We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL10 is not prognostic in Pancreatic Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
3894.6
Number of samples
176
Samples
Sample
Description
pTPM
TCGA-IB-7886-01A
80 years, male, white, stage:Stage IIB, dead, 123 days
11278.3
TCGA-IB-7889-01A
85 years, female, white, stage:Stage IIB, dead, 481 days
8239.7
TCGA-IB-A7LX-01A
57 years, male, white, stage:Stage IIB, dead, 250 days
8208.9
TCGA-IB-7887-01A
62 years, female, white, stage:Stage IIB, dead, 110 days
6612.5
TCGA-HZ-8001-01A
69 years, male, white, stage:Stage III, alive, 706 days
6364.6
TCGA-IB-A6UG-01A
65 years, male, white, stage:Stage IIB, dead, 41 days
6285.6
TCGA-FB-AAPU-01A
41 years, female, asian, stage:Stage IIA, dead, 381 days
6129.9
TCGA-Z5-AAPL-01A
74 years, female, white, stage:Stage IIA, alive, 467 days
6059.2
TCGA-IB-7644-01A
65 years, female, white, stage:Stage IV, dead, 394 days
5866.4
TCGA-Q3-A5QY-01A
58 years, male, white, stage:Stage IIB, alive, 416 days
5844.0
TCGA-RL-AAAS-01A
60 years, female, white, stage:Stage IB, alive, 9 days
5813.7
TCGA-2J-AAB6-01A
75 years, male, white, stage:Stage IIA, dead, 293 days
5603.2
TCGA-HZ-7922-01A
61 years, female, white, stage:Stage IIB, alive, 4 days
5571.6
TCGA-IB-AAUR-01A
67 years, male, white, stage:Stage IIB, alive, 338 days
5451.9
TCGA-YY-A8LH-01A
61 years, female, white, stage:Stage IIB, alive, 2016 days
5357.1
TCGA-US-A77J-01A
81 years, female, white, stage:Stage IIB, dead, 568 days
5247.1
TCGA-IB-AAUP-01A
68 years, male, white, stage:Stage IIB, alive, 431 days
5134.9
TCGA-HZ-7925-01A
66 years, male, white, stage:Stage IIB, dead, 614 days
5128.1
TCGA-HZ-8002-01A
61 years, male, white, stage:Stage IIB, dead, 366 days
5077.7
TCGA-HZ-8005-01A
81 years, male, white, stage:Stage IIB, dead, 120 days
5014.9
TCGA-2J-AABP-01A
58 years, female, white, stage:Stage IIB, alive, 463 days
4979.9
TCGA-H6-8124-01A
56 years, female, white, stage:Stage IIB, alive, 392 days
4960.7
TCGA-HZ-7918-01A
72 years, male, white, stage:Stage IIB, alive, 969 days
4946.2
TCGA-2J-AABI-01A
55 years, female, white, stage:Stage IIA, alive, 969 days
4852.9
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:Stage IIA, alive, 379 days
4845.9
TCGA-2L-AAQE-01A
56 years, male, white, stage:Stage IIB, dead, 684 days
4806.2
TCGA-IB-7649-01A
73 years, female, stage:Stage IIB, dead, 467 days
4791.8
TCGA-IB-AAUV-01A
49 years, male, white, stage:Stage IIB, alive, 404 days
4769.2
TCGA-2L-AAQM-01A
52 years, male, white, stage:Stage IIB, alive, 1383 days
4730.5
TCGA-HZ-7289-01A
77 years, male, white, stage:Stage IIB, dead, 661 days
4686.8
TCGA-HV-A7OP-01A
72 years, male, asian, stage:Stage IIB, alive, 978 days
4656.9
TCGA-FB-AAPZ-01A
54 years, male, white, stage:Stage IIB, alive, 716 days
4610.1
TCGA-2L-AAQI-01A
66 years, male, white, stage:Stage IIB, dead, 103 days
4560.9
TCGA-OE-A75W-01A
75 years, male, white, stage:Stage IIA, dead, 267 days
4552.1
TCGA-IB-7888-01A
66 years, female, black or african american, stage:Stage IIA, dead, 1332 days
4547.2
TCGA-XN-A8T5-01A
53 years, female, white, stage:Stage IB, alive, 720 days
4512.3
TCGA-3A-A9IB-01A
69 years, female, white, stage:Stage IIB, dead, 224 days
