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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.
SLC25A5 is not prognostic in Liver Hepatocellular Carcinoma (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
256.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1516.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1000.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
997.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
941.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
893.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
793.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
780.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
727.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
724.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
710.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
707.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
679.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
610.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
599.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
568.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
547.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
530.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
528.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
485.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
481.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
475.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
472.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
467.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
456.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
448.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
445.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
439.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
425.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
423.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
420.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
419.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
415.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
410.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
409.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
404.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
403.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
402.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
402.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
402.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
400.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
398.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
398.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
397.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
395.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
391.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
386.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
385.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
384.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
375.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
374.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
374.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
373.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
372.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
368.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
368.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
367.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
365.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
361.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
360.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
358.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
353.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
352.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
348.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
344.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
344.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
337.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
334.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
332.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
328.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
327.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
326.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
324.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
324.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
323.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
319.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
318.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
317.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
317.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
316.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
315.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
313.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
313.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
311.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
308.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
304.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
302.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
301.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
300.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
300.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
299.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
298.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
297.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
296.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
296.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
296.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
295.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
295.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
294.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
294.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
294.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
293.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
292.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
292.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
287.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
287.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
286.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
284.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
284.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
283.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
282.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
282.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
279.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
276.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
275.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
273.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
273.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
272.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
272.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
272.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
272.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
271.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
269.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
269.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
268.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
267.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
265.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
264.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
264.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
261.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
260.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
260.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
259.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
259.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
259.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
258.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
257.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
257.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
257.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
256.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
256.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
255.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
254.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
253.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
252.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
251.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
251.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
250.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
250.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
250.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
249.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
248.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
248.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
247.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
246.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
246.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
245.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
245.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
245.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
244.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
242.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
242.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
241.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
239.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
237.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
236.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
236.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
236.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
235.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
235.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
235.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
234.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
233.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
233.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
233.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
231.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
230.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
229.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
229.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
229.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
228.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
228.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
227.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
226.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
226.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
225.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
225.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
225.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
223.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
223.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
223.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
221.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
221.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
221.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
221.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
219.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
219.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
218.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
218.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
218.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
218.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
217.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
215.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
215.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
214.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
213.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
212.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
212.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
211.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
210.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
209.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
208.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
208.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
207.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
207.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
205.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
204.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
203.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
202.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
202.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
201.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
198.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
195.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
194.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
193.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
