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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HMGB2 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
192.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
531.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
528.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
507.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
502.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
487.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
434.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
386.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
377.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
376.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
363.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
362.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
346.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
341.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
334.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
331.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
325.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
325.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
307.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
306.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
305.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
303.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
298.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
298.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
297.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
296.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
294.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
289.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
286.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
284.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
283.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
278.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
277.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
276.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
276.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
275.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
274.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
272.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
272.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
270.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
268.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
266.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
263.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
262.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
262.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
261.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
258.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
256.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
255.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
247.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
246.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
245.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
244.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
243.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
242.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
240.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
240.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
238.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
238.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
237.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
236.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
236.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
235.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
234.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
234.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
234.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
233.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
233.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
232.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
232.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
232.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
231.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
230.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
224.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
224.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
222.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
219.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
219.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
218.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
217.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
216.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
215.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
215.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
215.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
215.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
214.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
213.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
212.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
211.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
211.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
211.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
210.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
210.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
209.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
209.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
206.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
206.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
204.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
203.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
200.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
199.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
199.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
197.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
194.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
194.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
193.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
192.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
192.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
192.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
189.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
189.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
189.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
189.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
187.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
187.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
187.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
185.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
183.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
183.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
183.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
183.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
182.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
182.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
182.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
181.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
180.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
180.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
179.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
179.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
179.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
178.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
178.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
177.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
175.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
174.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
174.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
174.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
173.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
173.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
172.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
172.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
170.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
169.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
168.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
166.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
165.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
164.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
164.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
164.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
163.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
162.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
162.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
161.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
161.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
160.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
160.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
159.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
158.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
158.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
158.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
158.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
158.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
157.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
156.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
156.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
154.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
152.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
151.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
150.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
148.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
146.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
145.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
144.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
144.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
143.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
143.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
143.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
143.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
143.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
142.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
142.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
141.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
140.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
139.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
138.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
137.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
137.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
137.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
136.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
135.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
134.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
133.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
133.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
132.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
131.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
131.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
131.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
131.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
130.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
128.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
127.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
126.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
126.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
125.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
123.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
121.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
119.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
119.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
119.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
118.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
118.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
117.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
117.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
117.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
117.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
115.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
115.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
114.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
114.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
113.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
113.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
113.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
108.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
107.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
107.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
105.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
105.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
104.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
101.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
100.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
100.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
99.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
99.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
97.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
94.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
94.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
93.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
93.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
91.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
89.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
88.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
86.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
84.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
83.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
81.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
79.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
77.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
67.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
46.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 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.
HMGB2 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
68.9
Number of samples
486
Samples
Sample
Description
TPM
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
167.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
165.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
156.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
155.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
145.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
144.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
141.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
140.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
133.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
131.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
130.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
129.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
128.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
124.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
123.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
123.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
123.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
122.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
121.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
121.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
120.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
120.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
118.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
118.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
118.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
116.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
115.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
115.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
115.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
113.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
112.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
110.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
110.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
109.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
109.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
108.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
107.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
107.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
107.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
107.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
107.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
107.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
105.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
105.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
105.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
105.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
105.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
104.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
103.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
103.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
102.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
101.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
100.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
99.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
98.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
98.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
98.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
97.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
96.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
96.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
96.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
96.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
95.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
95.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
95.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
95.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
94.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
93.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
93.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
93.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
92.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
92.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
92.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
91.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
90.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
90.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
89.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
89.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
89.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
89.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
89.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
89.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
88.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
88.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
87.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
85.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
85.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
85.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
84.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
84.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
84.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
83.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
83.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
83.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
83.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
83.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
82.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
82.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
82.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
80.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
79.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
79.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
79.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
79.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
79.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
79.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
79.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
79.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
79.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
78.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
78.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
78.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
78.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
77.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
77.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
76.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
76.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
76.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
76.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
76.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
75.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
75.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
75.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
75.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
75.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
75.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
75.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
74.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
74.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
74.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
74.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
74.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
73.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
73.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
73.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
73.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
73.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
72.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
71.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
71.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
71.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
70.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
70.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
69.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
69.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
69.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
69.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
68.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
68.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
68.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
67.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
67.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
66.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
66.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
66.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
65.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
65.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
65.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
65.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
64.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
64.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
64.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
64.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
63.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
63.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
63.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
63.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
63.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
62.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
61.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
61.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
60.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
60.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
60.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
60.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
60.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
60.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
59.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
59.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
59.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
58.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
58.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
53.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
53.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
50.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
49.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
48.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
47.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
38.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
36.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
22.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HMGB2 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
193.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
414.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
403.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
348.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
343.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
343.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
342.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
338.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
335.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
323.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
319.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
315.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
312.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
290.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
290.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
276.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
268.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
264.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
259.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
259.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
253.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
248.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
247.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
246.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
242.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
237.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
235.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
234.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
234.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
223.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
223.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
218.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
215.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
209.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
204.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
203.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
197.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
195.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
194.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
194.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
190.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
189.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
188.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
186.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
186.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
186.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
179.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
179.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
177.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
171.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
169.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
164.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
164.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
160.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
159.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
158.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
156.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
151.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
148.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
148.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
147.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
143.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
138.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
135.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
128.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
128.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
124.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
121.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
117.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
116.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
112.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
111.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
110.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
110.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
107.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
106.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
101.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
99.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
95.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
93.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
93.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
92.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
88.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
87.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
84.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
78.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
77.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HMGB2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
60.8
Number of samples
207
Samples
Sample
Description
TPM
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
197.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
150.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
142.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
137.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
136.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
135.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
134.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
123.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
122.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
117.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
111.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
109.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
109.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
107.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
106.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
105.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
102.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
100.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
99.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
98.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
95.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
94.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
94.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
93.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
92.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
92.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
91.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
90.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
90.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
90.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
89.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
88.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
84.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
83.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
83.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
83.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
81.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
80.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
78.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
76.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
74.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
72.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
71.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
70.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
70.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
67.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
66.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
66.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
64.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
64.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
63.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
62.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
60.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
59.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
59.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
59.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
58.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
55.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
54.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
53.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
51.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
50.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
27.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
23.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
21.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
19.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
18.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
17.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
13.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.2
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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.