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PANCREATIC CANCER - Interactive survival scatter ploti
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.
PMEPA1 is not prognostic in pancreatic cancer
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 FPKM
85.8
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
299.6
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
261.0
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
244.2
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
236.2
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
235.7
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
235.2
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
206.0
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
203.8
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
200.6
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
197.7
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
195.8
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
187.8
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
186.7
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
185.1
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
182.6
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
180.2
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
177.2
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
170.1
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
153.4
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
150.2
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
149.9
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
149.4
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
147.5
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
146.8
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
145.5
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
142.5
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
139.3
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
138.3
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
136.6
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
136.0
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
131.9
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
130.7
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
127.1
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
126.7
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
126.3
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
122.7
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
121.6
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
117.5
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
116.2
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
115.8
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
114.7
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
113.4
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
110.9
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
110.8
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
109.7
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
106.9
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
106.0
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
105.5
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
104.3
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
104.0
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
104.0
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
101.5
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
101.2
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
100.8
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
100.7
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
100.1
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
97.1
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
96.6
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
96.1
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
95.6
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
94.6
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
94.5
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
94.3
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
93.7
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
93.5
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
93.2
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
93.1
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
91.9
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
90.9
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
90.4
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
89.5
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
89.0
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
88.8
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
88.5
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
87.4
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
86.7
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
85.8
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
84.8
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
84.3
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
83.6
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
83.1
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
81.7
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
80.4
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
80.4
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
80.0
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
78.2
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
78.0
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
78.0
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
77.0
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
77.0
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
75.7
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
74.7
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
74.2
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
72.6
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
72.6
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
72.4
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
71.9
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
71.1
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
70.7
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
69.4
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
69.4
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
69.1
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
68.3
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
68.3
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
67.0
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
66.2
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
65.8
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
65.2
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
64.9
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
60.7
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
60.1
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
60.1
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
59.7
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
54.1
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
53.8
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
53.3
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
53.1
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
51.4
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
51.0
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
50.5
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
50.1
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
49.8
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
49.4
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
49.3
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
49.0
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
47.9
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
47.4
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
46.9
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
46.8
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
46.6
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
45.5
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
44.9
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
44.6
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
44.4
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
44.0
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
42.5
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
40.4
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
40.2
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
38.0
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
37.7
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
37.5
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
37.2
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
36.6
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
36.3
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
35.9
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
35.5
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
35.3
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
34.2
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
32.4
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
31.2
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
30.5
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
29.6
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
29.2
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
29.1
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
28.9
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
28.2
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
28.2
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
25.4
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
25.3
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
23.4
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
23.3
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
23.1
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
23.1
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
20.4
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
19.3
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
18.5
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
17.9
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
14.6
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
13.5
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
8.7
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
7.5
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
5.1
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
4.6
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
3.9
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
3.8
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
3.0
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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.
The Human Protein Atlas project is funded
