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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.
PTTG1IP 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
133.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
347.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
323.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
284.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
262.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
247.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
246.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
237.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
235.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
233.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
233.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
224.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
220.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
218.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
216.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
207.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
207.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
204.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
196.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
193.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
193.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
192.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
189.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
189.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
189.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
188.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
188.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
187.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
186.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
185.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
184.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
184.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
183.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
180.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
179.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
178.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
178.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
177.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
177.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
177.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
176.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
176.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
175.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
174.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
171.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
170.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
169.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
168.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
167.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
166.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
165.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
165.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
165.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
164.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
164.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
164.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
164.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
162.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
161.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
161.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
160.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
160.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
160.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
159.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
159.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
159.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
157.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
157.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
156.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
155.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
154.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
153.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
153.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
153.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
152.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
151.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
150.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
149.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
149.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
149.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
148.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
148.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
147.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
147.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
146.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
145.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
144.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
144.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
144.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
143.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
143.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
142.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
141.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
141.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
141.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
141.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
140.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
139.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
138.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
138.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
138.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
137.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
137.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
136.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
136.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
136.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
135.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
135.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
134.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
134.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
133.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
133.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
133.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
133.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
132.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
132.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
132.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
131.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
131.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
130.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
130.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
129.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
129.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
128.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
128.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
127.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
127.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
127.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
126.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
126.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
125.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
125.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
125.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
124.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
124.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
124.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
124.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
124.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
123.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
122.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
122.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
122.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
122.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
122.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
122.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
122.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
122.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
121.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
121.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
120.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
120.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
118.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
117.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
117.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
117.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
117.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
117.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
117.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
116.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
115.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
115.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
115.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
115.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
114.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
114.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
113.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
111.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
111.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
110.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
110.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
110.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
109.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
108.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
107.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
107.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
106.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
106.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
106.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
105.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
105.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
105.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
105.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
104.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
104.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
104.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
102.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
102.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
102.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
101.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
101.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
100.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
100.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
100.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
99.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
99.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
98.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
98.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
97.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
97.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
97.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
97.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
96.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
96.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
96.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
96.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
96.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
95.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
94.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
94.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
94.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
93.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
93.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
93.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
92.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
91.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
90.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
89.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
89.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
89.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
87.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
87.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
87.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
87.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
84.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
84.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
82.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
80.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
79.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
78.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
78.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
77.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
76.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
76.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
74.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
73.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
73.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
71.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
70.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
70.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
70.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
69.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
67.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
64.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
62.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
60.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
59.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTTG1IP 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
133.8
Number of samples
486
Samples
Sample
Description
TPM
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
399.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
345.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
311.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
294.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
287.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
268.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
267.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
258.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
256.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
253.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
242.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
241.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
239.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
237.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
236.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
229.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
220.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
216.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
209.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
208.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
208.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
206.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
205.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
203.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
202.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
202.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
200.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
199.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
198.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
197.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
194.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
193.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
192.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
192.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
192.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
191.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
190.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
190.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
189.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
189.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
187.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
187.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
186.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
186.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
185.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
185.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
184.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
184.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
181.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
181.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
180.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
180.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
178.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
178.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
178.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
175.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
175.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
175.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
175.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
174.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
173.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
172.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
172.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
171.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
170.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
170.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
170.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
170.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
169.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
169.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
169.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
168.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
168.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
168.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
167.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
167.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
166.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
166.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
165.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
165.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
165.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
164.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
164.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
163.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
163.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
163.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
163.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
163.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
163.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
163.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
163.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
163.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
162.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
162.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
161.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
161.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
161.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
160.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
160.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
160.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
160.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
158.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
158.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
158.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
157.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
157.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
157.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
157.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
156.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
156.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
155.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
155.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
155.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
155.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
155.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
154.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
154.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
154.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
154.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
154.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
153.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
153.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
152.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
152.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
152.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
151.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
151.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
150.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
150.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
150.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
150.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
149.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
149.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
149.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
148.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
148.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
148.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
147.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
147.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
147.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
147.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
146.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
146.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
146.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
146.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
145.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
145.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
144.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
144.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
144.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
144.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
144.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
143.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
143.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
143.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
143.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
142.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
142.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
142.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
142.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
142.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
141.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
141.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
141.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
141.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
141.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
140.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
140.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
140.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
140.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
140.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
140.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
140.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
140.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
139.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
139.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
139.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
139.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
139.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
139.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
138.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
138.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
137.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
137.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
137.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
137.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
137.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
137.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
137.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
137.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
137.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
137.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
136.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
136.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
136.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
136.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
136.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
136.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
135.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
135.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
135.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
134.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
134.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
134.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
133.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
133.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
133.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
133.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
133.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
133.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
133.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
132.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
132.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
132.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
132.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
131.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
131.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
131.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
131.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
131.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
131.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
131.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
130.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
130.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
130.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
130.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
130.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
130.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
130.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
129.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
129.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
129.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
129.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
129.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
129.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
128.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
128.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
128.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
128.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
128.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
127.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
127.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
127.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
127.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
126.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
126.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
