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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.
RPL30 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 TPM
2292.1
Number of samples
176
Samples
Sample
Description
TPM
TCGA-IB-A7M4-01A
0 years, male, white, stage:Stage IIB, alive, 483 days
5515.6
TCGA-HV-A7OP-01A
0 years, male, asian, stage:Stage IIB, alive, 978 days
5194.5
TCGA-IB-7886-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
4903.2
TCGA-FB-AAQ2-01A
0 years, female, white, stage:Stage IIB, dead, 153 days
4887.8
TCGA-IB-7889-01A
0 years, female, white, stage:Stage IIB, dead, 481 days
4788.6
TCGA-Z5-AAPL-01A
0 years, female, white, stage:Stage IIA, alive, 467 days
4311.1
TCGA-Q3-A5QY-01A
0 years, male, white, stage:Stage IIB, alive, 416 days
3793.2
TCGA-2J-AABI-01A
0 years, female, white, stage:Stage IIA, alive, 969 days
3751.5
TCGA-F2-6879-01A
0 years, male, white, stage:Stage IIB, dead, 334 days
3673.8
TCGA-S4-A8RO-01A
0 years, female, white, stage:Stage IIB, alive, 525 days
3586.5
TCGA-2L-AAQE-01A
0 years, male, white, stage:Stage IIB, dead, 684 days
3561.7
TCGA-3E-AAAZ-01A
0 years, male, white, stage:Stage IIA, dead, 2182 days
3457.7
TCGA-IB-A6UF-01A
0 years, male, white, stage:Stage IIB, alive, 666 days
3448.4
TCGA-HZ-7289-01A
0 years, male, white, stage:Stage IIB, dead, 661 days
3324.1
TCGA-L1-A7W4-01A
0 years, female, white, stage:Stage IIB, dead, 278 days
3311.6
TCGA-IB-A7LX-01A
0 years, male, white, stage:Stage IIB, dead, 250 days
3226.1
TCGA-IB-AAUR-01A
0 years, male, white, stage:Stage IIB, alive, 338 days
3204.2
TCGA-OE-A75W-01A
0 years, male, white, stage:Stage IIA, dead, 267 days
3129.4
TCGA-HZ-A9TJ-01A
0 years, male, white, stage:Stage IV, alive, 603 days
3079.3
TCGA-3A-A9I5-01A
0 years, male, white, stage:'--, alive, 1794 days
3074.2
TCGA-RL-AAAS-01A
0 years, female, white, stage:Stage IB, alive, 9 days
3043.9
TCGA-FB-A5VM-01A
0 years, male, white, stage:Stage IB, dead, 498 days
3033.3
TCGA-HZ-7925-01A
0 years, male, white, stage:Stage IIB, dead, 614 days
3003.5
TCGA-FB-AAQ6-01A
0 years, male, white, stage:Stage IA, dead, 244 days
2979.0
TCGA-H6-8124-01A
0 years, female, white, stage:Stage IIB, alive, 392 days
2976.2
TCGA-HZ-8001-01A
0 years, male, white, stage:Stage III, alive, 706 days
2971.1
TCGA-US-A77J-01A
0 years, female, white, stage:Stage IIB, dead, 568 days
2965.0
TCGA-IB-7644-01A
0 years, female, white, stage:Stage IV, dead, 394 days
2961.2
TCGA-3A-A9IZ-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
2934.9
TCGA-IB-7887-01A
0 years, female, white, stage:Stage IIB, dead, 110 days
2931.1
TCGA-IB-8127-01A
0 years, male, white, stage:Stage IIB, alive, 522 days
2929.8
TCGA-F2-A7TX-01A
0 years, male, white, stage:Stage IIB, dead, 95 days
2927.8
TCGA-3A-A9IB-01A
0 years, female, white, stage:Stage IIB, dead, 224 days
2921.5
TCGA-3A-A9IJ-01A
0 years, male, white, stage:Stage IB, alive, 1854 days
2915.4
TCGA-IB-A6UG-01A
0 years, male, white, stage:Stage IIB, dead, 41 days
2877.0
TCGA-YY-A8LH-01A
0 years, female, white, stage:Stage IIB, alive, 2016 days
2839.7
