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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.
GAPDH is not prognostic in Pancreatic 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.
: 1.27
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0040
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.
22%
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.
32%
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
2624.8
Number of samples
176
Samples
Sample
Description
TPM
TCGA-HZ-7289-01A
77 years, male, white, stage:Stage IIB, dead, 661 days
13930.3
TCGA-IB-A7LX-01A
57 years, male, white, stage:Stage IIB, dead, 250 days
9717.0
TCGA-FB-AAQ1-01A
49 years, male, white, stage:Stage IIB, dead, 123 days
8431.7
TCGA-2J-AABI-01A
55 years, female, white, stage:Stage IIA, alive, 969 days
8404.6
TCGA-2L-AAQM-01A
52 years, male, white, stage:Stage IIB, alive, 1383 days
8196.3
TCGA-US-A776-01A
61 years, male, white, stage:Stage IIA, alive, 1216 days
7998.2
TCGA-FB-AAQ2-01A
81 years, female, white, stage:Stage IIB, dead, 153 days
7299.7
TCGA-HZ-8005-01A
81 years, male, white, stage:Stage IIB, dead, 120 days
6361.9
TCGA-FB-A545-01A
72 years, female, white, stage:Stage IIB, dead, 732 days
6044.1
TCGA-IB-7646-01A
60 years, male, white, stage:Stage IIB, dead, 145 days
5583.8
TCGA-L1-A7W4-01A
48 years, female, white, stage:Stage IIB, dead, 278 days
5543.3
TCGA-3A-A9IB-01A
69 years, female, white, stage:Stage IIB, dead, 224 days
5262.7
TCGA-YH-A8SY-01A
73 years, female, white, stage:'--, alive, 388 days
5092.9
TCGA-3A-A9IZ-01A
47 years, male, white, stage:Stage IIB, dead, 308 days
5009.0
TCGA-Q3-AA2A-01A
64 years, female, white, stage:Stage IB, alive, 95 days
4466.8
TCGA-FB-AAQ0-01A
68 years, male, white, stage:Stage IIA, dead, 473 days
4456.3
TCGA-IB-A5SS-01A
64 years, female, white, stage:Stage IIB, dead, 460 days
4352.4
TCGA-HV-A5A3-01A
50 years, male, asian, stage:Stage IIA, dead, 128 days
4270.6
TCGA-3A-A9I5-01A
57 years, male, white, stage:'--, alive, 1794 days
4202.6
TCGA-HV-A7OL-01A
70 years, male, asian, stage:Stage IIA, alive, 252 days
4148.7
TCGA-H6-8124-01A
56 years, female, white, stage:Stage IIB, alive, 392 days
4131.3
TCGA-F2-A44G-01A
79 years, female, white, stage:Stage IIB, dead, 233 days
4125.2
TCGA-IB-7890-01A
73 years, male, stage:Stage IB, dead, 598 days
3978.1
TCGA-FB-AAQ6-01A
85 years, male, white, stage:Stage IA, dead, 244 days
3917.0
TCGA-FB-AAPZ-01A
54 years, male, white, stage:Stage IIB, alive, 716 days
3842.8
TCGA-YY-A8LH-01A
61 years, female, white, stage:Stage IIB, alive, 2016 days
3663.1
TCGA-S4-A8RO-01A
75 years, female, white, stage:Stage IIB, alive, 525 days
3598.9
TCGA-IB-7885-01A
78 years, female, white, stage:Stage IIB, alive, 1257 days
3583.5
TCGA-3A-A9IU-01A
65 years, male, white, stage:Stage IIB, dead, 458 days
3513.0
TCGA-IB-7893-01A
64 years, male, white, stage:Stage IIA, dead, 117 days
3446.0
TCGA-2L-AAQA-01A
76 years, male, white, stage:Stage IIB, dead, 143 days
3357.3
TCGA-HZ-7922-01A
61 years, female, white, stage:Stage IIB, alive, 4 days
3267.0
TCGA-FB-A5VM-01A
74 years, male, white, stage:Stage IB, dead, 498 days
3194.3
TCGA-3A-A9J0-01A
75 years, male, white, stage:Stage IIB, alive, 743 days
3187.4
TCGA-IB-A7M4-01A
