We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
GRINA 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
170.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
513.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
415.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
415.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
383.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
382.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
376.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
374.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
347.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
330.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
320.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
311.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
304.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
293.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
292.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
292.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
291.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
289.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
288.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
288.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
284.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
273.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
270.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
270.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
268.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
268.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
267.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
265.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
264.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
263.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
262.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
257.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
257.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
256.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
255.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
255.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
254.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
253.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
253.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
251.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
250.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
245.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
245.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
244.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
242.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
240.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
239.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
238.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
236.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
236.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
235.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
234.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
234.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
233.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
228.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
223.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
222.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
221.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
219.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
219.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
218.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
217.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
215.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
215.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
213.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
208.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
208.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
204.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
204.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
202.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
202.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
198.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
197.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
196.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
195.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
194.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
192.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
192.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
191.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
190.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
190.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
189.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
189.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
189.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
187.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
187.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
186.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
185.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
185.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
184.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
183.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
182.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
182.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
179.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
179.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
179.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
178.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
177.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
177.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
176.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
176.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
174.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
174.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
173.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
173.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
173.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
169.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
168.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
168.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
168.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
167.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
167.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
167.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
166.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
166.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
165.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
164.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
163.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
163.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
163.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
163.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
162.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
162.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
159.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
158.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
158.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
157.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
156.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
156.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
154.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
154.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
153.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
153.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
151.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
151.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
150.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
149.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
148.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
147.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
147.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
147.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
146.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
145.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
144.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
144.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
143.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
142.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
141.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
141.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
141.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
141.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
140.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
139.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
139.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
138.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
138.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
137.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
137.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
135.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
135.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
134.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
134.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
134.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
132.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
132.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
131.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
131.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
128.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
128.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
128.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
127.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
126.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
126.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
126.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
125.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
125.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
124.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
124.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
123.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
123.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
122.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
122.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
121.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
120.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
120.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
118.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
118.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
117.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
116.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
115.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
115.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
114.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
114.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
114.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
114.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
113.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
113.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
113.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
113.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
112.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
112.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
111.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
111.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
111.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
111.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
110.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
109.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
108.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
106.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
106.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
106.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
105.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
102.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
102.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
101.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
100.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
99.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
99.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
97.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
97.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
97.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
96.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
96.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
96.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
95.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
95.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
95.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
94.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
94.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
90.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
90.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
88.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
86.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
85.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
83.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
82.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
79.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
73.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
73.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
66.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
66.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
65.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
GRINA 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
150.7
Number of samples
486
Samples
Sample
Description
TPM
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
409.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
353.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
347.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
346.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
339.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
324.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
319.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
318.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
318.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
302.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
300.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
297.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
292.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
289.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
275.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
268.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
268.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
267.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
263.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
263.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
263.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
262.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
258.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
258.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
256.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
253.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
252.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
247.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
247.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
246.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
245.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
241.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
241.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
240.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
239.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
239.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
238.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
238.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
237.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
236.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
234.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
233.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
230.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
230.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
229.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
227.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
226.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
225.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
225.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
222.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
220.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
220.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
219.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
218.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
217.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
216.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
214.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
214.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
213.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
213.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
212.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
211.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
211.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
211.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
210.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
208.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
208.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
207.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
206.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
206.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
206.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
205.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
205.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
205.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
205.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
205.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
203.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
203.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
203.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
202.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
202.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
201.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
201.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
201.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
200.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
200.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
199.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
198.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
198.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
198.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
197.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
197.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
197.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
197.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
196.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
196.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
195.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
194.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
193.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
193.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
192.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
192.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
192.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
192.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
191.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
190.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
190.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
190.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
190.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
189.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
189.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
189.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
188.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
187.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
187.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
186.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
185.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
184.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
183.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
183.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
183.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
182.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
182.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
182.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
181.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
181.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
181.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
181.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
180.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
180.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
179.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
179.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
177.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
177.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
177.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
177.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
176.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
175.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
175.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
175.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
174.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
174.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
173.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
173.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
172.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
172.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
171.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
171.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
170.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
170.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
170.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
170.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
169.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
169.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
169.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
168.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
168.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
168.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
167.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
166.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
166.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
166.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
165.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
164.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
163.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
163.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
163.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
163.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
163.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
162.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
162.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
162.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
162.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
162.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
161.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
161.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
160.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
160.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
160.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
159.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
159.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
158.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
158.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
158.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
158.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
158.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
158.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
157.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
157.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
157.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
156.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
156.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
155.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
154.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
153.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
153.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
152.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
152.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
152.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
151.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
151.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
151.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
151.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
151.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
151.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
150.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
150.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
150.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
150.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
150.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
150.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
149.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
149.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
148.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
148.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
147.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
147.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
147.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
147.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
147.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
146.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
146.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
146.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
146.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
146.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
145.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
145.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
145.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
145.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
144.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
144.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
144.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
143.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
142.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
142.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
142.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
142.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
142.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
142.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
142.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
142.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
141.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
141.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
