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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.
LGALS9 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
108.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
352.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
313.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
268.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
234.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
222.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
208.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
208.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
204.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
201.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
199.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
196.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
189.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
189.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
189.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
188.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
187.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
186.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
186.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
182.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
182.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
181.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
176.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
175.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
174.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
170.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
168.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
168.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
167.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
167.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
167.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
166.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
166.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
166.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
166.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
166.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
163.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
163.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
162.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
162.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
161.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
154.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
154.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
153.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
152.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
152.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
151.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
149.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
148.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
148.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
148.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
148.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
147.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
146.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
145.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
143.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
143.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
143.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
143.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
143.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
142.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
140.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
140.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
140.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
139.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
139.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
139.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
138.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
138.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
136.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
134.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
134.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
132.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
131.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
130.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
129.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
129.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
129.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
129.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
128.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
127.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
127.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
126.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
126.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
125.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
124.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
124.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
124.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
123.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
122.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
122.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
121.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
121.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
120.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
119.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
119.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
119.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
119.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
119.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
118.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
117.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
117.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
117.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
117.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
117.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
116.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
116.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
116.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
114.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
113.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
113.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
113.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
112.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
112.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
110.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
110.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
110.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
109.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
109.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
109.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
106.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
106.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
106.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
106.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
106.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
106.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
105.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
105.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
105.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
105.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
104.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
103.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
103.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
103.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
103.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
103.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
102.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
101.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
100.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
100.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
100.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
99.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
99.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
97.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
96.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
96.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
96.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
95.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
95.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
92.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
92.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
91.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
90.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
90.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
88.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
88.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
87.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
87.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
87.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
87.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
85.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
85.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
85.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
84.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
83.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
81.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
80.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
79.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
79.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
79.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
79.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
78.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
77.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
77.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
76.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
76.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
75.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
74.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
74.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
73.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
73.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
73.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
72.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
72.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
70.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
70.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
69.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
68.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
63.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
63.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
62.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
59.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
59.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
57.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
54.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
53.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
53.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
51.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
49.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
48.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
48.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
46.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
44.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
44.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
25.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
LGALS9 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
91.4
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
341.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
268.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
259.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
236.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
230.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
199.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
197.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
194.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
187.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
187.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
187.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
185.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
182.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
177.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
175.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
175.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
173.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
172.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
170.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
169.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
169.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
163.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
161.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
157.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
157.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
156.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
156.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
154.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
153.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
153.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
153.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
152.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
151.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
151.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
149.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
149.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
148.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
147.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
144.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
144.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
144.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
144.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
143.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
142.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
142.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
142.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
142.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
141.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
141.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
140.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
139.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
139.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
138.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
137.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
137.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
137.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
136.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
136.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
135.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
135.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
135.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
135.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
134.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
134.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
133.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
133.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
133.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
133.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
132.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
131.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
131.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
130.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
129.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
129.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
128.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
127.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
127.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
126.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
126.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
126.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
125.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
125.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
125.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
125.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
124.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
123.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
123.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
123.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
122.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
122.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
122.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
122.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
122.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
122.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
121.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
121.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
121.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
120.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
120.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
120.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
120.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
119.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
119.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
119.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
119.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
119.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
118.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
118.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
118.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
118.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
118.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
117.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
117.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
117.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
117.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
117.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
117.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
116.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
116.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
116.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
116.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
115.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
114.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
114.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
112.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
112.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
112.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
112.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
112.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
112.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
111.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
111.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
111.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
111.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
111.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
111.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
111.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
111.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
111.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
111.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
110.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
110.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
110.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
110.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
109.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
108.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
108.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
108.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
107.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
107.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
107.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
107.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
106.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
106.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
105.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
105.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
105.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
105.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
105.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
104.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
104.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
104.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
103.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
103.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
103.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
103.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
102.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
102.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
102.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
102.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
101.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
101.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
100.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
100.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
100.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
100.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
100.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
100.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
99.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
99.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
99.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
99.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
99.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
98.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
98.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
98.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
98.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
98.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
98.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
97.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
97.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
97.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
97.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
96.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
96.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
95.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
95.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
95.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
95.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
95.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
95.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
94.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
94.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
94.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
94.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
94.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
93.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
92.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
92.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
92.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
91.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
91.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
91.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
90.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
90.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
89.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
89.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
89.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
89.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
88.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
88.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
87.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
87.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
87.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
87.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
86.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
86.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
86.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
86.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
86.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
86.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
86.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
86.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
85.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
85.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
85.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
85.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
85.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
84.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
84.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
84.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
84.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
84.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
83.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
83.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
83.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
83.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
83.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
83.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
82.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
82.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
82.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
82.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
82.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
82.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
81.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
81.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
81.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
79.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
79.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
79.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
79.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
79.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
78.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
78.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
78.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
78.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
78.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
78.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
78.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
77.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
77.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
77.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
77.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
77.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
76.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
76.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
75.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
75.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
75.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
75.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
74.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
74.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
73.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
73.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
73.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
73.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
72.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
72.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
71.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
70.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
70.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
70.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
69.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
69.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
68.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
68.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
67.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
67.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
67.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
67.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
67.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
65.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
65.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
64.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
62.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
62.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
60.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
59.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
57.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
54.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
52.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
52.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
39.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
34.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
24.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
23.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
19.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
14.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
13.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
LGALS9 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
88.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
288.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
201.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
194.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
193.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
180.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
160.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
148.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
148.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
143.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
142.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
140.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
137.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
135.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
127.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
125.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
125.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
124.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
124.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
122.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
119.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
116.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
113.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
113.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
113.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
104.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
102.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
102.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
101.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
100.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
99.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
99.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
98.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
96.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
96.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
95.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
93.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
92.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
91.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
91.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
90.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
87.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
86.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
85.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
84.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
78.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
76.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
73.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
72.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
72.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
70.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
69.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
68.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
68.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
60.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
60.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
56.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
51.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
48.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
40.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
38.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
10.7
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.
LGALS9 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
71.2
Number of samples
207
Samples
Sample
Description
TPM
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
173.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
164.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
155.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
143.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
142.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
135.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
134.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
133.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
132.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
131.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
126.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
124.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
123.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
119.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
119.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
118.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
118.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
116.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
115.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
115.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
114.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
113.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
113.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
111.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
111.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
110.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
110.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
110.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
109.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
106.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
105.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
104.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
104.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
100.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
98.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
96.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
96.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
95.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
94.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
94.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
93.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
92.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
91.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
91.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
91.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
89.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
89.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
89.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
89.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
87.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
87.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
86.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
86.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
86.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
84.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
84.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
83.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
82.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
82.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
81.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
81.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
80.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
80.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
79.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
79.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
79.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
78.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
78.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
78.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
77.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
77.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
77.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
76.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
75.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
75.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
75.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
73.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
72.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
72.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
71.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
70.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
67.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
67.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
67.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
66.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
66.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
64.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
64.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
60.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
59.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
59.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
58.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
58.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
58.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
56.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
55.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
54.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
29.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
19.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
17.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
9.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
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