81 years, male, white, stage:Stage IIB, alive, 483 days
3146.7
TCGA-HZ-A77O-01A
77 years, female, white, stage:Stage IIB, dead, 160 days
3144.8
TCGA-FB-AAPQ-01A
65 years, male, white, stage:Stage IIB, dead, 1130 days
3057.4
TCGA-M8-A5N4-01A
48 years, female, stage:Stage IIA, alive, 584 days
3034.9
TCGA-FB-AAPP-01A
71 years, male, white, stage:Stage IIB, dead, 485 days
3014.2
TCGA-IB-AAUO-01A
64 years, female, white, stage:Stage IIB, dead, 239 days
2957.8
TCGA-2J-AABO-01A
43 years, male, white, stage:Stage IIB, alive, 440 days
2934.0
TCGA-2J-AABF-01A
73 years, male, white, stage:Stage IIB, dead, 691 days
2929.0
TCGA-IB-A5SQ-01A
56 years, female, white, stage:Stage IB, dead, 219 days
2922.5
TCGA-XN-A8T3-01A
67 years, male, white, stage:Stage IB, alive, 951 days
2886.8
TCGA-3A-A9IH-01A
66 years, female, white, stage:Stage IA, alive, 1021 days
2880.1
TCGA-HZ-7925-01A
66 years, male, white, stage:Stage IIB, dead, 614 days
2878.4
TCGA-2J-AAB6-01A
75 years, male, white, stage:Stage IIA, dead, 293 days
2872.1
TCGA-F2-A7TX-01A
77 years, male, white, stage:Stage IIB, dead, 95 days
2857.6
TCGA-FB-AAPU-01A
41 years, female, asian, stage:Stage IIA, dead, 381 days
2853.9
TCGA-HZ-8001-01A
69 years, male, white, stage:Stage III, alive, 706 days
2850.5
TCGA-2L-AAQI-01A
66 years, male, white, stage:Stage IIB, dead, 103 days
2832.5
TCGA-XD-AAUI-01A
50 years, female, white, stage:Stage IIB, dead, 366 days
2821.9
TCGA-2J-AABU-01A
56 years, male, white, stage:Stage IIB, dead, 277 days
2795.6
TCGA-OE-A75W-01A
75 years, male, white, stage:Stage IIA, dead, 267 days
2787.8
TCGA-FB-A7DR-01A
48 years, male, asian, stage:Stage IIA, dead, 353 days
2763.4
TCGA-IB-7887-01A
62 years, female, white, stage:Stage IIB, dead, 110 days
2686.5
TCGA-PZ-A5RE-01A
44 years, female, white, stage:Stage IIB, dead, 470 days
2681.5
TCGA-HZ-8636-01A
58 years, female, white, stage:Stage IV, dead, 545 days
2659.4
TCGA-3A-A9IC-01A
61 years, female, white, stage:Stage IIB, dead, 738 days
2586.4
TCGA-IB-AAUQ-01A
50 years, male, white, stage:Stage IIB, dead, 183 days
2583.8
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:Stage IIA, alive, 379 days
2576.4
TCGA-HV-A5A6-01A
65 years, female, asian, stage:Stage IIB, dead, 2036 days
2558.2
TCGA-3E-AAAZ-01A
71 years, male, white, stage:Stage IIA, dead, 2182 days
2532.4
TCGA-FB-A78T-01A
71 years, female, white, stage:Stage IIB, dead, 375 days
2514.8
TCGA-2J-AABE-01A
73 years, male, white, stage:Stage IIA, alive, 676 days
2469.2
TCGA-IB-7651-01A
64 years, female, white, stage:Stage IIB, dead, 603 days
2458.8
TCGA-IB-8127-01A
59 years, male, white, stage:Stage IIB, alive, 522 days
2447.0
TCGA-RB-A7B8-01A
81 years, female, white, stage:Stage IIB, dead, 466 days
2426.7
TCGA-IB-AAUN-01A
74 years, female, white, stage:Stage IB, dead, 144 days
2425.2
TCGA-2J-AABP-01A
58 years, female, white, stage:Stage IIB, alive, 463 days
2404.4
TCGA-IB-AAUU-01A
35 years, male, white, stage:Stage IIB, alive, 245 days
2398.2
TCGA-HZ-7924-01A
60 years, female, white, stage:Stage IIA, alive, 840 days
2396.8
TCGA-IB-7644-01A
65 years, female, white, stage:Stage IV, dead, 394 days
2393.0
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:Stage IIB, dead, 518 days
2383.4
TCGA-2J-AAB4-01A