4492.9
TCGA-YB-A89D-01A
59 years, male, white, stage:Stage IIB, alive, 350 days
4390.3
TCGA-HZ-8636-01A
58 years, female, white, stage:Stage IV, dead, 545 days
4389.2
TCGA-IB-A5ST-01A
64 years, female, white, stage:Stage IIB, alive, 635 days
4378.3
TCGA-FB-A78T-01A
71 years, female, white, stage:Stage IIB, dead, 375 days
4376.2
TCGA-IB-7654-01A
80 years, male, white, stage:Stage IIB, dead, 476 days
4372.9
TCGA-FB-AAPS-01A
62 years, female, white, stage:Stage IIB, alive, 228 days
4356.8
TCGA-FB-AAQ6-01A
85 years, male, white, stage:Stage IA, dead, 244 days
4354.5
TCGA-IB-A6UF-01A
63 years, male, white, stage:Stage IIB, alive, 666 days
4313.0
TCGA-F2-7276-01A
64 years, male, white, stage:Stage IIB, dead, 216 days
4313.0
TCGA-IB-7646-01A
60 years, male, white, stage:Stage IIB, dead, 145 days
4303.7
TCGA-IB-7897-01A
53 years, female, white, stage:Stage IIB, dead, 486 days
4277.9
TCGA-IB-A5SS-01A
64 years, female, white, stage:Stage IIB, dead, 460 days
4272.4
TCGA-HZ-7920-01A
71 years, male, white, stage:Stage IB, dead, 236 days
4270.5
TCGA-US-A779-01A
54 years, female, white, stage:Stage IIB, dead, 511 days
4267.9
TCGA-IB-7645-01A
44 years, female, stage:Stage IIB, dead, 1502 days
4263.8
TCGA-F2-6879-01A
57 years, male, white, stage:Stage IIB, dead, 334 days
4262.7
TCGA-XD-AAUG-01A
66 years, female, white, stage:Stage IV, alive, 420 days
4259.7
TCGA-IB-A5SO-01A
71 years, male, white, stage:Stage IIB, dead, 365 days
4199.6
TCGA-HZ-A8P1-01A
81 years, male, white, stage:Stage IB, alive, 7 days
4189.7
TCGA-F2-7273-01A
54 years, male, black or african american, stage:Stage IIB, dead, 592 days
4167.3
TCGA-IB-7891-01A
49 years, female, white, stage:Stage IIB, dead, 913 days
4163.6
TCGA-3A-A9IZ-01A
47 years, male, white, stage:Stage IIB, dead, 308 days
4077.1
TCGA-IB-7652-01A
49 years, female, asian, stage:Stage IIB, alive, 1116 days
4075.6
TCGA-FB-AAQ2-01A
81 years, female, white, stage:Stage IIB, dead, 153 days
4075.5
TCGA-US-A774-01A
76 years, female, white, stage:Stage IIB, dead, 695 days
4057.3
TCGA-IB-AAUW-01A
63 years, female, white, stage:Stage IIB, dead, 230 days
4036.3
TCGA-FB-AAQ0-01A
68 years, male, white, stage:Stage IIA, dead, 473 days
4024.0
TCGA-HZ-7919-01A
52 years, female, white, stage:Stage IIB, dead, 593 days
4012.3
TCGA-IB-8127-01A
59 years, male, white, stage:Stage IIB, alive, 522 days
3996.9
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:Stage IIB, dead, 518 days
3988.4
TCGA-IB-7893-01A
64 years, male, white, stage:Stage IIA, dead, 117 days
3987.5
TCGA-3A-A9I5-01A
57 years, male, white, stage:'--, alive, 1794 days
3970.2
TCGA-3A-A9IX-01A
40 years, male, white, stage:Stage IA, alive, 1037 days
3925.5
TCGA-FB-A5VM-01A
74 years, male, white, stage:Stage IB, dead, 498 days
3904.2
TCGA-F2-A8YN-01A
76 years, male, white, stage:Stage IIA, alive, 517 days
3891.8
TCGA-FB-AAQ1-01A
49 years, male, white, stage:Stage IIB, dead, 123 days
3890.8
TCGA-F2-A7TX-01A
77 years, male, white, stage:Stage IIB, dead, 95 days
3890.7
TCGA-IB-A5SP-01A
77 years, male, white, stage:Stage IIA, alive, 482 days
3874.6
TCGA-IB-AAUT-01A
65 years, male, white, stage:Stage IIB, alive, 287 days
3865.3
