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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.
PCBP1 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
249.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
478.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
431.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
430.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
421.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
408.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
404.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
384.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
378.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
349.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
347.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
342.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
339.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
334.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
330.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
329.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
328.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
328.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
327.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
327.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
325.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
319.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
318.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
317.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
317.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
316.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
315.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
314.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
312.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
312.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
311.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
310.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
307.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
307.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
305.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
304.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
304.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
303.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
300.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
299.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
298.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
298.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
298.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
298.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
298.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
297.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
297.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
294.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
293.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
293.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
293.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
293.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
292.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
292.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
291.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
290.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
289.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
289.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
288.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
288.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
288.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
288.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
288.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
287.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
287.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
285.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
285.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
285.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
285.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
285.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
283.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
280.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
280.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
279.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
276.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
276.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
276.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
275.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
274.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
273.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
273.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
272.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
272.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
272.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
270.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
269.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
267.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
266.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
265.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
265.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
265.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
264.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
264.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
264.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
263.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
262.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
262.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
261.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
260.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
259.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
259.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
258.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
257.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
256.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
256.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
256.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
255.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
255.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
254.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
254.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
253.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
252.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
251.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
251.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
251.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
250.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
248.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
248.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
248.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
247.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
247.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
247.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
247.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
246.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
245.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
245.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
245.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
244.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
244.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
243.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
243.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
243.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
243.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
242.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
242.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
241.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
241.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
241.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
241.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
240.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
240.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
240.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
239.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
239.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
239.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
238.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
237.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
236.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
236.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
235.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
235.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
235.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
235.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
233.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
232.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
231.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
231.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
230.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
228.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
228.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
228.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
227.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
227.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
227.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
226.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
226.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
225.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
225.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
224.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
223.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
222.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
222.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
222.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
222.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
222.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
220.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
220.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
220.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
220.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
220.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
220.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
219.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
218.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
218.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
217.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
217.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
216.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
216.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
216.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
216.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
216.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
214.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
214.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
213.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
213.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
212.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
212.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
211.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
211.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
208.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
207.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
207.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
207.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
206.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
206.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
205.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
205.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
203.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
202.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
202.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
201.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
200.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
199.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
198.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
197.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
197.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
196.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
194.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
194.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
193.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
193.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
193.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
192.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
192.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
191.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
190.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
188.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
188.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
188.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
187.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
186.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
185.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
185.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
183.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
183.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
183.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
182.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
182.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
180.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
177.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
176.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
176.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
174.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
170.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
167.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
166.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
163.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
154.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
145.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
140.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
137.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
126.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
110.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
93.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
PCBP1 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
192.4
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
319.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
319.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
311.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
308.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
296.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
294.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
293.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
291.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
281.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
280.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
278.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
277.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
277.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
275.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
274.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
271.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
271.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
271.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
271.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
268.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
267.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
267.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
265.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
263.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
263.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
261.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
261.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
261.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
260.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
259.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
258.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
258.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
258.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
257.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
256.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
254.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
254.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
254.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
254.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
253.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
252.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
251.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
249.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
248.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
248.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
248.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
247.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
246.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
246.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
246.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
245.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
245.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
244.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
243.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
243.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
243.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
242.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
242.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
242.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
242.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
240.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
239.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
239.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
239.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
238.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
238.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
236.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
236.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
236.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
235.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
235.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
235.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
235.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
234.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
234.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
234.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
234.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
233.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
232.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
232.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
230.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
229.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
229.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
229.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
229.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
229.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
228.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
227.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
227.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
227.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
227.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
227.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
227.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
226.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
226.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
225.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
224.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
224.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
223.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
223.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
223.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
223.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
223.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
222.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
222.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
222.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
221.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
221.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
221.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
220.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
220.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
219.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
219.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
219.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
219.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
218.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
218.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
217.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
217.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
217.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
217.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
216.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
216.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
215.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
215.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
215.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
215.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
215.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
214.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
214.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
214.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
214.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
214.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
214.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
213.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
213.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
212.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
212.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
212.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
212.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
212.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
212.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
212.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
211.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
211.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
211.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
211.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
211.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
211.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
210.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
210.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
210.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
209.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
209.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
209.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
209.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
209.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
208.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
208.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
207.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
207.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
207.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
207.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
207.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
207.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
207.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
207.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
206.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
206.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
206.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
206.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
205.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
205.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
205.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
205.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
205.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
205.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
204.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
204.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
204.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
203.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
202.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
202.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
202.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
202.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
201.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
200.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
200.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
200.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
200.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
200.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
200.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
200.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
199.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
199.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
199.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
199.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
199.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
198.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
198.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
198.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
198.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
197.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
197.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
197.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
197.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
196.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
196.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
196.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
195.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
195.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
195.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
195.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
195.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
194.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
194.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
194.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
193.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
193.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
193.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
193.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
193.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
193.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
192.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
191.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
191.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
190.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
190.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
190.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
190.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
190.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
189.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
189.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
189.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
189.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
189.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
189.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
188.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
188.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
188.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
188.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
187.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
187.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
187.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
187.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
187.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
187.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
187.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
186.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
186.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
186.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
186.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
186.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
186.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
185.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
185.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
185.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
185.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
184.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
184.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
184.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
184.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
184.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
184.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
183.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
183.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
183.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