48 years, male, white, stage:Stage IIB, alive, 729 days
2374.5
TCGA-HZ-A8P1-01A
81 years, male, white, stage:Stage IB, alive, 7 days
2367.1
TCGA-US-A77E-01A
73 years, male, white, stage:Stage IIB, dead, 430 days
2340.8
TCGA-HV-AA8V-01A
50 years, male, asian, stage:Stage IIB, alive, 920 days
2337.4
TCGA-US-A779-01A
54 years, female, white, stage:Stage IIB, dead, 511 days
2328.0
TCGA-2J-AABT-01A
72 years, female, white, stage:Stage IIB, alive, 319 days
2274.3
TCGA-FB-AAPY-01A
71 years, male, white, stage:Stage IIB, dead, 1059 days
2264.6
TCGA-HZ-A4BH-01A
75 years, male, white, stage:Stage IIB, alive, 194 days
2251.6
TCGA-IB-A6UF-01A
63 years, male, white, stage:Stage IIB, alive, 666 days
2242.3
TCGA-HZ-7919-01A
52 years, female, white, stage:Stage IIB, dead, 593 days
2234.6
TCGA-IB-7886-01A
80 years, male, white, stage:Stage IIB, dead, 123 days
2210.7
TCGA-XD-AAUL-01A
56 years, male, white, stage:Stage IIA, alive, 498 days
2186.6
TCGA-2L-AAQL-01A
82 years, male, white, stage:Stage IIB, dead, 292 days
2180.2
TCGA-2L-AAQE-01A
56 years, male, white, stage:Stage IIB, dead, 684 days
2178.1
TCGA-HV-A5A5-01A
61 years, female, asian, stage:Stage IIB, alive, 289 days
2171.7
TCGA-2J-AAB8-01A
71 years, male, white, stage:Stage IIB, alive, 80 days
2166.6
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:Stage IIB, alive, 1323 days
2159.3
TCGA-3A-A9IJ-01A
65 years, male, white, stage:Stage IB, alive, 1854 days
2157.1
TCGA-FB-AAQ3-01A
65 years, female, white, stage:Stage IIB, dead, 31 days
2142.2
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:Stage IV, alive, 603 days
2137.1
TCGA-2J-AABH-01A
61 years, male, white, stage:Stage IIA, alive, 1287 days
2134.7
TCGA-HZ-A77P-01A
77 years, male, white, stage:Stage IIB, alive, 330 days
2132.8
TCGA-YB-A89D-01A
59 years, male, white, stage:Stage IIB, alive, 350 days
2131.7
TCGA-IB-AAUS-01A
84 years, female, white, stage:Stage IIB, alive, 225 days
2123.3
TCGA-2J-AABK-01A
71 years, male, white, stage:Stage IIB, alive, 484 days
2105.1
TCGA-IB-7889-01A
85 years, female, white, stage:Stage IIB, dead, 481 days
2071.0
TCGA-HZ-8638-01A
84 years, female, white, stage:Stage IA, dead, 151 days
2065.4
TCGA-3A-A9IV-01A
59 years, female, white, stage:Stage IB, alive, 1103 days
2055.8
TCGA-S4-A8RP-01A
77 years, female, white, stage:Stage IIB, dead, 702 days
2045.5
TCGA-F2-6879-01A
57 years, male, white, stage:Stage IIB, dead, 334 days
2041.9
TCGA-HZ-8002-01A
61 years, male, white, stage:Stage IIB, dead, 366 days
2038.7
TCGA-IB-7649-01A
73 years, female, stage:Stage IIB, dead, 467 days
2001.5
TCGA-HZ-A49G-01A
58 years, female, white, stage:Stage IIB, alive, 660 days
1984.5
TCGA-IB-7652-01A
49 years, female, asian, stage:Stage IIB, alive, 1116 days
1978.8
TCGA-RB-AA9M-01A
43 years, male, white, stage:Stage IIB, alive, 286 days
1977.9
TCGA-H8-A6C1-01A
53 years, male, white, stage:Stage IIA, alive, 671 days
1949.9
TCGA-2J-AAB1-01A
65 years, male, white, stage:Stage IIB, dead, 66 days
1938.8
TCGA-IB-AAUT-01A
65 years, male, white, stage:Stage IIB, alive, 287 days
1867.1
TCGA-IB-7891-01A
49 years, female, white, stage:Stage IIB, dead, 913 days
1866.7
TCGA-US-A774-01A
76 years, female, white, stage:Stage IIB, dead, 695 days
1866.2
TCGA-2J-AAB9-01A
70 years, female, white, stage:Stage IIB, dead, 627 days
