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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.
HSPA5 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
316.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1131.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
780.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
654.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
644.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
629.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
627.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
623.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
621.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
611.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
591.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
584.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
575.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
558.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
546.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
539.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
521.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
513.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
510.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
500.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
497.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
484.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
484.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
479.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
466.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
466.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
457.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
456.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
454.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
453.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
452.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
447.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
444.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
444.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
443.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
434.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
432.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
429.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
427.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
421.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
420.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
418.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
417.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
413.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
413.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
411.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
405.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
402.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
398.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
396.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
396.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
386.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
386.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
384.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
381.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
374.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
373.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
371.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
370.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
369.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
369.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
367.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
366.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
365.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
365.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
362.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
361.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
357.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
357.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
356.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
355.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
355.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
354.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
353.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
350.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
348.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
347.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
345.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
345.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
342.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
340.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
337.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
337.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
337.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
335.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
334.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
334.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
332.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
331.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
331.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
331.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
330.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
330.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
327.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
326.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
326.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
325.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
325.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
325.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
324.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
323.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
322.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
320.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
319.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
319.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
318.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
318.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
317.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
316.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
316.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
316.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
315.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
313.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
313.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
313.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
312.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
312.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
309.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
308.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
307.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
306.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
305.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
303.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
301.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
301.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
300.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
300.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
300.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
299.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
298.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
296.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
295.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
294.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
294.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
292.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
288.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
287.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
286.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
285.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
284.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
283.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
282.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
281.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
280.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
278.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
276.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
276.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
276.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
273.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
272.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
271.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
271.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
266.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
265.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
264.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
263.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
263.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
262.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
261.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
260.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
259.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
257.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
256.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
256.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
255.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
252.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
251.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
250.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
249.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
248.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
247.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
246.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
246.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
244.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
243.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
243.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
243.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
240.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
238.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
237.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
237.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
237.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
236.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
235.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
235.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
233.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
233.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
232.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
231.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
231.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
231.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
231.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
230.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
229.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
228.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
227.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
225.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
225.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
223.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
223.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
223.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
222.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
222.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
221.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
221.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
221.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
220.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
218.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
218.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
217.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
215.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
215.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
213.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
211.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
211.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
210.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
209.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
208.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
206.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
205.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
204.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
204.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
202.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
202.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
201.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
200.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
200.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
199.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
197.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
197.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
195.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
193.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
193.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
190.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
190.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
190.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
189.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
188.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
183.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
182.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
181.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
177.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
177.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
177.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
173.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
169.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
167.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
167.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
167.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
166.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
149.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
134.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
133.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
129.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 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.
HSPA5 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
324.3
Number of samples
486
Samples
Sample
Description
TPM
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1784.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1065.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
867.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
847.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
803.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
785.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
766.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
731.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
722.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
702.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
695.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
681.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
659.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
651.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
648.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
641.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
639.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
629.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
627.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
622.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
597.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
591.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
591.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
581.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
574.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
573.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
573.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
570.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
568.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
567.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
561.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
554.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
554.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
551.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
551.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
550.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
548.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
544.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
534.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
532.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
529.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
529.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
527.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
518.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
517.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
514.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
512.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
507.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
504.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
502.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
500.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
493.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
488.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
488.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
486.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
483.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
479.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
474.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
474.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
470.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
463.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
462.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
456.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
454.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
453.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
452.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
452.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
439.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
437.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
435.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
434.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
434.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
433.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
430.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
428.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
428.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
428.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
426.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
424.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
422.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
421.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
419.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
418.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
418.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
417.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
416.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
414.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
411.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
411.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
409.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
405.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
404.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
397.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
396.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
396.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
396.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
395.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
394.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
392.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
392.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
391.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
391.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
390.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
390.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
388.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
387.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
387.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
387.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
386.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
385.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
384.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
384.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
384.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
383.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
382.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
381.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
380.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
380.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
379.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
377.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
375.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
375.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
374.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
373.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
370.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
369.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
367.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
366.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
366.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
366.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
366.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
365.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
364.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
364.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
364.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
364.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
361.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
361.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
361.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
361.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
360.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
360.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
359.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
359.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
357.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
357.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
355.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
353.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
352.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
352.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
351.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
350.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
350.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
348.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
348.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
346.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
346.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
344.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
344.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
343.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
343.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
342.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
342.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
342.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
340.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
339.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
338.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
337.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
337.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
336.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
335.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
334.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
333.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
333.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
332.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
332.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
331.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
330.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
330.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
330.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
328.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
328.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
327.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
326.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
326.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
325.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
324.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
324.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
324.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
324.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
323.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
323.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
323.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
321.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
321.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
319.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
318.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
318.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
317.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
317.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
317.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
316.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
314.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
313.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
313.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
313.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
311.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
311.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
310.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
309.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
309.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
309.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
308.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
308.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
307.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
307.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
307.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
307.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
307.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
306.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
306.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
304.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
303.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
303.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
303.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
303.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
301.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
301.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
301.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
301.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
300.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
300.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
298.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
298.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
298.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
298.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
298.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
295.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
294.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
294.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
294.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
294.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
293.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
293.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
293.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
293.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
291.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
291.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
290.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
290.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
290.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
289.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
289.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
288.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
287.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
287.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
286.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
286.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
286.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
285.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
284.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