183.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
183.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
183.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
183.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
183.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
183.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
182.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
182.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
181.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
181.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
181.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
181.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
181.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
181.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
181.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
181.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
180.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
180.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
180.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
180.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
180.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
180.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
180.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
180.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
180.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
180.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
179.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
179.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
179.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
178.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
178.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
178.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
178.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
178.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
178.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
178.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
177.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
177.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
177.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
177.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
177.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
177.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
176.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
176.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
176.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
175.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
175.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
175.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
175.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
175.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
175.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
175.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
175.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
174.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
174.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
174.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
174.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
174.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
174.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
174.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
173.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
173.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
173.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
172.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
172.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
172.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
172.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
172.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
172.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
171.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
171.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
171.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
171.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
170.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
170.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
170.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
170.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
170.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
169.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
168.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
168.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
168.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
168.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
167.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
167.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
167.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
167.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
167.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
166.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
166.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
166.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
165.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
165.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
165.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
165.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
165.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
165.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
165.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
165.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
164.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
164.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
164.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
164.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
164.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
164.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
163.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
163.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
163.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
163.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
163.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
163.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
163.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
163.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
163.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
162.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
162.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
162.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
162.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
162.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
161.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
160.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
160.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
160.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
159.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
159.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
158.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
158.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
158.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
158.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
158.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
158.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
157.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
157.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
157.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
157.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
157.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
157.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
156.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
156.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
156.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
155.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
155.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
154.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
154.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
154.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
154.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
154.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
153.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
153.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
153.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
153.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
152.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
152.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
151.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
150.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
150.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
150.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
150.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
150.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
150.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
150.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
149.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
148.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
148.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
147.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
147.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
146.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
146.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
145.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
145.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
145.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
144.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
144.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
144.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
144.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
144.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
144.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
143.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
143.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
142.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
142.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
142.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
142.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
141.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
141.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
141.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
140.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
139.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
138.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
137.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
135.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
134.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
134.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
134.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
134.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
131.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
131.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
131.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
131.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
130.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
130.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
129.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
129.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
129.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
129.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
127.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
125.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
122.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
120.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
117.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
116.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
115.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
112.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
104.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
97.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
88.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PCBP1 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
242.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
351.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
349.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
345.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
340.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
339.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
334.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
333.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
308.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
306.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
305.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
298.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
294.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
293.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
292.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
288.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
283.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
283.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
282.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
282.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
280.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
279.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
278.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
277.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
277.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
273.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
273.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
269.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
268.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
267.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
264.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
263.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
261.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
258.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
258.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
256.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
254.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
252.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
252.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
251.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
249.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
246.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
246.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
245.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
243.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
242.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
241.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
241.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
240.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
240.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
238.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
238.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
235.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
233.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
232.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
232.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
226.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
221.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
221.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
219.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
217.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
215.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
214.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
214.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
213.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
213.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
213.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
209.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
208.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
208.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
207.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
206.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
202.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
200.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
194.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
192.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
190.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
190.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
185.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
184.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
179.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
167.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
167.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
156.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
153.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
150.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
141.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
135.6
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.
PCBP1 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
172.0
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
332.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
309.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
294.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
285.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
284.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
271.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
263.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
254.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
243.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
238.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
238.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
238.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
235.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
234.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
234.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
233.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
231.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
230.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
227.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
227.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
221.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
221.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
221.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
218.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
217.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
217.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
216.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
213.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
213.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
212.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
211.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
210.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
208.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
208.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
207.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
207.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
206.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
205.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
205.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
204.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
203.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
202.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
202.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
202.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
202.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
202.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
200.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
200.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
199.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
199.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
197.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
196.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
195.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
195.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
194.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
193.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
191.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
190.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
188.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
188.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
187.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
187.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
187.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
185.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
185.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
185.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
185.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
185.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
184.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
184.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
184.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
184.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
183.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
182.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
182.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
180.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
180.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
180.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
178.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
178.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
178.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
177.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
177.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
177.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
176.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
176.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
176.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
176.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
176.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
175.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
175.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
175.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
174.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
174.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
173.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
173.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
173.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
170.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
170.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
170.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
169.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
168.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
168.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
167.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
167.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
166.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
166.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
165.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
165.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
165.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
165.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
165.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
164.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
164.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
163.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
163.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
163.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
163.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
163.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
163.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
162.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
162.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
161.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
161.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
161.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
161.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
160.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
160.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
159.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
159.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
158.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
158.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
158.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
158.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
157.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
157.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
157.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
156.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
156.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
155.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
155.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
154.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
154.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
153.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
152.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
151.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
150.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
150.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
150.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
149.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
148.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
146.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
146.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
145.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
144.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
144.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
143.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
143.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
143.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
143.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
141.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
140.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
140.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
140.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
139.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
139.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
138.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
138.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
138.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
137.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
137.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
136.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
136.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
135.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
133.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
133.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
131.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
131.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
130.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
128.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
128.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
127.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
127.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
125.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
124.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
124.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
124.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
123.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
123.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
122.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
119.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
116.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
116.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
114.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
112.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
111.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
111.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
104.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
100.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
99.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
97.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
97.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
96.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
94.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
91.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
86.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
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Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
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Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
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Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
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Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
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Normal
0.0
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Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
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Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.