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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.
SPCS2 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
100.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
1465.2
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
446.7
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
284.4
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
252.1
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
215.0
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
199.9
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
199.6
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
191.7
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
187.7
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
186.9
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
186.4
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
185.5
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
181.9
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
178.9
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
171.5
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
170.9
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
170.7
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
168.5
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
168.4
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
163.6
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
163.4
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
163.4
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
161.1
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
159.9
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
159.6
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
158.9
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
158.9
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
158.8
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
157.6
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
154.8
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
150.9
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
150.9
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
149.6
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
147.1
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
146.0
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
144.8
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
143.2
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
142.4
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
141.5
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
140.8
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
140.5
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
140.5
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
138.6
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
138.0
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
137.9
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
135.7
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
135.0
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
134.7
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
134.5
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
134.5
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
131.2
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
131.0
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
130.0
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
129.8
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
129.5
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
128.9
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
128.2
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
128.1
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
127.4
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
126.6
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
126.4
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
125.3
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
124.8
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
123.7
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
123.2
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
122.9
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
122.5
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
122.4
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
122.2
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
121.8
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
121.6
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
121.5
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
121.5
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
120.9
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
120.8
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
119.3
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
119.1
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
119.1
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
118.7
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
118.5
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
118.1
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
117.5
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
117.1
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
116.9
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
115.9
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
115.8
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
115.5
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
115.2
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
114.9
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
114.6
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
114.4
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
113.5
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
113.0
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
112.5
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
112.1
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
111.5
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
111.0
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
110.9
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
110.9
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
110.8
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
109.8
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
109.8
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
109.6
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
109.6
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
109.4
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
109.2
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
109.0
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
107.6
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
107.5
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
107.4
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
107.1
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
105.7
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
105.6
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
105.1
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
104.7
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
104.2
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
104.2
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
104.1
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
103.9
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
103.8
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
103.7
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
103.5
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
103.4
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
103.2
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
102.7
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
102.6
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
102.3
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
102.1
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
102.1
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
101.7
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
101.5
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
101.4
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
101.4
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
101.3
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
101.1
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
100.9
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
100.5
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
99.8
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
99.6
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
99.5
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
99.4
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
99.3
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
99.2
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
99.0
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
98.7
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
98.5
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
98.4
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
97.9
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
97.0
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
96.7
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
96.7
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
96.6
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
96.3
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
95.8
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
95.7
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
95.7
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
95.6
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
95.5
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
95.4
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
95.2
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
95.2
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
95.0
