Expression of RPL19 in melanoma - The Human Protein Atlas

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RPL19

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MELANOMA - Interactive survival scatter plotⁱ

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisⁱ

RPL19 is not prognostic in melanoma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 435.63
Median expressionⁱ: N/A
Median follow up timeⁱ: N/A
P scoreⁱ N/A
3-year survival highⁱ N/A
3-year survival lowⁱ N/A

TCGA RNA samplesⁱ

Average FPKM

552.1

Number of samples

102

Samples

Sample	Description	FPKM
TCGA-EB-A5UM-01A	48 years, female, white, stage:iic, alive, 779 days	1389.9
TCGA-EB-A4P0-01A	82 years, male, white, stage:iic, dead, 326 days	1377.9
TCGA-EB-A41B-01A	76 years, female, white, stage:iic, alive, 291 days	1366.5
TCGA-BF-AAP8-01A	58 years, male, white, stage:iic, alive, 447 days	1115.9
TCGA-D9-A4Z3-01A	73 years, female, white, stage:iiic, alive, 505 days	1060.5
TCGA-XV-A9VZ-01A	90 years, female, white, stage:ii, alive, 11 days	966.3
TCGA-EB-A3XE-01A	77 years, female, white, stage:iia, alive, 180 days	955.2
TCGA-BF-AAP2-01A	62 years, male, white, stage:iib, alive, 405 days	924.6
TCGA-BF-A9VF-01A	77 years, male, white, stage:iic, alive, 440 days	902.3
TCGA-GF-A769-01A	39 years, male, white, stage:iic, dead, 1070 days	897.0
TCGA-EB-A4XL-01A	56 years, female, white, stage:iic, alive, 777 days	886.8
TCGA-EB-A85J-01A	66 years, female, white, stage:iib, alive, 360 days	870.0
TCGA-XV-AAZY-01A	76 years, female, white, stage:iiic, alive, 405 days	844.9
TCGA-XV-AAZW-01A	62 years, female, white, stage:ii, dead, 393 days	830.7
TCGA-EB-A4OY-01A	65 years, female, white, stage:iiib, alive, 977 days	823.4
TCGA-EB-A5SE-01A	73 years, male, white, stage:iib, dead, 401 days	819.5
TCGA-DA-A960-01A	73 years, male, white, stage:iib, alive, 804 days	813.4
TCGA-ER-A2NF-01A	53 years, male, white, stage:iiib, dead, 877 days	770.0
TCGA-BF-A1Q0-01A	80 years, male, white, stage:iic, alive, 831 days	752.6
TCGA-ER-A42H-01A	77 years, male, white, dead, 426 days	748.5
TCGA-EB-A42Y-01A	73 years, female, asian, stage:iic, dead, 721 days	726.0
TCGA-IH-A3EA-01A	61 years, male, white, stage:iic, alive, 524 days	712.2
TCGA-BF-AAOU-01A	73 years, female, white, stage:iic, alive, 476 days	690.8
TCGA-EB-A6QZ-01A	76 years, female, white, stage:iia, dead, 352 days	678.2
TCGA-ER-A194-01A	77 years, male, white, dead, 1354 days	675.9
TCGA-EB-A4OZ-01A	42 years, female, white, stage:iiic, alive, 620 days	664.7
TCGA-EB-A3HV-01A	37 years, male, white, stage:iic, alive, 39 days	631.9
TCGA-EB-A41A-01A	90 years, male, white, stage:iic, alive, 262 days	608.6
TCGA-EB-A299-01A	63 years, male, white, stage:iia, alive, 378 days	598.9
TCGA-GF-A2C7-01A	48 years, male, white, stage:iic, alive, 21 days	594.5
TCGA-EB-A3XC-01A	74 years, male, white, stage:iic, alive, 650 days	591.1
TCGA-BF-AAOX-01A	83 years, male, white, stage:iic, alive, 444 days	581.2