TCGA-3E-AAAY-01A
67 years, male, white, stage:Stage IIB, alive, 2285 days
3846.1
TCGA-2J-AAB1-01A
65 years, male, white, stage:Stage IIB, dead, 66 days
3838.1
TCGA-2L-AAQL-01A
82 years, male, white, stage:Stage IIB, dead, 292 days
3818.1
TCGA-IB-A5SQ-01A
56 years, female, white, stage:Stage IB, dead, 219 days
3814.5
TCGA-IB-AAUS-01A
84 years, female, white, stage:Stage IIB, alive, 225 days
3813.9
TCGA-2J-AABV-01A
74 years, male, white, stage:Stage IIB, dead, 652 days
3807.3
TCGA-2J-AABU-01A
56 years, male, white, stage:Stage IIB, dead, 277 days
3806.6
TCGA-HZ-7924-01A
60 years, female, white, stage:Stage IIA, alive, 840 days
3760.8
TCGA-2L-AAQA-01A
76 years, male, white, stage:Stage IIB, dead, 143 days
3756.3
TCGA-HZ-A77P-01A
77 years, male, white, stage:Stage IIB, alive, 330 days
3741.6
TCGA-HZ-7923-01A
65 years, male, white, stage:Stage IIA, alive, 314 days
3738.2
TCGA-HZ-A77O-01A
77 years, female, white, stage:Stage IIB, dead, 160 days
3735.9
TCGA-HZ-A4BK-01A
72 years, male, white, stage:Stage IIB, alive, 657 days
3721.1
TCGA-IB-7885-01A
78 years, female, white, stage:Stage IIB, alive, 1257 days
3696.7
TCGA-PZ-A5RE-01A
44 years, female, white, stage:Stage IIB, dead, 470 days
3691.7
TCGA-2J-AAB9-01A
70 years, female, white, stage:Stage IIB, dead, 627 days
3671.2
TCGA-2J-AAB4-01A
48 years, male, white, stage:Stage IIB, alive, 729 days
3665.0
TCGA-S4-A8RO-01A
75 years, female, white, stage:Stage IIB, alive, 525 days
3664.4
TCGA-2J-AABO-01A
43 years, male, white, stage:Stage IIB, alive, 440 days
3616.0
TCGA-2J-AABR-01A
60 years, female, white, stage:Stage IIA, alive, 438 days
3609.1
TCGA-HZ-A49H-01A
68 years, female, white, stage:Stage IIB, alive, 491 days
3600.5
TCGA-IB-7890-01A
73 years, male, stage:Stage IB, dead, 598 days
3597.4
TCGA-S4-A8RM-01A
67 years, male, white, stage:Stage IIB, alive, 737 days
3588.4
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:Stage IIB, alive, 1323 days
3566.3
TCGA-YH-A8SY-01A
73 years, female, white, stage:'--, alive, 388 days
3563.7
TCGA-RB-AA9M-01A
43 years, male, white, stage:Stage IIB, alive, 286 days
3537.3
TCGA-IB-7651-01A
64 years, female, white, stage:Stage IIB, dead, 603 days
3536.1
TCGA-FB-A4P6-01A
54 years, male, white, stage:Stage IIB, alive, 767 days
3530.5
TCGA-3A-A9IR-01A
64 years, female, white, stage:Stage IB, alive, 1542 days
3520.5
TCGA-FB-AAQ3-01A
65 years, female, white, stage:Stage IIB, dead, 31 days
3511.6
TCGA-XN-A8T3-01A
67 years, male, white, stage:Stage IB, alive, 951 days
3507.3
TCGA-2J-AABE-01A
73 years, male, white, stage:Stage IIA, alive, 676 days
3483.8
TCGA-US-A77G-01A
64 years, male, white, stage:Stage IIB, dead, 12 days
3481.4
TCGA-H6-A45N-01A
88 years, female, white, stage:Stage IIB, dead, 397 days
3475.7
TCGA-XD-AAUI-01A
50 years, female, white, stage:Stage IIB, dead, 366 days
3462.4
TCGA-FB-AAPY-01A
71 years, male, white, stage:Stage IIB, dead, 1059 days
3453.2
TCGA-F2-A44G-01A
79 years, female, white, stage:Stage IIB, dead, 233 days
3449.8
TCGA-2L-AAQJ-01A
49 years, female, white, stage:Stage III, dead, 394 days
3432.5
TCGA-US-A776-01A
61 years, male, white, stage:Stage IIA, alive, 1216 days
3431.0
TCGA-IB-A7M4-01A