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
94.6
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
94.1
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
94.1
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
93.7
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
93.5
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
93.5
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
93.4
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
93.2
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
92.9
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
92.8
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
92.3
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
92.2
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
92.1
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
92.1
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
91.8
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
91.8
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
91.8
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
91.6
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
91.4
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
90.6
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
90.5
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
89.9
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
89.0
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
88.8
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
88.7
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
88.6
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
88.1
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
87.0
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
87.0
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
86.6
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
86.5
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
86.0
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
85.8
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
85.8
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
85.7
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
85.5
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
85.5
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
85.5
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
85.1
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
84.9
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
84.8
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
84.4
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
84.3
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
84.3
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
84.2
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
84.1
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
83.9
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
83.9
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
83.7
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
83.7
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
83.7
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
83.6
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
83.0
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
82.8
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
82.6
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
82.3
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
82.1
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
82.0
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
81.7
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
81.6
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
81.6
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
81.4
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
81.3
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
81.0
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
80.8
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
80.5
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
80.2
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
80.2
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
80.1
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
80.1
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
79.9
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
79.8
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
79.8
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
79.7
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
79.7
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
79.5
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
79.5
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
79.0
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
79.0
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
79.0
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
78.9
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
78.7
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
78.7
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
78.3
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
77.8
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
77.2
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
76.6
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
76.6
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
76.4
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
76.1
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
76.0
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
76.0
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
75.8
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
75.7
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
75.6
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
75.1
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
74.9
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
74.2
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
73.7
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
73.4
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
72.5
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
71.9
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
71.6
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
71.4
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
71.4
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
71.3
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
71.3
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
70.8
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
70.6
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
70.3
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
70.0
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
69.6
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
69.1
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
69.1
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
68.8
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
68.7
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
68.3
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
68.2
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
67.7
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
67.6
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
67.5
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
67.3
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
67.3
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
67.2
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
66.9
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
66.7
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
66.6
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
66.5
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
65.8
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
65.7
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
65.4
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
65.3
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
64.9
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
64.7
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
64.1
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
64.0
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
64.0
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
63.9
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
63.7
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
63.6
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
63.6
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
63.0
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
62.3
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
62.2
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
61.9
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
61.4
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
61.3
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
60.7
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
60.2
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
60.0
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
59.7
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
59.5
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
59.1
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
59.0
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
58.9
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
58.9
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
58.6
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
58.4
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
57.7
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
57.0
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
56.6
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
56.6
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
56.5
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
55.7
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
55.6
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
55.3
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
54.7
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
