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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.
SPINT1 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
125.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
581.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
283.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
280.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
271.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
267.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
257.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
244.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
243.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
243.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
241.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
239.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
236.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
233.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
220.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
214.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
212.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
207.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
207.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
207.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
203.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
199.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
198.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
198.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
194.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
192.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
190.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
189.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
188.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
188.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
187.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
184.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
180.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
179.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
178.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
177.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
176.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
176.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
175.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
174.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
174.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
173.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
172.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
169.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
167.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
165.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
164.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
164.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
164.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
164.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
163.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
160.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
156.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
154.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
154.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
154.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
154.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
154.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
153.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
153.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
151.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
151.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
151.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
150.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
149.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
149.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
148.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
148.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
147.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
147.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
147.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
145.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
145.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
145.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
144.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
143.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
143.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
142.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
141.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
141.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
141.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
140.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
139.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
139.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
139.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
138.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
137.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
137.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
137.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
135.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
135.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
135.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
134.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
134.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
133.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
132.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
132.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
131.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
131.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
131.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
131.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
130.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
129.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
127.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
127.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
127.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
126.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
126.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
125.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
125.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
124.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
124.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
124.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
123.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
122.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
122.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
121.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
121.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
121.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
120.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
120.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
120.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
120.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
120.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
119.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
118.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
118.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
118.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
118.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
117.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
116.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
116.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
115.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
115.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
114.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
113.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
112.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
112.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
112.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
111.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
111.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
111.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
110.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
110.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
110.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
109.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
108.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
108.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
108.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
107.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
107.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
107.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
107.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
106.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
106.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
105.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
105.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
104.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
103.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
102.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
102.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
102.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
101.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
101.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
101.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
100.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
100.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
99.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
99.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
98.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
98.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
97.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
97.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
96.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
96.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
96.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
96.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
96.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
95.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
92.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
92.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
91.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
91.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
89.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
88.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
87.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
87.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
86.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
86.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
85.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
85.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
84.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
82.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
82.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
82.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
81.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
81.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
81.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
80.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
80.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
79.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
79.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
79.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
78.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
78.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
78.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
78.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
77.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
76.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
76.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
75.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
75.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
75.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
75.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
75.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
74.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
73.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
73.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
72.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
72.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
70.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
69.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
66.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
66.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
63.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
62.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
59.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
56.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
50.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
45.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
44.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
39.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 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.
SPINT1 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
98.7
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
286.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
257.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
225.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
203.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
201.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
201.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
184.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
181.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
174.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
173.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
173.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
172.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
172.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
171.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
170.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
170.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
170.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
169.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
169.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
168.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
167.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
166.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
165.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
164.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
163.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
163.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
163.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
161.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
158.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
158.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
158.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
157.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
156.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
154.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
154.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
150.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
150.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
150.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
148.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
148.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
148.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
148.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
145.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
144.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
144.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
143.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
143.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
142.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
141.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
141.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
141.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
140.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
140.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
139.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
139.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
139.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
139.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
138.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
138.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
137.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
137.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
137.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
137.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
136.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
136.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
135.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
135.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
134.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
134.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
133.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
133.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
133.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
132.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
131.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
130.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
130.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
130.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
129.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
128.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
128.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
128.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
128.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
127.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
127.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
126.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
126.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
126.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
126.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
126.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
125.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
125.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
124.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
124.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
124.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
124.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
123.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
123.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
123.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
122.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
122.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
121.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
121.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
120.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
120.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
119.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
118.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
118.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
118.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
118.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
117.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
117.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
117.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
117.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
116.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
116.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
115.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
115.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
115.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
115.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
115.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
115.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
114.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
114.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
114.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
114.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
113.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
113.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
113.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
112.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
112.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
112.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
112.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
112.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
112.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
112.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
111.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
111.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
111.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
111.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
111.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
111.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
110.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
110.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
110.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
110.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
110.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
109.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
109.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
109.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
108.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
108.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
108.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
108.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
108.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
108.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
108.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
108.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
108.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
107.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
107.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
107.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
107.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
107.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
107.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
107.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
107.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
107.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
107.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
106.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
106.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
106.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
105.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
105.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
105.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
105.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
104.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
104.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
104.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
104.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
103.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
103.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
103.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
103.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
