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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.
MT-CO3 is potential prognostic, high expression is favorable 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.
: 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 pTPM
14668.4
Number of samples
176
Samples
Sample
Description
pTPM
TCGA-FB-AAQ6-01A
85 years, male, white, stage:Stage IA, dead, 244 days
39308.9
TCGA-3A-A9IL-01A
39 years, female, white, stage:Stage I, alive, 2741 days
33882.4
TCGA-RB-A7B8-01A
81 years, female, white, stage:Stage IIB, dead, 466 days
32515.9
TCGA-FB-AAPY-01A
71 years, male, white, stage:Stage IIB, dead, 1059 days
32147.5
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:Stage IIB, dead, 393 days
31146.1
TCGA-FB-AAQ1-01A
49 years, male, white, stage:Stage IIB, dead, 123 days
31106.8
TCGA-IB-A5SP-01A
77 years, male, white, stage:Stage IIA, alive, 482 days
31011.5
TCGA-HV-A5A5-01A
61 years, female, asian, stage:Stage IIB, alive, 289 days
30950.3
TCGA-H8-A6C1-01A
53 years, male, white, stage:Stage IIA, alive, 671 days
30551.7
TCGA-2J-AABK-01A
71 years, male, white, stage:Stage IIB, alive, 484 days
30505.4
TCGA-F2-A8YN-01A
76 years, male, white, stage:Stage IIA, alive, 517 days
29780.9
TCGA-3A-A9IN-01A
62 years, female, white, stage:Stage IB, alive, 2084 days
29423.9
TCGA-FB-AAQ3-01A
65 years, female, white, stage:Stage IIB, dead, 31 days
26733.5
TCGA-2J-AABH-01A
61 years, male, white, stage:Stage IIA, alive, 1287 days
26652.0
TCGA-2L-AAQJ-01A
49 years, female, white, stage:Stage III, dead, 394 days
26624.2
TCGA-Q3-AA2A-01A
64 years, female, white, stage:Stage IB, alive, 95 days
26159.1
TCGA-HV-A5A6-01A
65 years, female, asian, stage:Stage IIB, dead, 2036 days
25511.6
TCGA-FB-AAPQ-01A
65 years, male, white, stage:Stage IIB, dead, 1130 days
25210.1
TCGA-M8-A5N4-01A
48 years, female, stage:Stage IIA, alive, 584 days
24860.4
TCGA-2L-AAQM-01A
52 years, male, white, stage:Stage IIB, alive, 1383 days
24102.9
TCGA-2J-AABT-01A
72 years, female, white, stage:Stage IIB, alive, 319 days
23758.3
TCGA-US-A779-01A
54 years, female, white, stage:Stage IIB, dead, 511 days
22864.5
TCGA-3A-A9IV-01A
59 years, female, white, stage:Stage IB, alive, 1103 days
22768.0
TCGA-US-A77E-01A
73 years, male, white, stage:Stage IIB, dead, 430 days
22664.6
TCGA-2J-AABE-01A
73 years, male, white, stage:Stage IIA, alive, 676 days
22617.7
TCGA-HZ-A4BK-01A
72 years, male, white, stage:Stage IIB, alive, 657 days
22409.4
TCGA-F2-A44G-01A
79 years, female, white, stage:Stage IIB, dead, 233 days
22166.0
TCGA-HZ-A8P1-01A
81 years, male, white, stage:Stage IB, alive, 7 days
20945.1
TCGA-3A-A9IO-01A
55 years, male, white, stage:'--, alive, 1942 days
20496.0
TCGA-XN-A8T5-01A
53 years, female, white, stage:Stage IB, alive, 720 days
20431.4
TCGA-3A-A9IS-01A
67 years, male, white, stage:Stage IB, alive, 998 days
19884.9
TCGA-IB-AAUO-01A
64 years, female, white, stage:Stage IIB, dead, 239 days
19850.4
TCGA-XD-AAUI-01A
50 years, female, white, stage:Stage IIB, dead, 366 days
19766.5
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:Stage IIB, alive, 1323 days
19636.5
TCGA-FB-AAPU-01A
41 years, female, asian, stage:Stage IIA, dead, 381 days