81 years, male, white, stage:Stage IIB, alive, 483 days
3427.2
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:Stage IV, alive, 603 days
3407.3
TCGA-2J-AABK-01A
71 years, male, white, stage:Stage IIB, alive, 484 days
3380.1
TCGA-HV-A7OL-01A
70 years, male, asian, stage:Stage IIA, alive, 252 days
3371.2
TCGA-XD-AAUH-01A
57 years, female, white, stage:Stage IIB, alive, 395 days
3364.8
TCGA-HZ-A77Q-01A
55 years, female, white, stage:Stage IIB, alive, 33 days
3361.3
TCGA-2J-AABA-01A
55 years, male, white, stage:Stage IIB, dead, 607 days
3356.7
TCGA-3A-A9IH-01A
66 years, female, white, stage:Stage IA, alive, 1021 days
3347.7
TCGA-H8-A6C1-01A
53 years, male, white, stage:Stage IIA, alive, 671 days
3316.9
TCGA-3A-A9IU-01A
65 years, male, white, stage:Stage IIB, dead, 458 days
3308.7
TCGA-2J-AABT-01A
72 years, female, white, stage:Stage IIB, alive, 319 days
3306.8
TCGA-S4-A8RP-01A
77 years, female, white, stage:Stage IIB, dead, 702 days
3304.4
TCGA-FB-AAPQ-01A
65 years, male, white, stage:Stage IIB, dead, 1130 days
3300.5
TCGA-IB-AAUN-01A
74 years, female, white, stage:Stage IB, dead, 144 days
3289.3
TCGA-HZ-A49I-01A
77 years, male, white, stage:Stage IIB, dead, 308 days
3283.2
TCGA-HV-A5A3-01A
50 years, male, asian, stage:Stage IIA, dead, 128 days
3273.8
TCGA-HV-AA8V-01A
50 years, male, asian, stage:Stage IIB, alive, 920 days
3240.4
TCGA-IB-AAUQ-01A
50 years, male, white, stage:Stage IIB, dead, 183 days
3235.4
TCGA-IB-AAUU-01A
35 years, male, white, stage:Stage IIB, alive, 245 days
3229.7
TCGA-F2-A44H-01A
65 years, male, white, stage:Stage IIA, alive, 586 days
3215.0
TCGA-3E-AAAZ-01A
71 years, male, white, stage:Stage IIA, dead, 2182 days
3203.1
TCGA-3A-A9IC-01A
61 years, female, white, stage:Stage IIB, dead, 738 days
3195.0
TCGA-HZ-A49G-01A
58 years, female, white, stage:Stage IIB, alive, 660 days
3190.0
TCGA-FB-A7DR-01A
48 years, male, asian, stage:Stage IIA, dead, 353 days
3177.8
TCGA-FB-A4P5-01A
69 years, female, white, stage:Stage IIB, dead, 179 days
3169.4
TCGA-XD-AAUL-01A
56 years, male, white, stage:Stage IIA, alive, 498 days
3158.8
TCGA-HZ-8637-01A
76 years, female, white, stage:Stage IIB, dead, 517 days
3153.8
TCGA-HV-A5A4-01A
72 years, female, asian, stage:Stage IIA, alive, 232 days
3139.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:Stage IIB, alive, 194 days
3084.5
TCGA-Q3-AA2A-01A
64 years, female, white, stage:Stage IB, alive, 95 days
3066.3
TCGA-HZ-8315-01A
54 years, female, white, stage:Stage IIA, dead, 299 days
3058.7
TCGA-IB-AAUM-01A
76 years, male, white, stage:Stage IIB, alive, 8 days
3052.3
TCGA-3A-A9I9-01A
67 years, male, white, stage:Stage IIA, dead, 634 days
3044.2
TCGA-FB-AAPP-01A
71 years, male, white, stage:Stage IIB, dead, 485 days
3032.1
TCGA-IB-AAUO-01A
64 years, female, white, stage:Stage IIB, dead, 239 days
3028.8
TCGA-2J-AAB8-01A
71 years, male, white, stage:Stage IIB, alive, 80 days
3006.1
TCGA-HZ-8519-01A
73 years, male, white, stage:Stage IA, alive, 454 days
2913.7
TCGA-2J-AABF-01A
73 years, male, white, stage:Stage IIB, dead, 691 days
2867.0
TCGA-2J-AABH-01A
61 years, male, white, stage:Stage IIA, alive, 1287 days
2849.7
TCGA-FB-A545-01A
72 years, female, white, stage:Stage IIB, dead, 732 days