TCGA-EB-A553-01A	62 years, male, white, stage:iic, alive, 226 days	567.6
TCGA-EB-A3Y7-01A	86 years, female, white, stage:iiib, dead, 326 days	558.5
TCGA-FR-A728-01A	54 years, female, white, stage:iiib, alive, 583 days	557.5
TCGA-EB-A5VU-01A	56 years, male, asian, stage:iiib, dead, 321 days	543.5
TCGA-ER-A19K-01A	79 years, female, white, stage:iic, dead, 469 days	543.2
TCGA-D3-A5GT-01A	43 years, male, white, stage:iiic, alive, 487 days	535.7
TCGA-BF-A1PU-01A	46 years, female, white, stage:iic, alive, 387 days	531.3
TCGA-EB-A97M-01A	66 years, male, white, stage:iic, alive, 414 days	528.2
TCGA-BF-AAP7-01A	76 years, female, white, stage:iic, alive, 318 days	520.4
TCGA-BF-A1PV-01A	74 years, female, white, stage:iic, alive, 14 days	515.9
TCGA-XV-A9W2-01A	81 years, male, white, stage:i, alive, 417 days	513.6
TCGA-EB-A24D-01A	72 years, male, white, stage:iiib, alive, 645 days	513.1
TCGA-GN-A8LN-01A	68 years, male, white, stage:iic, alive, 772 days	512.5
TCGA-BF-A1PZ-01A	71 years, female, white, stage:iib, alive, 853 days	510.9
TCGA-D9-A4Z2-01A	50 years, male, white, stage:iiic, dead, 190 days	500.5
TCGA-EB-A1NK-01A	48 years, male, white, stage:iic, alive, 1039 days	499.5
TCGA-EB-A82B-01A	58 years, female, asian, stage:iii, alive, 390 days	494.6
TCGA-GN-A4U5-01A	61 years, female, white, stage:ib, alive, 1156 days	490.2
TCGA-FR-A726-01A	90 years, male, white, stage:iic, dead, 305 days	486.2
TCGA-BF-A1PX-01A	56 years, male, white, stage:iiib, dead, 282 days	477.3
TCGA-EB-A44P-01A	58 years, female, white, stage:iic, alive, 741 days	476.8
TCGA-FS-A1ZN-01A	43 years, male, white, stage:iiia, dead, 730 days	476.5
TCGA-EB-A3XF-01A	57 years, male, white, stage:iic, alive, 278 days	474.3
TCGA-BF-AAP1-01A	86 years, male, white, stage:iic, alive, 409 days	467.4
TCGA-ER-A196-01A	64 years, female, white, stage:iic, alive, 1785 days	461.5
TCGA-EB-A24C-01A	56 years, male, white, alive, 632 days	458.3
TCGA-EB-A550-01A	75 years, female, white, stage:iic, dead, 264 days	455.2
TCGA-BF-A3DN-01A	81 years, female, white, stage:iiic, alive, 717 days	445.2
TCGA-XV-AAZV-01A	56 years, female, white, stage:ii, alive, 412 days	444.1
TCGA-EB-A6R0-01A	58 years, female, white, stage:iic, dead, 608 days	441.8
TCGA-EB-A3XD-01A	53 years, female, white, stage:iic, alive, 1160 days	439.1
TCGA-BF-AAP4-01A	61 years, male, white, stage:iic, alive, 335 days	438.9
TCGA-BF-A5ER-01A	63 years, male, white, stage:iic, alive, 327 days	437.2
TCGA-GN-A263-01A	24 years, male, white, stage:iv, dead, 467 days	434.0
TCGA-EB-A82C-01A	70 years, female, asian, stage:iic, alive, 17 days	433.5
TCGA-YG-AA3N-01A	67 years, male, stage:iic, alive, 306 days	432.6
TCGA-EB-A3Y6-01A	56 years, female, white, stage:iic, alive, 126 days	430.6
TCGA-ER-A2NB-01A	57 years, male, white, stage:iiib, dead, 857 days	428.5
TCGA-XV-A9W5-01A	51 years, male, white, stage:i/ii nos, alive, 392 days	427.3
TCGA-BF-A3DM-01A	63 years, male, white, stage:iia, alive, 601 days	424.4