19445.7
TCGA-FB-AAPS-01A
62 years, female, white, stage:Stage IIB, alive, 228 days
19158.1
TCGA-IB-7649-01A
73 years, female, stage:Stage IIB, dead, 467 days
18942.4
TCGA-2J-AAB4-01A
48 years, male, white, stage:Stage IIB, alive, 729 days
18783.8
TCGA-HV-AA8V-01A
50 years, male, asian, stage:Stage IIB, alive, 920 days
18758.0
TCGA-F2-A44H-01A
65 years, male, white, stage:Stage IIA, alive, 586 days
18701.2
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:Stage IV, alive, 603 days
18454.2
TCGA-HV-A5A3-01A
50 years, male, asian, stage:Stage IIA, dead, 128 days
18404.5
TCGA-HV-AA8X-01A
75 years, female, asian, stage:Stage IIB, dead, 532 days
18397.5
TCGA-HZ-8638-01A
84 years, female, white, stage:Stage IA, dead, 151 days
18277.7
TCGA-HZ-A77P-01A
77 years, male, white, stage:Stage IIB, alive, 330 days
18183.2
TCGA-3E-AAAY-01A
67 years, male, white, stage:Stage IIB, alive, 2285 days
17886.6
TCGA-3A-A9IH-01A
66 years, female, white, stage:Stage IA, alive, 1021 days
17264.9
TCGA-2J-AABU-01A
56 years, male, white, stage:Stage IIB, dead, 277 days
17095.4
TCGA-L1-A7W4-01A
48 years, female, white, stage:Stage IIB, dead, 278 days
16934.0
TCGA-2J-AAB8-01A
71 years, male, white, stage:Stage IIB, alive, 80 days
16766.4
TCGA-HZ-8637-01A
76 years, female, white, stage:Stage IIB, dead, 517 days
16676.3
TCGA-FB-AAPP-01A
71 years, male, white, stage:Stage IIB, dead, 485 days
16675.1
TCGA-S4-A8RM-01A
67 years, male, white, stage:Stage IIB, alive, 737 days
16654.5
TCGA-FB-AAPZ-01A
54 years, male, white, stage:Stage IIB, alive, 716 days
16636.9
TCGA-Q3-A5QY-01A
58 years, male, white, stage:Stage IIB, alive, 416 days
16555.5
TCGA-HZ-8519-01A
73 years, male, white, stage:Stage IA, alive, 454 days
16504.9
TCGA-3A-A9IR-01A
64 years, female, white, stage:Stage IB, alive, 1542 days
16104.4
TCGA-3A-A9J0-01A
75 years, male, white, stage:Stage IIB, alive, 743 days
16053.0
TCGA-H6-A45N-01A
88 years, female, white, stage:Stage IIB, dead, 397 days
15937.3
TCGA-HV-A7OP-01A
72 years, male, asian, stage:Stage IIB, alive, 978 days
15893.8
TCGA-2J-AABF-01A
73 years, male, white, stage:Stage IIB, dead, 691 days
15858.3
TCGA-US-A776-01A
61 years, male, white, stage:Stage IIA, alive, 1216 days
15760.2
TCGA-3A-A9I9-01A
67 years, male, white, stage:Stage IIA, dead, 634 days
15737.8
TCGA-US-A77G-01A
64 years, male, white, stage:Stage IIB, dead, 12 days
15619.6
TCGA-3A-A9IB-01A
69 years, female, white, stage:Stage IIB, dead, 224 days
15581.3
TCGA-3E-AAAZ-01A
71 years, male, white, stage:Stage IIA, dead, 2182 days
15521.7
TCGA-2J-AABA-01A
55 years, male, white, stage:Stage IIB, dead, 607 days
15433.0
TCGA-FB-A545-01A
72 years, female, white, stage:Stage IIB, dead, 732 days
15353.9
TCGA-2L-AAQE-01A
56 years, male, white, stage:Stage IIB, dead, 684 days
15322.1
TCGA-FB-AAQ2-01A
81 years, female, white, stage:Stage IIB, dead, 153 days
15263.7
TCGA-2J-AAB6-01A
75 years, male, white, stage:Stage IIA, dead, 293 days
15177.8
TCGA-YH-A8SY-01A
73 years, female, white, stage:'--, alive, 388 days
15155.8
TCGA-IB-A6UF-01A
63 years, male, white, stage:Stage IIB, alive, 666 days
15123.5
TCGA-FB-A7DR-01A
48 years, male, asian, stage:Stage IIA, dead, 353 days
15101.5
TCGA-HZ-A49H-01A
