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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.
NDUFA12 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
142.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
324.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
246.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
240.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
239.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
238.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
235.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
234.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
233.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
230.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
226.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
225.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
224.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
220.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
215.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
214.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
211.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
209.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
208.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
206.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
206.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
206.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
205.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
200.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
197.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
197.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
196.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
196.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
195.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
195.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
194.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
191.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
188.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
187.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
186.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
185.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
185.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
184.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
182.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
181.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
181.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
179.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
179.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
178.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
177.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
176.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
175.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
175.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
174.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
173.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
173.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
173.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
173.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
172.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
172.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
172.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
171.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
170.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
169.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
167.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
167.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
166.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
165.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
165.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
164.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
164.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
164.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
163.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
163.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
163.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
161.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
161.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
160.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
159.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
158.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
158.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
157.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
157.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
156.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
156.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
156.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
155.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
154.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
154.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
153.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
152.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
152.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
151.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
151.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
150.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
150.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
149.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
149.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
149.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
149.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
148.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
147.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
146.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
146.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
145.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
145.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
145.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
144.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
143.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
143.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
143.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
142.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
141.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
141.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
141.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
141.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
141.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
141.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
140.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
140.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
140.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
138.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
138.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
138.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
138.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
136.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
136.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
136.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
136.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
136.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
136.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
135.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
135.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
135.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
134.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
134.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
134.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
134.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
133.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
133.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
132.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
131.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
131.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
129.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
129.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
128.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
128.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
127.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
127.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
127.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
127.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
127.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
127.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
127.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
126.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
126.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
126.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
126.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
125.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
125.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
124.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
124.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
123.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
123.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
123.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
123.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
123.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
122.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
122.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
122.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
122.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
122.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
122.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
121.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
121.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
121.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
120.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
120.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
120.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
120.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
118.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
118.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
118.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
118.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
117.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
117.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
116.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
115.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
115.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
115.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
114.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
113.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
113.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
113.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
113.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
113.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
113.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
112.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
112.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
112.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
111.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
111.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
110.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
110.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
110.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
110.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
109.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
109.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
108.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
108.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
108.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
108.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
107.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
107.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
106.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
106.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
106.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
106.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
106.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
106.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
105.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
105.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
104.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
102.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
101.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
100.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
100.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
100.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
100.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
100.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
100.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
99.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
99.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
98.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
97.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
97.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
97.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
97.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
96.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
96.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
94.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
94.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
93.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
93.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
91.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
89.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
86.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
85.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
80.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
78.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
71.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
69.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
68.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
NDUFA12 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
105.9
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
242.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
206.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
201.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
195.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
188.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
187.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
184.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
184.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
176.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
171.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
171.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
165.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
165.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
163.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
163.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
161.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
161.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
159.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
158.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
157.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
157.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
157.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
156.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
156.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
154.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
154.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
152.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
151.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
151.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
150.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
149.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
147.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
147.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
147.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
146.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
146.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
146.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
145.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
145.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
145.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
144.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
144.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
143.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
143.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
143.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
143.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
142.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
142.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
141.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
141.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
141.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
141.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
141.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
140.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
140.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
140.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
140.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
139.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
139.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
138.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
137.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
136.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
136.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
135.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
134.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
134.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
134.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
133.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
133.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
133.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
133.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
132.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
132.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
132.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
131.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
131.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
131.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
131.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
131.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
131.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
131.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
130.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
130.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
130.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
129.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
129.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
129.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
129.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
128.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
128.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
128.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
128.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
128.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
128.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
128.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
127.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
127.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
127.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
127.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
127.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
126.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
125.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
125.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
125.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
124.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
124.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
124.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
124.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
124.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
124.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
124.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
124.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
123.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
123.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
123.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
123.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
123.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
122.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
122.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
122.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
122.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
122.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
122.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
122.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
122.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
122.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
121.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
121.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
121.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
121.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
121.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
121.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
121.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
121.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
121.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
120.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
120.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
120.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
119.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
119.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
119.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
119.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
119.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
119.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
119.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
119.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
119.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
119.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
118.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
118.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
118.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
118.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
118.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
118.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
117.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
117.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
117.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
117.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
117.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
117.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
117.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
117.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
117.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
117.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
117.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
116.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
116.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
116.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
116.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
116.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
115.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
115.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
115.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
115.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
115.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
115.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
114.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
114.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
114.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
114.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
114.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
113.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
113.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
113.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
113.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
113.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
113.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
112.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
112.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
112.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
112.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
112.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
112.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
112.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
112.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
111.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
111.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
111.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
111.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
111.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
110.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
110.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
110.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