1859.0
TCGA-FB-AAPS-01A
62 years, female, white, stage:Stage IIB, alive, 228 days
1857.6
TCGA-HZ-A77Q-01A
55 years, female, white, stage:Stage IIB, alive, 33 days
1849.3
TCGA-2J-AABR-01A
60 years, female, white, stage:Stage IIA, alive, 438 days
1822.5
TCGA-HV-A7OP-01A
72 years, male, asian, stage:Stage IIB, alive, 978 days
1811.0
TCGA-US-A77G-01A
64 years, male, white, stage:Stage IIB, dead, 12 days
1805.9
TCGA-3A-A9IO-01A
55 years, male, white, stage:'--, alive, 1942 days
1803.8
TCGA-HZ-A4BK-01A
72 years, male, white, stage:Stage IIB, alive, 657 days
1800.8
TCGA-IB-A5SO-01A
71 years, male, white, stage:Stage IIB, dead, 365 days
1782.4
TCGA-XN-A8T5-01A
53 years, female, white, stage:Stage IB, alive, 720 days
1751.4
TCGA-2J-AABA-01A
55 years, male, white, stage:Stage IIB, dead, 607 days
1749.6
TCGA-3A-A9I9-01A
67 years, male, white, stage:Stage IIA, dead, 634 days
1744.2
TCGA-F2-A44H-01A
65 years, male, white, stage:Stage IIA, alive, 586 days
1738.3
TCGA-2L-AAQJ-01A
49 years, female, white, stage:Stage III, dead, 394 days
1721.9
TCGA-3A-A9IR-01A
64 years, female, white, stage:Stage IB, alive, 1542 days
1701.3
TCGA-IB-7645-01A
44 years, female, stage:Stage IIB, dead, 1502 days
1699.5
TCGA-RL-AAAS-01A
60 years, female, white, stage:Stage IB, alive, 9 days
1696.9
TCGA-HV-AA8X-01A
75 years, female, asian, stage:Stage IIB, dead, 532 days
1677.0
TCGA-IB-A6UG-01A
65 years, male, white, stage:Stage IIB, dead, 41 days
1675.2
TCGA-IB-A5SP-01A
77 years, male, white, stage:Stage IIA, alive, 482 days
1660.0
TCGA-FB-A4P5-01A
69 years, female, white, stage:Stage IIB, dead, 179 days
1657.1
TCGA-H6-A45N-01A
88 years, female, white, stage:Stage IIB, dead, 397 days
1644.1
TCGA-Z5-AAPL-01A
74 years, female, white, stage:Stage IIA, alive, 467 days
1626.8
TCGA-HV-A5A4-01A
72 years, female, asian, stage:Stage IIA, alive, 232 days
1626.3
TCGA-HZ-A49I-01A
77 years, male, white, stage:Stage IIB, dead, 308 days
1620.2
TCGA-3E-AAAY-01A
67 years, male, white, stage:Stage IIB, alive, 2285 days
1595.3
TCGA-US-A77J-01A
81 years, female, white, stage:Stage IIB, dead, 568 days
1584.5
TCGA-IB-7888-01A
66 years, female, black or african american, stage:Stage IIA, dead, 1332 days
1581.2
TCGA-IB-AAUP-01A
68 years, male, white, stage:Stage IIB, alive, 431 days
1580.7
TCGA-FB-A4P6-01A
54 years, male, white, stage:Stage IIB, alive, 767 days
1573.5
TCGA-S4-A8RM-01A
67 years, male, white, stage:Stage IIB, alive, 737 days
1571.3
TCGA-HZ-7920-01A
71 years, male, white, stage:Stage IB, dead, 236 days
1559.5
TCGA-HZ-7918-01A
72 years, male, white, stage:Stage IIB, alive, 969 days
1553.6
TCGA-IB-7654-01A
80 years, male, white, stage:Stage IIB, dead, 476 days
1537.8
TCGA-IB-7897-01A
53 years, female, white, stage:Stage IIB, dead, 486 days
1529.3
TCGA-3A-A9IS-01A
67 years, male, white, stage:Stage IB, alive, 998 days
1504.6
TCGA-HZ-8637-01A
76 years, female, white, stage:Stage IIB, dead, 517 days
1463.9
TCGA-HZ-7923-01A
65 years, male, white, stage:Stage IIA, alive, 314 days
1463.6
TCGA-IB-AAUR-01A
67 years, male, white, stage:Stage IIB, alive, 338 days
1393.9
TCGA-F2-7276-01A
64 years, male, white, stage:Stage IIB, dead, 216 days
1391.6
TCGA-F2-A8YN-01A
76 years, male, white, stage:Stage IIA, alive, 517 days