68 years, female, white, stage:Stage IIB, alive, 491 days
15099.9
TCGA-2J-AABR-01A
60 years, female, white, stage:Stage IIA, alive, 438 days
14941.6
TCGA-3A-A9IJ-01A
65 years, male, white, stage:Stage IB, alive, 1854 days
14926.7
TCGA-3A-A9I5-01A
57 years, male, white, stage:'--, alive, 1794 days
14793.1
TCGA-XD-AAUH-01A
57 years, female, white, stage:Stage IIB, alive, 395 days
14562.4
TCGA-XN-A8T3-01A
67 years, male, white, stage:Stage IB, alive, 951 days
14487.0
TCGA-HZ-8315-01A
54 years, female, white, stage:Stage IIA, dead, 299 days
14471.5
TCGA-HZ-A49G-01A
58 years, female, white, stage:Stage IIB, alive, 660 days
14373.6
TCGA-IB-A5SO-01A
71 years, male, white, stage:Stage IIB, dead, 365 days
14293.3
TCGA-2J-AAB1-01A
65 years, male, white, stage:Stage IIB, dead, 66 days
14264.7
TCGA-3A-A9IX-01A
40 years, male, white, stage:Stage IA, alive, 1037 days
13955.2
TCGA-FB-AAQ0-01A
68 years, male, white, stage:Stage IIA, dead, 473 days
13917.9
TCGA-HZ-A4BH-01A
75 years, male, white, stage:Stage IIB, alive, 194 days
13826.8
TCGA-FB-A78T-01A
71 years, female, white, stage:Stage IIB, dead, 375 days
13707.0
TCGA-YY-A8LH-01A
61 years, female, white, stage:Stage IIB, alive, 2016 days
13683.3
TCGA-HZ-A77Q-01A
55 years, female, white, stage:Stage IIB, alive, 33 days
13611.3
TCGA-IB-AAUQ-01A
50 years, male, white, stage:Stage IIB, dead, 183 days
13442.0
TCGA-IB-AAUR-01A
67 years, male, white, stage:Stage IIB, alive, 338 days
13418.4
TCGA-PZ-A5RE-01A
44 years, female, white, stage:Stage IIB, dead, 470 days
13391.2
TCGA-2L-AAQL-01A
82 years, male, white, stage:Stage IIB, dead, 292 days
13304.5
TCGA-S4-A8RP-01A
77 years, female, white, stage:Stage IIB, dead, 702 days
13261.0
TCGA-IB-A7M4-01A
81 years, male, white, stage:Stage IIB, alive, 483 days
13229.5
TCGA-FB-A4P6-01A
54 years, male, white, stage:Stage IIB, alive, 767 days
13222.5
TCGA-HV-A5A4-01A
72 years, female, asian, stage:Stage IIA, alive, 232 days
13020.4
TCGA-2L-AAQI-01A
66 years, male, white, stage:Stage IIB, dead, 103 days
13010.2
TCGA-IB-AAUU-01A
35 years, male, white, stage:Stage IIB, alive, 245 days
12989.2
TCGA-2J-AABI-01A
55 years, female, white, stage:Stage IIA, alive, 969 days
12887.9
TCGA-RB-AA9M-01A
43 years, male, white, stage:Stage IIB, alive, 286 days
12656.2
TCGA-HZ-7289-01A
77 years, male, white, stage:Stage IIB, dead, 661 days
12056.8
TCGA-2J-AABO-01A
43 years, male, white, stage:Stage IIB, alive, 440 days
11951.8
TCGA-IB-AAUV-01A
49 years, male, white, stage:Stage IIB, alive, 404 days
11923.9
TCGA-IB-7887-01A
62 years, female, white, stage:Stage IIB, dead, 110 days
11918.6
TCGA-XD-AAUG-01A
66 years, female, white, stage:Stage IV, alive, 420 days
11909.5
TCGA-IB-AAUS-01A
84 years, female, white, stage:Stage IIB, alive, 225 days
11827.9
TCGA-FB-A4P5-01A
69 years, female, white, stage:Stage IIB, dead, 179 days
11698.5
TCGA-HZ-8317-01A
69 years, female, white, stage:Stage IIB, dead, 378 days
11685.5
TCGA-IB-A6UG-01A
65 years, male, white, stage:Stage IIB, dead, 41 days
11621.8
TCGA-RL-AAAS-01A
60 years, female, white, stage:Stage IB, alive, 9 days
11562.7
TCGA-IB-A5SQ-01A
56 years, female, white, stage:Stage IB, dead, 219 days
11287.8
TCGA-2L-AAQA-01A
76 years, male, white, stage:Stage IIB, dead, 143 days