103.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
102.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
102.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
102.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
102.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
102.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
102.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
102.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
101.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
101.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
101.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
100.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
100.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
100.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
99.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
99.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
99.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
99.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
99.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
98.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
98.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
97.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
97.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
97.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
97.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
96.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
96.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
96.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
96.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
96.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
95.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
95.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
95.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
95.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
95.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
95.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
95.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
95.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
95.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
94.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
94.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
93.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
93.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
93.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
93.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
92.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
92.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
92.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
92.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
92.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
91.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
91.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
91.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
91.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
91.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
91.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
90.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
90.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
90.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
90.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
90.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
89.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
89.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
89.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
89.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
89.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
89.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
89.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
89.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
89.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
88.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
88.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
88.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
88.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
88.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
88.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
88.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
88.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
87.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
87.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
87.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
87.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
87.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
87.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
87.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
86.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
86.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
86.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
86.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
86.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
86.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
86.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
86.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
86.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
86.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
85.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
85.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
85.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
84.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
84.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
84.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
84.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
84.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
84.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
84.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
84.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
83.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
83.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
83.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
83.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
82.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
82.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
82.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
82.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
82.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
82.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
82.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
82.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
82.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
82.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
82.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
81.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
81.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
81.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
80.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
80.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
80.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
79.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
79.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
79.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
79.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
78.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
78.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
78.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
78.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
77.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
77.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
77.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
76.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
75.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
75.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
74.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
74.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
74.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
74.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
74.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
73.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
73.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
73.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
73.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
73.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
73.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
73.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
73.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
73.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
72.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
72.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
72.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
71.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
71.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
70.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
70.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
70.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
70.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
69.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
69.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
69.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
68.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
68.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
67.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
67.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
67.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
66.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
66.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
66.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
63.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
62.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
61.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
60.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
60.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
59.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
58.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
52.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
10.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
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.
SPINT1 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
114.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
251.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
216.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
204.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
204.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
202.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
191.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
189.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
181.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
177.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
166.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
164.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
157.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
149.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
146.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
145.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
144.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
142.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
141.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
140.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
139.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
138.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
136.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
134.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
131.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
129.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
129.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
129.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
128.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
127.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
127.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
126.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
126.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
126.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
125.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
122.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
121.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
120.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
118.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
116.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
116.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
115.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
113.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
113.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
113.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
110.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
110.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
110.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
109.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
106.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
105.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
104.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
102.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
100.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
100.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
97.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
96.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
96.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
91.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
90.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
89.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
89.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
88.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
88.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
83.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
83.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
82.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
82.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
79.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
76.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
73.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
67.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
65.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
64.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
64.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
63.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
56.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
47.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
46.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
46.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.1
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.
SPINT1 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
84.8
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
194.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
175.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
167.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
163.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
150.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
145.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
144.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
143.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
139.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
129.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
127.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
126.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
125.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
124.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
124.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
120.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
120.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
118.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
118.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
118.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
118.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
117.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
116.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
116.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
116.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
115.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
115.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
113.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
112.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
110.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
110.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
110.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
109.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
109.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
108.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
107.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
107.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
107.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
106.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
106.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
105.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
105.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
105.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
104.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
104.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
104.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
103.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
102.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
102.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
102.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
101.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
100.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
100.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
100.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
98.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
98.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
98.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
97.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
96.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
95.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
95.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
95.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
94.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
93.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
93.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
92.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
92.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
92.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
92.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
91.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
91.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
90.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
90.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
89.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
89.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
89.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
88.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
88.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
87.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
87.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
86.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
86.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
86.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
86.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
85.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
84.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
84.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
84.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
83.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
83.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
83.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
83.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
82.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
82.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
82.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
82.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
81.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
81.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
81.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
80.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
80.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
79.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
79.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
79.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
78.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
78.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
78.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
78.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
77.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
77.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
77.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
74.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
74.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
74.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
74.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
73.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
71.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
71.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
71.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
67.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
67.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
66.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
66.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
65.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
65.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
65.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
64.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
64.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
63.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
63.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
62.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
62.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
61.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
60.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
60.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
60.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
59.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
59.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
59.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
59.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
59.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
58.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
57.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
55.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
47.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
46.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
45.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
41.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
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Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
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Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
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Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
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Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
