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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.
YWHAH 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
124.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
313.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
274.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
259.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
231.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
227.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
222.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
218.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
213.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
209.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
208.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
206.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
206.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
201.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
195.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
195.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
195.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
190.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
184.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
181.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
178.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
176.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
175.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
173.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
173.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
173.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
173.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
172.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
169.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
167.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
167.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
167.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
166.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
166.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
166.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
166.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
165.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
165.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
165.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
165.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
165.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
162.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
162.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
161.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
160.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
160.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
160.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
160.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
159.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
159.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
159.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
158.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
158.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
158.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
157.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
156.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
156.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
155.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
154.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
151.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
149.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
149.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
148.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
148.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
147.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
147.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
147.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
147.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
147.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
147.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
146.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
146.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
144.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
144.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
144.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
144.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
143.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
143.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
142.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
140.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
140.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
140.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
139.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
139.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
138.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
138.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
137.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
136.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
136.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
135.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
135.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
135.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
135.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
135.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
134.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
134.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
133.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
133.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
133.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
133.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
132.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
132.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
132.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
132.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
131.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
131.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
131.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
130.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
130.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
129.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
128.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
128.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
128.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
127.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
126.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
125.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
125.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
125.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
125.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
124.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
124.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
124.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
124.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
123.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
122.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
121.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
121.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
120.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
120.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
119.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
119.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
118.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
118.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
118.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
117.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
116.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
115.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
114.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
111.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
111.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
110.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
110.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
110.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
109.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
109.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
109.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
109.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
109.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
108.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
108.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
107.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
107.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
107.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
107.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
107.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
106.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
106.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
105.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
105.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
105.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
104.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
104.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
104.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
104.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
104.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
104.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
102.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
102.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
102.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
102.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
101.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
101.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
101.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
100.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
100.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
99.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
99.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
98.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
98.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
98.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
97.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
97.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
96.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
96.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
96.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
95.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
95.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
95.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
95.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
95.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
94.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
94.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
94.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
94.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
93.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
93.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
93.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
90.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
90.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
90.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
89.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
89.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
88.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
88.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
88.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
87.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
86.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
85.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
85.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
85.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
84.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
84.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
84.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
81.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
81.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
81.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
79.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
79.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
78.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
77.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
76.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
76.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
76.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
75.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
75.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
75.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
75.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
74.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
74.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
71.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
70.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
69.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
68.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
65.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
65.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
61.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
60.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
57.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
56.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
56.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
54.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
54.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
YWHAH 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
136.0
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
286.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
246.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
244.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
244.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
241.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
240.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
233.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
232.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
232.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
228.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
218.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
217.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
215.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
212.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
210.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
206.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
206.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
205.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
204.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
204.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
202.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
201.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
199.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
199.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
198.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
197.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
197.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
196.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
195.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
194.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
194.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
193.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
192.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
192.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
192.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
191.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
190.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
189.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
189.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
189.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
187.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
186.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
185.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
184.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
184.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
184.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
184.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
184.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
183.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
183.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
183.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
182.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
182.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
181.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
181.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
181.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
180.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
179.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
179.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
179.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
178.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
178.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
177.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
176.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
175.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
175.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
174.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
174.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
174.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
174.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
173.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
173.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
172.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
171.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
171.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
169.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
169.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
167.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
167.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
167.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
167.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
167.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
166.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
166.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
166.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
166.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
166.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
166.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
166.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
165.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
165.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
165.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
164.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
163.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
163.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
162.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
162.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
162.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
162.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
162.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
162.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
162.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
161.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
161.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
161.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
161.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
160.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
160.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
159.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
159.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
159.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
159.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
159.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
159.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
158.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
158.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
158.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
158.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
158.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
158.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
158.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
158.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
157.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
157.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
157.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
157.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
157.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
156.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
156.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
156.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
156.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
155.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
155.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
155.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
154.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
154.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
154.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
154.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
154.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
154.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
154.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
153.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
153.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
153.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
153.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
153.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
153.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
152.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
152.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
152.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
151.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
151.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
150.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
150.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
150.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
150.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
149.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
149.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
149.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
149.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
149.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
149.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
149.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
148.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
148.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
148.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
147.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
147.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
147.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
147.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
147.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
147.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
146.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
145.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
145.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
145.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
145.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
145.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
144.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
144.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
144.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
144.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
144.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
144.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
144.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
144.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
143.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
143.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
143.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
143.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
143.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
143.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
143.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
143.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
142.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
142.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
142.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
141.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
141.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
141.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
141.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
141.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
141.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
140.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
140.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
140.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
140.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
140.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
140.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
140.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
140.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
140.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
139.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
139.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
139.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
138.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
138.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
138.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
138.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
138.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
137.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
137.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
137.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
137.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
137.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
137.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
137.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
137.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
136.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
136.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
135.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
135.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
135.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
135.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
134.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
134.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
134.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
134.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
134.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
134.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
134.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
134.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
134.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
133.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
133.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
133.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
132.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
132.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
132.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
132.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
132.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
132.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