11280.5
TCGA-OE-A75W-01A
75 years, male, white, stage:Stage IIA, dead, 267 days
11217.4
TCGA-IB-AAUP-01A
68 years, male, white, stage:Stage IIB, alive, 431 days
10899.5
TCGA-IB-AAUT-01A
65 years, male, white, stage:Stage IIB, alive, 287 days
10880.3
TCGA-US-A77J-01A
81 years, female, white, stage:Stage IIB, dead, 568 days
10820.3
TCGA-IB-7645-01A
44 years, female, stage:Stage IIB, dead, 1502 days
10813.2
TCGA-IB-AAUN-01A
74 years, female, white, stage:Stage IB, dead, 144 days
10729.4
TCGA-IB-AAUW-01A
63 years, female, white, stage:Stage IIB, dead, 230 days
10682.3
TCGA-IB-A7LX-01A
57 years, male, white, stage:Stage IIB, dead, 250 days
10506.2
TCGA-IB-7897-01A
53 years, female, white, stage:Stage IIB, dead, 486 days
10425.0
TCGA-US-A774-01A
76 years, female, white, stage:Stage IIB, dead, 695 days
10289.0
TCGA-HZ-A49I-01A
77 years, male, white, stage:Stage IIB, dead, 308 days
10259.0
TCGA-HZ-7924-01A
60 years, female, white, stage:Stage IIA, alive, 840 days
10242.5
TCGA-FB-A5VM-01A
74 years, male, white, stage:Stage IB, dead, 498 days
10176.3
TCGA-XD-AAUL-01A
56 years, male, white, stage:Stage IIA, alive, 498 days
9882.0
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:Stage IIB, dead, 518 days
9834.0
TCGA-HZ-7925-01A
66 years, male, white, stage:Stage IIB, dead, 614 days
9830.1
TCGA-YB-A89D-01A
59 years, male, white, stage:Stage IIB, alive, 350 days
9617.8
TCGA-IB-7885-01A
78 years, female, white, stage:Stage IIB, alive, 1257 days
9378.8
TCGA-Z5-AAPL-01A
74 years, female, white, stage:Stage IIA, alive, 467 days
9353.6
TCGA-S4-A8RO-01A
75 years, female, white, stage:Stage IIB, alive, 525 days
9340.2
TCGA-IB-7889-01A
85 years, female, white, stage:Stage IIB, dead, 481 days
9319.6
TCGA-IB-7646-01A
60 years, male, white, stage:Stage IIB, dead, 145 days
9286.9
TCGA-HZ-7923-01A
65 years, male, white, stage:Stage IIA, alive, 314 days
9264.3
TCGA-2J-AAB9-01A
70 years, female, white, stage:Stage IIB, dead, 627 days
9258.5
TCGA-F2-A7TX-01A
77 years, male, white, stage:Stage IIB, dead, 95 days
9173.9
TCGA-3A-A9IC-01A
61 years, female, white, stage:Stage IIB, dead, 738 days
9014.0
TCGA-IB-8127-01A
59 years, male, white, stage:Stage IIB, alive, 522 days
8944.2
TCGA-IB-A5ST-01A
64 years, female, white, stage:Stage IIB, alive, 635 days
8762.4
TCGA-3A-A9IZ-01A
47 years, male, white, stage:Stage IIB, dead, 308 days
8674.0
TCGA-IB-7652-01A
49 years, female, asian, stage:Stage IIB, alive, 1116 days
8542.5
TCGA-3A-A9IU-01A
65 years, male, white, stage:Stage IIB, dead, 458 days
8491.8
TCGA-IB-AAUM-01A
76 years, male, white, stage:Stage IIB, alive, 8 days
8441.8
TCGA-IB-8126-01A
79 years, female, white, stage:Stage III, alive, 462 days
8344.7
TCGA-HZ-8636-01A
58 years, female, white, stage:Stage IV, dead, 545 days
8062.5
TCGA-HZ-8001-01A
69 years, male, white, stage:Stage III, alive, 706 days
8009.9
TCGA-HZ-7920-01A
71 years, male, white, stage:Stage IB, dead, 236 days
7993.6
TCGA-HZ-8002-01A
61 years, male, white, stage:Stage IIB, dead, 366 days
7986.2
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:Stage IIA, alive, 379 days
7938.7
TCGA-F2-7276-01A
64 years, male, white, stage:Stage IIB, dead, 216 days
7896.9
TCGA-F2-6879-01A