110.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
110.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
110.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
110.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
110.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
109.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
109.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
109.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
109.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
109.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
109.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
108.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
108.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
108.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
108.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
108.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
108.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
108.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
108.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
108.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
107.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
107.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
107.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
107.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
107.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
107.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
107.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
106.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
106.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
106.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
106.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
106.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
106.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
105.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
105.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
105.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
105.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
105.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
104.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
104.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
104.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
104.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
103.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
103.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
102.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
102.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
102.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
102.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
102.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
101.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
101.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
101.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
101.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
101.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
101.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
101.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
101.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
101.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
101.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
101.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
100.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
100.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
100.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
100.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
100.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
100.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
99.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
99.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
99.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
99.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
99.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
99.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
99.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
99.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
98.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
98.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
98.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
98.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
98.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
98.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
98.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
98.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
97.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
97.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
97.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
97.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
97.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
97.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
96.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
96.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
96.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
96.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
96.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
96.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
96.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
96.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
96.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
96.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
96.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
96.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
95.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
95.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
95.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
95.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
95.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
95.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
94.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
94.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
94.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
94.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
93.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
93.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
93.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
93.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
93.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
93.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
93.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
92.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
92.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
92.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
92.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
92.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
91.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
91.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
91.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
91.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
91.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
91.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
91.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
91.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
91.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
90.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
90.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
90.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
90.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
89.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
89.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
89.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
89.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
89.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
89.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
89.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
89.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
88.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
87.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
87.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
87.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
86.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
86.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
86.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
86.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
85.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
85.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
84.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
84.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
84.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
84.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
84.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
83.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
83.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
83.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
83.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
82.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
82.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
82.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
81.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
81.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
81.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
80.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
80.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
80.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
80.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
79.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
79.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
79.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
79.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
78.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
78.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
78.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
78.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
78.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
78.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
77.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
76.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
76.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
75.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
75.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
75.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
75.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
75.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
74.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
74.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
73.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
73.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
73.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
73.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
73.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
72.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
72.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
70.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
70.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
69.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
68.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
68.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
66.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
64.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
64.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
63.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
62.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
60.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
54.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.7
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.
NDUFA12 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
138.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
257.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
233.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
211.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
209.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
203.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
202.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
198.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
198.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
189.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
189.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
189.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
188.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
185.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
184.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
183.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
179.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
177.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
177.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
176.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
175.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
171.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
170.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
170.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
170.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
167.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
166.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
164.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
162.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
161.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
159.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
155.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
152.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
145.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
144.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
140.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
139.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
139.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
137.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
136.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
135.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
135.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
135.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
133.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
132.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
132.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
132.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
130.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
129.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
128.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
128.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
128.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
128.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
127.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
126.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
125.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
124.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
123.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
123.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
120.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
117.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
115.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
112.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
111.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
111.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
111.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
110.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
108.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
108.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
107.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
107.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
105.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
104.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
99.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
97.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
97.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
97.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
95.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
90.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
89.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
81.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
75.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
60.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
57.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
56.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDUFA12 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
91.8
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
193.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
161.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
157.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
150.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
146.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
144.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
142.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
142.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
141.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
140.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
140.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
140.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
140.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
139.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
139.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
138.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
136.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
135.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
131.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
131.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
129.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
125.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
124.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
122.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
122.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
122.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
121.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
120.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
119.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
118.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
118.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
118.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
117.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
115.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
115.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
115.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
113.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
113.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
112.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
112.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
111.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
110.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
110.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
110.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
109.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
108.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
108.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
108.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
107.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
107.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
106.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
106.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
105.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
105.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
104.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
103.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
103.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
103.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
102.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
102.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
102.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
102.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
101.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
101.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
101.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
101.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
101.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
101.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
100.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
100.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
100.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
99.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
99.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
98.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
98.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
98.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
98.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
98.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
97.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
97.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
97.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
97.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
97.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
96.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
96.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
95.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
95.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
94.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
94.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
94.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
93.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
93.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
93.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
93.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
92.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
91.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
91.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
91.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
90.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
90.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
89.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
89.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
89.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
89.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
87.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
87.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
87.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
86.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
86.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
86.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
85.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
84.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
84.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
84.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
83.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
83.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
82.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
82.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
81.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
81.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
80.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
80.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
80.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
80.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
79.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
79.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
79.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
79.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
78.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
77.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
77.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
77.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
77.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
76.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
76.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
75.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
75.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
74.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
73.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
72.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
69.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
69.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
67.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
66.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
65.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
64.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
64.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
64.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
62.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
61.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
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Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
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Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
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Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
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Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
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Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.