TCGA-2L-AAQI-01A
0 years, male, white, stage:Stage IIB, dead, 103 days
2832.1
TCGA-IB-7893-01A
0 years, male, white, stage:Stage IIA, dead, 117 days
2825.8
TCGA-IB-A5SS-01A
0 years, female, white, stage:Stage IIB, dead, 460 days
2814.6
TCGA-US-A779-01A
0 years, female, white, stage:Stage IIB, dead, 511 days
2788.0
TCGA-HZ-7922-01A
0 years, female, white, stage:Stage IIB, alive, 4 days
2754.5
TCGA-IB-7890-01A
0 years, male, stage:Stage IB, dead, 598 days
2745.9
TCGA-HZ-A8P1-01A
0 years, male, white, stage:Stage IB, alive, 7 days
2744.4
TCGA-IB-AAUN-01A
0 years, female, white, stage:Stage IB, dead, 144 days
2725.4
TCGA-S4-A8RM-01A
0 years, male, white, stage:Stage IIB, alive, 737 days
2711.8
TCGA-XN-A8T5-01A
0 years, female, white, stage:Stage IB, alive, 720 days
2709.0
TCGA-IB-AAUP-01A
0 years, male, white, stage:Stage IIB, alive, 431 days
2703.7
TCGA-HZ-8005-01A
0 years, male, white, stage:Stage IIB, dead, 120 days
2647.5
TCGA-HV-A5A6-01A
0 years, female, asian, stage:Stage IIB, dead, 2036 days
2595.8
TCGA-HV-A5A3-01A
0 years, male, asian, stage:Stage IIA, dead, 128 days
2589.9
TCGA-HZ-8636-01A
0 years, female, white, stage:Stage IV, dead, 545 days
2583.5
TCGA-FB-AAPU-01A
0 years, female, asian, stage:Stage IIA, dead, 381 days
2546.2
TCGA-FB-AAQ3-01A
0 years, female, white, stage:Stage IIB, dead, 31 days
2533.0
TCGA-FB-A78T-01A
0 years, female, white, stage:Stage IIB, dead, 375 days
2530.9
TCGA-2J-AABP-01A
0 years, female, white, stage:Stage IIB, alive, 463 days
2480.2
TCGA-IB-A5ST-01A
0 years, female, white, stage:Stage IIB, alive, 635 days
2455.4
TCGA-HZ-8002-01A
0 years, male, white, stage:Stage IIB, dead, 366 days
2453.0
TCGA-IB-AAUO-01A
0 years, female, white, stage:Stage IIB, dead, 239 days
2445.8
TCGA-FB-AAQ1-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
2438.6
TCGA-HZ-7920-01A
0 years, male, white, stage:Stage IB, dead, 236 days
2410.4
TCGA-3A-A9IH-01A
0 years, female, white, stage:Stage IA, alive, 1021 days
2400.6
TCGA-IB-AAUV-01A
0 years, male, white, stage:Stage IIB, alive, 404 days
2382.7
TCGA-IB-7888-01A
0 years, female, black or african american, stage:Stage IIA, dead, 1332 days
2380.6
TCGA-HV-A7OL-01A
0 years, male, asian, stage:Stage IIA, alive, 252 days
2377.7
TCGA-2L-AAQA-01A
0 years, male, white, stage:Stage IIB, dead, 143 days
2362.0
TCGA-2L-AAQJ-01A
0 years, female, white, stage:Stage III, dead, 394 days
2349.8
TCGA-3A-A9IU-01A
0 years, male, white, stage:Stage IIB, dead, 458 days
2336.0
TCGA-US-A776-01A
0 years, male, white, stage:Stage IIA, alive, 1216 days
2335.5
TCGA-IB-7646-01A
0 years, male, white, stage:Stage IIB, dead, 145 days
2329.5
TCGA-S4-A8RP-01A
0 years, female, white, stage:Stage IIB, dead, 702 days
2310.8
TCGA-2J-AAB1-01A
0 years, male, white, stage:Stage IIB, dead, 66 days
2300.0
TCGA-IB-A5SQ-01A
0 years, female, white, stage:Stage IB, dead, 219 days
2280.0
TCGA-IB-7897-01A
0 years, female, white, stage:Stage IIB, dead, 486 days
2267.2
TCGA-3A-A9IS-01A
0 years, male, white, stage:Stage IB, alive, 998 days
2265.5
TCGA-XD-AAUI-01A
0 years, female, white, stage:Stage IIB, dead, 366 days