57 years, male, white, stage:Stage IIB, dead, 334 days
7544.1
TCGA-IB-A5SS-01A
64 years, female, white, stage:Stage IIB, dead, 460 days
7068.0
TCGA-H6-8124-01A
56 years, female, white, stage:Stage IIB, alive, 392 days
7006.5
TCGA-IB-7644-01A
65 years, female, white, stage:Stage IV, dead, 394 days
6719.0
TCGA-HZ-7919-01A
52 years, female, white, stage:Stage IIB, dead, 593 days
6684.2
TCGA-IB-7651-01A
64 years, female, white, stage:Stage IIB, dead, 603 days
6285.4
TCGA-LB-A9Q5-01A
63 years, female, white, stage:Stage IIB, dead, 313 days
6182.2
TCGA-HZ-A77O-01A
77 years, female, white, stage:Stage IIB, dead, 160 days
6012.3
TCGA-HV-A7OL-01A
70 years, male, asian, stage:Stage IIA, alive, 252 days
5956.2
TCGA-IB-7890-01A
73 years, male, stage:Stage IB, dead, 598 days
5912.6
TCGA-F2-6880-01A
70 years, male, white, stage:Stage IIB, alive, 295 days
5744.2
TCGA-2J-AABP-01A
58 years, female, white, stage:Stage IIB, alive, 463 days
5645.4
TCGA-2J-AABV-01A
74 years, male, white, stage:Stage IIB, dead, 652 days
5348.3
TCGA-IB-7888-01A
66 years, female, black or african american, stage:Stage IIA, dead, 1332 days
5312.7
TCGA-IB-7893-01A
64 years, male, white, stage:Stage IIA, dead, 117 days
5118.8
TCGA-F2-7273-01A
54 years, male, black or african american, stage:Stage IIB, dead, 592 days
4946.9
TCGA-IB-7654-01A
80 years, male, white, stage:Stage IIB, dead, 476 days
4842.9
TCGA-IB-7891-01A
49 years, female, white, stage:Stage IIB, dead, 913 days
4820.1
TCGA-HZ-8005-01A
81 years, male, white, stage:Stage IIB, dead, 120 days
4248.3
TCGA-IB-7886-01A
80 years, male, white, stage:Stage IIB, dead, 123 days
3915.9
TCGA-HZ-8003-01A
65 years, female, white, stage:Stage IIB, dead, 596 days
3835.3
TCGA-HZ-7922-01A
61 years, female, white, stage:Stage IIB, alive, 4 days
3461.3
TCGA-HZ-7918-01A
72 years, male, white, stage:Stage IIB, alive, 969 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.
MT-CO3 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.
: 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 pTPM
5066.5
Number of samples
80
Samples
Sample
Description
pTPM
DO49184
56 years, male, NA, stage:, dead, 455 days
36135.5
DO49175
68 years, male, NA, stage:, dead, 414 days
31459.2
DO49181
77 years, male, NA, stage:, dead, 1534 days
11383.7
DO49172
60 years, female, NA, stage:, dead, 1021 days
11175.7
DO49074
49 years, male, NA, stage:, dead, 168 days
10683.7
DO49137
67 years, female, NA, stage:, alive, 232 days
9158.1
DO49198
61 years, female, NA, stage:, dead, 251 days
8877.6
DO34640
49 years, female, NA, stage:, dead, 287 days
8767.2
DO49087
68 years, female, NA, stage:, dead, 260 days
8554.3
DO49113
46 years, female, NA, stage:, alive, 413 days
8519.6
DO49185
55 years, male, NA, stage:, alive, 179 days
8252.7
DO49133
55 years, female, NA, stage:, alive, 188 days
7724.5
DO33344
70 years, male, NA, stage:, dead, 361 days
7557.4
DO49168
58 years, male, NA, stage:, alive, 149 days
7388.4
DO33392
70 years, male, NA, stage:, alive, 1014 days
7232.2
DO49183
51 years, female, NA, stage:, dead, 429 days
7008.4
DO34656
61 years, female, NA, stage:, alive, 834 days
6786.3
DO34961
71 years, male, NA, stage:, dead, 632 days
6697.2
DO49080
