We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PRAP1 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
183.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1237.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
977.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
818.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
810.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
744.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
732.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
708.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
555.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
550.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
549.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
549.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
533.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
502.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
498.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
487.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
479.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
465.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
439.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
420.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
416.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
410.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
397.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
393.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
383.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
371.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
365.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
361.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
358.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
342.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
341.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
329.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
327.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
325.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
318.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
318.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
316.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
315.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
315.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
314.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
308.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
306.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
305.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
286.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
285.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
285.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
284.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
284.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
279.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
276.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
271.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
269.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
269.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
268.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
267.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
264.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
262.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
260.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
259.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
259.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
256.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
251.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
250.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
248.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
247.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
246.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
238.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
229.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
229.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
227.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
226.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
224.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
223.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
222.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
221.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
216.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
216.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
215.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
214.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
214.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
213.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
211.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
210.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
205.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
204.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
204.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
203.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
203.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
201.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
200.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
197.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
196.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
194.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
194.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
194.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
193.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
192.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
189.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
186.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
184.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
184.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
183.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
180.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
178.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
176.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
175.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
175.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
174.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
174.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
173.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
171.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
168.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
167.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
166.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
166.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
164.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
164.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
163.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
163.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
161.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
161.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
160.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
159.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
158.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
157.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
156.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
156.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
156.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
155.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
153.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
153.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
151.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
149.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
148.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
146.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
146.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
146.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
145.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
142.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
141.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
140.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
138.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
135.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
135.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
134.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
132.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
132.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
131.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
127.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
127.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
127.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
126.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
126.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
124.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
121.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
120.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
119.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
119.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
118.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
117.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
115.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
114.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
114.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
113.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
110.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
110.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
109.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
103.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
101.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
90.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
90.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
89.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
88.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
88.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
87.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
87.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
86.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
86.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
83.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
81.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
81.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
80.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
79.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
69.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
68.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
68.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
68.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
63.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
62.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
60.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
59.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
51.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
48.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
43.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
38.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
34.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
29.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
24.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
22.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
14.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
9.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
6.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
6.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
5.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
0.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
0.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
0.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
PRAP1 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
65.4
Number of samples
486
Samples
Sample
Description
TPM
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
450.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
349.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
333.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
279.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
277.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
272.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
271.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
270.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
254.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
248.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
230.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
209.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
199.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
198.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
197.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
197.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
195.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
193.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
192.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
191.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
191.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
190.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
188.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
188.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
186.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
184.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
184.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
178.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
177.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
175.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
173.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
169.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
167.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
161.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
160.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
160.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
159.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
158.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
158.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
157.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
153.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
153.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
152.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
151.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
148.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
147.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
144.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
143.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
143.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
141.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
140.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
140.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
140.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
140.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
140.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
139.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
139.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
139.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
138.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
138.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
137.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
133.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
133.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
130.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
128.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
127.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
125.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
125.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
124.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
124.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
123.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
122.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
122.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
121.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
119.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
119.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
118.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
118.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
118.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
114.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
113.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
112.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
112.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
111.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
110.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
109.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
109.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
109.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
108.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
107.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
106.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
106.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
105.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
104.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
104.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
103.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
102.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
102.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
99.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
99.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
98.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
98.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
98.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
98.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
97.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
97.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
96.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
96.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
96.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
96.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
96.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
95.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
95.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
95.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
94.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
93.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
93.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
92.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
92.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
92.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
92.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
92.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
91.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
91.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
90.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
87.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
86.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
86.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
85.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
85.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
85.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
84.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
84.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
84.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
84.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
82.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
82.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
82.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
82.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
82.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
81.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
81.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
80.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
77.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
77.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
77.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
77.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
76.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
76.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
75.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
74.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
72.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
72.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
72.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
72.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
71.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
70.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
69.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
69.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
67.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
67.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
67.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
66.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
66.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
64.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
63.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
62.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
60.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
58.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
54.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
53.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
53.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
51.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
50.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
49.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
35.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
34.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
28.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
27.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
27.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
25.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
25.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
25.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
24.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
23.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
23.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
22.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
22.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
21.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
21.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
19.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
19.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
19.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
18.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
17.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
17.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
16.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
16.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
16.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
16.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
16.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
16.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
16.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
15.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
15.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
15.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
14.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
14.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
14.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
14.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
14.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
13.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
13.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
13.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
13.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
13.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
13.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
12.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
12.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
12.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
12.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
12.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
11.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
11.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
11.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
11.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
10.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
10.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
10.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
10.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
10.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
10.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
10.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
10.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
10.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
10.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
10.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
10.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
10.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
9.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
9.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
9.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
9.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
9.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
9.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
9.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
9.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
9.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
8.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
8.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
8.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
8.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
8.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
8.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
8.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
8.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
7.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
7.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
7.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
7.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
7.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
6.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
6.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
6.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
6.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
6.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
6.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
6.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
5.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
5.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
5.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
5.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
4.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
4.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
4.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
4.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
4.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
4.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
4.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
4.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
4.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
4.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
4.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
4.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
4.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
3.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
3.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
3.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
3.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
3.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
3.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
3.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
3.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
2.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
2.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
2.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
2.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
2.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
0.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
0.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 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.
PRAP1 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
197.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
768.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
659.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
607.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
533.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
519.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
510.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
492.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
436.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
435.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
392.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
391.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
382.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
382.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
366.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
357.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
318.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
312.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
309.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
295.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
289.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
286.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
254.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
251.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
250.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
245.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
244.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
237.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
236.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
236.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
236.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
229.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
219.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
219.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
219.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
214.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
209.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
204.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
202.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
201.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
186.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
179.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
176.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
168.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
159.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
153.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
149.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
141.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
140.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
126.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
125.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
122.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
120.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
119.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
117.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
112.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
107.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
105.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
105.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
103.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
103.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
100.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
96.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
94.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
92.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
85.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
83.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
77.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
65.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
61.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
48.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
10.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
4.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
PRAP1 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
73.0
Number of samples
207
Samples
Sample
Description
TPM
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
264.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
257.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
253.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
228.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
221.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
212.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
206.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
194.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
179.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
172.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
167.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
156.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
155.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
155.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
154.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
150.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
147.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
146.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
143.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
138.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
138.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
135.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
134.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
128.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
125.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
124.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
124.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
124.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
122.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
121.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
121.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
117.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
114.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
114.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
114.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
113.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
112.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
111.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
111.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
110.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
110.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
109.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
108.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
105.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
104.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
104.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
104.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
103.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
103.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
103.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
101.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
100.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
100.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
98.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
98.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
98.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
95.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
94.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
93.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
92.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
91.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
90.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
89.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
88.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
85.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
83.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
83.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
81.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
80.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
80.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
79.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
79.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
78.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
78.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
76.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
75.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
74.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
73.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
73.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
72.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
70.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
66.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
65.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
65.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
65.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
64.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
57.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
56.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
53.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
53.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
53.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
47.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
37.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
32.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
30.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
28.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
23.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
22.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
22.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
21.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
19.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
18.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
16.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
14.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
13.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
13.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
13.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
11.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
7.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
7.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
6.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
4.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
3.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
3.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