126.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
126.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
126.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
126.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
126.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
126.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
125.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
125.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
125.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
125.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
125.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
125.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
124.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
124.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
124.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
124.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
124.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
124.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
124.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
124.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
123.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
123.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
123.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
123.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
123.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
123.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
123.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
123.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
122.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
122.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
122.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
121.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
121.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
121.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
121.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
121.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
121.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
121.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
121.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
121.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
121.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
120.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
120.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
120.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
120.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
120.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
120.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
119.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
119.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
119.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
119.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
118.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
118.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
118.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
118.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
118.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
118.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
118.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
117.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
117.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
117.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
117.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
117.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
117.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
117.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
117.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
117.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
116.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
116.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
116.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
116.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
116.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
116.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
116.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
115.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
115.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
115.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
115.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
114.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
114.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
114.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
114.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
114.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
114.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
114.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
113.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
113.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
113.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
113.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
112.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
112.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
112.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
111.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
111.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
111.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
111.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
111.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
111.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
111.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
111.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
111.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
111.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
111.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
111.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
111.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
111.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
110.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
110.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
110.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
110.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
110.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
109.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
109.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
108.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
108.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
108.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
108.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
108.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
107.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
107.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
107.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
107.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
107.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
107.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
107.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
107.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
106.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
106.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
106.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
106.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
106.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
105.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
105.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
105.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
105.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
105.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
105.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
104.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
104.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
104.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
103.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
103.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
103.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
103.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
102.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
102.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
101.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
101.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
101.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
101.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
100.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
100.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
100.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
99.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
99.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
99.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
99.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
98.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
97.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
96.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
96.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
96.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
95.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
95.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
94.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
93.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
93.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
93.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
92.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
92.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
92.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
92.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
92.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
92.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
91.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
91.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
91.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
90.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
90.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
90.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
90.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
89.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
88.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
88.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
88.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
87.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
87.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
87.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
86.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
86.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
86.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
85.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
85.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
84.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
84.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
83.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
83.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
83.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
81.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
81.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
80.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
79.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
78.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
78.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
74.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
74.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
73.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
73.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
73.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
72.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
72.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
70.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
69.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
69.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
68.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
64.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTTG1IP 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
134.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
291.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
236.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
233.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
227.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
215.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
212.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
205.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
205.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
201.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
200.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
191.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
179.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
169.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
167.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
166.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
165.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
162.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
162.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
161.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
160.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
159.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
158.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
157.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
156.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
156.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
156.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
155.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
154.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
152.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
151.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
150.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
149.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
145.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
144.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
143.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
139.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
139.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
137.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
136.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
135.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
135.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
133.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
131.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
131.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
128.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
127.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
126.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
125.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
125.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
122.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
121.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
120.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
120.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
120.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
118.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
118.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
117.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
116.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
116.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
115.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
115.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
113.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
111.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
110.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
110.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
109.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
104.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
103.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
103.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
99.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
97.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
96.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
95.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
91.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
91.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
89.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
86.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
76.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
75.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
74.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
67.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
56.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
51.2
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.
PTTG1IP 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
115.2
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
381.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
225.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
223.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
211.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
200.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
185.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
182.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
180.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
179.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
179.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
177.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
176.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
171.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
169.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
167.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
167.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
159.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
159.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
157.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
157.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
156.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
155.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
155.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
155.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
155.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
153.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
153.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
153.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
152.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
152.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
152.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
150.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
147.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
146.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
145.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
145.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
145.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
145.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
144.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
144.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
141.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
141.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
141.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
141.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
140.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
140.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
139.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
139.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
139.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
138.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
138.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
138.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
137.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
137.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
137.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
137.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
134.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
134.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
133.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
133.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
133.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
128.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
128.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
128.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
127.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
127.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
126.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
126.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
125.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
124.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
124.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
124.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
124.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
123.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
123.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
122.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
121.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
120.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
120.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
119.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
119.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
119.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
118.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
118.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
118.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
117.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
116.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
116.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
116.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
116.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
116.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
115.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
115.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
113.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
113.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
112.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
112.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
111.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
111.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
110.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
110.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
110.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
109.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
109.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
109.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
109.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
108.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
108.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
108.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
108.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
108.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
107.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
107.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
107.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
107.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
107.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
106.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
105.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
105.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
105.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
105.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
105.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
104.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
103.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
102.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
102.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
102.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
102.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
102.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
102.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
101.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
100.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
99.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
98.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
97.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
97.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
96.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
96.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
95.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
95.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
95.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
94.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
93.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
93.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
93.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
93.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
93.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
92.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
92.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
92.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
92.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
91.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
90.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
90.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
90.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
89.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
89.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
88.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
88.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
87.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
87.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
86.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
85.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
83.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
83.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
83.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
82.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
82.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
81.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
79.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
79.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
79.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
78.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
77.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
77.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
77.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
74.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
74.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
73.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
69.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
69.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
69.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
67.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
66.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
65.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
64.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
61.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
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Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
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Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
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Tumor
0.0
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Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
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Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-2.5
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.