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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.
MT-ND1 is prognostic, high expression is favourable 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 median 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
3334.8
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
10344.4
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
9381.1
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
9299.6
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
8428.2
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
8178.3
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
7839.4
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
7786.6
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
7125.3
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
7090.3
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
6953.3
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
6527.0
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
6498.7
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
6437.2
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
6212.9
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
6018.4
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
5793.9
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
5747.3
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
5664.8
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
5611.3
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
5607.3
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
5585.7
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
5561.4
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
5442.2
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
5434.4
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
5353.2
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
5343.2
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
5334.4
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
5297.7
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
5253.2
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
5068.1
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
5031.7
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
4916.7
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
4902.6
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
4736.8
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
4646.7
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
4590.4
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
4580.0
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
4572.4
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
4412.5
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
4401.8
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
4365.3
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
4317.4
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
4259.9
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
4256.9
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
4253.2
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
4208.2
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
4185.4
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
4150.9
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
4098.0
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
4072.5
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
4051.9
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
4045.7
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
3996.6
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
3870.9
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
3855.6
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
3829.7
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
3798.6
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
3701.6
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
3670.5
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
3597.4
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
3584.6
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
3572.2
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
3564.8
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
3559.1
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
3538.0
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
3494.6
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
3482.2
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
3406.4
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
3357.1
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
3305.2
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
3286.0
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
3270.6
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
3240.8
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
3231.7
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
3222.9
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
3187.7
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
3184.6
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
3177.5
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
3176.1
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
3157.6
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
3141.8
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
3088.1
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
3070.5
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
3069.9
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
3059.3
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
3040.9
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
3040.3
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
3033.5
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
3010.2
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
2987.6
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
2979.3
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
2971.8
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
2942.7
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
2935.8
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
2926.9
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
2855.7
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
2846.2
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
2839.5
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
2792.2
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
2718.5
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
2705.5
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
2693.1
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
2691.3
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
2674.9
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
2646.9
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
2644.3
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
2643.9
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
2622.3
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
2592.8
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
2535.6
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
2523.1
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
2515.1
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
2512.8
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
2480.6
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
2454.4
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
2410.8
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
2391.8
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
2378.2
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
2376.0
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
2374.2
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
2357.7
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
2297.8
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
2289.2
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
2190.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
2174.1
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
2169.4
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
2164.3
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
2124.7
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
2120.3
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
2081.7
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
2070.3
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
2050.3
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
2040.7
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
2034.5
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
1940.8
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
1841.7
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
1836.1
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
1822.1
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
1759.5
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
1733.5
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
1733.4
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
1727.7
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
1708.4
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
1686.1
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
1677.5
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
1652.2
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
1576.2
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
1549.3
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
1502.5
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
1446.0
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
1406.0
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
1402.7
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
1395.8
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
1388.6
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
1375.5
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
1349.3
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
1311.0
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
1282.0
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
1281.0
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
1239.8
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
1210.6
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
1208.4
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
1150.7
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
1111.3
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
1061.2
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
1049.5
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
1009.7
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
1007.0
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
927.3
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
918.6
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
903.4
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
877.9
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
874.8
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
781.5
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
771.7
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
461.9
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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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high. This score is based on the staining intensity and fraction of stained cells.
The Human Protein Atlas project is funded
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