2253.8
TCGA-XD-AAUH-01A
0 years, female, white, stage:Stage IIB, alive, 395 days
2246.1
TCGA-HZ-8519-01A
0 years, male, white, stage:Stage IA, alive, 454 days
2232.0
TCGA-2J-AABK-01A
0 years, male, white, stage:Stage IIB, alive, 484 days
2230.2
TCGA-IB-A5SP-01A
0 years, male, white, stage:Stage IIA, alive, 482 days
2223.5
TCGA-FB-AAPQ-01A
0 years, male, white, stage:Stage IIB, dead, 1130 days
2220.0
TCGA-F2-A8YN-01A
0 years, male, white, stage:Stage IIA, alive, 517 days
2184.1
TCGA-3A-A9IR-01A
0 years, female, white, stage:Stage IB, alive, 1542 days
2183.8
TCGA-RB-AA9M-01A
0 years, male, white, stage:Stage IIB, alive, 286 days
2180.2
TCGA-XD-AAUG-01A
0 years, female, white, stage:Stage IV, alive, 420 days
2176.2
TCGA-3E-AAAY-01A
0 years, male, white, stage:Stage IIB, alive, 2285 days
2168.4
TCGA-HZ-8315-01A
0 years, female, white, stage:Stage IIA, dead, 299 days
2163.6
TCGA-2L-AAQL-01A
0 years, male, white, stage:Stage IIB, dead, 292 days
2149.9
TCGA-Q3-AA2A-01A
0 years, female, white, stage:Stage IB, alive, 95 days
2149.8
TCGA-FB-A545-01A
0 years, female, white, stage:Stage IIB, dead, 732 days
2121.7
TCGA-HZ-7919-01A
0 years, female, white, stage:Stage IIB, dead, 593 days
2118.6
TCGA-2J-AAB8-01A
0 years, male, white, stage:Stage IIB, alive, 80 days
2106.3
TCGA-2J-AABU-01A
0 years, male, white, stage:Stage IIB, dead, 277 days
2096.1
TCGA-IB-A5SO-01A
0 years, male, white, stage:Stage IIB, dead, 365 days
2091.8
TCGA-IB-7649-01A
0 years, female, stage:Stage IIB, dead, 467 days
2089.1
TCGA-FB-AAPS-01A
0 years, female, white, stage:Stage IIB, alive, 228 days
2083.3
TCGA-HZ-7926-01A
0 years, male, black or african american, stage:Stage IIB, dead, 518 days
2079.0
TCGA-3A-A9IX-01A
0 years, male, white, stage:Stage IA, alive, 1037 days
2064.9
TCGA-H8-A6C1-01A
0 years, male, white, stage:Stage IIA, alive, 671 days
2064.4
TCGA-IB-7645-01A
0 years, female, stage:Stage IIB, dead, 1502 days
2063.0
TCGA-PZ-A5RE-01A
0 years, female, white, stage:Stage IIB, dead, 470 days
2056.0
TCGA-IB-AAUW-01A
0 years, female, white, stage:Stage IIB, dead, 230 days
2052.1
TCGA-HZ-A77O-01A
0 years, female, white, stage:Stage IIB, dead, 160 days
2051.4
TCGA-2J-AABO-01A
0 years, male, white, stage:Stage IIB, alive, 440 days
2050.4
TCGA-YH-A8SY-01A
0 years, female, white, stage:'--, alive, 388 days
2024.1
TCGA-3A-A9IO-01A
0 years, male, white, stage:'--, alive, 1942 days
2018.2
TCGA-HZ-8637-01A
0 years, female, white, stage:Stage IIB, dead, 517 days
2017.5
TCGA-US-A77G-01A
0 years, male, white, stage:Stage IIB, dead, 12 days
2000.0
TCGA-3A-A9IC-01A
0 years, female, white, stage:Stage IIB, dead, 738 days
1999.4
TCGA-FB-AAPY-01A
0 years, male, white, stage:Stage IIB, dead, 1059 days
1980.7
TCGA-2J-AABA-01A
0 years, male, white, stage:Stage IIB, dead, 607 days
1975.8
TCGA-HZ-A49H-01A
0 years, female, white, stage:Stage IIB, alive, 491 days
1963.8
TCGA-US-A774-01A
0 years, female, white, stage:Stage IIB, dead, 695 days
1958.9
TCGA-HZ-A77P-01A
0 years, male, white, stage:Stage IIB, alive, 330 days
1941.4
TCGA-YB-A89D-01A