192.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
191.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
189.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
188.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
188.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
187.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
187.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
186.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
186.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
184.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
183.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
183.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
182.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
182.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
182.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
181.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
181.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
181.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
181.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
181.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
180.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
179.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
177.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
177.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
177.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
176.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
176.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
174.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
174.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
173.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
172.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
171.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
169.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
169.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
168.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
168.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
168.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
168.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
167.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
167.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
167.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
166.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
165.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
165.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
165.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
164.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
164.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
163.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
163.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
162.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
162.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
162.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
161.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
161.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
160.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
160.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
160.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
160.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
158.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
158.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
157.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
157.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
156.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
156.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
155.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
154.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
153.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
153.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
152.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
150.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
150.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
150.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
149.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
149.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
149.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
146.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
144.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
143.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
142.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
140.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
140.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
139.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
138.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
138.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
138.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
137.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
136.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
135.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
134.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
133.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
130.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
129.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
128.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
127.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
125.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
124.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
124.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
124.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
121.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
121.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
119.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
118.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
116.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
116.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
115.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
115.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
114.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
114.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
113.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
113.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
107.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
107.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
106.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
105.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
105.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
103.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
100.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
100.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
99.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
94.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
94.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
92.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
91.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
91.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
90.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
89.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
89.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
86.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
70.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
62.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
62.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
57.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
51.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
44.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
42.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
41.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
35.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
SLC25A5 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (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
222.8
Number of samples
231
Samples
Sample
Description
TPM
DO45275
65 years, male, NA, stage:3, dead, 10 days
1075.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
687.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
683.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
660.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
568.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
531.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
528.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
521.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
518.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
504.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
503.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
479.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
473.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
465.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
462.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
451.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
445.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
443.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
432.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
431.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
418.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
416.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
404.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
385.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
382.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
375.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
370.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
363.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
352.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
347.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
346.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
344.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
342.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
338.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
334.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
329.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
321.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
321.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
312.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
311.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
299.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
299.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
298.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
291.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
291.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
290.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
288.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
285.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
283.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
282.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
274.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
271.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
271.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
270.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
268.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
267.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
266.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
263.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
261.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
259.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
258.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
256.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
255.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
255.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
254.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
253.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
246.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
244.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
239.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
238.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
236.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
236.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
234.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
233.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
233.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
232.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
227.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
227.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
226.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
226.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
225.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
224.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
224.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
220.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
219.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
219.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
217.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
217.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
217.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
