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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.
ACTN4 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
173.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
475.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
416.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
403.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
400.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
384.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
354.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
347.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
345.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
328.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
318.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
315.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
312.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
311.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
306.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
303.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
302.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
300.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
299.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
293.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
289.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
288.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
288.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
284.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
281.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
279.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
275.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
275.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
270.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
266.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
266.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
266.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
265.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
264.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
263.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
256.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
255.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
249.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
249.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
247.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
245.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
244.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
243.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
240.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
239.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
238.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
236.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
235.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
234.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
233.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
230.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
229.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
228.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
227.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
227.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
226.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
226.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
225.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
225.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
224.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
222.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
222.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
222.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
221.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
221.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
220.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
219.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
219.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
214.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
214.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
214.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
212.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
211.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
210.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
210.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
209.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
208.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
206.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
205.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
204.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
204.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
203.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
203.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
201.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
201.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
197.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
195.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
195.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
193.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
192.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
191.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
191.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
191.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
190.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
189.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
188.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
188.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
188.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
185.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
185.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
184.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
184.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
184.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
183.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
183.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
182.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
182.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
181.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
181.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
181.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
181.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
180.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
179.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
179.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
178.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
177.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
176.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
176.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
176.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
175.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
175.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
174.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
173.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
173.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
172.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
172.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
172.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
171.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
171.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
170.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
170.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
169.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
167.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
167.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
166.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
165.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
164.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
164.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
163.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
160.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
160.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
160.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
158.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
158.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
157.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
157.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
155.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
154.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
154.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
153.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
151.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
151.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
150.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
149.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
148.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
145.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
144.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
143.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
142.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
141.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
141.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
141.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
140.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
140.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
138.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
138.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
136.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
135.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
133.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
133.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
131.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
127.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
127.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
125.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
125.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
123.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
120.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
120.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
120.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
119.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
119.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
117.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
117.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
116.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
116.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
114.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
113.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
112.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
112.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
112.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
111.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
111.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
111.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
111.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
110.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
110.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
109.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
108.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
108.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
107.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
106.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
106.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
104.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
104.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
102.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
101.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
99.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
98.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
96.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
94.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
92.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
91.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
90.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
90.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
88.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
88.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
87.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
86.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
84.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
83.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
82.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
80.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
80.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
79.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
79.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
76.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
75.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
74.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
72.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
69.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
67.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
67.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
66.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
65.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
64.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
63.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
63.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
63.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
63.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
59.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
ACTN4 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
275.6
Number of samples
486
Samples
Sample
Description
TPM
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
849.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
627.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
564.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
563.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
554.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
541.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
541.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
540.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
517.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
511.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
511.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
504.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
503.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
503.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
501.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
488.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
477.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
476.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
472.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
472.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
450.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
449.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
448.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
447.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
445.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
441.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
438.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
433.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
429.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
428.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
422.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
421.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
421.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
418.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
417.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
414.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
414.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
408.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
407.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
406.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
400.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
399.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
397.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
397.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
394.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
393.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
392.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
388.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
385.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
385.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
383.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
383.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
380.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
378.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
377.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
376.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
375.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
373.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
371.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
371.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
370.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
370.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
368.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
368.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
366.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
366.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
365.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
364.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
364.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
364.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
362.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
362.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
359.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
358.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
358.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
355.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
355.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
355.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
354.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
352.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
351.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
349.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
349.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
346.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
346.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
345.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
345.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
344.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
344.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
343.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
342.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
342.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
341.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
341.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
340.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
339.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
338.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
338.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
337.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
336.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
336.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
335.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
335.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
334.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
334.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
333.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
332.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
332.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
332.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
332.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
331.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
330.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
330.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
330.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
329.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
328.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
328.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
327.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
326.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
325.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
324.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
323.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
321.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
320.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
319.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
319.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
319.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
319.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
318.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
318.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
318.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
317.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
317.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
315.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
315.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
315.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
313.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
313.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
312.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
312.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
311.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
311.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
309.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
309.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
308.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
307.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
307.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
307.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
306.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
306.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
305.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
303.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
303.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
302.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
302.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
302.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
300.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
300.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
300.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
299.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
299.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
298.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
298.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
298.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
297.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
295.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
294.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
294.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
294.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
294.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
293.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
292.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
292.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
291.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
289.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
289.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
289.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
289.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
288.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
288.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
288.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
288.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
287.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
286.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
285.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
285.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
284.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
284.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
283.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
281.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
281.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
281.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
281.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
280.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
279.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
279.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
279.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
279.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
279.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
278.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
277.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
277.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
276.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
276.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
276.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
276.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
276.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
275.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
275.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
275.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
274.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
274.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
274.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
273.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
273.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
273.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
272.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
272.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
272.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
271.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
270.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
270.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
270.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
269.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
269.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
269.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
268.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
267.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
267.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
267.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
267.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
266.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
265.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
265.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
265.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
264.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
264.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
264.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
263.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
263.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
263.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
262.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
262.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
261.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
261.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
261.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
261.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
260.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
260.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
260.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
259.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
259.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
259.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
258.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
258.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
257.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
257.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
256.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
256.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
256.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
256.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
256.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
256.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
256.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
255.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
255.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
255.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
253.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
253.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
253.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
252.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
251.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
