Expression of HLA-A in glioma - The Human Protein Atlas

GLIOMA - 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

HLA-A is not prognostic in glioma

Stage:

Survival analysis

Current cut offⁱ :

Best expression cut offⁱ : 238.4

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

435.8

Number of samples

153

Samples

Sample	Description	FPKM
TCGA-12-3653-01A	34 years, female, white, dead, 442 days	2485.8
TCGA-12-3652-01A	60 years, male, white, dead, 1062 days	1565.6
TCGA-32-4213-01A	47 years, female, white, alive, 604 days	1161.6
TCGA-27-1831-01A	66 years, male, white, dead, 505 days	1146.1
TCGA-26-5136-01B	78 years, female, white, dead, 577 days	1088.3
TCGA-41-2572-01A	67 years, male, white, dead, 406 days	999.4
TCGA-32-2638-01A	67 years, male, white, dead, 766 days	968.0
TCGA-28-2499-01A	59 years, male, white, dead, 95 days	889.2
TCGA-02-0055-01A	62 years, female, white, dead, 76 days	871.9
TCGA-32-2632-01A	80 years, male, white, dead, 269 days	870.9
TCGA-14-0790-01B	64 years, female, white, dead, 419 days	849.0
TCGA-06-2563-01A	72 years, female, white, alive, 932 days	843.8
TCGA-27-1837-01A	36 years, male, white, dead, 427 days	814.0
TCGA-27-2526-01A	79 years, female, white, dead, 87 days	776.7
TCGA-14-0817-01A	69 years, female, white, dead, 164 days	764.1
TCGA-02-2486-01A	64 years, male, white, dead, 618 days	743.7
TCGA-14-0789-01A	54 years, male, white, dead, 342 days	721.7
TCGA-06-0139-01A	40 years, male, white, dead, 362 days	680.2
TCGA-06-5412-01A	78 years, female, white, dead, 138 days	667.8
TCGA-28-5204-01A	72 years, male, white, dead, 454 days	665.5
TCGA-06-0187-01A	69 years, male, white, dead, 828 days	663.8
TCGA-14-1829-01A	57 years, male, black or african american, alive, 218 days	658.2
TCGA-12-5299-01A	56 years, female, white, dead, 98 days	644.6
TCGA-06-2557-01A	76 years, male, black or african american, dead, 33 days	626.6
TCGA-32-1970-01A	59 years, male, white, dead, 468 days	625.8
TCGA-32-2616-01A	48 years, female, white, dead, 224 days	625.8
TCGA-06-0750-01A	43 years, male, white, dead, 28 days	615.0
TCGA-12-0619-01A	60 years, male, white, dead, 1062 days	613.9
TCGA-28-5213-01A	72 years, male, white, alive, 951 days	594.5
TCGA-06-0745-01A	59 years, male, white, dead, 239 days	590.7
TCGA-32-1982-01A	76 years, female, white, dead, 142 days	575.5
TCGA-19-2629-01A	60 years, male, white, dead, 737 days	573.8
TCGA-12-3650-01A	46 years, male, white, dead, 333 days	568.2
TCGA-06-0878-01A	74 years, male, white, alive, 218 days	566.7
TCGA-06-0130-01A	54 years, male, white, dead, 394 days	553.8
TCGA-28-1747-01C	44 years, male, white, dead, 77 days	550.3
TCGA-06-0644-01A	71 years, male, black or african american, dead, 384 days	549.5
TCGA-16-0846-01A	85 years, male, white, dead, 119 days	547.5
TCGA-06-0645-01A	56 years, female, white, dead, 175 days	536.3
TCGA-28-2514-01A	45 years, male, asian, alive, 160 days	533.2
TCGA-06-0132-01A	49 years, male, white, dead, 771 days	531.1
TCGA-06-5408-01A	54 years, female, white, dead, 357 days	527.5
TCGA-27-2524-01A	56 years, male, white, dead, 231 days	523.9
TCGA-06-5416-01A	23 years, female, white, alive, 204 days	515.6
TCGA-76-4928-01B	85 years, female, white, dead, 94 days	510.7
TCGA-28-1753-01A	53 years, male, white, alive, 37 days	504.1
TCGA-27-2519-01A	48 years, male, white, dead, 550 days	496.3
TCGA-19-4065-01A	36 years, male, white, alive, 214 days	475.6