216.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
215.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
215.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
213.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
212.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
211.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
211.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
211.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
207.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
205.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
203.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
203.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
200.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
199.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
199.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
198.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
196.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
196.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
196.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
195.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
194.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
191.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
191.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
190.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
190.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
188.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
186.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
184.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
184.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
183.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
183.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
180.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
179.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
179.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
178.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
177.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
177.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
176.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
175.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
174.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
174.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
174.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
173.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
173.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
173.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
173.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
171.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
171.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
170.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
170.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
170.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
169.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
169.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
168.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
167.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
167.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
166.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
166.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
166.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
164.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
163.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
162.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
162.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
161.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
160.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
159.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
159.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
159.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
158.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
158.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
157.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
157.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
156.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
156.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
153.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
153.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
152.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
151.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
148.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
146.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
144.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
144.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
140.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
139.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
139.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
138.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
137.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
137.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
137.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
135.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
134.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
134.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
133.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
133.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
131.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
129.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
127.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
125.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
125.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
124.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
124.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
123.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
123.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
123.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
122.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
121.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
117.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
115.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
115.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
115.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
113.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
112.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
111.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
108.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
107.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
105.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
105.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
105.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
105.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
105.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
100.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
99.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
97.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
97.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
96.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
94.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
94.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
93.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
91.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
91.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
89.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
87.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
87.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
84.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
76.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
73.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
71.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
71.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
57.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
50.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
46.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
44.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
627
Tumor
2.0
411
Tumor
1.2
571
Tumor
1.0
1027
Tumor
1.0
1013
Tumor
0.8
785
Tumor
0.8
513
Tumor
0.8
557
Tumor
0.7
465
Tumor
0.7
745
Tumor
0.7
313
Tumor
0.6
857
Tumor
0.6
863
Tumor
0.6
491
Tumor
0.6
925
Tumor
0.6
435
Tumor
0.5
873
Tumor
0.5
515
Tumor
0.5
261
Tumor
0.5
481
Tumor
0.5
851
Tumor
0.4
953
Tumor
0.4
1043
Tumor
0.4
423
Tumor
0.4
527
Tumor
0.4
1045
Tumor
0.4
125
Tumor
0.4
393
Tumor
0.4
365
Tumor
0.4
267
Tumor
0.4
713
Tumor
0.4
742
Normal
0.4
697
Tumor
0.3
227
Tumor
0.3
231
Tumor
0.3
257
Tumor
0.3
357
Tumor
0.3
685
Tumor
0.3
383
Tumor
0.3
436
Normal
0.3
171
Tumor
0.3
721
Tumor
0.3
636
Normal
0.3
824
Normal
0.3
428
Normal
0.2
414
Normal
0.2
433
Tumor
0.2
145
Tumor
0.2
328
Normal
0.2
497
Tumor
0.2
161
Tumor
0.2
618
Normal
0.2
864
Normal
0.2
298
Normal
0.2
573
Tumor
0.2
424
Normal
0.2
862
Normal
0.2
162
Normal
0.2
982
Normal
0.2
913
Tumor
0.2
314
Normal
0.2
147
Tumor
0.2
914
Normal
0.2
615
Tumor
0.2
466
Normal
0.2
786
Normal
0.2
878
Normal
0.2
1016
Normal
0.2
923
Tumor
0.2
868
Normal
0.2
964
Normal
0.2
462
Normal
0.1
358
Normal
0.1
882
Normal
0.1
141
Tumor
0.1
641
Tumor
0.1
472
Normal
0.1
858
Normal
0.1
356
Normal
0.1
912
Normal
0.1
262
Normal
0.1
922
Normal
0.1
852
Normal
0.1
142
Normal
0.1
114
Normal
0.1
866
Normal
0.1
978
Normal
0.1
148
Normal
0.1
482
Normal
0.1
111
Normal
0.1
818
Normal
0.1
136
Normal
0.1
342
Normal
0.1
487
Tumor
0.1
741
Tumor
0.1
464
Normal
0.1
1026
Normal
0.1
128
Normal
0.1
937
Tumor
0.1
488
Normal
0.1
461
Tumor
0.1
756
Normal
0.1
361
Tumor
0.1
272
Normal
0.1
567
Tumor
0.1
746
Normal
0.1
534
Normal
0.1
394
Normal
0.1
451
Tumor
0.1
477
Tumor
0.1
537
Tumor
0.1
1046
Normal
0.1
196
Normal
0.1
616
Normal
0.1
628
Normal
0.1
1032
Normal
0.1
723
Tumor
0.1
258
Normal
0.1
188
Normal
0.1
137
Tumor
0.1
698
Normal
0.1
526
Normal
0.1
938
Normal
0.0
363
Tumor
0.0
926
Normal
0.0
222
Normal
0.0
1014
Normal
0.0
874
Normal
0.0
138
Normal
0.0
446
Normal
0.0
642
Normal
0.0
392
Normal
0.0
816
Normal
0.0
568
Normal
0.0
664
Normal
0.0
452
Normal
0.0
268
Normal
0.0
426
Normal
0.0
968
Normal
0.0
232
Normal
0.0
635
Tumor
0.0
416
Normal
0.0
422
Normal
0.0
648
Normal
0.0
113
Tumor
0.0
432
Normal
0.0
728
Normal
0.0
778
Normal
0.0
564
Normal
0.0
695
Tumor
0.0
744
Normal
0.0
448
Normal
0.0
1042
Normal
0.0
376
Normal
0.0
918
Normal
0.0
514
Normal
0.0
366
Normal
0.0
364
Normal
0.0
738
Normal
0.0
146
Normal
0.0
214
Normal
0.0
662
Normal
0.0
525
Tumor
0.0
172
Normal
0.0
343
Tumor
0.0
412
Normal
0.0
332
Normal
0.0
518
Normal
0.0
362
Normal
0.0
427
Tumor
0.0
277
Tumor
0.0
483
Tumor
0.0
944
Normal
0.0
218
Normal
0.0
286
Normal
0.0
284
Normal
0.0
714
Normal
0.0
468
Normal
0.0
434
Normal
0.0
278
Normal
0.0
696
Normal
0.0
865
Tumor
0.0
352
Normal
0.0
916
Normal
0.0
467
Tumor
0.0
563
Tumor
0.0
135
Tumor
0.0
388
Normal
0.0
112
Tumor
0.0
686
Normal
0.0
528
Normal
0.0
665
Tumor
0.0
572
Normal
0.0
966
Normal
0.0
484
Normal
0.0
722
Normal
0.0
443
Tumor
-0.1
474
Normal
-0.1
952
Normal
-0.1
558
Normal
-0.1
494
Normal
-0.1
228
Normal
-0.1
516
Normal
-0.1
1041
Tumor
-0.1
976
Normal
-0.1
124
Normal
-0.1
924
Normal
-0.1
815
Tumor
-0.1
312
Normal
-0.1
1044
Normal
-0.1
777
Tumor
-0.1
186
Normal
-0.1
354
Normal
-0.1
861
Tumor
-0.1
385
Tumor
-0.1
387
Tumor
-0.1
884
Normal
-0.1
212
Normal
-0.1
911
Tumor
-0.1
574
Normal
-0.1
867
Tumor
-0.1
1015
Tumor
-0.1
478
Normal
-0.1
823
Tumor
-0.1
1022
Normal
-0.1
984
Normal
-0.1
727
Tumor
-0.1
954
Normal
-0.1
368
Normal
-0.1
955
Tumor
-0.1
344
Normal
-0.1
386
Normal
-0.1
456
Normal
-0.1
915
Tumor
-0.1
355
Tumor
-0.1
716
Normal
-0.1
666
Normal
-0.1
396
Normal
-0.1
883
Tumor
-0.1
546
Normal
-0.1
384
Normal
-0.1
195
Tumor
-0.1
755
Tumor
-0.1
445
Tumor
-0.1
132
Normal
-0.1
1028
Normal
-0.1
421
Tumor
-0.2
473
Tumor
-0.2
963
Tumor
-0.2
126
Normal
-0.2
958
Normal
-0.2
672
Normal
-0.2
367
Tumor
-0.2
224
Normal
-0.2
981
Tumor
-0.2
533
Tumor
-0.2
661
Tumor
-0.2
881
Tumor
-0.2
187
Tumor
-0.2
191
Tumor
-0.2
977
Tumor
-0.2
297
Tumor
-0.2
1031
Tumor
-0.2
538
Normal
-0.2
724
Normal
-0.2
455
Tumor
-0.2
663
Tumor
-0.2
217
Tumor
-0.2
956
Normal
-0.2
524
Normal
-0.2
671
Tumor
-0.2
395
Tumor
-0.2
813
Tumor
-0.3
647
Tumor
-0.3
737
Tumor
-0.3
127
Tumor
-0.3
983
Tumor
-0.3
327
Tumor
-0.3
492
Normal
-0.3
814
Normal
-0.3
498
Normal
-0.3
493
Tumor
-0.3
185
Tumor
-0.3
917
Tumor
-0.3
967
Tumor
-0.3
431
Tumor
-0.3
444
Normal
-0.3
192
Normal
-0.3
353
Tumor
-0.3
123
Tumor
-0.3
311
Tumor
-0.3
554
Normal
-0.3
351
Tumor
-0.3
617
Tumor
-0.3
213
Tumor
-0.3
536
Normal
-0.3
447
Tumor
-0.3
375
Tumor
-0.4
943
Tumor
-0.4
413
Tumor
-0.4
221
Tumor
-0.4
463
Tumor
-0.4
341
Tumor
-0.4
1025
Tumor
-0.4
921
Tumor
-0.4
957
Tumor
-0.4
283
Tumor
-0.4
415
Tumor
-0.5
715
Tumor
-0.5
471
Tumor
-0.5
391
Tumor
-0.5
425
Tumor
-0.5
271
Tumor
-0.5
223
Tumor
-0.5
523
Tumor
-0.5
951
Tumor
-0.5
285
Tumor
-0.5
975
Tumor
-0.6
1021
Tumor
-0.6
535
Tumor
-0.6
517
Tumor
-0.6
965
Tumor
-0.6
553
Tumor
-0.6
817
Tumor
-0.6
877
Tumor
-0.7
743
Tumor
-0.7
211
Tumor
-0.7
331
Tumor
-0.9
545
Tumor
-0.9
131
Tumor
-1.0
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LIVER 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
