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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.
CD47 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
141.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
369.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
335.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
318.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
309.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
290.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
285.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
284.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
279.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
277.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
270.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
269.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
267.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
261.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
254.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
254.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
242.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
233.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
230.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
227.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
227.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
224.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
221.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
220.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
220.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
219.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
217.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
215.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
214.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
211.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
209.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
208.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
208.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
206.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
205.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
203.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
198.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
197.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
195.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
194.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
194.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
193.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
191.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
189.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
189.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
189.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
188.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
186.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
186.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
184.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
183.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
183.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
182.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
181.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
180.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
180.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
179.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
178.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
177.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
176.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
174.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
172.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
171.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
171.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
170.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
169.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
167.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
167.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
166.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
166.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
166.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
166.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
165.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
163.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
163.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
161.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
159.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
158.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
157.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
157.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
157.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
157.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
156.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
156.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
154.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
154.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
153.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
152.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
152.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
152.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
151.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
151.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
151.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
150.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
150.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
150.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
149.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
149.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
149.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
147.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
146.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
145.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
144.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
144.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
144.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
143.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
143.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
143.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
143.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
142.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
141.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
141.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
140.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
139.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
138.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
138.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
137.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
135.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
134.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
134.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
134.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
133.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
133.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
133.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
133.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
133.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
132.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
132.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
130.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
130.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
130.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
129.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
127.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
127.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
127.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
126.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
126.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
126.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
125.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
123.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
123.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
123.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
123.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
122.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
122.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
121.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
120.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
120.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
120.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
120.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
119.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
118.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
118.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
117.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
117.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
116.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
116.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
115.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
115.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
115.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
114.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
114.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
113.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
113.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
113.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
112.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
112.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
111.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
111.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
110.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
110.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
109.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
109.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
108.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
106.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
105.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
104.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
104.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
103.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
102.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
101.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
101.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
101.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
101.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
100.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
97.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
97.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
97.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
96.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
96.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
96.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
95.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
95.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
94.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
94.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
93.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
93.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
91.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
91.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
91.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
89.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
89.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
88.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
88.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
88.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
88.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
87.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
86.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
84.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
84.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
84.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
84.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
83.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
83.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
83.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
82.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
82.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
82.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
82.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
81.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
81.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
81.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
80.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
80.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
80.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
78.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
78.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
78.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
76.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
74.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
74.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
73.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
73.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
71.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
71.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
70.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
64.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
55.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 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.
CD47 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
114.0
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
320.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
302.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
271.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
270.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
261.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
252.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
243.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
234.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
232.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
230.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
227.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
225.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
215.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
213.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
213.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
211.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
198.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
198.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
198.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
197.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
195.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
195.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
195.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
193.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
187.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
185.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
183.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
181.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
181.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
181.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
179.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
178.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
177.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
177.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
174.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
173.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
172.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
171.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
171.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
171.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
170.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
169.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
168.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
168.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
167.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
167.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
167.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
165.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
165.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
163.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
162.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
161.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
160.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
160.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
159.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
158.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
158.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
158.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
157.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
157.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
157.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
156.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
155.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
154.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
154.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
154.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
153.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
153.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
153.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
153.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
151.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
151.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
150.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
150.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
150.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
149.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
148.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
148.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
146.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
146.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
146.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
146.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
145.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
145.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
144.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
144.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
143.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
143.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
143.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
142.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
140.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
140.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
140.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
139.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
139.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
139.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
138.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
138.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
137.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
137.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
137.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
135.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
135.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
134.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
134.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
134.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
133.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
133.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
133.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
133.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
132.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
132.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
132.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
132.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
131.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
131.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
131.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
131.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
130.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
130.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
130.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
129.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
129.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
129.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
128.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
128.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
128.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
128.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
127.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
127.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
127.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
127.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
127.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
127.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
126.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
126.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
126.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
126.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
126.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
126.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
125.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
125.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
125.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
125.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
124.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
124.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
124.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
123.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
123.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
123.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
123.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
123.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
123.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
123.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
122.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
121.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
121.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
121.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
121.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
121.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
121.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
121.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
121.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
121.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
120.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
120.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
120.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
119.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
118.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
118.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
118.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
118.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
118.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
117.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
117.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
117.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
117.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
117.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
117.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
117.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
117.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
117.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
116.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
116.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
116.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
116.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
116.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
116.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
116.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
115.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
115.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
115.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
115.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
114.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
114.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
114.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
114.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
114.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
114.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
114.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
114.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
113.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
113.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
113.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
113.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
112.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
112.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
112.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
112.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
112.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
112.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
111.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
111.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
111.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
111.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
111.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
111.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
111.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
111.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
111.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
110.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
110.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
110.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
110.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
110.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
109.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
109.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
109.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
108.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
108.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
108.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
108.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
107.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
107.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
107.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
107.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
106.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
106.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
106.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
106.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
106.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
105.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
105.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
105.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
105.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
105.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
105.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
105.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
104.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
104.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
104.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
104.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
103.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
103.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
