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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.
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
3191.7
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
13024.5
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
12541.6
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
10212.3
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
7859.4
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
7852.9
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
7689.8
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
7061.8
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
6887.7
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
6760.8
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
6605.0
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
6586.5
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
6535.5
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
6213.7
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
6191.3
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
5843.8
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
5734.8
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
5630.5
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
5424.6
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
5401.3
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
5377.6
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
5084.7
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
4954.6
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
4900.1
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
4886.2
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
4849.9
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
4726.4
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
4674.5
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
4615.4
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
4590.9
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
4538.5
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
4527.8
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
4494.3
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
4421.3
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
4398.1
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
4396.2
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
4320.1
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
4294.8
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
4207.6
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
4158.8
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
4094.1
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
4077.9
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
4001.4
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
3981.1
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
3966.5
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
3898.5
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
3882.3
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
3855.2
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
3829.0
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
3822.4
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
3821.7
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
3780.4
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
3747.5
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
3605.0
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
3590.6
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
3584.7
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
3551.3
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
3545.5
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
3505.8
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
3491.1
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
3470.9
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
3397.7
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
3368.1
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
3361.6
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
3341.4
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
3324.1
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
3266.5
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
3236.6
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
3200.6
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
3167.4
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
3140.6
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
3090.4
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
3087.6
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
3074.1
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
3061.9
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
3052.5
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
3050.7
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
2982.4
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
2982.1
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
2976.8
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
2959.2
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
2949.2
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
2905.2
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
2814.4
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
2779.8
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
2735.3
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
2718.1
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
2688.0
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
2684.6
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
2675.1
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
2658.1
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
2638.1
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
2627.5
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
2605.4
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
2602.8
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
2583.7
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
2581.2
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
2561.0
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
2547.9
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
2499.7
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
2483.7
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
2435.0
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
2434.7
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
2433.7
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
2418.9
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
2407.6
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
2369.2
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
2312.0
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
2309.3
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
2301.7
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
2274.4
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
2264.2
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
2250.7
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
2190.3
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
2184.9
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
2171.1
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
2169.4
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
2148.2
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
2141.3
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
2138.1
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
2133.2
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
2116.5
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
2096.0
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
2074.6
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
2059.3
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
2041.2
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
2016.0
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
1998.0
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
1988.7
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
1985.8
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
1960.8
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
1941.3
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
1938.8
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
1929.4
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
1925.0
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
1918.4
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
1896.6
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
1881.6
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
1864.6
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
1857.9
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
1843.5
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
1842.8
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
1824.3
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
1812.1
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
1787.6
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
1779.6
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
1777.8
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
1776.4
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
1763.5
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
1694.9
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
1689.9
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
1684.2
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
1612.2
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
1543.5
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
1539.2
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
1515.8
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
1456.2
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
1432.5
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
1427.9
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
1379.6
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
1376.5
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
1368.4
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
1344.7
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
1330.4
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
1180.7
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
1172.7
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
1089.6
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
1075.9
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
1018.5
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
1003.7
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
999.9
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
969.5
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
816.1
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
769.4
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
700.5
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
681.9
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
654.1
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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.