1382.7
TCGA-XD-AAUG-01A
66 years, female, white, stage:Stage IV, alive, 420 days
1369.6
TCGA-3A-A9IL-01A
39 years, female, white, stage:Stage I, alive, 2741 days
1339.9
TCGA-F2-7273-01A
54 years, male, black or african american, stage:Stage IIB, dead, 592 days
1336.8
TCGA-IB-AAUV-01A
49 years, male, white, stage:Stage IIB, alive, 404 days
1294.6
TCGA-Q3-A5QY-01A
58 years, male, white, stage:Stage IIB, alive, 416 days
1285.1
TCGA-HZ-8315-01A
54 years, female, white, stage:Stage IIA, dead, 299 days
1275.2
TCGA-HZ-8317-01A
69 years, female, white, stage:Stage IIB, dead, 378 days
1186.4
TCGA-IB-AAUW-01A
63 years, female, white, stage:Stage IIB, dead, 230 days
1182.3
TCGA-XD-AAUH-01A
57 years, female, white, stage:Stage IIB, alive, 395 days
1160.1
TCGA-IB-A5ST-01A
64 years, female, white, stage:Stage IIB, alive, 635 days
1074.2
TCGA-LB-A9Q5-01A
63 years, female, white, stage:Stage IIB, dead, 313 days
1042.5
TCGA-HZ-A49H-01A
68 years, female, white, stage:Stage IIB, alive, 491 days
1032.9
TCGA-3A-A9IX-01A
40 years, male, white, stage:Stage IA, alive, 1037 days
1007.4
TCGA-HZ-8519-01A
73 years, male, white, stage:Stage IA, alive, 454 days
970.3
TCGA-3A-A9IN-01A
62 years, female, white, stage:Stage IB, alive, 2084 days
949.0
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:Stage IIB, dead, 393 days
916.4
TCGA-2J-AABV-01A
74 years, male, white, stage:Stage IIB, dead, 652 days
588.6
TCGA-HZ-8003-01A
65 years, female, white, stage:Stage IIB, dead, 596 days
582.7
TCGA-IB-AAUM-01A
76 years, male, white, stage:Stage IIB, alive, 8 days
536.6
TCGA-IB-8126-01A
79 years, female, white, stage:Stage III, alive, 462 days
463.8
TCGA-F2-6880-01A
70 years, male, white, stage:Stage IIB, alive, 295 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.
GAPDH is not prognostic in Pancreatic 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.
: 1.15
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.15
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.
0%
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.
7%
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
1036.4
Number of samples
80
Samples
Sample
Description
TPM
DO49204
67 years, male, NA, stage:, dead, 156 days
3784.0
DO49079
50 years, male, NA, stage:, dead, 332 days
3367.1
DO32875
69 years, male, NA, stage:, dead, 348 days
3134.2
DO33488
61 years, male, NA, stage:, alive, 844 days
3046.8
DO34728
77 years, female, NA, stage:, alive, 508 days
2690.4
DO34640
49 years, female, NA, stage:, dead, 287 days
2303.7
DO34240
72 years, male, NA, stage:, dead, 236 days
2103.1
DO49080
60 years, male, NA, stage:, alive, 83 days
1919.3
DO33512
female, NA, stage:, dead, 499 days
1749.2
DO34680
75 years, male, NA, stage:, dead, 99 days
1708.8
DO32863
60 years, male, NA, stage:, dead, 715 days
1698.0
DO34961
71 years, male, NA, stage:, dead, 632 days
1591.5
DO34600
77 years, male, NA, stage:, dead, 537 days
1467.9
DO49183
51 years, female, NA, stage:, dead, 429 days
1371.7
DO34905
64 years, male, NA, stage:, alive, 1142 days
1334.9
DO32878
69 years, female, NA, stage:, dead, 260 days
1332.4
DO49166
40 years, female, NA, stage:, alive, 222 days
1274.8
DO49130
76 years, female, NA, stage:, alive, 351 days
1270.3
DO34696