0 years, male, white, stage:Stage IIB, alive, 350 days
1928.4
TCGA-HZ-A77Q-01A
0 years, female, white, stage:Stage IIB, alive, 33 days
1925.8
TCGA-HZ-7918-01A
0 years, male, white, stage:Stage IIB, alive, 969 days
1924.4
TCGA-F2-7276-01A
0 years, male, white, stage:Stage IIB, dead, 216 days
1921.5
TCGA-FB-AAPP-01A
0 years, male, white, stage:Stage IIB, dead, 485 days
1906.8
TCGA-2J-AABT-01A
0 years, female, white, stage:Stage IIB, alive, 319 days
1906.8
TCGA-IB-7654-01A
0 years, male, white, stage:Stage IIB, dead, 476 days
1903.9
TCGA-IB-AAUS-01A
0 years, female, white, stage:Stage IIB, alive, 225 days
1898.3
TCGA-XN-A8T3-01A
0 years, male, white, stage:Stage IB, alive, 951 days
1875.9
TCGA-2J-AAB4-01A
0 years, male, white, stage:Stage IIB, alive, 729 days
1870.6
TCGA-FB-AAPZ-01A
0 years, male, white, stage:Stage IIB, alive, 716 days
1860.9
TCGA-HZ-7924-01A
0 years, female, white, stage:Stage IIA, alive, 840 days
1850.2
TCGA-2J-AABE-01A
0 years, male, white, stage:Stage IIA, alive, 676 days
1843.1
TCGA-3A-A9I7-01A
0 years, male, black or african american, stage:Stage IIB, alive, 1323 days
1842.6
TCGA-HZ-7923-01A
0 years, male, white, stage:Stage IIA, alive, 314 days
1839.1
TCGA-HV-A5A4-01A
0 years, female, asian, stage:Stage IIA, alive, 232 days
1838.7
TCGA-HZ-A49I-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
1820.9
TCGA-LB-A7SX-01A
0 years, female, black or african american, stage:Stage IIB, dead, 393 days
1808.9
TCGA-2J-AABF-01A
0 years, male, white, stage:Stage IIB, dead, 691 days
1776.0
TCGA-IB-7885-01A
0 years, female, white, stage:Stage IIB, alive, 1257 days
1771.3
TCGA-H6-A45N-01A
0 years, female, white, stage:Stage IIB, dead, 397 days
1769.6
TCGA-F2-7273-01A
0 years, male, black or african american, stage:Stage IIB, dead, 592 days
1766.6
TCGA-2J-AAB6-01A
0 years, male, white, stage:Stage IIA, dead, 293 days
1765.9
TCGA-3A-A9J0-01A
0 years, male, white, stage:Stage IIB, alive, 743 days
1763.3
TCGA-IB-7652-01A
0 years, female, asian, stage:Stage IIB, alive, 1116 days
1755.9
TCGA-IB-AAUT-01A
0 years, male, white, stage:Stage IIB, alive, 287 days
1725.9
TCGA-FB-A4P5-01A
0 years, female, white, stage:Stage IIB, dead, 179 days
1715.5
TCGA-FB-A4P6-01A
0 years, male, white, stage:Stage IIB, alive, 767 days
1708.3
TCGA-2J-AABR-01A
0 years, female, white, stage:Stage IIA, alive, 438 days
1697.0
TCGA-XD-AAUL-01A
0 years, male, white, stage:Stage IIA, alive, 498 days
1691.3
TCGA-HZ-A4BH-01A
0 years, male, white, stage:Stage IIB, alive, 194 days
1687.1
TCGA-2J-AAB9-01A
0 years, female, white, stage:Stage IIB, dead, 627 days
1687.0
TCGA-LB-A8F3-01A
0 years, female, black or african american, stage:Stage IIA, alive, 379 days
1683.2
TCGA-IB-7891-01A
0 years, female, white, stage:Stage IIB, dead, 913 days
1678.8
TCGA-RB-A7B8-01A
0 years, female, white, stage:Stage IIB, dead, 466 days
1678.7
TCGA-IB-7651-01A
0 years, female, white, stage:Stage IIB, dead, 603 days
1675.9
TCGA-IB-AAUU-01A
0 years, male, white, stage:Stage IIB, alive, 245 days
1668.0
TCGA-HV-AA8V-01A
0 years, male, asian, stage:Stage IIB, alive, 920 days
