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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR1D 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
182.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
862.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
768.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
689.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
587.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
504.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
411.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
409.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
399.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
392.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
378.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
367.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
362.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
353.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
344.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
338.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
338.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
324.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
315.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
312.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
291.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
284.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
270.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
270.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
266.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
264.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
263.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
263.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
261.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
260.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
257.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
256.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
256.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
250.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
247.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
247.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
246.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
245.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
243.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
241.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
241.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
241.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
238.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
238.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
237.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
235.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
233.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
233.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
222.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
222.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
221.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
221.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
216.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
216.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
215.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
214.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
213.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
212.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
211.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
208.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
208.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
207.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
205.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
203.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
202.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
202.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
200.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
200.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
200.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
199.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
198.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
198.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
198.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
197.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
196.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
194.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
193.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
192.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
192.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
192.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
192.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
191.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
190.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
189.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
188.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
187.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
184.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
183.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
183.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
181.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
181.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
180.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
179.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
179.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
178.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
178.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
177.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
177.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
177.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
175.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
174.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
174.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
174.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
173.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
173.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
172.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
172.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
172.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
172.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
171.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
171.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
171.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
170.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
170.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
170.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
170.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
169.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
168.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
167.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
166.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
166.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
165.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
164.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
163.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
162.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
162.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
162.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
161.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
160.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
160.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
160.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
159.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
157.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
155.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
154.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
154.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
154.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
154.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
153.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
153.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
153.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
153.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
151.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
150.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
150.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
150.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
150.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
149.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
149.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
148.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
148.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
148.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
148.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
147.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
146.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
146.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
146.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
146.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
146.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
145.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
145.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
145.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
143.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
143.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
142.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
142.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
141.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
141.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
140.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
140.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
139.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
137.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
137.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
137.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
136.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
135.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
134.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
134.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
132.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
132.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
132.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
132.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
132.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
131.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
130.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
130.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
128.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
128.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
128.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
128.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
126.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
125.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
125.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
125.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
125.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
124.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
123.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
123.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
122.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
122.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
122.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
122.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
122.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
121.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
121.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
120.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
120.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
119.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
119.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
118.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
117.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
115.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
114.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
113.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
113.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
112.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
112.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
111.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
110.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
109.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
107.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
105.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
105.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
105.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
104.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
104.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
103.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
103.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
102.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
101.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
99.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
99.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
94.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
93.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
93.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
92.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
91.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
89.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
88.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
87.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
84.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
83.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
81.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
80.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
78.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
76.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
76.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
70.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
68.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR1D 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
118.9
Number of samples
486
Samples
Sample
Description
TPM
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
961.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
445.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
406.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
398.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
383.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
354.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
308.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
301.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
295.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
287.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
263.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
255.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
251.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
250.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
244.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
243.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
239.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
234.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
226.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
225.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
224.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
216.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
209.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
208.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
207.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
205.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
204.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
204.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
201.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
200.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
191.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
191.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
190.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
188.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
187.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
186.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
186.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
181.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
181.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
180.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
180.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
178.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
176.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
175.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
175.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
175.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
172.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
172.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
171.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
169.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
169.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
169.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
168.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
168.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
168.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
166.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
166.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
166.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
166.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
165.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
165.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
165.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
162.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
161.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
160.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
157.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
156.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
154.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
153.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
153.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
152.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
152.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
152.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
152.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
149.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
148.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
148.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
147.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
147.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
147.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
147.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
145.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
144.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
144.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
142.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
142.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
142.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
142.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
142.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
141.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
141.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
141.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
140.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
140.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
140.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
140.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
140.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
139.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
139.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
139.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
138.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
138.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
137.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
137.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
137.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
137.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
136.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
136.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
136.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
136.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
135.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
135.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
135.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
134.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
134.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
134.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
134.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
134.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
134.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
134.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
134.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
132.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
132.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
131.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
131.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
131.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
130.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
130.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
130.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
130.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
129.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
128.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
128.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
128.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
128.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
128.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
127.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
127.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
127.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
127.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
126.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
126.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
126.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
126.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
125.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
125.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
125.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
125.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
125.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
124.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
124.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
124.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
124.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
123.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
123.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
123.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
123.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
123.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
122.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
122.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
122.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
122.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
122.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
121.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
121.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
121.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
121.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
121.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
120.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
120.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
119.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
119.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
118.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
118.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
118.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
117.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
117.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
117.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
117.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
116.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
116.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
116.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
116.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
116.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
116.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
116.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
115.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
115.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
115.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
114.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
114.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
114.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
113.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
113.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
113.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
113.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
113.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
113.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
113.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
113.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
113.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
113.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
113.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
112.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
112.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
112.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
112.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
112.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
112.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
111.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
111.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
111.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
111.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
111.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
111.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
