Expression of RPL13A in melanoma - The Human Protein Atlas

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RPL13A

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TISSUE

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PATHOLOGY

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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

RPL13A is not prognostic in melanoma

Stage:

Survival analysis

Current cut offⁱ:
Best expression cut offⁱ: 883.54
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

725.9

Number of samples

102

Samples

Sample	Description	FPKM
TCGA-D9-A4Z3-01A	73 years, female, white, stage:iiic, alive, 505 days	2592.7
TCGA-EB-A41B-01A	76 years, female, white, stage:iic, alive, 291 days	2187.9
TCGA-XV-A9VZ-01A	90 years, female, white, stage:ii, alive, 11 days	2098.5
TCGA-EB-A5UM-01A	48 years, female, white, stage:iic, alive, 779 days	1744.9
TCGA-ER-A42H-01A	77 years, male, white, dead, 426 days	1441.6
TCGA-EB-A4OY-01A	65 years, female, white, stage:iiib, alive, 977 days	1433.5
TCGA-ER-A19T-01A	51 years, male, white, stage:iv, dead, 270 days	1381.1
TCGA-ER-A2NF-01A	53 years, male, white, stage:iiib, dead, 877 days	1342.4
TCGA-BF-AAP2-01A	62 years, male, white, stage:iib, alive, 405 days	1322.8
TCGA-EB-A3XE-01A	77 years, female, white, stage:iia, alive, 180 days	1301.3
TCGA-EB-A5SE-01A	73 years, male, white, stage:iib, dead, 401 days	1264.2
TCGA-EB-A4XL-01A	56 years, female, white, stage:iic, alive, 777 days	1178.1
TCGA-EB-A4P0-01A	82 years, male, white, stage:iic, dead, 326 days	1167.5
TCGA-BF-AAP8-01A	58 years, male, white, stage:iic, alive, 447 days	1090.9
TCGA-EB-A85J-01A	66 years, female, white, stage:iib, alive, 360 days	1087.6
TCGA-XV-AAZW-01A	62 years, female, white, stage:ii, dead, 393 days	1042.6
TCGA-IH-A3EA-01A	61 years, male, white, stage:iic, alive, 524 days	999.5
TCGA-EB-A3HV-01A	37 years, male, white, stage:iic, alive, 39 days	963.0
TCGA-EB-A82B-01A	58 years, female, asian, stage:iii, alive, 390 days	901.6
TCGA-EB-A6QZ-01A	76 years, female, white, stage:iia, dead, 352 days	899.5
TCGA-EB-A42Y-01A	73 years, female, asian, stage:iic, dead, 721 days	887.3
TCGA-EB-A550-01A	75 years, female, white, stage:iic, dead, 264 days	885.5
TCGA-EB-A299-01A	63 years, male, white, stage:iia, alive, 378 days	881.6
TCGA-BF-AAOU-01A	73 years, female, white, stage:iic, alive, 476 days	864.6
TCGA-BF-A3DN-01A	81 years, female, white, stage:iiic, alive, 717 days	861.2
TCGA-BF-AAP1-01A	86 years, male, white, stage:iic, alive, 409 days	852.1
TCGA-EB-A82C-01A	70 years, female, asian, stage:iic, alive, 17 days	834.4
TCGA-BF-A9VF-01A	77 years, male, white, stage:iic, alive, 440 days	834.4
TCGA-BF-A5EO-01A	65 years, male, white, stage:iic, alive, 703 days	794.5
TCGA-BF-A1Q0-01A	80 years, male, white, stage:iic, alive, 831 days	794.3
TCGA-D3-A5GT-01A	43 years, male, white, stage:iiic, alive, 487 days	788.2
TCGA-ER-A196-01A	64 years, female, white, stage:iic, alive, 1785 days	785.5
TCGA-EB-A5VU-01A	56 years, male, asian, stage:iiib, dead, 321 days	770.7
TCGA-BF-A1PV-01A	74 years, female, white, stage:iic, alive, 14 days	763.9
TCGA-EB-A57M-01A	56 years, male, asian, stage:iiib, dead, 472 days	763.6
TCGA-GN-A8LN-01A	68 years, male, white, stage:iic, alive, 772 days	752.3
TCGA-GF-A769-01A	39 years, male, white, stage:iic, dead, 1070 days	732.6
TCGA-XV-AAZV-01A	56 years, female, white, stage:ii, alive, 412 days	710.8
TCGA-EB-A24C-01A	56 years, male, white, alive, 632 days	703.6
TCGA-FS-A1ZN-01A	43 years, male, white, stage:iiia, dead, 730 days	693.9
TCGA-GF-A2C7-01A	48 years, male, white, stage:iic, alive, 21 days	687.1
TCGA-XV-AAZY-01A	76 years, female, white, stage:iiic, alive, 405 days	684.3
TCGA-EB-A4OZ-01A	42 years, female, white, stage:iiic, alive, 620 days	681.3
TCGA-BF-AAOX-01A	83 years, male, white, stage:iic, alive, 444 days	669.4
TCGA-EB-A3XC-01A	74 years, male, white, stage:iic, alive, 650 days	666.5
TCGA-EB-A4IQ-01A	42 years, female, asian, stage:iiib, dead, 636 days	658.4
TCGA-BF-A1PX-01A	56 years, male, white, stage:iiib, dead, 282 days	657.5
TCGA-D9-A4Z5-01A	68 years, male, white, stage:iib, alive, 218 days	651.7