283.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
283.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
283.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
282.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
282.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
282.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
282.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
281.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
279.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
279.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
278.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
276.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
275.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
274.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
274.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
274.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
274.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
273.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
272.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
272.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
272.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
271.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
271.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
269.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
269.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
269.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
268.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
268.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
268.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
268.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
267.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
267.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
266.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
266.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
266.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
266.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
265.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
265.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
265.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
264.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
264.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
264.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
264.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
263.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
263.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
263.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
262.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
262.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
262.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
262.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
261.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
261.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
261.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
260.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
260.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
260.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
260.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
259.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
257.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
256.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
255.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
255.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
255.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
255.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
255.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
254.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
254.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
253.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
253.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
253.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
251.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
251.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
250.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
249.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
249.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
248.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
248.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
248.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
248.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
247.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
246.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
246.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
245.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
245.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
245.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
244.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
243.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
242.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
242.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
242.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
241.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
241.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
240.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
240.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
240.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
240.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
240.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
239.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
239.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
237.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
237.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
237.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
236.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
236.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
236.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
235.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
234.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
233.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
233.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
231.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
231.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
231.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
231.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
230.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
230.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
230.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
229.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
229.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
229.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
228.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
227.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
225.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
224.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
224.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
223.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
222.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
222.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
222.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
222.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
221.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
220.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
219.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
219.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
218.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
217.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
217.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
217.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
217.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
216.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
216.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
214.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
213.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
213.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
211.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
211.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
211.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
210.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
210.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
210.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
208.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
208.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
207.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
207.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
206.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
205.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
205.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
204.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
203.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
202.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
202.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
201.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
201.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
201.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
200.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
200.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
200.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
198.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
198.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
197.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
197.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
196.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
196.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
195.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
194.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
192.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
192.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
192.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
192.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
190.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
188.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
188.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
187.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
186.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
183.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
182.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
181.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
180.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
180.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
180.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
179.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
179.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
176.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
176.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
175.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
174.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
174.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
172.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
170.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
169.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
169.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
167.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
165.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
165.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
164.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
164.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
164.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
163.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
160.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
159.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
157.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
156.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
155.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
149.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
148.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
148.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
144.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
143.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
133.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
131.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
130.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
130.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
128.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
116.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
18.7
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.
HSPA5 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
319.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1085.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1043.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
850.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
823.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
567.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
482.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
466.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
459.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
446.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
438.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
433.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
432.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
432.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
430.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
429.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
421.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
415.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
414.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
402.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
387.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
384.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
377.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
357.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
356.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
354.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
328.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
325.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
324.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
321.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
317.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
315.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
313.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
310.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
306.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
304.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
301.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
297.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
296.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
296.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
293.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
292.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
285.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
282.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
282.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
281.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
276.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
275.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
274.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
273.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
269.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
269.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
269.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
268.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
266.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
265.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
258.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
254.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
251.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
247.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
246.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
243.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
241.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
240.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
238.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
237.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
235.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
233.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
233.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
224.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
219.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
215.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
211.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
209.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
207.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
199.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
193.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
189.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
187.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
187.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
174.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
174.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
172.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
167.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
158.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
123.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
117.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
85.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
HSPA5 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
257.1
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
858.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
536.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
427.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
419.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
404.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
400.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
389.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
387.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
382.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
377.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
377.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
375.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
375.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
375.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
373.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
364.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
363.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
361.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
359.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
358.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
356.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
349.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
346.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
339.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
339.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
338.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
337.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
334.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
332.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
331.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
329.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
323.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
322.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
318.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
314.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
312.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
311.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
310.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
308.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
308.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
308.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
306.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
304.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
302.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
300.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
299.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
298.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
296.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
293.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
293.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
291.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
290.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
290.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
288.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
286.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
285.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
283.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
283.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
282.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
281.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
280.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
278.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
278.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
278.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
277.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
276.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
276.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
275.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
275.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
274.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
273.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
272.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
271.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
271.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
270.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
269.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
268.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
268.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
267.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
267.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
266.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
266.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
264.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
264.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
263.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
263.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
262.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
262.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
261.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
259.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
259.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
259.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
259.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
257.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
254.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
254.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
254.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
252.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
251.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
249.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
248.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
248.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
247.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
247.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
246.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
245.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
244.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
243.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
242.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
242.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
242.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
241.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
240.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
239.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
239.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
238.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
238.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
238.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
238.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
238.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
237.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
237.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
236.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
235.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
234.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
234.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
234.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
234.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
230.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
230.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
230.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
229.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
228.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
227.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
227.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
225.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
225.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
225.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
224.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
222.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
221.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
220.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
220.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
219.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
218.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
217.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
216.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
216.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
215.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
215.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
213.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
213.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
212.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
211.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
211.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
210.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
210.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
209.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
208.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
207.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
206.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
202.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
199.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
199.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
198.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
198.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
197.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
197.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
194.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
193.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
192.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
192.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
189.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
188.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
188.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
186.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
185.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
185.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
185.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
182.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
182.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
182.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
180.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
180.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
178.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
175.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
174.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
174.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
174.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
171.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
170.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
169.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
168.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
168.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
168.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
167.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
165.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
165.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
160.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
159.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
153.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
149.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
145.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
131.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
120.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
118.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
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.