2782.4
TCGA-3A-A9IN-01A
62 years, female, white, stage:Stage IB, alive, 2084 days
2768.4
TCGA-HZ-8638-01A
84 years, female, white, stage:Stage IA, dead, 151 days
2750.8
TCGA-3A-A9J0-01A
75 years, male, white, stage:Stage IIB, alive, 743 days
2748.5
TCGA-US-A77E-01A
73 years, male, white, stage:Stage IIB, dead, 430 days
2739.3
TCGA-RB-A7B8-01A
81 years, female, white, stage:Stage IIB, dead, 466 days
2734.0
TCGA-3A-A9IV-01A
59 years, female, white, stage:Stage IB, alive, 1103 days
2720.5
TCGA-HV-AA8X-01A
75 years, female, asian, stage:Stage IIB, dead, 532 days
2695.0
TCGA-LB-A9Q5-01A
63 years, female, white, stage:Stage IIB, dead, 313 days
2635.4
TCGA-HZ-8317-01A
69 years, female, white, stage:Stage IIB, dead, 378 days
2634.5
TCGA-M8-A5N4-01A
48 years, female, stage:Stage IIA, alive, 584 days
2588.8
TCGA-HV-A5A5-01A
61 years, female, asian, stage:Stage IIB, alive, 289 days
2458.1
TCGA-IB-8126-01A
79 years, female, white, stage:Stage III, alive, 462 days
2379.9
TCGA-3A-A9IL-01A
39 years, female, white, stage:Stage I, alive, 2741 days
2269.0
TCGA-F2-6880-01A
70 years, male, white, stage:Stage IIB, alive, 295 days
2267.0
TCGA-3A-A9IJ-01A
65 years, male, white, stage:Stage IB, alive, 1854 days
2263.9
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:Stage IIB, dead, 393 days
2226.9
TCGA-L1-A7W4-01A
48 years, female, white, stage:Stage IIB, dead, 278 days
2212.6
TCGA-HZ-8003-01A
65 years, female, white, stage:Stage IIB, dead, 596 days
2130.0
TCGA-HV-A5A6-01A
65 years, female, asian, stage:Stage IIB, dead, 2036 days
2112.2
TCGA-3A-A9IO-01A
55 years, male, white, stage:'--, alive, 1942 days
1790.0
TCGA-3A-A9IS-01A
67 years, male, white, stage:Stage IB, alive, 998 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.
RPL10 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
1905.4
Number of samples
80
Samples
Sample
Description
pTPM
DO34961
71 years, male, NA, stage:, dead, 632 days
6155.9
DO34640
49 years, female, NA, stage:, dead, 287 days
3795.6
DO33480
52 years, male, NA, stage:, alive, 1054 days
3491.3
DO33368
81 years, male, NA, stage:, dead, 98 days
3400.6
DO34801
60 years, male, NA, stage:, alive, 626 days
3300.3
DO33400
76 years, female, NA, stage:, alive, 1043 days
3233.7
DO32863
60 years, male, NA, stage:, dead, 715 days
3233.4
DO33512
female, NA, stage:, dead, 499 days
3073.1
DO33472
75 years, female, NA, stage:, dead, 388 days
3014.8
DO32900
51 years, male, NA, stage:, dead, 768 days
2936.5
DO32878
69 years, female, NA, stage:, dead, 260 days
2928.4
DO34264
63 years, female, NA, stage:, dead, 1144 days
2762.2
DO34240
72 years, male, NA, stage:, dead, 236 days
2716.2
DO49079
50 years, male, NA, stage:, dead, 332 days
2693.2
DO34368
64 years, female, NA, stage:, dead, 537 days
2691.5
DO34656
61 years, female, NA, stage:, alive, 834 days
2611.4
DO33408
68 years, female, NA, stage:, alive, 909 days
2588.9
DO33344
70 years, male, NA, stage:, dead, 361 days
2564.7
DO34448
79 years, female, NA, stage:, dead, 719 days
2525.5
DO34616
68 years, female, NA, stage:, alive, 666 days
2431.2
DO34680
75 years, male, NA, stage:, dead, 99 days
2391.5
DO34785
67 years, female, NA, stage:, alive, 721 days