60 years, male, NA, stage:, alive, 83 days
6451.9
DO49178
58 years, male, NA, stage:, dead, 27 days
6307.9
DO34680
75 years, male, NA, stage:, dead, 99 days
5841.6
DO34448
79 years, female, NA, stage:, dead, 719 days
5826.5
DO34849
86 years, female, NA, stage:, dead, 272 days
5752.5
DO32860
57 years, male, NA, stage:, dead, 1259 days
5675.0
DO34504
37 years, male, NA, stage:, dead, 257 days
5577.4
DO34616
68 years, female, NA, stage:, alive, 666 days
5562.1
DO49138
74 years, male, NA, stage:, dead, 230 days
5548.0
DO34312
58 years, female, NA, stage:, dead, 226 days
5442.6
DO49193
60 years, male, NA, stage:, dead, 1 days
5273.3
DO49129
50 years, male, NA, stage:, alive, 337 days
5176.7
DO49135
65 years, male, NA, stage:, alive, 270 days
5153.9
DO49164
70 years, male, NA, stage:, alive, 272 days
5067.4
DO49166
40 years, female, NA, stage:, alive, 222 days
4763.0
DO49127
77 years, female, NA, stage:, alive, 392 days
4662.1
DO49199
52 years, male, NA, stage:, dead, 1095 days
4517.1
DO49130
76 years, female, NA, stage:, alive, 351 days
4393.3
DO49204
67 years, male, NA, stage:, dead, 156 days
4293.7
DO33480
52 years, male, NA, stage:, alive, 1054 days
4159.4
DO34728
77 years, female, NA, stage:, alive, 508 days
4031.7
DO32863
60 years, male, NA, stage:, dead, 715 days
3899.6
DO49170
67 years, male, NA, stage:, alive, 197 days
3824.6
DO33400
76 years, female, NA, stage:, alive, 1043 days
3548.8
DO33488
61 years, male, NA, stage:, alive, 844 days
3537.6
DO34785
67 years, female, NA, stage:, alive, 721 days
3531.0
DO34240
72 years, male, NA, stage:, dead, 236 days
3463.8
DO34720
68 years, male, NA, stage:, alive, 555 days
3430.4
DO33376
62 years, female, NA, stage:, alive, 909 days
3389.5
DO49090
77 years, female, NA, stage:, dead, 152 days
3382.2
DO49078
79 years, male, NA, stage:, dead, 465 days
3279.7
DO32900
51 years, male, NA, stage:, dead, 768 days
3211.3
DO34368
64 years, female, NA, stage:, dead, 537 days
2905.1
DO33472
75 years, female, NA, stage:, dead, 388 days
2753.0
DO34264
63 years, female, NA, stage:, dead, 1144 days
2741.0
DO33336
67 years, female, NA, stage:, dead, 451 days
2622.5
DO34801
60 years, male, NA, stage:, alive, 626 days
2573.9
DO34809
74 years, female, NA, stage:, dead, 297 days
2499.7
DO34793
56 years, male, NA, stage:, dead, 427 days
2377.3
DO49076
64 years, male, NA, stage:, dead, 480 days
2364.8
DO33408
68 years, female, NA, stage:, alive, 909 days
2354.5
DO34288
83 years, female, NA, stage:, dead, 220 days
2173.7
DO49079
50 years, male, NA, stage:, dead, 332 days
2133.8
DO33128
72 years, male, NA, stage:, dead, 423 days
1962.8
DO32829
78 years, female, NA, stage:T2N0MX, dead, 1874 days
1880.1
DO33600
77 years, female, NA, stage:, alive, 854 days
1863.0
DO34696
75 years, male, NA, stage:, alive, 689 days
1825.1
DO32875
69 years, male, NA, stage:, dead, 348 days
1812.1
DO33984
64 years, male, NA, stage:, alive, 847 days
1772.9
DO32878
69 years, female, NA, stage:, dead, 260 days
1759.4
DO34736
78 years, female, NA, stage:, dead, 203 days
1733.4
DO34600
77 years, male, NA, stage:, dead, 537 days
1610.1
DO33544
83 years, female, NA, stage:, dead, 412 days
1588.0
DO34905
64 years, male, NA, stage:, alive, 1142 days
1575.1