75 years, male, NA, stage:, alive, 689 days
1214.9
DO34785
67 years, female, NA, stage:, alive, 721 days
1187.5
DO33472
75 years, female, NA, stage:, dead, 388 days
1186.0
DO34801
60 years, male, NA, stage:, alive, 626 days
1133.7
DO49170
67 years, male, NA, stage:, alive, 197 days
1105.0
DO49129
50 years, male, NA, stage:, alive, 337 days
1079.8
DO49074
49 years, male, NA, stage:, dead, 168 days
1073.7
DO34264
63 years, female, NA, stage:, dead, 1144 days
1070.5
DO32860
57 years, male, NA, stage:, dead, 1259 days
1022.2
DO33480
52 years, male, NA, stage:, alive, 1054 days
1012.4
DO34448
79 years, female, NA, stage:, dead, 719 days
938.3
DO49178
58 years, male, NA, stage:, dead, 27 days
914.9
DO33376
62 years, female, NA, stage:, alive, 909 days
907.1
DO34849
86 years, female, NA, stage:, dead, 272 days
892.5
DO34504
37 years, male, NA, stage:, dead, 257 days
885.0
DO34288
83 years, female, NA, stage:, dead, 220 days
867.9
DO32829
78 years, female, NA, stage:T2N0MX, dead, 1874 days
865.2
DO49193
60 years, male, NA, stage:, dead, 1 days
860.8
DO34616
68 years, female, NA, stage:, alive, 666 days
857.7
DO33128
72 years, male, NA, stage:, dead, 423 days
847.2
DO49133
55 years, female, NA, stage:, alive, 188 days
845.7
DO33336
67 years, female, NA, stage:, dead, 451 days
829.6
DO33552
70 years, female, NA, stage:, alive, 873 days
824.1
DO34793
56 years, male, NA, stage:, dead, 427 days
808.4
DO34720
68 years, male, NA, stage:, alive, 555 days
790.6
DO33400
76 years, female, NA, stage:, alive, 1043 days
784.0
DO49138
74 years, male, NA, stage:, dead, 230 days
768.2
DO34432
82 years, female, NA, stage:, dead, 400 days
766.8
DO34656
61 years, female, NA, stage:, alive, 834 days
765.4
DO33168
80 years, female, NA, stage:, dead, 8 days
762.2
DO32900
51 years, male, NA, stage:, dead, 768 days
757.2
DO49185
55 years, male, NA, stage:, alive, 179 days
753.3
DO49137
67 years, female, NA, stage:, alive, 232 days
745.5
DO34368
64 years, female, NA, stage:, dead, 537 days
731.9
DO34736
78 years, female, NA, stage:, dead, 203 days
728.2
DO49135
65 years, male, NA, stage:, alive, 270 days
727.0
DO49168
58 years, male, NA, stage:, alive, 149 days
721.9
DO34312
58 years, female, NA, stage:, dead, 226 days
720.0
DO34817
72 years, female, NA, stage:, alive, 540 days
716.2
DO49113
46 years, female, NA, stage:, alive, 413 days
710.0
DO33408
68 years, female, NA, stage:, alive, 909 days
706.3
DO49164
70 years, male, NA, stage:, alive, 272 days
696.1
DO33368
81 years, male, NA, stage:, dead, 98 days
685.7
DO33600
77 years, female, NA, stage:, alive, 854 days
673.8
DO33984
64 years, male, NA, stage:, alive, 847 days
658.2
DO34608
72 years, female, NA, stage:, dead, 709 days
629.3
DO49090
77 years, female, NA, stage:, dead, 152 days
626.0
DO49181
77 years, male, NA, stage:, dead, 1534 days
617.1
DO49127
77 years, female, NA, stage:, alive, 392 days
562.9
DO33544
83 years, female, NA, stage:, dead, 412 days
559.6
DO33344
70 years, male, NA, stage:, dead, 361 days
526.1
DO49078
79 years, male, NA, stage:, dead, 465 days
507.6
DO49076
64 years, male, NA, stage:, dead, 480 days
446.2
DO34809
74 years, female, NA, stage:, dead, 297 days
432.0
DO49198
61 years, female, NA, stage:, dead, 251 days
424.1
DO49087