103.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
102.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
102.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
102.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
102.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
102.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
102.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
102.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
101.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
101.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
101.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
101.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
101.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
101.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
101.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
100.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
100.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
100.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
100.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
100.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
100.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
100.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
100.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
99.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
99.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
99.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
99.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
99.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
98.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
98.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
98.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
98.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
98.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
98.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
98.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
98.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
98.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
97.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
97.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
97.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
97.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
97.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
97.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
97.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
97.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
97.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
96.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
96.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
96.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
96.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
96.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
96.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
95.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
95.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
95.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
95.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
95.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
95.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
94.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
94.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
94.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
94.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
94.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
94.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
94.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
94.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
93.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
93.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
93.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
93.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
93.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
93.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
93.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
92.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
92.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
92.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
92.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
92.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
92.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
91.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
91.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
91.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
91.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
91.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
91.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
91.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
91.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
91.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
90.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
90.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
90.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
90.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
89.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
89.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
89.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
89.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
88.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
88.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
88.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
88.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
87.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
87.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
87.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
87.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
87.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
87.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
87.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
87.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
86.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
86.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
86.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
85.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
85.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
85.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
85.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
85.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
85.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
85.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
85.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
84.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
84.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
84.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
84.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
84.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
83.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
83.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
83.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
83.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
82.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
82.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
82.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
82.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
81.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
81.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
81.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
79.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
78.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
78.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
78.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
78.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
78.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
77.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
77.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
77.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
77.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
76.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
76.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
76.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
75.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
75.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
74.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
74.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
72.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
72.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
71.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
71.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
71.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
70.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
70.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
70.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
70.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
69.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
69.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
65.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
65.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
63.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
58.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
51.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.0
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.
CD47 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
141.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
322.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
289.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
286.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
252.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
245.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
244.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
240.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
238.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
237.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
229.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
227.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
224.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
224.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
215.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
210.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
210.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
204.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
196.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
193.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
187.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
175.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
175.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
173.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
169.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
167.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
162.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
161.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
157.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
154.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
154.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
149.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
145.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
144.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
142.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
139.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
139.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
139.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
136.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
136.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
136.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
135.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
135.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
133.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
133.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
131.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
131.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
124.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
122.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
121.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
120.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
120.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
113.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
113.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
112.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
109.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
109.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
108.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
106.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
104.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
104.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
102.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
102.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
99.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
96.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
95.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
95.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
94.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
92.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
92.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
89.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
89.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
87.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
86.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
82.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
81.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
79.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
78.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
78.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
77.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
74.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
67.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
CD47 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
104.8
Number of samples
207
Samples
Sample
Description
TPM
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
242.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
210.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
195.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
187.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
179.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
176.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
173.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
169.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
164.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
159.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
157.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
152.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
151.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
151.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
151.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
150.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
149.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
149.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
146.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
145.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
142.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
142.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
141.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
139.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
137.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
136.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
136.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
135.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
134.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
134.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
134.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
133.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
132.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
132.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
131.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
130.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
128.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
128.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
127.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
127.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
127.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
126.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
126.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
126.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
124.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
124.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
123.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
122.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
122.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
122.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
121.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
121.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
121.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
120.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
119.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
119.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
118.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
118.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
117.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
116.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
116.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
116.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
116.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
115.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
115.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
114.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
114.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
113.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
113.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
113.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
112.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
112.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
112.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
112.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
111.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
111.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
111.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
110.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
110.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
109.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
109.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
109.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
108.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
108.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
107.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
107.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
107.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
107.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
106.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
106.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
105.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
105.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
105.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
105.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
104.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
104.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
104.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
104.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
104.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
102.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
102.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
101.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
101.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
100.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
100.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
99.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
99.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
98.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
98.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
98.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
98.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
98.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
96.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
96.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
95.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
95.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
94.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
94.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
93.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
92.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
91.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
91.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
91.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
90.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
89.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
89.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
89.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
89.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
89.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
88.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
88.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
88.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
88.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
87.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
87.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
87.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
86.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
86.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
86.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
86.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
86.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
86.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
86.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
85.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
85.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
85.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
84.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
84.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
84.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
83.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
83.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
82.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
82.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
81.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
81.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
80.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
79.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
79.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
78.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
78.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
77.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
77.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
77.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
77.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
76.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
75.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
75.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
74.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
74.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
74.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
73.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
71.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
71.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
71.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
71.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
71.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
71.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
71.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
70.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
67.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
58.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
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Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
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Normal
0.3
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Normal
0.3
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Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Normal
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
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Normal
0.2
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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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Normal
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
0.2
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Normal
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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Normal
0.2
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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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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
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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
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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
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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
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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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Tumor
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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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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Normal
0.1
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Normal
0.1
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Normal
0.1
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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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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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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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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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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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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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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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Tumor
0.0
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Normal
0.0
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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
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Tumor
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Tumor
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Tumor
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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
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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
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.1
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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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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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.5
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Tumor
-0.5
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Tumor
-0.6
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