DO33552
70 years, female, NA, stage:, alive, 873 days
1440.0
DO34432
82 years, female, NA, stage:, dead, 400 days
1098.6
DO33368
81 years, male, NA, stage:, dead, 98 days
1072.2
DO34817
72 years, female, NA, stage:, alive, 540 days
1024.3
DO33168
80 years, female, NA, stage:, dead, 8 days
948.9
DO34608
72 years, female, NA, stage:, dead, 709 days
736.6
DO33512
female, NA, stage:, dead, 499 days
580.9
DO34336
70 years, female, NA, stage:, alive, 743 days
200.0
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PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0186040004
Tumor
N/A
CPT0208710004
Normal
N/A
CPT0065640003
Tumor
N/A
CPT0226570004
Tumor
N/A
CPT0093980004
Tumor
N/A
CPT0086210003
Normal
N/A
CPT0123770003
Normal
N/A
CPT0247050003
Normal
N/A
CPT0063580003
Normal
N/A
CPT0236340004
Tumor
N/A
CPT0236710004
Normal
N/A
C3N-02573-03
Normal
N/A
CPT0238530005
Tumor
N/A
CPT0347880002
Normal
N/A
CPT0161990005
Tumor
N/A
CPT0081060004
Tumor
N/A
CPT0124410004
Tumor
N/A
CPT0207990004
Normal
N/A
CPT0198910005
Tumor
N/A
CPT0246260004
Tumor
N/A
CPT0019300004
Tumor
N/A
CPT0125130003
Tumor
N/A
CPT0198700005
Tumor
N/A
CPT0226650004
Tumor
N/A
CPT0276030003
Normal
N/A
CPT0088260004
Tumor
N/A
CPT0239140004
Normal
N/A
CPT0187930005
Tumor
N/A
CPT0000250017
Tumor
N/A
CPT0081360004
Tumor
N/A
CPT0208690004
Tumor
N/A
CPT0124360003
Tumor
N/A
CPT0166780004
Normal
N/A
CPT0241510004
Normal
N/A
CPT0125090003
Tumor
N/A
CPT0063570003
Tumor
N/A
CPT0108410003
Normal
N/A
CPT0123990003
Tumor
N/A
CPT0236780005
Tumor
N/A
CPT0078160004
Tumor
N/A
CPT0248320003
Normal
N/A
CPT0109010004
Tumor
N/A
CPT0014040003
Tumor
N/A
CPT0248410004
Tumor
N/A
CPT0241500004
Tumor
N/A
CPT0208850004
Normal
N/A
CPT0174800003
Normal
N/A
CPT0247040003
Tumor
N/A
CPT0183450005
Tumor
N/A
CPT0125010003
Normal
N/A
CPT0094740004
Tumor
N/A
CPT0185920004
Tumor
N/A
CPT0226680005
Tumor
N/A
CPT0011540003
Normal
N/A
CPT0094030003
Tumor
N/A
CPT0166650006
Tumor
N/A
CPT0203850004
Tumor
N/A
CPT0094230004
Tumor
N/A
CPT0209650004
Normal
N/A
CPT0224470004
Normal
N/A
CPT0238940004
Normal
N/A
CPT0123650003
Tumor
N/A
C3L-01687-04
Normal
N/A
CPT0198930003
Normal
N/A
CPT0239920004
Normal
N/A
CPT0162670004
Normal
N/A
CPT0218200004
Tumor
N/A
CPT0226760004
Tumor
N/A
CPT0138890003
Normal
N/A
CPT0237850004
Normal
N/A
CPT0208840004
Tumor
N/A
CPT0246940003
Tumor
N/A
CPT0123860003
Tumor
N/A
CPT0088320003
Tumor
N/A
CPT0246950003
Normal
N/A
CPT0064110003
Normal
N/A
CPT0109110004
Tumor
N/A
CPT0227930004
Tumor
N/A
CPT0066020003
Normal
N/A
CPT0247000003
Normal
N/A
CPT0025750003
Tumor
N/A
CPT0094630004
Tumor
N/A
CPT0239100009
Tumor
N/A
CPT0248620003
Normal
N/A
CPT0077930004
Tumor
N/A
CPT0078250003
Tumor
N/A
CPT0355190003
Normal
N/A
CPT0078030003
Normal
N/A
CPT0347760002
Normal
N/A
C3L-00401-04
Normal
N/A
CPT0197440004
Normal
N/A
CPT0081260004
Tumor
N/A
CPT0086190004
Tumor
N/A
CPT0087890004
Tumor
N/A
CPT0077810003
Normal
N/A
CPT0109300004
Tumor
N/A
CPT0019410004
Tumor
N/A
CPT0246840003
Tumor
N/A
CPT0235230004
Tumor
N/A
CPT0236800004
Normal
N/A
CPT0238820005
Tumor
N/A
CPT0017130003
Normal
N/A
CPT0008800003
Tumor
N/A
CPT0077790004
Tumor
N/A
CPT0001750003
Normal
N/A
CPT0237270005
Tumor
N/A
CPT0187550004
Tumor
N/A
KoreanReference3