1632.6
TCGA-HZ-A49G-01A
0 years, female, white, stage:Stage IIB, alive, 660 days
1616.9
TCGA-HZ-A4BK-01A
0 years, male, white, stage:Stage IIB, alive, 657 days
1584.8
TCGA-FB-AAQ0-01A
0 years, male, white, stage:Stage IIA, dead, 473 days
1554.4
TCGA-HZ-8638-01A
0 years, female, white, stage:Stage IA, dead, 151 days
1550.1
TCGA-2J-AABH-01A
0 years, male, white, stage:Stage IIA, alive, 1287 days
1520.9
TCGA-F2-A44H-01A
0 years, male, white, stage:Stage IIA, alive, 586 days
1517.9
TCGA-US-A77E-01A
0 years, male, white, stage:Stage IIB, dead, 430 days
1513.2
TCGA-HV-AA8X-01A
0 years, female, asian, stage:Stage IIB, dead, 532 days
1509.2
TCGA-FB-A7DR-01A
0 years, male, asian, stage:Stage IIA, dead, 353 days
1456.4
TCGA-F2-A44G-01A
0 years, female, white, stage:Stage IIB, dead, 233 days
1448.5
TCGA-2L-AAQM-01A
0 years, male, white, stage:Stage IIB, alive, 1383 days
1431.7
TCGA-2J-AABV-01A
0 years, male, white, stage:Stage IIB, dead, 652 days
1427.6
TCGA-HV-A5A5-01A
0 years, female, asian, stage:Stage IIB, alive, 289 days
1401.7
TCGA-3A-A9IN-01A
0 years, female, white, stage:Stage IB, alive, 2084 days
1365.5
TCGA-IB-AAUQ-01A
0 years, male, white, stage:Stage IIB, dead, 183 days
1357.0
TCGA-M8-A5N4-01A
0 years, female, stage:Stage IIA, alive, 584 days
1350.8
TCGA-IB-AAUM-01A
0 years, male, white, stage:Stage IIB, alive, 8 days
1305.2
TCGA-3A-A9IL-01A
0 years, female, white, stage:Stage I, alive, 2741 days
1302.8
TCGA-3A-A9I9-01A
0 years, male, white, stage:Stage IIA, dead, 634 days
1274.9
TCGA-IB-8126-01A
0 years, female, white, stage:Stage III, alive, 462 days
1149.9
TCGA-LB-A9Q5-01A
0 years, female, white, stage:Stage IIB, dead, 313 days
1130.5
TCGA-HZ-8317-01A
0 years, female, white, stage:Stage IIB, dead, 378 days
1128.1
TCGA-3A-A9IV-01A
0 years, female, white, stage:Stage IB, alive, 1103 days
914.0
TCGA-HZ-8003-01A
0 years, female, white, stage:Stage IIB, dead, 596 days
823.0
TCGA-F2-6880-01A
0 years, male, white, stage:Stage IIB, alive, 295 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.
RPL30 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 TPM
585.0
Number of samples
80
Samples
Sample
Description
TPM
DO34640
0 years, female, NA, stage:, dead, 287 days
1383.2
DO33400
0 years, female, NA, stage:, alive, 1043 days
1194.7
DO34785
0 years, female, NA, stage:, alive, 721 days
1146.6
DO49080
0 years, male, NA, stage:, alive, 83 days
1121.3
DO33984
0 years, male, NA, stage:, alive, 847 days
1064.0
DO49204
0 years, male, NA, stage:, dead, 156 days
998.0
DO33512
female, NA, stage:, dead, 499 days
963.6
DO32878
0 years, female, NA, stage:, dead, 260 days
890.1
DO34817
0 years, female, NA, stage:, alive, 540 days
876.7
DO49168
0 years, male, NA, stage:, alive, 149 days
869.1
DO33368
0 years, male, NA, stage:, dead, 98 days
852.0
DO49079
0 years, male, NA, stage:, dead, 332 days
842.7
DO34608
0 years, female, NA, stage:, dead, 709 days
840.7
DO34504
0 years, male, NA, stage:, dead, 257 days
839.1
DO34961
0 years, male, NA, stage:, dead, 632 days
826.0
DO34696
0 years, male, NA, stage:, alive, 689 days