54.5
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
54.3
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
54.3
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
54.2
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
54.2
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
53.8
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
53.7
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
53.1
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
53.1
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
51.7
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
51.5
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
49.8
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
49.5
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
49.1
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
48.4
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
48.2
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
47.7
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
47.5
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
46.6
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
46.0
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
44.8
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
44.4
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
41.6
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
40.9
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
40.3
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
38.8
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
37.7
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
35.4
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
35.4
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
33.9
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
31.1
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
16.7
TCGA-DD-A3A6-01A
0 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.
SPCS2 is not prognostic 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
9.7
Number of samples
231
Samples
Sample
Description
TPM
DO45119
0 years, male, NA, stage:3, dead, 510 days
27.2
DO45217
0 years, female, NA, stage:3, dead, 270 days
23.4
DO45239
0 years, male, NA, stage:2, alive, 870 days
23.0
DO45191
0 years, female, NA, stage:2, alive, 1200 days
20.8
DO45145
0 years, male, NA, stage:3, dead, 60 days
19.8
DO50806
0 years, male, NA, stage:4, alive, 540 days
19.7
DO45103
0 years, male, NA, stage:3, alive, 450 days
19.3
DO23515
0 years, male, NA, stage:2, alive, 1230 days
17.4
DO45183
0 years, female, NA, stage:2, dead, 570 days
16.8
DO45243
0 years, female, NA, stage:3, alive, 930 days
16.5
DO45105
0 years, male, NA, stage:1, alive, 1680 days
16.3
DO50839
0 years, female, NA, stage:3, alive, 330 days
16.3
DO48733
0 years, male, NA, stage:2, alive, 600 days
16.0
DO45277
0 years, male, NA, stage:3, alive, 600 days
15.4
DO48737
0 years, male, NA, stage:1, alive, 720 days
15.4
DO45265
0 years, male, NA, stage:3, alive, 1020 days
15.3
DO45305
0 years, male, NA, stage:4, alive, 300 days
15.2
DO48723
0 years, male, NA, stage:1, alive, 600 days
15.1
DO45303
0 years, female, NA, stage:3, alive, 990 days
14.9
DO45285
0 years, male, NA, stage:3, alive, 480 days
14.9
DO23526
0 years, male, NA, stage:3, alive, 1050 days
14.5
DO48728
0 years, female, NA, stage:2, alive, 150 days
14.3
DO45221
0 years, female, NA, stage:4, dead, 390 days
14.1
DO48747
0 years, male, NA, stage:3, alive, 540 days
14.1
DO23540
0 years, male, NA, stage:1, alive, 750 days
14.1
DO45273
0 years, male, NA, stage:2, alive, 480 days
14.0
DO45203
0 years, female, NA, stage:2, alive, 1170 days
13.7
DO48704
0 years, female, NA, stage:3, alive, 750 days
13.6
DO45143
0 years, male, NA, stage:3, alive, 1290 days
13.5
DO45092
0 years, male, NA, stage:4, dead, 1200 days
13.5
DO45097
0 years, male, NA, stage:3, alive, 1620 days
13.4
DO45213
0 years, male, NA, stage:1, alive, 1200 days
13.3
DO45249
0 years, male, NA, stage:1, alive, 630 days
13.3
DO45245
0 years, female, NA, stage:2, dead, 240 days
13.3
DO45289
0 years, female, NA, stage:3, alive, 360 days
13.1
DO23510
0 years, female, NA, stage:2, alive, 870 days
13.0
DO45125
0 years, male, NA, stage:3, alive, 1680 days
13.0
DO45287
0 years, male, NA, stage:1, alive, 390 days
12.9
DO45219
0 years, male, NA, stage:2, alive, 1080 days
12.7
DO45257
0 years, male, NA, stage:3, alive, 810 days
12.6
DO23539
0 years, male, NA, stage:1, alive, 1110 days
12.5
DO45241
0 years, male, NA, stage:1, alive, 1080 days
12.5
DO23524
0 years, female, NA, stage:2, alive, 1050 days
12.4
DO48697
0 years, female, NA, stage:2, dead, 810 days
12.4
DO45247
0 years, female, NA, stage:2, alive, 210 days
12.4
DO50811
0 years, male, NA, stage:1, alive, 450 days
12.2
DO45227
0 years, female, NA, stage:2, alive, 1020 days
12.2
DO45173
0 years, male, NA, stage:3, alive, 1170 days
12.1
DO45091
0 years, male, NA, stage:2, dead, 1320 days
11.9
DO45127
0 years, male, NA, stage:3, dead, 420 days