TCGA-BF-A3DL-01A	84 years, female, white, stage:iiib, alive, 769 days	419.7
TCGA-ER-A19T-01A	51 years, male, white, stage:iv, dead, 270 days	418.4
TCGA-EB-A85I-01A	66 years, male, white, stage:iic, alive, 362 days	411.5
TCGA-EB-A4IS-01A	77 years, male, white, stage:iib, alive, 774 days	409.9
TCGA-EB-A44N-01A	59 years, male, white, stage:iic, dead, 205 days	409.7
TCGA-EB-A3XB-01A	63 years, male, white, stage:ii, alive, 796 days	401.5
TCGA-FR-A2OS-01A	49 years, female, white, stage:iic, dead, 368 days	399.8
TCGA-EB-A51B-01A	53 years, male, white, stage:iic, alive, 931 days	399.8
TCGA-D9-A3Z4-01A	54 years, male, white, stage:iiic, dead, 519 days	399.1
TCGA-EB-A42Z-01A	49 years, male, asian, stage:iiic, alive, 441 days	385.5
TCGA-EB-A57M-01A	56 years, male, asian, stage:iiib, dead, 472 days	384.0
TCGA-HR-A5NC-01A	90 years, female, alive, 1000 days	383.4
TCGA-BF-A5EQ-01A	63 years, male, white, stage:iic, alive, 323 days	368.5
TCGA-EB-A6QY-01A	71 years, male, white, stage:iic, alive, 382 days	368.4
TCGA-BF-AAP6-01A	55 years, male, white, stage:iii, alive, 325 days	355.5
TCGA-EB-A5FP-01A	65 years, female, white, stage:iv, dead, 454 days	343.9
TCGA-BF-A5ES-01A	76 years, female, white, stage:iic, alive, 490 days	336.1
TCGA-WE-A8K4-01A	85 years, male, white, stage:iib, alive, 614 days	324.9
TCGA-FR-A3R1-01A	69 years, male, white, stage:iic, alive, 685 days	313.6
TCGA-BF-A5EP-01A	75 years, female, white, stage:iiic, alive, 335 days	313.1
TCGA-EB-A431-01A	34 years, male, white, stage:iic, alive, 568 days	311.6
TCGA-EB-A5SF-01A	78 years, female, white, stage:iic, dead, 369 days	303.5
TCGA-GN-A26C-01A	77 years, male, white, stage:iiic, dead, 821 days	286.8
TCGA-EB-A4IQ-01A	42 years, female, asian, stage:iiib, dead, 636 days	281.3
TCGA-BF-A3DJ-01A	36 years, female, white, stage:iiib, alive, 464 days	267.7
TCGA-BF-A5EO-01A	65 years, male, white, stage:iic, alive, 703 days	250.3
TCGA-EB-A551-01A	78 years, female, white, stage:iiic, alive, 590 days	245.8
TCGA-FW-A5DX-01A	71 years, male, white, stage:iiic, alive, 640 days	245.6
TCGA-EB-A44O-01A	69 years, male, white, stage:iib, alive, 81 days	195.5
TCGA-D9-A4Z5-01A	68 years, male, white, stage:iib, alive, 218 days	186.2
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MELANOMA - Protein expressionⁱ A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here. Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Antibody stainingⁱ Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high. This score is based on the staining intensity and fraction of stained cells. Read more	Antibody HPA043014
Staining
High
Medium
Low
Not detected
Intensity
Strong
Moderate
Weak
Negative
Quantity
>75%
75%-25%
<25%
None
Location
Nuclear
Cytoplasmic/membranous
Cytoplasmic/membranous,nuclear
None
Click images for details

Contact

contact@proteinatlas.org

The Project

The Human Protein Atlas

The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.