68 years, female, NA, stage:, dead, 260 days
422.9
DO49172
60 years, female, NA, stage:, dead, 1021 days
417.7
DO33392
70 years, male, NA, stage:, alive, 1014 days
333.5
DO49199
52 years, male, NA, stage:, dead, 1095 days
321.6
DO49184
56 years, male, NA, stage:, dead, 455 days
212.0
DO49175
68 years, male, NA, stage:, dead, 414 days
124.9
DO34336
70 years, female, NA, stage:, alive, 743 days
5.2
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PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0019410004
Tumor
0.6
CPT0083270003
Tumor
0.6
CPT0170240004
Tumor
0.6
CPT0221240004
Tumor
0.5
CPT0238610009
Tumor
0.5
CPT0226490004
Tumor
0.4
CPT0247000003
Normal
0.4
CPT0247040003
Tumor
0.4
CPT0254680003
Tumor
0.3
CPT0008750003
Tumor
0.3
CPT0092630003
Tumor
0.3
CPT0011520003
Tumor
0.3
CPT0124360003
Tumor
0.3
CPT0081470004
Tumor
0.3
CPT0109010004
Tumor
0.2
CPT0238820005
Tumor
0.2
CPT0008800003
Tumor
0.2
CPT0208840004
Tumor
0.2
CPT0166760004
Tumor
0.1
CPT0238040005
Tumor
0.1
CPT0001730017
Tumor
0.1
CPT0236340004
Tumor
0.1
CPT0123890003
Normal
0.1
CPT0066020003
Normal
0.1
CPT0198700005
Tumor
0.1
CPT0064090003
Tumor
0.1
CPT0139000004
Tumor
0.1
CPT0094180003
Tumor
0.1
CPT0086190004
Tumor
0.1
CPT0237910004
Tumor
0.1
CPT0124500004
Tumor
0.1
CPT0108400003
Tumor
0.1
CPT0185920004
Tumor
0.1
CPT0183450005
Tumor
0.1
CPT0011540003
Normal
0.1
CPT0088320003
Tumor
0.1
CPT0264150003
Tumor
0.1
CPT0108960003
Normal
0.1
CPT0237270005
Tumor
0.1
CPT0235230004
Tumor
0.1
CPT0123440003
Tumor
0.0
CPT0081260004
Tumor
0.0
CPT0125010003
Normal
0.0
CPT0109200004
Tumor
0.0
CPT0089720003
Tumor
0.0
CPT0123650003
Tumor
0.0
CPT0236780005
Tumor
0.0
CPT0081360004
Tumor
0.0
CPT0246990003
Tumor
0.0
CPT0081060004
Tumor
0.0
CPT0276010003
Tumor
0.0
CPT0078090004
Tumor
0.0
CPT0161990005
Tumor
0.0
CPT0019300004
Tumor
0.0
CPT0218200004
Tumor
0.0
CPT0063570003
Tumor
0.0
CPT0126160004
Tumor
0.0
CPT0123770003
Normal
0.0
CPT0236560004
Tumor
0.0
CPT0226650004
Tumor
0.0
CPT0226760004
Tumor
0.0
CPT0078160004
Tumor
0.0
CPT0088180004
Tumor
0.0
CPT0125130003
Tumor
0.0
CPT0246840003
Tumor
0.0
CPT0174700004
Tumor
0.0
CPT0161770004
Tumor
0.0
C3L-00401-04
Normal
0.0
CPT0248590004
Tumor
0.0
CPT0248410004
Tumor
0.0
WU-PDA1
Tumor
-0.1
CPT0014040003
Tumor
-0.1
CPT0017040004
Tumor
-0.1
CPT0246810003
Tumor
-0.1
CPT0208690004
Tumor
-0.1
CPT0207780004
Tumor
-0.1
CPT0237840004
Tumor
-0.1
CPT0123990003
Tumor
-0.1
CPT0094230004
Tumor
-0.1
CPT0093880003
Normal
-0.1
CPT0064110003
Normal
-0.1
C3N-00709-06
Normal
-0.1
CPT0094630004
Tumor
-0.1
CPT0355180003
Normal
-0.1
CPT0227930004
Tumor
-0.1
CPT0093860003
Tumor
-0.1
CPT0209640005
Tumor
-0.1
CPT0127290003
Normal
-0.1
CPT0238710004
Tumor
-0.1
CPT0124980004
Tumor
-0.1
CPT0065640003
Tumor
-0.1
CPT0124410004
Tumor
-0.1
CPT0124610004
Tumor
-0.1
CPT0064520004
Tumor
-0.1
CPT0239100009
Tumor
-0.1
CPT0125090003
Tumor
-0.1
CPT0077790004
Tumor
-0.1
CPT0001750003
Normal
-0.1
CPT0246720003
Tumor
-0.1
CPT0123860003
Tumor
-0.1
CPT0241320005
Tumor
-0.1
CPT0091660003
Tumor
-0.1
CPT0226570004
Tumor
-0.1
CPT0108930003
Tumor
-0.1
CPT0207980005
Tumor
-0.1
CPT0094130004
Tumor
-0.1
CPT0078030003
Normal
-0.1
CPT0138990003
Normal
-0.1
CPT0208550005
Tumor
-0.1
CPT0077930004
Tumor
-0.1
C3N-02573-03
Normal
-0.1
CPT0017130003