797.3
DO49164
0 years, male, NA, stage:, alive, 272 days
771.0
DO33128
0 years, male, NA, stage:, dead, 423 days
737.7
DO49133
0 years, female, NA, stage:, alive, 188 days
729.5
DO49137
0 years, female, NA, stage:, alive, 232 days
728.2
DO49193
0 years, male, NA, stage:, dead, 1 days
713.0
DO33488
0 years, male, NA, stage:, alive, 844 days
700.2
DO34656
0 years, female, NA, stage:, alive, 834 days
674.7
DO32863
0 years, male, NA, stage:, dead, 715 days
671.7
DO34240
0 years, male, NA, stage:, dead, 236 days
652.9
DO34736
0 years, female, NA, stage:, dead, 203 days
652.8
DO49170
0 years, male, NA, stage:, alive, 197 days
643.2
DO49130
0 years, female, NA, stage:, alive, 351 days
627.0
DO33392
0 years, male, NA, stage:, alive, 1014 days
621.1
DO34288
0 years, female, NA, stage:, dead, 220 days
619.3
DO49135
0 years, male, NA, stage:, alive, 270 days
605.7
DO49127
0 years, female, NA, stage:, alive, 392 days
603.6
DO32860
0 years, male, NA, stage:, dead, 1259 days
597.7
DO49178
0 years, male, NA, stage:, dead, 27 days
597.6
DO34801
0 years, male, NA, stage:, alive, 626 days
597.5
DO33336
0 years, female, NA, stage:, dead, 451 days
596.5
DO34720
0 years, male, NA, stage:, alive, 555 days
592.4
DO49113
0 years, female, NA, stage:, alive, 413 days
587.6
DO34432
0 years, female, NA, stage:, dead, 400 days
574.8
DO34600
0 years, male, NA, stage:, dead, 537 days
569.6
DO34905
0 years, male, NA, stage:, alive, 1142 days
554.3
DO49087
0 years, female, NA, stage:, dead, 260 days
553.6
DO34809
0 years, female, NA, stage:, dead, 297 days
548.9
DO49129
0 years, male, NA, stage:, alive, 337 days
541.5
DO32900
0 years, male, NA, stage:, dead, 768 days
541.1
DO34680
0 years, male, NA, stage:, dead, 99 days
537.3
DO32875
0 years, male, NA, stage:, dead, 348 days
534.5
DO34728
0 years, female, NA, stage:, alive, 508 days
533.5
DO49185
0 years, male, NA, stage:, alive, 179 days
523.8
DO49166
0 years, female, NA, stage:, alive, 222 days
522.2
DO49078
0 years, male, NA, stage:, dead, 465 days
515.6
DO33480
0 years, male, NA, stage:, alive, 1054 days
513.2
DO34312
0 years, female, NA, stage:, dead, 226 days
506.5
DO34616
0 years, female, NA, stage:, alive, 666 days
483.0
DO33168
0 years, female, NA, stage:, dead, 8 days
476.0
DO34264
0 years, female, NA, stage:, dead, 1144 days
453.9
DO34368
0 years, female, NA, stage:, dead, 537 days
452.7
DO33600
0 years, female, NA, stage:, alive, 854 days
452.0
DO34793
0 years, male, NA, stage:, dead, 427 days
429.9
DO34849
0 years, female, NA, stage:, dead, 272 days
429.8
DO49183
0 years, female, NA, stage:, dead, 429 days
429.8
DO49090
0 years, female, NA, stage:, dead, 152 days
420.1
DO34448
0 years, female, NA, stage:, dead, 719 days
412.4
DO33376
0 years, female, NA, stage:, alive, 909 days
391.7
DO33408
0 years, female, NA, stage:, alive, 909 days
391.2
DO49076
0 years, male, NA, stage:, dead, 480 days
380.4
DO33544
0 years, female, NA, stage:, dead, 412 days
365.9
DO33472
0 years, female, NA, stage:, dead, 388 days
349.4
DO33344
0 years, male, NA, stage:, dead, 361 days
346.9
DO33552