TCGA-28-5216-01A	52 years, male, white, alive, 415 days	474.0
TCGA-28-2513-01A	69 years, female, white, alive, 222 days	469.8
TCGA-12-0616-01A	36 years, female, white, dead, 448 days	468.5
TCGA-27-2523-01A	63 years, male, white, dead, 489 days	467.9
TCGA-06-5859-01A	63 years, male, white, alive, 139 days	466.9
TCGA-06-0168-01A	59 years, female, white, dead, 598 days	464.8
TCGA-76-4932-01A	50 years, female, white, dead, 1458 days	456.8
TCGA-32-5222-01A	66 years, male, white, dead, 585 days	449.1
TCGA-06-5414-01A	61 years, male, white, alive, 273 days	446.8
TCGA-19-1787-01B	49 years, male, white, dead, 385 days	437.4
TCGA-14-0787-01A	69 years, male, asian, dead, 68 days	435.1
TCGA-06-0184-01A	63 years, male, white, dead, 2126 days	433.6
TCGA-06-0210-01A	72 years, female, white, dead, 225 days	428.4
TCGA-06-0649-01B	73 years, female, black or african american, dead, 64 days	424.1
TCGA-41-3915-01A	48 years, male, white, dead, 360 days	407.9
TCGA-12-5295-01A	60 years, female, white, dead, 454 days	407.5
TCGA-06-0747-01A	53 years, male, white, dead, 82 days	403.0
TCGA-06-0219-01A	67 years, male, white, dead, 22 days	402.8
TCGA-26-5135-01A	72 years, female, white, dead, 270 days	402.1
TCGA-26-5134-01A	74 years, male, white, alive, 167 days	401.6
TCGA-27-1830-01A	57 years, male, white, dead, 154 days	400.5
TCGA-06-5858-01A	45 years, female, white, alive, 187 days	398.9
TCGA-06-0190-01A	62 years, male, white, dead, 317 days	398.6
TCGA-14-1034-01A	60 years, female, dead, 485 days	393.8
TCGA-06-5410-01A	72 years, female, white, dead, 108 days	393.4
TCGA-27-1834-01A	56 years, male, white, dead, 1233 days	391.6
TCGA-32-2615-01A	62 years, male, white, dead, 485 days	385.0
TCGA-16-1045-01B	49 years, female, white, dead, 883 days	384.6
TCGA-02-2483-01A	43 years, male, asian, alive, 466 days	382.2
TCGA-15-0742-01A	65 years, male, white, dead, 419 days	377.8
TCGA-06-0211-01B	47 years, male, white, dead, 360 days	376.9
TCGA-06-5413-01A	67 years, male, white, alive, 268 days	373.1
TCGA-27-1835-01A	53 years, female, white, dead, 648 days	367.3
TCGA-06-0141-01A	62 years, male, white, dead, 313 days	366.0
TCGA-26-5132-01A	74 years, male, white, alive, 286 days	358.9
TCGA-19-2625-01A	76 years, female, white, dead, 124 days	358.6
TCGA-28-5209-01A	66 years, female, white, alive, 77 days	352.1
TCGA-06-2564-01A	50 years, male, white, alive, 181 days	351.4
TCGA-06-0744-01A	67 years, male, white, dead, 1426 days	348.8
TCGA-06-0156-01A	57 years, male, white, dead, 178 days	333.2
TCGA-06-0686-01A	53 years, male, white, dead, 432 days	328.9
TCGA-14-0781-01B	49 years, male, black or african american, dead, 29 days	324.0
TCGA-06-0129-01A	30 years, male, asian, dead, 1024 days	322.9
TCGA-28-2509-01A	77 years, female, white, alive, 145 days	316.0
TCGA-06-0646-01A	61 years, male, white, dead, 175 days	311.1
TCGA-19-2619-01A	55 years, female, black or african american, alive, 294 days	303.1
TCGA-28-5208-01A	52 years, male, white, dead, 544 days	302.4
TCGA-19-2620-01A	70 years, male, white, dead, 148 days	302.1
TCGA-26-5133-01A	59 years, male, white, alive, 452 days	301.8
TCGA-06-0882-01A	30 years, male, white, dead, 632 days	299.5
TCGA-76-4927-01A	58 years, male, white, dead, 535 days	298.9
TCGA-41-4097-01A	63 years, female, white, dead, 6 days	293.6
TCGA-26-5139-01A	65 years, female, white, alive, 48 days	291.8