2331.4
DO49204
67 years, male, NA, stage:, dead, 156 days
2215.7
DO34608
72 years, female, NA, stage:, dead, 709 days
2211.3
DO34288
83 years, female, NA, stage:, dead, 220 days
2206.6
DO49137
67 years, female, NA, stage:, alive, 232 days
2117.2
DO34905
64 years, male, NA, stage:, alive, 1142 days
2089.8
DO34696
75 years, male, NA, stage:, alive, 689 days
2039.4
DO49076
64 years, male, NA, stage:, dead, 480 days
2029.4
DO49129
50 years, male, NA, stage:, alive, 337 days
2005.5
DO34312
58 years, female, NA, stage:, dead, 226 days
1913.2
DO34600
77 years, male, NA, stage:, dead, 537 days
1901.6
DO49164
70 years, male, NA, stage:, alive, 272 days
1894.1
DO34504
37 years, male, NA, stage:, dead, 257 days
1859.9
DO32829
78 years, female, NA, stage:T2N0MX, dead, 1874 days
1803.4
DO49138
74 years, male, NA, stage:, dead, 230 days
1801.4
DO33552
70 years, female, NA, stage:, alive, 873 days
1786.6
DO33984
64 years, male, NA, stage:, alive, 847 days
1785.0
DO33392
70 years, male, NA, stage:, alive, 1014 days
1770.0
DO49170
67 years, male, NA, stage:, alive, 197 days
1765.5
DO49133
55 years, female, NA, stage:, alive, 188 days
1745.5
DO49090
77 years, female, NA, stage:, dead, 152 days
1739.6
DO34728
77 years, female, NA, stage:, alive, 508 days
1737.9
DO49193
60 years, male, NA, stage:, dead, 1 days
1732.9
DO49178
58 years, male, NA, stage:, dead, 27 days
1731.2
DO49181
77 years, male, NA, stage:, dead, 1534 days
1730.2
DO49166
40 years, female, NA, stage:, alive, 222 days
1689.3
DO49185
55 years, male, NA, stage:, alive, 179 days
1644.5
DO49080
60 years, male, NA, stage:, alive, 83 days
1610.9
DO33544
83 years, female, NA, stage:, dead, 412 days
1584.4
DO34817
72 years, female, NA, stage:, alive, 540 days
1557.6
DO33336
67 years, female, NA, stage:, dead, 451 days
1521.5
DO32860
57 years, male, NA, stage:, dead, 1259 days
1499.0
DO49113
46 years, female, NA, stage:, alive, 413 days
1468.6
DO32875
69 years, male, NA, stage:, dead, 348 days
1439.4
DO33488
61 years, male, NA, stage:, alive, 844 days
1405.2
DO49130
76 years, female, NA, stage:, alive, 351 days
1375.8
DO49135
65 years, male, NA, stage:, alive, 270 days
1371.2
DO49127
77 years, female, NA, stage:, alive, 392 days
1354.6
DO33600
77 years, female, NA, stage:, alive, 854 days
1306.1
DO33376
62 years, female, NA, stage:, alive, 909 days
1297.6
DO33128
72 years, male, NA, stage:, dead, 423 days
1237.5
DO34432
82 years, female, NA, stage:, dead, 400 days
1237.2
DO34793
56 years, male, NA, stage:, dead, 427 days
1201.6
DO34720
68 years, male, NA, stage:, alive, 555 days
1201.6
DO34736
78 years, female, NA, stage:, dead, 203 days
1193.2
DO34809
74 years, female, NA, stage:, dead, 297 days
1161.5
DO34849
86 years, female, NA, stage:, dead, 272 days
1157.1
DO49183
51 years, female, NA, stage:, dead, 429 days
1123.8
DO49087
68 years, female, NA, stage:, dead, 260 days
1098.7
DO49168
58 years, male, NA, stage:, alive, 149 days
1028.7
DO49172
60 years, female, NA, stage:, dead, 1021 days
1027.9
DO49078
79 years, male, NA, stage:, dead, 465 days
1024.9
DO33168
80 years, female, NA, stage:, dead, 8 days
839.6
DO49074
49 years, male, NA, stage:, dead, 168 days