251.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
250.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
250.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
250.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
250.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
249.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
249.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
248.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
248.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
248.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
247.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
246.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
246.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
246.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
245.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
244.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
244.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
244.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
243.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
242.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
242.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
241.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
241.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
240.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
240.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
240.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
239.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
239.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
238.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
238.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
238.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
238.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
237.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
236.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
236.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
235.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
234.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
234.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
234.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
233.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
232.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
231.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
231.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
231.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
230.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
230.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
230.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
229.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
229.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
229.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
227.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
227.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
227.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
226.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
226.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
226.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
225.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
225.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
224.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
224.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
224.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
224.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
223.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
223.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
223.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
222.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
222.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
222.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
221.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
221.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
221.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
220.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
220.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
220.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
220.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
219.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
218.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
218.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
218.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
216.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
216.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
216.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
215.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
215.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
215.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
215.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
214.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
214.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
213.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
213.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
213.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
213.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
212.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
211.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
211.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
211.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
211.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
211.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
211.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
210.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
210.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
210.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
210.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
209.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
208.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
208.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
208.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
207.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
207.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
206.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
206.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
205.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
205.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
204.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
204.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
204.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
203.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
203.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
202.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
201.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
201.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
201.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
201.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
201.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
201.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
200.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
200.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
200.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
199.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
199.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
199.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
199.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
198.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
195.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
195.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
195.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
194.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
193.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
193.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
193.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
192.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
192.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
191.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
191.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
191.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
190.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
190.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
190.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
190.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
190.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
189.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
189.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
188.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
188.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
188.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
187.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
187.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
186.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
186.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
184.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
183.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
183.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
183.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
180.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
180.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
179.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
179.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
179.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
178.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
175.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
175.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
174.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
174.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
174.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
174.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
172.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
171.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
171.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
170.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
170.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
167.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
165.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
163.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
163.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
161.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
161.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
160.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
160.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
160.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
156.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
155.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
153.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
153.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
152.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
152.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
152.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
151.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
150.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
148.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
148.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
147.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
145.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
145.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
143.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
142.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
141.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
141.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
140.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
139.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
127.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
125.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
113.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.1
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.
ACTN4 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
161.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
348.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
338.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
284.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
275.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
273.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
272.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
252.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
242.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
241.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
238.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
236.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
235.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
235.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
234.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
232.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
229.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
217.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
216.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
215.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
213.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
212.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
208.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
207.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
207.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
201.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
197.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
195.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
195.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
194.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
192.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
188.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
188.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
187.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
183.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
183.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
181.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
177.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
174.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
173.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
173.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
172.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
166.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
166.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
164.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
162.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
159.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
155.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
155.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
150.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
149.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
147.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
144.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
141.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
140.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
137.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
137.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
137.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
134.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
133.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
132.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
130.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
129.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
117.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
117.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
112.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
105.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
104.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
103.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
97.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
97.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
96.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
95.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
85.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
77.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
76.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
75.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
75.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
75.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
55.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
53.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
36.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
ACTN4 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
247.2
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
850.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
558.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
556.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
514.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
451.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
438.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
414.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
409.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
399.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
381.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
375.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
371.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
361.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
361.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
354.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
342.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
340.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
338.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
336.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
335.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
333.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
330.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
329.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
325.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
320.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
320.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
320.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
319.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
318.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
317.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
316.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
316.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
313.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
313.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
312.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
311.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
310.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
307.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
307.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
307.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
306.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
301.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
297.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
296.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
295.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
294.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
293.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
293.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
292.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
291.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
291.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
289.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
284.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
283.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
281.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
278.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
278.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
277.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
275.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
274.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
274.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
273.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
273.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
273.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
269.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
269.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
269.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
268.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
267.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
267.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
266.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
265.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
264.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
263.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
263.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
262.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
262.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
259.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
257.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
254.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
254.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
250.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
250.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
250.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
249.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
249.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
248.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
247.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
246.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
245.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
244.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
243.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
243.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
242.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
241.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
241.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
239.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
239.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
239.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
238.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
237.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
237.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
237.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
237.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
235.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
235.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
235.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
235.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
233.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
233.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
232.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
228.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
228.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
227.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
226.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
226.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
226.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
225.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
225.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
225.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
224.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
223.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
223.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
222.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
222.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
221.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
219.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
219.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
218.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
217.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
217.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
217.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
215.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
214.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
213.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
213.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
213.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
213.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
212.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
208.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
207.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
207.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
206.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
205.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
204.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
203.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
202.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
202.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
202.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
200.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
198.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
195.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
195.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
191.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
190.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
190.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
189.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
188.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
188.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
187.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
187.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
187.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
186.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
185.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
184.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
184.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
183.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
182.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
180.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
180.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
180.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
179.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
178.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
177.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
177.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
176.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
176.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
175.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
173.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
173.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
164.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
163.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
162.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
161.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
160.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
156.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
155.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
155.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
153.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
153.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
153.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
151.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
150.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
148.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
144.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
144.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
142.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
141.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
140.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
138.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
130.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
127.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
124.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
121.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
116.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
109.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
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Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
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Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
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Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
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Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
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Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
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Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
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Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
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.