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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.
GGH 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
128.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
598.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
587.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
473.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
394.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
390.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
381.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
379.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
379.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
375.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
366.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
349.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
345.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
333.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
320.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
316.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
314.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
303.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
302.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
298.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
291.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
290.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
290.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
282.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
277.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
271.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
269.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
266.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
262.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
261.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
252.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
248.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
240.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
238.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
236.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
231.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
225.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
218.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
214.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
211.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
206.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
204.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
202.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
201.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
200.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
200.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
199.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
198.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
196.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
192.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
190.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
190.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
190.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
186.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
185.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
185.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
184.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
184.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
182.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
181.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
180.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
178.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
178.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
176.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
176.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
176.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
175.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
175.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
174.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
173.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
169.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
166.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
164.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
163.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
162.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
158.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
157.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
155.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
150.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
146.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
144.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
144.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
143.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
140.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
137.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
137.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
135.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
135.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
133.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
133.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
132.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
130.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
127.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
127.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
126.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
126.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
126.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
125.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
125.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
125.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
124.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
120.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
120.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
119.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
118.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
117.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
116.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
116.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
116.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
116.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
114.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
113.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
112.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
112.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
111.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
110.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
110.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
110.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
110.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
110.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
110.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
108.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
107.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
105.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
105.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
103.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
103.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
102.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
98.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
97.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
97.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
96.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
96.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
96.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
95.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
95.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
94.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
93.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
93.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
92.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
92.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
91.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
91.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
91.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
91.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
90.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
89.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
86.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
84.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
83.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
83.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
82.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
81.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
79.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
79.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
75.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
75.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
75.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
71.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
69.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
68.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
67.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
67.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
65.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
65.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
65.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
61.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
60.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
57.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
57.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
57.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
56.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
54.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
53.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
50.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
50.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
50.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
49.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
49.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
48.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
45.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
43.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
42.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
40.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
39.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
39.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
39.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
28.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
23.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 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.
GGH 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
58.4
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
322.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
296.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
294.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
260.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
241.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
235.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
227.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
217.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
205.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
205.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
192.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
190.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
185.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
182.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
175.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
169.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
167.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
166.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
166.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
159.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
155.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
155.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
154.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
153.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
153.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
147.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
147.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
143.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
139.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
138.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
137.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
132.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
130.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
128.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
126.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
121.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
121.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
119.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
117.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
116.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
116.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
115.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
115.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
114.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
113.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
113.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
112.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
112.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
112.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
111.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
111.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
110.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
110.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
109.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
109.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
108.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
107.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
107.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
104.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
104.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
104.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
104.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
104.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
103.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
102.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
99.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
98.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
97.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
96.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
94.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
94.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
93.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
92.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
92.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
92.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
91.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
89.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
89.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
89.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
88.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
88.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
88.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
87.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
87.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
87.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
87.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
87.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
86.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
84.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
83.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
83.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
82.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
82.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
81.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
78.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
78.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
76.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
75.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
75.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
75.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
74.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
74.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
74.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
73.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
72.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
72.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
72.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
71.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
71.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
70.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
70.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
70.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
69.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
68.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
67.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
66.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
66.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
65.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
65.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
63.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
63.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
62.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
62.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
59.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
59.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
58.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
55.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
53.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
52.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
50.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
46.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
41.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
41.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
38.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
36.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
35.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
35.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
34.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
34.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
33.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
32.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
32.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
32.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
31.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
29.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
29.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
28.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
28.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
28.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
28.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
27.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
27.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
25.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
25.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
25.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
25.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
24.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
24.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
24.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
24.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
23.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
23.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
23.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
23.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
23.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
23.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
22.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
22.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
22.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
22.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
21.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
21.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
21.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
20.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
20.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
20.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
20.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
20.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
20.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
20.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
20.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
19.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
19.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
19.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
18.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
18.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
18.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
18.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
18.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
18.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
18.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
18.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
18.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
18.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
17.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
17.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
17.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
17.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
17.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
17.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
16.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
16.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
16.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
16.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
15.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
15.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
15.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
15.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
15.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
15.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
13.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
13.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
13.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
12.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
12.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
11.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
11.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
11.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
10.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
10.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
10.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
10.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
9.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
9.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
8.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
8.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
8.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
6.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
6.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
5.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
1.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 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.
GGH 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
168.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
617.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
490.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
450.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
449.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
390.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
359.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
332.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
321.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
308.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
303.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
300.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
276.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
272.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
248.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
247.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
245.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
240.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
240.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
232.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
231.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
223.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
216.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
213.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
209.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
208.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
202.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
200.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
190.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
183.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
179.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
178.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
176.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
176.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
176.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
176.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
173.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
172.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
171.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
169.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
167.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
160.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
157.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
156.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
155.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
154.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
151.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
148.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
147.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
132.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
129.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
126.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
125.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
125.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
123.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
121.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
120.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
119.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
117.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
114.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
111.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
106.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
101.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
89.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
87.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
77.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
77.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
74.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
74.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
69.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
63.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
GGH 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
60.7
Number of samples
207
Samples
Sample
Description
TPM
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
206.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
186.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
181.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
175.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
161.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
158.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
158.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
157.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
139.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
136.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
132.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
132.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
128.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
127.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
127.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
127.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
122.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
120.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
119.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
119.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
119.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
118.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
113.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
112.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
110.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
107.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
106.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
104.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
102.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
100.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
98.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
94.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
93.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
93.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
91.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
90.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
87.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
85.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
85.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
83.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
83.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
81.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
80.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
80.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
78.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
77.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
77.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
76.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
75.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
75.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
72.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
71.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
69.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
68.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
66.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
64.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
60.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
59.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
58.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
57.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
57.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
53.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
53.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
50.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
30.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
24.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
17.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
16.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
13.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
13.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
10.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
9.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
6.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
0.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
3.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
1.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.9
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.7
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.