11.8
DO45299
0 years, female, NA, stage:1, alive, 1440 days
11.8
DO45251
0 years, female, NA, stage:2, alive, 900 days
11.7
DO48720
0 years, female, NA, stage:2, alive, 570 days
11.7
DO50793
0 years, male, NA, stage:4, alive, 540 days
11.6
DO50778
0 years, male, NA, stage:4, alive, 630 days
11.6
DO45253
0 years, male, NA, stage:2, alive, 870 days
11.6
DO50815
0 years, male, NA, stage:3, alive, 150 days
11.6
DO45131
0 years, male, NA, stage:4, dead, 360 days
11.5
DO48715
0 years, female, NA, stage:2, dead, 690 days
11.3
DO50840
0 years, male, NA, stage:2, alive, 330 days
11.2
DO45095
0 years, male, NA, stage:2, alive, 1620 days
11.2
DO45149
0 years, female, NA, stage:2, alive, 1260 days
11.2
DO23525
0 years, male, NA, stage:4, alive, 1050 days
11.2
DO48701
0 years, male, NA, stage:2, alive, 780 days
11.2
DO45185
0 years, male, NA, stage:2, alive, 600 days
11.1
DO48706
0 years, male, NA, stage:2, alive, 870 days
11.1
DO23512
0 years, male, NA, stage:1, alive, 1260 days
11.1
DO48672
0 years, male, NA, stage:2, alive, 450 days
11.1
DO50829
0 years, male, NA, stage:3, alive, 570 days
11.0
DO48681
0 years, male, NA, stage:2, alive, 900 days
11.0
DO45215
0 years, male, NA, stage:2, alive, 1170 days
11.0
DO23549
0 years, male, NA, stage:3, alive, 990 days
11.0
DO23537
0 years, male, NA, stage:2, dead, 900 days
10.9
DO45135
0 years, male, NA, stage:1, alive, 1410 days
10.9
DO45307
0 years, female, NA, stage:4, dead, 240 days
10.9
DO48725
0 years, male, NA, stage:1, alive, 780 days
10.9
DO45209
0 years, male, NA, stage:4, alive, 1350 days
10.9
DO45275
0 years, male, NA, stage:3, dead, 10 days
10.8
DO50814
0 years, male, NA, stage:3, alive, 420 days
10.8
DO48682
0 years, female, NA, stage:3, dead, 120 days
10.8
DO50783
0 years, male, NA, stage:3, alive, 480 days
10.7
DO48717
0 years, male, NA, stage:4, dead, 180 days
10.7
DO45205
0 years, female, NA, stage:2, dead, 90 days
10.7
DO23519
0 years, male, NA, stage:3, alive, 630 days
10.6
DO45211
0 years, male, NA, stage:3, alive, 240 days
10.6
DO45279
0 years, male, NA, stage:3, alive, 1290 days
10.5
DO45225
0 years, male, NA, stage:1, alive, 1050 days
10.5
DO23516
0 years, male, NA, stage:3, dead, 20 days
10.5
DO45137
0 years, male, NA, stage:1, alive, 1320 days
10.5
DO45093
0 years, male, NA, stage:2, dead, 720 days
10.5
DO48730
0 years, female, NA, stage:2, alive, 630 days
10.4
DO45269
0 years, male, NA, stage:3, alive, 750 days
10.3
DO50845
0 years, male, NA, stage:3, alive, 210 days
10.3
DO50850
0 years, male, NA, stage:3, alive, 720 days
10.3
DO45165
0 years, male, NA, stage:2, alive, 690 days
10.2
DO23552
0 years, female, NA, stage:1, alive, 810 days
10.0
DO50785
0 years, male, NA, stage:4, dead, 90 days
10.0
DO50855
0 years, male, NA, stage:2, alive, 570 days
9.9
DO45099
0 years, male, NA, stage:3, alive, 1590 days
9.9
DO50825
0 years, male, NA, stage:2, alive, 390 days
9.8
DO45281
0 years, male, NA, stage:4, alive, 750 days
9.7
DO23535
0 years, male, NA, stage:1, alive, 960 days
9.7
DO45223
0 years, male, NA, stage:4, alive, 1020 days
9.7
DO48736
0 years, female, NA, stage:1, alive, 600 days
9.6
DO23547
0 years, male, NA, stage:1, alive, 1020 days
9.6
DO45153
0 years, female, NA, stage:2, alive, 1380 days
9.5
DO45121
0 years, male, NA, stage:3, alive, 1530 days
9.5
DO48719
0 years, male, NA, stage:2, alive, 690 days
9.4
DO23533
0 years, male, NA, stage:2, alive, 900 days
9.3
DO45123
0 years, female, NA, stage:2, dead, 570 days
9.3
DO45167
0 years, male, NA, stage:2, dead, 1440 days
9.3
DO45161
0 years, male, NA, stage:2, dead, 540 days
9.3
DO45207
0 years, male, NA, stage:1, alive, 1050 days
9.3
DO45297
0 years, female, NA, stage:4, dead, 1260 days
9.2
DO45141
0 years, male, NA, stage:2, alive, 1320 days
9.2
DO45229
0 years, male, NA, stage:1, alive, 990 days
9.2
DO45169
0 years, male, NA, stage:3, alive, 1350 days
9.2
DO45267
0 years, male, NA, stage:3, dead, 570 days
9.1
DO50808
0 years, male, NA, stage:2, alive, 570 days
9.1
DO23548
0 years, female, NA, stage:1, alive, 840 days
9.1
DO50805
0 years, male, NA, stage:2, alive, 690 days
9.1
DO48751
0 years, male, NA, stage:2, dead, 480 days
9.0
DO50817
0 years, male, NA, stage:2, alive, 390 days
9.0
DO45187
0 years, female, NA, stage:1, alive, 1260 days
8.9
DO45283
0 years, male, NA, stage:3, alive, 510 days
8.9
DO50802
0 years, male, NA, stage:2, alive, 930 days
8.9
DO48712
0 years, male, NA, stage:2, alive, 810 days
8.9
DO23541
0 years, male, NA, stage:2, alive, 930 days
8.9
DO45163
0 years, male, NA, stage:2, alive, 960 days
8.8
DO48700
0 years, female, NA, stage:2, alive, 810 days
8.8
DO45231
0 years, male, NA, stage:2, alive, 930 days
8.7
DO23508
0 years, female, NA, stage:2, alive, 390 days
8.5
DO45113
0 years, male, NA, stage:3, alive, 1560 days
8.5
DO50859
0 years, male, NA, stage:2, alive, 180 days
8.4
DO45101
0 years, male, NA, stage:2, alive, 1680 days
8.3
DO45109
0 years, male, NA, stage:2, alive, 1590 days
8.3
DO23511
0 years, female, NA, stage:3, dead, 180 days