772.4
DO49175
68 years, male, NA, stage:, dead, 414 days
618.8
DO49199
52 years, male, NA, stage:, dead, 1095 days
557.9
DO34336
70 years, female, NA, stage:, alive, 743 days
524.6
DO49184
56 years, male, NA, stage:, dead, 455 days
411.4
DO49198
61 years, female, NA, stage:, dead, 251 days
409.8
Show allShow less
PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0238740004
Normal
1.3
CPT0236800004
Normal
1.2
C3N-02573-03
Normal
1.2
CPT0183770004
Normal
1.2
CPT0124000003
Normal
1.1
CPT0239920004
Normal
1.1
CPT0208850004
Normal
1.1
CPT0089750004
Normal
1.1
CPT0078180003
Normal
1.1
CPT0025760003
Normal
1.1
CPT0127290003
Normal
1.0
CPT0236360004
Normal
1.0
CPT0091680003
Normal
1.0
C3N-00709-06
Normal
1.0
CPT0237920004
Normal
1.0
CPT0063580003
Normal
0.9
CPT0208710004
Normal
0.9
CPT0347880002
Normal
0.9
CPT0108960003
Normal
0.9
CPT0238940004
Normal
0.9
CPT0011540003
Normal
0.8
CPT0236710004
Normal
0.8
CPT0239140004
Normal
0.8
CPT0347820002
Normal
0.8
CPT0237850004
Normal
0.8
CPT0187540004
Normal
0.8
CPT0248440003
Normal
0.8
CPT0170260004
Normal
0.7
C3L-00189-04
Normal
0.7
CPT0123890003
Normal
0.7
CPT0209650004
Normal
0.7
CPT0238640004
Normal
0.7
CPT0347850002
Normal
0.6
CPT0198930003
Normal
0.6
CPT0218220004
Normal
0.6
CPT0123460003
Normal
0.6
CPT0162780004
Normal
0.6
CPT0077810003
Normal
0.6
CPT0123670003
Normal
0.5
CPT0093880003
Normal
0.5
CPT0123770003
Normal
0.5
CPT0166780004
Normal
0.5
CPT0246950003
Normal
0.5
CPT0198440004
Normal
0.5
CPT0355200003
Normal
0.5
C3L-03632-04
Normal
0.4
CPT0246220004
Normal
0.4
CPT0355190003
Normal
0.4
CPT0077950003
Normal
0.4
CPT0093860003
Tumor
0.4
CPT0276030003
Normal
0.4
CPT0247090003
Tumor
0.4
CPT0017130003
Normal
0.3
CPT0347760002
Normal
0.3
CPT0125010003
Normal
0.3
CPT0086210003
Normal
0.3
CPT0124530003
Normal
0.3
CPT0077880003
Normal
0.1
CPT0094130004
Tumor
0.1
CPT0123650003
Tumor
0.1
CPT0001750003
Normal
0.1
CPT0139000004
Tumor
0.1
CPT0207990004
Normal
0.1
CPT0064110003
Normal
0.0
CPT0094230004
Tumor
0.0
CPT0241320005
Tumor
0.0
CPT0347790002
Normal
0.0
CPT0237840004
Tumor
0.0
CPT0123750003
Tumor
0.0
CPT0123860003
Tumor
0.0
CPT0226650004
Tumor
0.0
CPT0236560004
Tumor
0.0
CPT0064090003
Tumor
-0.1
CPT0226600004
Tumor
-0.1
CPT0221470005
Tumor
-0.1
CPT0092630003
Tumor
-0.1
CPT0161990005
Tumor
-0.1
CPT0083270003
Tumor
-0.1
CPT0248620003
Normal
-0.1
CPT0248410004
Tumor
-0.1
CPT0138990003
Normal
-0.1
CPT0086190004
Tumor
-0.1
CPT0248590004
Tumor
-0.1
CPT0246810003
Tumor
-0.1
CPT0221240004
Tumor
-0.1
CPT0170240004
Tumor
-0.1
CPT0162670004
Normal
-0.1
CPT0209640005
Tumor
-0.1
CPT0254680003
Tumor
-0.1
CPT0207980005
Tumor
-0.1
CPT0207780004
Tumor
-0.1
CPT0246210004
Tumor
-0.1
CPT0208840004
Tumor
-0.2
CPT0221250004
Normal
-0.2
CPT0093930004
Tumor
-0.2
CPT0063570003
Tumor
-0.2
CPT0077790004
Tumor
-0.2
CPT0078090004
Tumor
-0.2
CPT0077930004
Tumor
-0.2
CPT0014040003
Tumor
-0.2
CPT0094740004
Tumor
-0.2
CPT0094030003
Tumor
-0.2
CPT0239100009
Tumor
-0.2
CPT0276010003
Tumor
-0.2
CPT0238440005
Tumor
-0.2
CPT0091660003
Tumor
-0.2
CPT0094180003
Tumor
-0.2
CPT0227930004
Tumor
-0.2
CPT0161770004
Tumor
-0.2
CPT0218200004
Tumor
-0.2
CPT0124500004
Tumor
-0.2
CPT0108930003
Tumor
-0.2
