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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.
NDUFAB1 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
149.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
379.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
369.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
367.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
267.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
265.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
263.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
258.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
251.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
249.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
247.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
243.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
233.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
232.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
230.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
226.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
220.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
217.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
217.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
215.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
213.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
213.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
210.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
205.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
201.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
201.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
201.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
200.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
200.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
199.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
197.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
197.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
196.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
194.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
194.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
194.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
193.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
193.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
192.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
190.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
189.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
188.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
188.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
186.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
185.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
184.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
184.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
184.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
182.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
182.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
181.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
178.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
178.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
177.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
175.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
175.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
174.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
174.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
174.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
174.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
173.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
172.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
172.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
171.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
170.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
170.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
169.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
169.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
169.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
169.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
169.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
168.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
168.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
168.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
168.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
167.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
167.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
166.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
166.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
165.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
165.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
165.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
163.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
163.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
162.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
162.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
162.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
161.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
161.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
160.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
160.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
159.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
158.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
157.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
157.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
156.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
156.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
155.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
155.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
153.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
153.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
152.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
152.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
152.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
151.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
151.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
151.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
150.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
150.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
150.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
149.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
149.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
149.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
149.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
149.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
149.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
148.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
148.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
148.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
147.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
147.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
147.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
146.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
146.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
146.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
146.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
145.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
145.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
145.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
145.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
145.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
144.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
143.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
143.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
143.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
141.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
141.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
140.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
140.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
140.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
139.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
138.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
138.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
136.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
136.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
135.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
135.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
134.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
134.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
134.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
134.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
134.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
133.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
133.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
133.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
132.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
132.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
131.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
131.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
131.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
130.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
130.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
130.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
129.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
128.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
128.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
128.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
127.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
127.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
127.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
127.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
126.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
125.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
125.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
125.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
124.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
124.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
124.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
123.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
123.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
122.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
122.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
121.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
120.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
120.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
120.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
119.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
118.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
118.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
118.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
117.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
117.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
117.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
116.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
116.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
115.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
115.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
112.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
112.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
112.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
112.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
112.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
111.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
111.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
111.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
110.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
110.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
109.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
108.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
108.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
108.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
108.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
107.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
107.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
106.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
106.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
106.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
104.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
103.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
103.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
103.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
102.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
102.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
102.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
102.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
101.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
101.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
100.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
100.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
99.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
99.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
97.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
95.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
94.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
93.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
92.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
91.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
90.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
90.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
85.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
85.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
84.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
81.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
80.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
79.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
79.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
78.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
78.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
77.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
74.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
74.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
70.6
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.
NDUFAB1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
66.4
Number of samples
486
Samples
Sample
Description
TPM
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
141.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
129.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
129.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
129.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
128.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
119.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
118.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
112.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
111.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
110.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
110.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
110.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
110.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
109.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
109.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
106.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
105.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
104.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
104.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
103.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
103.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
103.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
103.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
102.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
101.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
99.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
99.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
98.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
97.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
97.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
97.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
97.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
96.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
95.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
95.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
94.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
94.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
94.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
94.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
92.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
91.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
91.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
90.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
90.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
90.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
89.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
89.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
88.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
88.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
88.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
88.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
88.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
88.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
88.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
88.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
87.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
87.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
87.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
86.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
86.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
85.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
85.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
84.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
84.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
84.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
83.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
83.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
83.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
83.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
83.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
83.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
82.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
82.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
81.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
81.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
81.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
81.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
81.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
81.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
81.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
80.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
80.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
80.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
80.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
79.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
79.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
79.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
79.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
79.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
79.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
78.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
78.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
78.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
77.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
76.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
76.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
76.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
76.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
75.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
75.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
75.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
75.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
75.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
75.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
74.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
74.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
74.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
73.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
73.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
73.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
73.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
73.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
73.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
72.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
72.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
72.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
72.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
72.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
72.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
72.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
71.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
71.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
70.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
70.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
70.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
70.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
69.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
69.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
69.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
68.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
68.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
68.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
68.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
68.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
67.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
67.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
66.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
66.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
66.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
65.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
65.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
65.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
65.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
65.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
65.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
64.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
64.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
64.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
63.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
63.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
62.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
62.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
62.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
62.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
62.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
62.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
61.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
61.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
61.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
61.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
59.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
59.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
58.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
58.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
55.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
55.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
55.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
53.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
53.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
51.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
50.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
49.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
47.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
42.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
37.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
29.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDUFAB1 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
147.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
429.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
319.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
261.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
238.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
237.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
226.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
221.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
206.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
204.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
203.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
196.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
194.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
192.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
189.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
189.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
187.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
185.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
184.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
181.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
180.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
174.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
173.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
172.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
168.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
168.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
165.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
162.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
161.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
161.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
159.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
158.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
158.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
156.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
156.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
156.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
151.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
148.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
148.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
148.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
146.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
145.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
145.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
144.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
144.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
144.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
141.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
139.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
137.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
133.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
132.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
126.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
125.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
123.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
122.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
122.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
119.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
118.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
115.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
115.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
115.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
115.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
114.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
111.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
110.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
109.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
108.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
106.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
104.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
102.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
100.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
100.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
98.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
96.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
95.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
95.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
94.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
92.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
91.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
89.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
85.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
79.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
76.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
74.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
66.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDUFAB1 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
54.9
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
135.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
117.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
116.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
114.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
111.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
93.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
90.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
85.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
83.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
83.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
82.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
81.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
79.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
79.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
76.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
76.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
73.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
73.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
73.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
72.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
72.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
71.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
70.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
67.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
66.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
64.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
63.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
62.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
61.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
59.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
57.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
57.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
55.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
54.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
50.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
45.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
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Tumor
0.3
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Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
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Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.1
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Normal
0.1
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Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
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Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
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Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
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Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
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.