TCGA-ER-A19K-01A	79 years, female, white, stage:iic, dead, 469 days	649.8
TCGA-BF-A1PU-01A	46 years, female, white, stage:iic, alive, 387 days	627.0
TCGA-XV-A9W2-01A	81 years, male, white, stage:i, alive, 417 days	624.3
TCGA-BF-AAP7-01A	76 years, female, white, stage:iic, alive, 318 days	619.8
TCGA-BF-A5EP-01A	75 years, female, white, stage:iiic, alive, 335 days	619.6
TCGA-EB-A24D-01A	72 years, male, white, stage:iiib, alive, 645 days	608.6
TCGA-EB-A3XD-01A	53 years, female, white, stage:iic, alive, 1160 days	603.0
TCGA-GN-A4U5-01A	61 years, female, white, stage:ib, alive, 1156 days	599.2
TCGA-ER-A2NB-01A	57 years, male, white, stage:iiib, dead, 857 days	597.1
TCGA-XV-A9W5-01A	51 years, male, white, stage:i/ii nos, alive, 392 days	586.4
TCGA-EB-A3XF-01A	57 years, male, white, stage:iic, alive, 278 days	575.5
TCGA-EB-A44N-01A	59 years, male, white, stage:iic, dead, 205 days	573.8
TCGA-YG-AA3N-01A	67 years, male, stage:iic, alive, 306 days	569.1
TCGA-D9-A4Z2-01A	50 years, male, white, stage:iiic, dead, 190 days	559.8
TCGA-EB-A51B-01A	53 years, male, white, stage:iic, alive, 931 days	557.2
TCGA-EB-A97M-01A	66 years, male, white, stage:iic, alive, 414 days	554.9
TCGA-EB-A41A-01A	90 years, male, white, stage:iic, alive, 262 days	549.4
TCGA-EB-A44P-01A	58 years, female, white, stage:iic, alive, 741 days	546.3
TCGA-BF-A3DL-01A	84 years, female, white, stage:iiib, alive, 769 days	544.5
TCGA-EB-A4IS-01A	77 years, male, white, stage:iib, alive, 774 days	540.8
TCGA-DA-A960-01A	73 years, male, white, stage:iib, alive, 804 days	535.6
TCGA-BF-A5EQ-01A	63 years, male, white, stage:iic, alive, 323 days	531.6
TCGA-BF-A5ER-01A	63 years, male, white, stage:iic, alive, 327 days	530.9
TCGA-BF-A3DM-01A	63 years, male, white, stage:iia, alive, 601 days	505.2
TCGA-EB-A553-01A	62 years, male, white, stage:iic, alive, 226 days	504.9
TCGA-FR-A728-01A	54 years, female, white, stage:iiib, alive, 583 days	482.3
TCGA-D9-A3Z4-01A	54 years, male, white, stage:iiic, dead, 519 days	472.7
TCGA-ER-A194-01A	77 years, male, white, dead, 1354 days	470.2
TCGA-HR-A5NC-01A	90 years, female, alive, 1000 days	460.4
TCGA-FR-A726-01A	90 years, male, white, stage:iic, dead, 305 days	458.2
TCGA-EB-A3Y7-01A	86 years, female, white, stage:iiib, dead, 326 days	443.8
TCGA-EB-A6R0-01A	58 years, female, white, stage:iic, dead, 608 days	441.9
TCGA-EB-A42Z-01A	49 years, male, asian, stage:iiic, alive, 441 days	441.8
TCGA-BF-A1PZ-01A	71 years, female, white, stage:iib, alive, 853 days	440.4
TCGA-EB-A5SF-01A	78 years, female, white, stage:iic, dead, 369 days	425.3
TCGA-EB-A1NK-01A	48 years, male, white, stage:iic, alive, 1039 days	419.4
TCGA-EB-A44O-01A	69 years, male, white, stage:iib, alive, 81 days	416.5
TCGA-BF-AAP6-01A	55 years, male, white, stage:iii, alive, 325 days	413.9
TCGA-GN-A26C-01A	77 years, male, white, stage:iiic, dead, 821 days	412.2
TCGA-FR-A3R1-01A	69 years, male, white, stage:iic, alive, 685 days	409.4
TCGA-FR-A2OS-01A	49 years, female, white, stage:iic, dead, 368 days	391.6
TCGA-EB-A431-01A	34 years, male, white, stage:iic, alive, 568 days	379.3
TCGA-BF-A5ES-01A	76 years, female, white, stage:iic, alive, 490 days	355.0
TCGA-WE-A8K4-01A	85 years, male, white, stage:iib, alive, 614 days	349.6
TCGA-EB-A6QY-01A	71 years, male, white, stage:iic, alive, 382 days	345.3
TCGA-EB-A5FP-01A	65 years, female, white, stage:iv, dead, 454 days	343.2
TCGA-EB-A3Y6-01A	56 years, female, white, stage:iic, alive, 126 days	320.3
TCGA-EB-A551-01A	78 years, female, white, stage:iiic, alive, 590 days	308.2
TCGA-BF-AAP4-01A	61 years, male, white, stage:iic, alive, 335 days	292.2
TCGA-EB-A85I-01A	66 years, male, white, stage:iic, alive, 362 days	272.4
TCGA-GN-A263-01A	24 years, male, white, stage:iv, dead, 467 days	271.7
TCGA-EB-A3XB-01A	63 years, male, white, stage:ii, alive, 796 days	264.0
TCGA-BF-A3DJ-01A	36 years, female, white, stage:iiib, alive, 464 days	259.1
TCGA-FW-A5DX-01A	71 years, male, white, stage:iiic, alive, 640 days	218.8
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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 HPA038751
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.