141.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
141.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
140.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
140.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
140.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
140.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
140.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
140.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
139.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
139.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
139.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
139.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
139.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
139.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
139.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
138.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
138.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
138.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
138.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
137.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
136.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
136.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
136.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
136.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
136.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
136.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
135.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
135.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
135.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
135.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
135.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
134.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
134.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
134.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
134.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
133.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
133.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
133.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
133.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
133.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
132.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
132.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
132.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
132.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
132.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
131.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
131.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
131.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
131.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
131.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
130.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
130.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
130.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
130.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
130.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
130.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
130.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
130.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
129.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
129.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
129.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
128.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
128.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
128.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
127.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
127.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
126.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
126.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
126.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
125.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
125.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
124.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
124.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
124.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
123.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
122.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
122.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
122.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
121.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
120.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
120.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
119.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
119.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
119.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
118.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
118.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
118.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
118.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
117.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
117.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
117.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
117.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
116.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
115.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
115.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
115.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
115.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
115.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
115.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
115.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
114.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
114.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
114.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
114.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
114.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
114.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
113.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
113.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
113.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
113.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
113.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
112.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
112.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
111.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
111.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
110.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
110.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
110.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
110.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
110.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
110.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
109.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
109.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
109.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
107.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
107.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
107.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
106.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
106.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
106.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
106.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
106.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
105.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
105.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
105.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
105.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
104.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
104.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
104.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
104.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
104.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
104.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
104.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
104.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
103.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
103.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
103.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
102.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
101.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
101.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
101.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
100.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
100.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
100.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
99.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
99.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
99.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
99.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
98.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
97.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
97.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
97.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
97.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
97.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
96.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
95.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
95.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
95.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
95.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
94.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
94.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
94.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
93.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
92.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
91.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
91.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
91.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
91.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
90.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
90.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
89.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
89.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
88.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
88.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
87.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
87.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
86.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
86.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
86.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
85.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
85.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
85.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
83.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
83.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
82.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
82.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
80.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
79.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
79.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
79.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
78.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
78.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
77.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
76.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
73.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
72.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
71.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
67.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
61.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
60.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
57.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
GRINA 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
183.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
436.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
350.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
343.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
343.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
335.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
333.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
326.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
321.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
311.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
300.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
295.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
279.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
269.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
266.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
264.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
258.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
256.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
244.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
244.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
242.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
225.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
225.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
223.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
221.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
219.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
217.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
215.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
213.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
209.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
205.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
203.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
201.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
200.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
200.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
196.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
193.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
185.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
185.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
183.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
174.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
171.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
170.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
169.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
168.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
167.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
161.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
160.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
153.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
152.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
152.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
150.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
148.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
147.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
142.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
139.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
138.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
138.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
135.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
134.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
131.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
129.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
128.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
124.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
124.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
123.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
123.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
122.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
118.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
117.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
115.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
113.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
110.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
110.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
106.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
105.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
103.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
98.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
97.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
96.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
94.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
92.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
86.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
85.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 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.
GRINA 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
144.1
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
328.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
324.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
315.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
293.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
293.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
284.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
271.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
266.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
259.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
254.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
250.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
248.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
243.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
242.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
240.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
231.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
231.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
228.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
227.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
226.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
225.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
223.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
221.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
220.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
220.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
214.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
210.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
210.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
208.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
208.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
207.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
207.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
207.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
206.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
206.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
202.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
199.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
198.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
196.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
196.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
196.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
192.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
190.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
189.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
186.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
184.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
181.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
177.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
176.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
174.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
171.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
171.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
170.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
170.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
169.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
169.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
167.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
167.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
167.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
165.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
165.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
165.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
164.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
163.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
163.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
162.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
162.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
162.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
161.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
160.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
160.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
158.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
156.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
155.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
154.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
154.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
154.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
152.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
151.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
151.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
149.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
148.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
148.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
148.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
148.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
147.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
146.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
145.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
145.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
144.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
144.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
144.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
143.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
143.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
143.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
141.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
141.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
141.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
140.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
140.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
140.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
139.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
139.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
138.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
137.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
136.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
135.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
133.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
133.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
132.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
132.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
131.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
131.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
131.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
131.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
131.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
129.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
129.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
129.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
128.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
127.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
126.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
125.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
125.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
124.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
123.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
121.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
121.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
121.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
119.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
119.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
119.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
118.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
118.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
118.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
117.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
116.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
113.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
113.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
113.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
112.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
111.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
110.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
110.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
110.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
110.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
108.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
108.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
108.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
107.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
106.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
104.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
103.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
103.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
100.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
100.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
99.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
99.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
97.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
97.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
95.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
95.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
95.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
93.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
93.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
91.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
91.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
91.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
91.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
89.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
88.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
86.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
85.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
85.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
85.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
84.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
83.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
82.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
81.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
81.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
80.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
80.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
77.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
74.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
73.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
71.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
70.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
69.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
64.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
62.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
62.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
59.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