Tumor
N/A
CPT0077860003
Tumor
N/A
WU-pooled sample
Tumor
N/A
KoreanReference2
Tumor
N/A
CPT0089750004
Normal
N/A
CPT0238740004
Normal
N/A
CPT0014060003
Normal
N/A
CPT0239910004
Tumor
N/A
CPT0238610009
Tumor
N/A
CPT0109130003
Normal
N/A
CPT0347850002
Normal
N/A
CPT0238040005
Tumor
N/A
CPT0089720003
Tumor
N/A
CPT0236700005
Tumor
N/A
CPT0138900004
Tumor
N/A
CPT0254680003
Tumor
N/A
CPT0064520004
Tumor
N/A
CPT0123890003
Normal
N/A
CPT0241320005
Tumor
N/A
CPT0246720003
Tumor
N/A
CPT0064570003
Normal
N/A
CPT0221250004
Normal
N/A
CPT0166680004
Normal
N/A
CPT0123460003
Normal
N/A
CPT0093930004
Tumor
N/A
CPT0226530004
Tumor
N/A
CPT0064090003
Tumor
N/A
CPT0355200003
Normal
N/A
CPT0094760003
Normal
N/A
CPT0170240004
Tumor
N/A
CPT0247090003
Tumor
N/A
CPT0226610004
Normal
N/A
CPT0198420004
Tumor
N/A
CPT0209310004
Tumor
N/A
CPT0093860003
Tumor
N/A
CPT0083270003
Tumor
N/A
CPT0091680003
Normal
N/A
CPT0237920004
Normal
N/A
CPT0093880003
Normal
N/A
CPT0183750005
Tumor
N/A
CPT0246990003
Tumor
N/A
CPT0124530003
Normal
N/A
CPT0238710004
Tumor
N/A
CPT0091660003
Tumor
N/A
CPT0063970004
Tumor
N/A
CPT0108400003
Tumor
N/A
CPT0186050004
Normal
N/A
CPT0124610004
Tumor
N/A
CPT0237290004
Normal
N/A
KoreanReference1
Tumor
N/A
CPT0017040004
Tumor
N/A
CPT0248440003
Normal
N/A
CPT0198440004
Normal
N/A
CPT0123670003
Normal
N/A
CPT0077950003
Normal
N/A
CPT0248590004
Tumor
N/A
CPT0011520003
Tumor
N/A
CPT0226600004
Tumor
N/A
CPT0161770004
Tumor
N/A
CPT0264180003
Normal
N/A
CPT0065570003
Tumor
N/A
CPT0124980004
Tumor
N/A
CPT0238440005
Tumor
N/A
CPT0207780004
Tumor
N/A
CPT0246210004
Tumor
N/A
CPT0094180003
Tumor
N/A
CPT0221470005
Tumor
N/A
CPT0108930003
Tumor
N/A
CPT0207980005
Tumor
N/A
CPT0109200004
Tumor
N/A
C3L-00189-04
Normal
N/A
CPT0008750003
Tumor
N/A
CPT0078090004
Tumor
N/A
CPT0123440003
Tumor
N/A
CPT0238640004
Normal
N/A
CPT0237840004
Tumor
N/A
CPT0081470004
Tumor
N/A
CPT0127290003
Normal
N/A
CPT0264150003
Tumor
N/A
CPT0124500004
Tumor
N/A
CPT0187540004
Normal
N/A
CPT0209640005
Tumor
N/A
CPT0170260004
Normal
N/A
CPT0092630003
Tumor
N/A
CPT0063990003
Normal
N/A
CPT0124000003
Normal
N/A
CPT0208550005
Tumor
N/A
WU-PDA1
Tumor
N/A
CPT0138990003
Normal
N/A
CPT0183770004
Normal
N/A
CPT0127270003
Tumor
N/A
CPT0162660004
Tumor
N/A
CPT0094130004
Tumor
N/A
CPT0126200003
Normal
N/A
CPT0162760003
Tumor
N/A
CPT0246220004
Normal
N/A
CPT0001730017
Tumor
N/A
CPT0197420004
Tumor
N/A
C3L-03632-04
Normal
N/A
CPT0221240004
Tumor
N/A
CPT0347820002
Normal
N/A
CPT0226490004
Tumor
N/A
CPT0217700004
Tumor
N/A
CPT0174700004
Tumor
N/A
CPT0139000004
Tumor
N/A
CPT0126160004
Tumor
N/A
CPT0237910004
Tumor
N/A
CPT0025760003
Normal
N/A
CPT0198730004
Normal
N/A
CPT0355180003
Normal
N/A
CPT0224460004
Tumor
N/A
CPT0108960003
Normal
N/A
CPT0347790002
Normal
N/A
CPT0123750003
Tumor
N/A
CPT0236560004
Tumor
N/A
CPT0166760004
Tumor
N/A
CPT0276010003
Tumor
N/A
CPT0246810003
Tumor
N/A
CPT0238920004
Tumor
N/A
C3N-00709-06
Normal
N/A
CPT0077880003
Normal
N/A
CPT0078180003
Normal
N/A
CPT0088180004
Tumor
N/A
CPT0236360004
Normal
N/A
CPT0218220004
Normal
N/A
CPT0094940004
Tumor
N/A
CPT0078000003
Tumor
N/A
CPT0162780004
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.
The Human Protein Atlas project is funded