0 years, female, NA, stage:, alive, 873 days
346.7
DO32829
0 years, female, NA, stage:T2N0MX, dead, 1874 days
331.5
DO49138
0 years, male, NA, stage:, dead, 230 days
328.4
DO49181
0 years, male, NA, stage:, dead, 1534 days
313.8
DO49172
0 years, female, NA, stage:, dead, 1021 days
230.8
DO49074
0 years, male, NA, stage:, dead, 168 days
185.5
DO49198
0 years, female, NA, stage:, dead, 251 days
145.7
DO49199
0 years, male, NA, stage:, dead, 1095 days
129.0
DO49175
0 years, male, NA, stage:, dead, 414 days
106.7
DO49184
0 years, male, NA, stage:, dead, 455 days
106.0
DO34336
0 years, female, NA, stage:, alive, 743 days
19.0
Show allShow less
PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0239920004
Normal
1.3
CPT0063580003
Normal
1.2
CPT0127290003
Normal
1.1
CPT0238740004
Normal
1.0
CPT0170260004
Normal
1.0
C3L-00189-04
Normal
0.9
CPT0123460003
Normal
0.9
CPT0236800004
Normal
0.9
CPT0238640004
Normal
0.9
CPT0091680003
Normal
0.9
CPT0025760003
Normal
0.8
CPT0198930003
Normal
0.8
CPT0208710004
Normal
0.8
CPT0208850004
Normal
0.8
CPT0218220004
Normal
0.8
CPT0248440003
Normal
0.8
CPT0209650004
Normal
0.8
CPT0078180003
Normal
0.7
CPT0347820002
Normal
0.7
CPT0239140004
Normal
0.7
CPT0237850004
Normal
0.7
CPT0089750004
Normal
0.7
CPT0347880002
Normal
0.7
CPT0187540004
Normal
0.7
C3N-00709-06
Normal
0.7
CPT0183770004
Normal
0.6
CPT0237920004
Normal
0.6
CPT0355190003
Normal
0.6
CPT0238940004
Normal
0.6
CPT0123890003
Normal
0.6
CPT0011540003
Normal
0.6
CPT0123770003
Normal
0.6
CPT0123670003
Normal
0.6
C3L-03632-04
Normal
0.5
CPT0162780004
Normal
0.5
CPT0077810003
Normal
0.5
C3N-02573-03
Normal
0.5
CPT0236360004
Normal
0.5
CPT0077950003
Normal
0.5
CPT0125010003
Normal
0.5
CPT0017130003
Normal
0.5
CPT0347760002
Normal
0.4
CPT0247090003
Tumor
0.4
CPT0347850002
Normal
0.4
CPT0276030003
Normal
0.4
CPT0124000003
Normal
0.3
CPT0108960003
Normal
0.3
CPT0166780004
Normal
0.3
CPT0355200003
Normal
0.3
CPT0086210003
Normal
0.3
CPT0236710004
Normal
0.3
CPT0093880003
Normal
0.3
CPT0093860003
Tumor
0.2
CPT0246220004
Normal
0.2
CPT0198440004
Normal
0.2
CPT0347790002
Normal
0.2
CPT0246950003
Normal
0.2
CPT0124610004
Tumor
0.2
CPT0246810003
Tumor
0.1
CPT0124530003
Normal
0.1
CPT0226600004
Tumor
0.1
CPT0248620003
Normal
0.1
CPT0236340004
Tumor
0.1
CPT0236560004
Tumor
0.0
CPT0092630003
Tumor
0.0
CPT0241320005
Tumor
0.0
CPT0239100009
Tumor
0.0
CPT0094030003
Tumor
0.0
CPT0235230004
Tumor
0.0
CPT0221240004
Tumor
0.0
CPT0019300004
Tumor
0.0
CPT0237840004
Tumor
0.0
CPT0207780004
Tumor
0.0
CPT0065570003
Tumor
0.0
CPT0124500004
Tumor
-0.1
CPT0139000004
Tumor
-0.1
CPT0094180003
Tumor
-0.1
CPT0208840004
Tumor
-0.1
CPT0162670004
Normal
-0.1
CPT0064570003
Normal
-0.1
CPT0208690004
Tumor
-0.1
CPT0019410004
Tumor
-0.1
CPT0207990004
Normal
-0.1
CPT0248590004
Tumor
-0.1
CPT0064110003
Normal
-0.1
CPT0064090003
Tumor
-0.1
CPT0238610009
Tumor
-0.1
CPT0161770004
Tumor
-0.1
CPT0276010003
Tumor
-0.1
CPT0209640005
Tumor
-0.1
CPT0091660003
Tumor
-0.1
CPT0248410004
Tumor
-0.1
CPT0081060004
Tumor
-0.1
CPT0089720003
Tumor
-0.1
CPT0247000003
Normal
-0.1