CPT0166760004
Tumor
-0.2
CPT0238920004
Tumor
-0.2
CPT0235230004
Tumor
-0.2
CPT0008750003
Tumor
-0.2
CPT0017040004
Tumor
-0.2
CPT0264150003
Tumor
-0.2
CPT0078160004
Tumor
-0.2
CPT0246840003
Tumor
-0.2
CPT0089720003
Tumor
-0.2
CPT0088320003
Tumor
-0.2
CPT0246940003
Tumor
-0.2
CPT0064520004
Tumor
-0.2
CPT0208690004
Tumor
-0.2
CPT0011520003
Tumor
-0.2
CPT0185920004
Tumor
-0.2
CPT0124610004
Tumor
-0.2
CPT0019300004
Tumor
-0.2
CPT0124410004
Tumor
-0.2
CPT0236340004
Tumor
-0.2
CPT0064570003
Normal
-0.2
CPT0237910004
Tumor
-0.3
CPT0217700004
Tumor
-0.3
CPT0239910004
Tumor
-0.3
CPT0238610009
Tumor
-0.3
CPT0065640003
Tumor
-0.3
CPT0081360004
Tumor
-0.3
CPT0236780005
Tumor
-0.3
CPT0019410004
Tumor
-0.3
CPT0224460004
Tumor
-0.3
CPT0198700005
Tumor
-0.3
CPT0125090003
Tumor
-0.3
CPT0241510004
Normal
-0.3
CPT0066020003
Normal
-0.3
CPT0065570003
Tumor
-0.3
CPT0123440003
Tumor
-0.3
CPT0063970004
Tumor
-0.3
CPT0088180004
Tumor
-0.3
CPT0125130003
Tumor
-0.3
CPT0183450005
Tumor
-0.3
CPT0226530004
Tumor
-0.3
CPT0081260004
Tumor
-0.3
KoreanReference1
Tumor
-0.3
CPT0187930005
Tumor
-0.3
CPT0209310004
Tumor
-0.3
CPT0162760003
Tumor
-0.3
CPT0241500004
Tumor
-0.3
CPT0187550004
Tumor
-0.4
CPT0109300004
Tumor
-0.4
CPT0126160004
Tumor
-0.4
CPT0246720003
Tumor
-0.4
CPT0025750003
Tumor
-0.4
CPT0081060004
Tumor
-0.4
CPT0226760004
Tumor
-0.4
C3L-00401-04
Normal
-0.4
CPT0238820005
Tumor
-0.4
CPT0123990003
Tumor
-0.4
CPT0077860003
Tumor
-0.4
CPT0208550005
Tumor
-0.4
CPT0246990003
Tumor
-0.4
CPT0236700005
Tumor
-0.4
CPT0247000003
Normal
-0.4
CPT0162660004
Tumor
-0.4
CPT0238040005
Tumor
-0.4
CPT0203850004
Tumor
-0.4
CPT0108400003
Tumor
-0.4
CPT0226570004
Tumor
-0.4
CPT0094940004
Tumor
-0.4
WU-PDA1
Tumor
-0.4
CPT0094630004
Tumor
-0.4
CPT0001730017
Tumor
-0.4
CPT0238710004
Tumor
-0.4
CPT0127270003
Tumor
-0.4
CPT0226680005
Tumor
-0.4
CPT0183750005
Tumor
-0.4
CPT0000250017
Tumor
-0.4
CPT0226610004
Normal
-0.4
CPT0226490004
Tumor
-0.5
CPT0109010004
Tumor
-0.5
CPT0078000003
Tumor
-0.5
CPT0198420004
Tumor
-0.5
CPT0355180003
Normal
-0.5
CPT0008800003
Tumor
-0.5
CPT0109200004
Tumor
-0.5
CPT0246260004
Tumor
-0.5
CPT0186040004
Tumor
-0.5
CPT0088260004
Tumor
-0.5
CPT0081470004
Tumor
-0.5
CPT0247040003
Tumor
-0.5
CPT0238530005
Tumor
-0.5
CPT0237270005
Tumor
-0.5
CPT0174800003
Normal
-0.5
CPT0093980004
Tumor
-0.5
CPT0124360003
Tumor
-0.5
CPT0078250003
Tumor
-0.6
CPT0197420004
Tumor
-0.6
CPT0087890004
Tumor
-0.6
KoreanReference2
Tumor
-0.6
CPT0198910005
Tumor
-0.6
CPT0197440004
Normal
-0.6
CPT0124980004
Tumor
-0.7
CPT0078030003
Normal
-0.7
KoreanReference3
Tumor
-0.7
CPT0174700004
Tumor
-0.7
CPT0247050003
Normal
N/A
CPT0108410003
Normal
N/A
CPT0248320003
Normal
N/A
CPT0166650006
Tumor
N/A
CPT0224470004
Normal
N/A
C3L-01687-04
Normal
N/A
CPT0138890003
Normal
N/A
CPT0109110004
Tumor
N/A
WU-pooled sample
Tumor
N/A
CPT0014060003
Normal
N/A
CPT0109130003
Normal
N/A
CPT0138900004
Tumor
N/A
CPT0166680004
Normal
N/A
CPT0094760003
Normal
N/A
CPT0186050004
Normal
N/A
CPT0237290004
Normal
N/A
CPT0264180003
Normal
N/A
CPT0063990003
Normal
N/A
CPT0126200003
Normal
N/A
CPT0198730004
Normal
N/A
Show allShow less
PANCREATIC CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