131.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
131.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
131.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
131.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
131.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
131.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
131.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
131.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
131.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
130.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
130.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
130.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
130.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
130.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
129.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
129.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
129.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
129.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
129.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
128.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
128.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
128.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
128.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
128.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
128.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
128.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
128.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
128.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
127.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
127.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
126.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
126.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
126.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
126.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
126.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
126.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
126.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
125.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
125.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
125.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
125.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
125.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
125.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
125.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
124.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
124.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
124.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
123.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
123.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
123.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
123.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
123.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
123.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
122.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
122.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
122.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
122.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
121.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
121.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
121.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
121.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
121.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
120.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
120.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
120.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
120.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
120.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
119.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
119.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
119.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
119.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
118.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
118.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
118.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
117.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
117.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
117.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
117.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
117.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
117.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
117.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
116.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
116.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
116.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
115.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
115.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
115.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
115.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
115.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
115.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
114.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
114.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
114.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
114.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
114.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
114.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
113.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
113.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
113.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
112.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
111.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
110.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
110.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
110.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
110.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
110.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
110.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
110.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
110.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
109.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
109.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
109.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
109.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
109.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
108.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
108.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
108.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
108.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
108.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
108.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
108.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
108.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
107.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
107.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
107.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
107.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
107.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
107.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
107.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
106.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
106.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
106.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
106.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
105.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
105.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
104.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
103.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
103.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
102.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
102.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
102.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
102.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
101.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
101.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
101.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
101.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
100.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
100.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
100.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
99.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
99.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
99.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
99.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
99.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
99.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
98.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
98.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
98.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
98.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
98.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
98.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
97.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
97.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
96.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
96.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
96.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
96.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
95.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
94.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
94.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
94.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
94.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
93.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
93.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
93.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
92.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
91.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
91.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
91.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
91.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
91.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
91.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
91.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
90.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
90.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
90.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
89.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
88.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
87.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
87.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
87.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
87.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
86.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
86.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
83.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
83.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
83.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
82.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
82.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
82.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
82.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
82.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
81.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
78.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
78.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
76.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
74.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
73.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
73.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
72.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
68.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
66.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YWHAH 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
120.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
218.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
203.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
195.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
191.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
188.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
180.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
180.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
176.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
171.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
171.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
168.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
167.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
167.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
164.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
162.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
161.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
157.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
154.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
154.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
150.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
150.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
148.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
146.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
146.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
146.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
145.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
143.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
142.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
141.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
138.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
137.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
136.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
130.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
130.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
128.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
128.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
126.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
126.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
124.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
123.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
123.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
122.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
121.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
120.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
120.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
118.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
116.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
113.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
111.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
110.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
110.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
109.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
105.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
104.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
104.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
104.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
104.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
101.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
98.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
97.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
95.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
95.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
94.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
93.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
92.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
90.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
90.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
87.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
86.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
86.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
85.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
84.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
84.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
80.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
77.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
77.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
74.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
71.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
61.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
49.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
YWHAH 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
123.6
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
258.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
246.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
233.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
225.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
212.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
204.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
201.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
196.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
193.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
192.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
190.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
189.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
187.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
186.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
185.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
184.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
183.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
180.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
179.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
179.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
175.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
171.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
170.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
170.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
165.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
164.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
164.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
162.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
161.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
159.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
158.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
156.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
155.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
155.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
154.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
151.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
151.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
150.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
149.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
148.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
147.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
146.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
146.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
145.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
145.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
145.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
145.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
145.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
144.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
144.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
144.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
143.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
143.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
143.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
142.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
141.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
140.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
139.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
139.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
138.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
137.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
136.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
136.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
136.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
135.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
135.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
135.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
135.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
134.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
134.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
134.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
134.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
133.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
133.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
132.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
132.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
131.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
131.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
131.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
131.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
130.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
130.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
129.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
129.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
129.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
129.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
129.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
128.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
127.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
126.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
126.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
125.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
125.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
124.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
124.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
124.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
124.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
123.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
123.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
122.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
122.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
122.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
121.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
121.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
119.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
119.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
119.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
118.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
118.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
118.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
118.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
118.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
117.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
116.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
116.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
116.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
115.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
115.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
114.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
113.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
113.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
113.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
113.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
112.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
111.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
111.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
109.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
109.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
107.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
107.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
107.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
106.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
105.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
105.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
104.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
104.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
104.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
103.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
103.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
103.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
103.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
103.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
102.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
102.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
102.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
102.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
100.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
100.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
100.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
99.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
99.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
99.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
99.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
99.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
99.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
97.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
96.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
96.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
95.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
95.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
94.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
94.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
94.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
91.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
91.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
90.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
90.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
89.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
89.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
88.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
88.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
88.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
86.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
86.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
85.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
85.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
85.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
84.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
83.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
83.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
82.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
82.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
82.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
81.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
81.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
80.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
80.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
80.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
79.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
78.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
77.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
77.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
76.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
73.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
73.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
68.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
65.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
63.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
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Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
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Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
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Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