8.3
DO45301
0 years, male, NA, stage:2, dead, 1440 days
8.3
DO50791
0 years, female, NA, stage:1, dead, 480 days
8.3
DO23523
0 years, male, NA, stage:3, alive, 1080 days
8.2
DO45157
0 years, male, NA, stage:2, alive, 1980 days
8.2
DO50789
0 years, female, NA, stage:2, alive, 570 days
8.1
DO48759
0 years, male, NA, stage:3, alive, 720 days
8.0
DO50822
0 years, male, NA, stage:2, alive, 510 days
8.0
DO23514
0 years, male, NA, stage:2, alive, 1290 days
8.0
DO50776
0 years, male, NA, stage:1, alive, 690 days
8.0
DO45255
0 years, male, NA, stage:3, alive, 720 days
8.0
DO45189
0 years, female, NA, stage:2, alive, 1200 days
8.0
DO45179
0 years, female, NA, stage:2, alive, 600 days
7.9
DO23536
0 years, male, NA, stage:2, alive, 930 days
7.9
DO50820
0 years, female, NA, stage:3, alive, 510 days
7.9
DO45155
0 years, male, NA, stage:2, alive, 2160 days
7.9
DO227801
0 years, female, NA, stage:1, alive, 660 days
7.9
DO45197
0 years, male, NA, stage:2, alive, 1170 days
7.8
DO50816
0 years, male, NA, stage:2, alive, 390 days
7.8
DO50813
0 years, male, NA, stage:2, alive, 420 days
7.7
DO45117
0 years, female, NA, stage:2, dead, 1110 days
7.7
DO50799
0 years, female, NA, stage:2, alive, 540 days
7.6
DO23518
0 years, male, NA, stage:2, alive, 1320 days
7.6
DO23513
0 years, male, NA, stage:3, alive, 1200 days
7.6
DO48679
0 years, male, NA, stage:2, alive, 1200 days
7.6
DO23532
0 years, female, NA, stage:1, alive, 960 days
7.6
DO50809
0 years, male, NA, stage:3, dead, 720 days
7.6
DO48677
0 years, male, NA, stage:3, alive, 1140 days
7.5
DO23529
0 years, male, NA, stage:4, alive, 930 days
7.5
DO23543
0 years, male, NA, stage:2, alive, 1020 days
7.5
DO45171
0 years, male, NA, stage:3, alive, 600 days
7.5
DO45159
0 years, male, NA, stage:3, alive, 1470 days
7.4
DO50800
0 years, male, NA, stage:2, alive, 510 days
7.4
DO48743
0 years, female, NA, stage:2, alive, 570 days
7.3
DO50832
0 years, male, NA, stage:3, alive, 90 days
7.3
DO23551
0 years, male, NA, stage:3, dead, 150 days
7.3
DO48716
0 years, male, NA, stage:2, alive, 720 days
7.3
DO23530
0 years, male, NA, stage:4, dead, 180 days
7.2
DO45107
0 years, female, NA, stage:2, alive, 1710 days
7.1
DO227643
0 years, male, NA, stage:2, alive, 1260 days
7.1
DO45199
0 years, female, NA, stage:2, alive, 1350 days
6.9
DO50803
0 years, female, NA, stage:1, alive, 540 days
6.9
DO45193
0 years, female, NA, stage:4, dead, 120 days
6.9
DO50857
0 years, male, NA, stage:2, alive, 210 days
6.9
DO50798
0 years, male, NA, stage:3, dead, 30 days
6.9
DO23546
0 years, male, NA, stage:2, alive, 1050 days
6.9
DO48761
0 years, male, NA, stage:2, alive, 870 days
6.8
DO23542
0 years, male, NA, stage:3, alive, 960 days
6.8
DO50807
0 years, male, NA, stage:1, alive, 540 days
6.7
DO48746
0 years, male, NA, stage:3, alive, 570 days
6.7
DO48727
0 years, female, NA, stage:2, dead, 390 days
6.7
DO45261
0 years, male, NA, stage:3, alive, 990 days
6.7
DO23527
0 years, male, NA, stage:1, alive, 1050 days
6.7
DO45177
0 years, female, NA, stage:3, alive, 1260 days
6.6
DO50787
0 years, male, NA, stage:3, alive, 480 days
6.6
DO23521
0 years, male, NA, stage:3, alive, 1110 days
6.6
DO45133
0 years, male, NA, stage:3, dead, 660 days
6.6
DO23534
0 years, male, NA, stage:2, alive, 840 days
6.5
DO45096
0 years, male, NA, stage:2, dead, 1290 days
6.4
DO48760
0 years, female, NA, stage:2, alive, 690 days
6.4
DO45094
0 years, male, NA, stage:3, alive, 1650 days
6.4
DO50804
0 years, male, NA, stage:2, alive, 720 days
6.3
DO23550
0 years, male, NA, stage:1, alive, 990 days
6.2
DO50819
0 years, female, NA, stage:2, alive, 510 days
6.2
DO45175
0 years, male, NA, stage:2, alive, 1140 days
6.1
DO50818
0 years, male, NA, stage:2, alive, 510 days
6.1
DO45201
0 years, male, NA, stage:1, alive, 900 days
6.0
DO45233
0 years, male, NA, stage:3, alive, 900 days
6.0
DO48674
0 years, male, NA, stage:2, alive, 1260 days
6.0
DO23544
0 years, male, NA, stage:2, alive, 960 days
5.9
DO45181
0 years, female, NA, stage:2, alive, 1200 days
5.9
DO23528
0 years, female, NA, stage:2, alive, 1020 days
5.9
DO48742
0 years, male, NA, stage:2, alive, 600 days
5.9
DO45195
0 years, male, NA, stage:1, alive, 390 days
5.9
DO23545
0 years, male, NA, stage:2, dead, 570 days
5.7
DO48741
0 years, male, NA, stage:3, alive, 240 days
5.7
DO48757
0 years, female, NA, stage:3, alive, 480 days
5.7
DO45259
0 years, male, NA, stage:3, alive, 330 days
5.6
DO48693
0 years, male, NA, stage:2, alive, 900 days
5.6
DO45139
0 years, male, NA, stage:3, alive, 1320 days
5.5
DO23517
0 years, male, NA, stage:2, alive, 1200 days
5.5
DO45263
0 years, male, NA, stage:3, dead, 270 days
5.5
DO50844
0 years, male, NA, stage:4, alive, 300 days
5.5
DO45115
0 years, male, NA, stage:2, alive, 840 days
5.4
DO50774
0 years, female, NA, stage:2, alive, 720 days
5.3
DO45129
0 years, male, NA, stage:3, alive, 1470 days
5.3
DO23531
0 years, female, NA, stage:3, alive, 900 days
5.3
DO48732
0 years, male, NA, stage:3, alive, 630 days