110.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
110.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
110.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
110.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
110.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
110.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
110.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
109.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
109.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
109.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
109.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
108.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
108.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
107.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
107.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
107.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
107.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
106.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
106.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
105.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
105.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
104.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
104.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
104.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
104.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
104.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
103.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
103.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
103.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
103.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
103.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
102.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
102.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
102.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
102.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
102.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
102.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
102.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
102.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
102.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
102.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
102.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
102.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
101.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
101.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
101.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
101.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
101.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
101.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
100.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
100.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
100.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
100.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
100.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
100.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
99.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
99.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
99.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
99.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
98.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
98.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
98.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
98.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
98.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
98.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
98.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
98.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
97.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
97.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
97.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
97.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
97.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
97.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
97.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
96.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
96.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
96.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
96.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
96.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
96.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
96.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
95.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
95.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
95.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
94.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
94.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
94.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
94.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
94.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
93.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
93.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
93.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
93.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
92.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
92.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
92.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
92.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
92.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
92.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
92.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
92.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
92.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
91.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
91.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
91.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
91.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
91.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
91.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
91.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
91.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
91.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
90.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
90.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
90.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
90.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
90.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
90.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
89.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
89.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
89.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
89.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
89.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
88.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
88.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
88.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
88.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
88.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
88.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
88.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
87.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
87.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
87.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
87.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
87.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
86.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
86.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
86.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
86.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
85.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
85.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
85.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
85.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
85.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
85.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
85.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
85.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
84.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
84.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
84.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
84.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
83.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
83.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
83.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
83.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
83.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
82.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
82.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
82.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
81.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
81.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
81.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
80.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
80.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
80.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
80.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
79.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
79.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
79.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
78.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
78.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
78.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
78.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
78.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
77.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
77.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
77.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
76.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
76.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
75.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
74.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
73.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
73.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
72.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
71.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
71.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
71.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
70.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
70.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
69.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
69.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
68.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
67.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
67.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
67.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
66.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
65.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
62.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
60.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
54.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR1D 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
212.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
793.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
666.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
632.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
498.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
476.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
437.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
380.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
364.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
317.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
314.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
305.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
296.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
294.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
293.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
277.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
275.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
261.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
248.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
242.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
237.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
236.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
235.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
233.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
230.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
228.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
223.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
220.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
213.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
203.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
201.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
199.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
198.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
198.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
198.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
194.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
193.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
190.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
189.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
187.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
185.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
181.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
180.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
179.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
176.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
175.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
174.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
173.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
172.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
171.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
169.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
168.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
168.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
165.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
164.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
163.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
162.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
162.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
161.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
161.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
160.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
159.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
158.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
157.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
156.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
155.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
155.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
146.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
146.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
144.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
142.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
142.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
137.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
130.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
130.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
124.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
124.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
123.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
122.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
122.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
121.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
121.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
108.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
107.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
107.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
105.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
84.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
68.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR1D 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
123.9
Number of samples
207
Samples
Sample
Description
TPM
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
767.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
684.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
561.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
465.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
378.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
308.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
298.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
287.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
261.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
257.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
251.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
233.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
213.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
212.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
207.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
202.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
200.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
199.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
199.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
194.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
190.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
183.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
174.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
170.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
166.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
161.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
161.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
158.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
155.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
154.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
153.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
150.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
150.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
150.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
149.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
149.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
148.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
148.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
147.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
147.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
146.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
145.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
144.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
143.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
142.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
139.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
134.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
132.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
132.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
132.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
132.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
130.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
130.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
130.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
130.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
130.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
129.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
128.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
128.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
127.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
126.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
126.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
124.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
123.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
123.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
123.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
122.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
121.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
120.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
120.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
120.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
120.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
118.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
118.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
117.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
117.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
117.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
115.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
115.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
114.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
114.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
114.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
112.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
112.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
112.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
112.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
111.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
111.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
110.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
110.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
109.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
108.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
107.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
107.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
106.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
105.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
105.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
105.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
104.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
104.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
103.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
102.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
102.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
102.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
102.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
101.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
101.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
100.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
100.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
100.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
100.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
99.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
97.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
97.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
96.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
96.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
95.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
95.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
94.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
93.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
93.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
93.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
91.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
91.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
91.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
90.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
90.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
89.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
89.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
88.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
88.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
88.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
88.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
87.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
87.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
87.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
87.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
86.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
86.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
86.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
86.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
84.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
84.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
84.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
83.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
82.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
82.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
81.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
80.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
80.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
80.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
80.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
80.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
79.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
79.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
79.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
79.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
79.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
78.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
77.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
75.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
75.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
75.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
75.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
74.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
74.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
74.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
74.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
73.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
72.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
72.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
72.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
72.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
71.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
71.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
68.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
66.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
64.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
61.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
61.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
54.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_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