Normal
-0.2
CPT0063970004
Tumor
-0.2
CPT0077950003
Normal
-0.2
CPT0086210003
Normal
-0.2
CPT0174800003
Normal
-0.2
CPT0236360004
Normal
-0.2
CPT0236700005
Tumor
-0.2
CPT0187930005
Tumor
-0.2
CPT0226600004
Tumor
-0.2
CPT0089750004
Normal
-0.2
CPT0197420004
Tumor
-0.2
CPT0238920004
Tumor
-0.2
CPT0183750005
Tumor
-0.2
CPT0123750003
Tumor
-0.2
CPT0025760003
Normal
-0.2
CPT0207990004
Normal
-0.2
CPT0065570003
Tumor
-0.2
CPT0123670003
Normal
-0.2
CPT0025750003
Tumor
-0.2
CPT0238440005
Tumor
-0.2
CPT0064570003
Normal
-0.2
CPT0077880003
Normal
-0.2
CPT0248620003
Normal
-0.2
CPT0221470005
Tumor
-0.2
CPT0063580003
Normal
-0.2
CPT0224460004
Tumor
-0.2
C3L-03632-04
Normal
-0.2
CPT0218220004
Normal
-0.2
CPT0091680003
Normal
-0.3
CPT0094740004
Tumor
-0.3
KoreanReference1
Tumor
-0.3
CPT0078180003
Normal
-0.3
KoreanReference3
Tumor
-0.3
CPT0198910005
Tumor
-0.3
CPT0162660004
Tumor
-0.3
CPT0236800004
Normal
-0.3
CPT0162670004
Normal
-0.3
CPT0198930003
Normal
-0.3
CPT0077860003
Tumor
-0.3
CPT0186040004
Tumor
-0.3
CPT0217700004
Tumor
-0.3
CPT0123460003
Normal
-0.3
CPT0093980004
Tumor
-0.3
CPT0124530003
Normal
-0.3
CPT0238530005
Tumor
-0.3
CPT0239920004
Normal
-0.3
CPT0209310004
Tumor
-0.3
CPT0246210004
Tumor
-0.3
CPT0094940004
Tumor
-0.3
CPT0276030003
Normal
-0.3
CPT0124000003
Normal
-0.3
CPT0209650004
Normal
-0.3
CPT0203850004
Tumor
-0.3
C3L-00189-04
Normal
-0.3
CPT0162780004
Normal
-0.4
CPT0078250003
Tumor
-0.4
CPT0198420004
Tumor
-0.4
CPT0187550004
Tumor
-0.4
CPT0238740004
Normal
-0.4
CPT0197440004
Normal
-0.4
CPT0236710004
Normal
-0.4
CPT0109300004
Tumor
-0.4
CPT0221250004
Normal
-0.4
CPT0247090003
Tumor
-0.4
CPT0127270003
Tumor
-0.4
CPT0170260004
Normal
-0.4
CPT0078000003
Tumor
-0.4
CPT0237850004
Normal
-0.4
CPT0166780004
Normal
-0.4
CPT0077810003
Normal
-0.4
CPT0162760003
Tumor
-0.4
KoreanReference2
Tumor
-0.4
CPT0087890004
Tumor
-0.4
CPT0183770004
Normal
-0.4
CPT0239910004
Tumor
-0.4
CPT0094030003
Tumor
-0.4
CPT0093930004
Tumor
-0.4
CPT0187540004
Normal
-0.4
CPT0088260004
Tumor
-0.4
CPT0238640004
Normal
-0.4
CPT0248440003
Normal
-0.5
CPT0347820002
Normal
-0.5
CPT0226530004
Tumor
-0.5
CPT0226610004
Normal
-0.5
CPT0000250017
Tumor
-0.5
CPT0241510004
Normal
-0.5
CPT0246940003
Tumor
-0.5
CPT0246950003
Normal
-0.5
CPT0347850002
Normal
-0.5
CPT0198440004
Normal
-0.5
CPT0246220004
Normal
-0.5
CPT0226680005
Tumor
-0.5
CPT0355200003
Normal
-0.5
CPT0239140004
Normal
-0.5
CPT0246260004
Tumor
-0.6
CPT0237920004
Normal
-0.6
CPT0241500004
Tumor
-0.6
CPT0347760002
Normal
-0.6
CPT0208850004
Normal
-0.6
CPT0238940004
Normal
-0.6
CPT0347790002
Normal
-0.7
CPT0208710004
Normal
-0.7
CPT0355190003
Normal
-0.7
CPT0347880002
Normal
-0.7
CPT0247050003
Normal
N/A
CPT0108410003
Normal
N/A
CPT0248320003
Normal
N/A
CPT0166650006
Tumor
N/A
CPT0224470004
Normal
N/A
C3L-01687-04
Normal
N/A
CPT0138890003
Normal
N/A
CPT0109110004
Tumor
N/A
WU-pooled sample
Tumor
N/A
CPT0014060003
Normal
N/A
CPT0109130003
Normal
N/A
CPT0138900004
Tumor
N/A
CPT0166680004
Normal
N/A
CPT0094760003
Normal
N/A
CPT0186050004
Normal
N/A
CPT0237290004
Normal
N/A
CPT0264180003
Normal
N/A
CPT0063990003
Normal
N/A
CPT0126200003
Normal
N/A
CPT0198730004
Normal
N/A
Show allShow less
PANCREATIC 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.