CPT0238440005
Tumor
-0.2
CPT0063570003
Tumor
-0.2
CPT0123650003
Tumor
-0.2
CPT0170240004
Tumor
-0.2
CPT0237910004
Tumor
-0.2
WU-PDA1
Tumor
-0.2
CPT0166760004
Tumor
-0.2
CPT0083270003
Tumor
-0.2
CPT0078090004
Tumor
-0.2
C3L-00401-04
Normal
-0.2
CPT0208550005
Tumor
-0.2
CPT0014040003
Tumor
-0.2
CPT0264150003
Tumor
-0.2
CPT0094740004
Tumor
-0.2
CPT0236700005
Tumor
-0.2
CPT0226680005
Tumor
-0.2
CPT0217700004
Tumor
-0.2
CPT0001750003
Normal
-0.2
CPT0187550004
Tumor
-0.2
CPT0064520004
Tumor
-0.2
CPT0239910004
Tumor
-0.2
CPT0246210004
Tumor
-0.2
CPT0185920004
Tumor
-0.2
CPT0161990005
Tumor
-0.2
CPT0086190004
Tumor
-0.2
CPT0123750003
Tumor
-0.3
CPT0238710004
Tumor
-0.3
CPT0198700005
Tumor
-0.3
CPT0197440004
Normal
-0.3
CPT0081260004
Tumor
-0.3
CPT0088320003
Tumor
-0.3
CPT0226530004
Tumor
-0.3
CPT0207980005
Tumor
-0.3
CPT0077880003
Normal
-0.3
CPT0226760004
Tumor
-0.3
CPT0138990003
Normal
-0.3
CPT0077930004
Tumor
-0.3
CPT0198420004
Tumor
-0.3
CPT0125090003
Tumor
-0.3
CPT0197420004
Tumor
-0.3
CPT0126160004
Tumor
-0.3
CPT0008750003
Tumor
-0.3
CPT0246260004
Tumor
-0.3
CPT0001730017
Tumor
-0.3
CPT0011520003
Tumor
-0.3
CPT0226490004
Tumor
-0.3
CPT0236780005
Tumor
-0.3
CPT0081470004
Tumor
-0.3
CPT0187930005
Tumor
-0.3
CPT0198910005
Tumor
-0.3
CPT0226570004
Tumor
-0.3
CPT0087890004
Tumor
-0.3
CPT0108930003
Tumor
-0.3
CPT0241510004
Normal
-0.3
CPT0093930004
Tumor
-0.3
CPT0238920004
Tumor
-0.3
CPT0094230004
Tumor
-0.3
CPT0221470005
Tumor
-0.3
CPT0008800003
Tumor
-0.3
CPT0246840003
Tumor
-0.3
CPT0183750005
Tumor
-0.4
CPT0078160004
Tumor
-0.4
CPT0066020003
Normal
-0.4
CPT0162660004
Tumor
-0.4
CPT0162760003
Tumor
-0.4
CPT0254680003
Tumor
-0.4
CPT0124360003
Tumor
-0.4
CPT0094130004
Tumor
-0.4
CPT0125130003
Tumor
-0.4
CPT0355180003
Normal
-0.4
CPT0077860003
Tumor
-0.4
CPT0109300004
Tumor
-0.4
CPT0081360004
Tumor
-0.4
CPT0218200004
Tumor
-0.4
CPT0246990003
Tumor
-0.4
KoreanReference2
Tumor
-0.4
CPT0109200004
Tumor
-0.4
CPT0088180004
Tumor
-0.4
CPT0203850004
Tumor
-0.4
CPT0226650004
Tumor
-0.4
CPT0025750003
Tumor
-0.4
CPT0238820005
Tumor
-0.4
CPT0246940003
Tumor
-0.4
CPT0247040003
Tumor
-0.4
CPT0183450005
Tumor
-0.4
CPT0238040005
Tumor
-0.4
CPT0238530005
Tumor
-0.4
CPT0000250017
Tumor
-0.4
CPT0124410004
Tumor
-0.4
CPT0127270003
Tumor
-0.4
CPT0221250004
Normal
-0.4
CPT0224460004
Tumor
-0.5
CPT0123440003
Tumor
-0.5
CPT0124980004
Tumor
-0.5
CPT0017040004
Tumor
-0.5
CPT0094630004
Tumor
-0.5
CPT0065640003
Tumor
-0.5
CPT0237270005
Tumor
-0.5
CPT0123860003
Tumor
-0.5
CPT0077790004
Tumor
-0.5
CPT0093980004
Tumor
-0.5
CPT0063970004
Tumor
-0.5
CPT0226610004
Normal
-0.5
KoreanReference1
Tumor
-0.5
CPT0246720003
Tumor
-0.5
CPT0123990003
Tumor
-0.6
CPT0078030003
Normal
-0.6
CPT0227930004
Tumor
-0.6
CPT0078000003
Tumor
-0.6
CPT0094940004
Tumor
-0.6
CPT0241500004
Tumor
-0.6
CPT0174800003
Normal
-0.6
CPT0088260004
Tumor
-0.7
CPT0108400003
Tumor
-0.7
CPT0209310004
Tumor
-0.7
CPT0078250003
Tumor
-0.7
KoreanReference3
Tumor
-0.7
CPT0186040004
Tumor
-0.8
CPT0109010004
Tumor
-0.8
CPT0174700004
Tumor
-0.9
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