TCGA-15-1444-01A	21 years, male, white, dead, 1537 days	287.6
TCGA-06-0743-01A	69 years, male, white, dead, 803 days	281.1
TCGA-06-2562-01A	81 years, male, white, dead, 382 days	280.6
TCGA-06-2567-01A	65 years, male, white, dead, 133 days	276.3
TCGA-28-5207-01A	71 years, male, white, dead, 343 days	274.7
TCGA-06-0749-01A	50 years, male, black or african american, dead, 82 days	269.3
TCGA-06-2565-01A	59 years, male, asian, dead, 506 days	267.5
TCGA-08-0386-01A	74 years, male, white, dead, 548 days	265.2
TCGA-27-2528-01A	62 years, male, white, dead, 480 days	263.0
TCGA-06-0238-01A	46 years, male, white, dead, 405 days	260.4
TCGA-12-0821-01A	62 years, male, white, dead, 323 days	259.6
TCGA-27-1832-01A	59 years, female, white, dead, 300 days	259.3
TCGA-06-5418-01A	75 years, female, white, dead, 83 days	250.4
TCGA-06-0174-01A	54 years, male, white, dead, 98 days	249.7
TCGA-06-0157-01A	63 years, female, white, dead, 97 days	248.7
TCGA-06-0138-01A	43 years, male, white, dead, 737 days	247.0
TCGA-76-4931-01A	70 years, female, white, dead, 279 days	245.6
TCGA-06-5856-01A	58 years, male, white, dead, 114 days	241.7
TCGA-02-0047-01A	78 years, male, white, dead, 448 days	238.6
TCGA-14-1823-01A	58 years, female, white, dead, 543 days	238.2
TCGA-12-1597-01B	62 years, female, white, dead, 675 days	238.2
TCGA-41-2571-01A	89 years, male, white, dead, 26 days	237.4
TCGA-06-0158-01A	73 years, male, white, dead, 329 days	233.9
TCGA-02-2485-01A	53 years, male, black or african american, alive, 470 days	229.5
TCGA-19-1390-01A	63 years, female, white, dead, 772 days	228.3
TCGA-76-4925-01A	76 years, male, white, dead, 146 days	228.3
TCGA-76-4926-01B	68 years, male, white, dead, 138 days	223.7
TCGA-06-2559-01A	83 years, male, white, dead, 150 days	223.7
TCGA-28-5218-01A	63 years, male, white, dead, 157 days	221.6
TCGA-41-5651-01A	59 years, female, black or african american, dead, 460 days	221.2
TCGA-28-5215-01A	62 years, female, white, dead, 335 days	220.5
TCGA-76-4929-01A	76 years, female, white, dead, 111 days	212.4
TCGA-32-1980-01A	72 years, male, white, dead, 36 days	205.0
TCGA-26-1442-01A	43 years, male, white, alive, 953 days	200.6
TCGA-12-0618-01A	49 years, male, white, dead, 395 days	197.7
TCGA-14-2554-01A	52 years, female, white, dead, 532 days	193.5
TCGA-06-2570-01A	21 years, female, white, alive, 958 days	183.8
TCGA-06-2558-01A	75 years, female, white, dead, 380 days	178.9
TCGA-19-2624-01A	51 years, male, white, dead, 5 days	170.3
TCGA-06-5417-01A	45 years, female, white, alive, 155 days	169.1
TCGA-28-5220-01A	67 years, male, white, dead, 388 days	168.5
TCGA-27-2521-01A	34 years, male, white, dead, 510 days	166.5
TCGA-06-0178-01A	39 years, male, white, dead, 2681 days	163.8
TCGA-06-5411-01A	51 years, male, white, dead, 254 days	158.0
TCGA-06-2561-01A	53 years, female, white, dead, 537 days	150.1
TCGA-06-0125-01A	63 years, female, white, dead, 1448 days	142.4
TCGA-32-2634-01A	82 years, male, white, alive, 693 days	136.9
TCGA-14-0871-01A	75 years, female, white, dead, 880 days	136.5
TCGA-14-1825-01A	70 years, male, white, dead, 232 days	132.7
TCGA-06-1804-01A	81 years, female, white, dead, 414 days	97.2
TCGA-19-5960-01A	56 years, male, white, dead, 455 days	65.3
TCGA-06-2569-01A	24 years, female, black or african american, alive, 13 days	42.4
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GLIOMA - Protein expressionⁱ

Pending cancer tissue analysis