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
71.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
71.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
70.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
70.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
69.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
69.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
69.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
69.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
69.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
68.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
66.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
66.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
66.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
66.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
66.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
66.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
65.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
65.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
65.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
65.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
64.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
64.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
63.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
63.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
63.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
63.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
61.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
61.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
61.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
60.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
59.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
59.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
58.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
57.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
57.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
55.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
55.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
54.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
52.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
52.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
51.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
50.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
43.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
35.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
33.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
33.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
UQCR10 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
123.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
353.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
224.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
216.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
214.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
191.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
189.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
186.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
177.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
174.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
166.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
165.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
163.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
163.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
156.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
156.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
155.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
154.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
154.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
152.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
151.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
151.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
146.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
145.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
144.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
142.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
138.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
135.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
134.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
133.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
130.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
127.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
127.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
127.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
126.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
126.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
125.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
122.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
121.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
121.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
119.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
119.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
118.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
117.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
117.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
117.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
116.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
116.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
113.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
109.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
108.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
108.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
108.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
106.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
104.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
104.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
103.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
102.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
101.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
100.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
100.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
100.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
100.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
99.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
97.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
97.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
96.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
94.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
89.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
87.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
87.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
87.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
87.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
85.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
77.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
77.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
75.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
74.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
70.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
66.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
60.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
UQCR10 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
53.3
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
106.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
94.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
93.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
87.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
84.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
82.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
81.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
77.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
77.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
72.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
71.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
70.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
70.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
68.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
67.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
66.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
66.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
65.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
64.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
63.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
63.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
60.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
57.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
57.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
52.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
51.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
48.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
48.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.9
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.
The Human Protein Atlas project is funded