5.1
DO45235
0 years, female, NA, stage:1, alive, 900 days
5.1
DO23538
0 years, male, NA, stage:2, alive, 450 days
5.0
DO45237
0 years, male, NA, stage:2, alive, 900 days
4.8
DO48695
0 years, male, NA, stage:2, alive, 720 days
4.7
DO23509
0 years, male, NA, stage:3, dead, 780 days
4.6
DO48721
0 years, female, NA, stage:1, alive, 900 days
3.8
DO45111
0 years, male, NA, stage:2, alive, 1590 days
2.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
211
Tumor
0.9
1025
Tumor
0.8
535
Tumor
0.7
917
Tumor
0.6
926
Normal
0.6
937
Tumor
0.6
481
Tumor
0.5
363
Tumor
0.5
554
Normal
0.5
918
Normal
0.5
955
Tumor
0.5
536
Normal
0.5
558
Normal
0.5
952
Normal
0.5
922
Normal
0.5
966
Normal
0.5
944
Normal
0.5
696
Normal
0.5
958
Normal
0.4
524
Normal
0.4
745
Tumor
0.4
851
Tumor
0.4
938
Normal
0.4
697
Tumor
0.4
636
Normal
0.4
142
Normal
0.4
721
Tumor
0.4
968
Normal
0.4
1042
Normal
0.4
1014
Normal
0.4
1044
Normal
0.4
912
Normal
0.4
1032
Normal
0.4
557
Tumor
0.4
1046
Normal
0.4
978
Normal
0.4
514
Normal
0.4
964
Normal
0.4
984
Normal
0.4
916
Normal
0.4
857
Tumor
0.4
523
Tumor
0.4
572
Normal
0.4
981
Tumor
0.4
212
Normal
0.4
1015
Tumor
0.4
785
Tumor
0.4
924
Normal
0.4
448
Normal
0.4
528
Normal
0.4
534
Normal
0.4
526
Normal
0.4
756
Normal
0.4
412
Normal
0.4
284
Normal
0.4
714
Normal
0.3
538
Normal
0.3
327
Tumor
0.3
915
Tumor
0.3
492
Normal
0.3
852
Normal
0.3
1026
Normal
0.3
223
Tumor
0.3
494
Normal
0.3
923
Tumor
0.3
713
Tumor
0.3
518
Normal
0.3
478
Normal
0.3
546
Normal
0.3
332
Normal
0.3
864
Normal
0.3
956
Normal
0.3
698
Normal
0.3
568
Normal
0.3
1016
Normal
0.3
616
Normal
0.3
1022
Normal
0.3
172
Normal
0.3
414
Normal
0.3
716
Normal
0.3
353
Tumor
0.3
148
Normal
0.3
755
Tumor
0.3
488
Normal
0.3
628
Normal
0.3
314
Normal
0.3
686
Normal
0.3
355
Tumor
0.3
426
Normal
0.3
976
Normal
0.3
862
Normal
0.2
868
Normal
0.2
484
Normal
0.2
744
Normal
0.2
218
Normal
0.2
342
Normal
0.2
954
Normal
0.2
228
Normal
0.2
467
Tumor
0.2
436
Normal
0.2
878
Normal
0.2
778
Normal
0.2
224
Normal
0.2
866
Normal
0.2
1043
Tumor
0.2
466
Normal
0.2
135
Tumor
0.2
474
Normal
0.2
356
Normal
0.2
111
Normal
0.2
472
Normal
0.2
445
Tumor
0.2
364
Normal
0.2
722
Normal
0.2
982
Normal
0.2
432
Normal
0.2
385
Tumor
0.2
863
Tumor
0.2
376
Normal
0.2
1028
Normal
0.2
957
Tumor
0.2
232
Normal
0.2
724
Normal
0.2
145
Tumor
0.2
473
Tumor
0.2
286
Normal
0.2
162
Normal
0.2
861
Tumor
0.2
882
Normal
0.2
128
Normal
0.2
516
Normal
0.2
462
Normal
0.2
312
Normal
0.2
114
Normal
0.2
468
Normal
0.2
482
Normal
0.2
352
Normal
0.2
137
Tumor
0.2
452
Normal
0.2
358
Normal
0.2
392
Normal
0.2
187
Tumor
0.1
196
Normal
0.1
262
Normal
0.1
416
Normal
0.1
362
Normal
0.1
214
Normal
0.1
746
Normal
0.1
487
Tumor
0.1
424
Normal
0.1
434
Normal
0.1
618
Normal
0.1
786
Normal
0.1
816
Normal
0.1
422
Normal
0.1
415
Tumor
0.1
261
Tumor
0.1
527
Tumor
0.1
884
Normal
0.1
191
Tumor
0.1
278
Normal
0.1
186
Normal
0.1
817
Tumor
0.1
328
Normal
0.1
564
Normal
0.1
298
Normal
0.1
672
Normal
0.1
124
Normal
0.1
433
Tumor
0.1
192
Normal
0.1
138
Normal
0.1
126
Normal
0.1
258
Normal
0.1
222
Normal
0.1
136
Normal
0.1
446
Normal
0.1
431
Tumor
0.1
615
Tumor
0.1
1031
Tumor
0.1
818
Normal
0.1
723
Tumor
0.1
914
Normal
0.1
574
Normal
0.1
498
Normal
0.1
537
Tumor
0.1
146
Normal
0.1
953
Tumor
0.1
464
Normal
0.1
742
Normal
0.1
354
Normal
0.1
428
Normal
0.1
388
Normal
0.1
728
Normal
0.1
285
Tumor
0.1
727
Tumor
0.0
447
Tumor
0.0
642
Normal
0.0
738
Normal
0.0
858
Normal
0.0
368
Normal
0.0
394
Normal
0.0
823
Tumor
0.0
113
Tumor
0.0
188
Normal
0.0
344
Normal
0.0
824
Normal
0.0
217
Tumor
0.0
132
Normal
0.0
662
Normal
0.0
1021
Tumor
0.0
617
Tumor
0.0
444
Normal
0.0
545
Tumor
0.0
384
Normal
0.0
366
Normal
0.0
515
Tumor
0.0
456
Normal
0.0
664
Normal
0.0
911
Tumor
0.0
195
Tumor
0.0
867
Tumor
0.0
661
Tumor
0.0
913
Tumor
0.0
387
Tumor
0.0
451
Tumor
0.0
648
Normal
0.0
311
Tumor
0.0
396
Normal
0.0
272
Normal
0.0
268
Normal
0.0
331
Tumor
0.0
393
Tumor
0.0
963
Tumor
0.0
874
Normal
0.0
951
Tumor
0.0
491
Tumor
0.0
647
Tumor
0.0
1041
Tumor
0.0
965
Tumor
-0.1
497
Tumor
-0.1
455
Tumor
-0.1
573
Tumor
-0.1
553
Tumor
-0.1
141
Tumor
-0.1
815
Tumor
-0.1
413
Tumor
-0.1
227
Tumor
-0.1
533
Tumor
-0.1
983
Tumor
-0.1
873
Tumor
-0.1
571
Tumor
-0.1
386
Normal
-0.1
351
Tumor
-0.1
877
Tumor
-0.1
943
Tumor
-0.1
777
Tumor
-0.1
635
Tumor
-0.1
666
Normal
-0.1
665
Tumor
-0.1
925
Tumor
-0.1
411
Tumor
-0.2
741
Tumor
-0.2
1027
Tumor
-0.2
737
Tumor
-0.2
513
Tumor
-0.2
283
Tumor
-0.2
277
Tumor
-0.2
147
Tumor
-0.2
715
Tumor
-0.2
471
Tumor
-0.2
131
Tumor
-0.2
213
Tumor
-0.2
813
Tumor
-0.2
361
Tumor
-0.2
365
Tumor
-0.2
185
Tumor
-0.2
343
Tumor
-0.2
421
Tumor
-0.2
975
Tumor
-0.2
267
Tumor
-0.2
814
Normal
-0.3
563
Tumor
-0.3
357
Tumor
-0.3
977
Tumor
-0.3
1045
Tumor
-0.3
297
Tumor
-0.3
525
Tumor
-0.3
367
Tumor
-0.3
461
Tumor
-0.3
493
Tumor
-0.3
881
Tumor
-0.3
395
Tumor
-0.3
423
Tumor
-0.3
435
Tumor
-0.3
477
Tumor
-0.3
695
Tumor
-0.3
443
Tumor
-0.3
685
Tumor
-0.3
567
Tumor
-0.4
383
Tumor
-0.4
341
Tumor
-0.4
463
Tumor
-0.4
517
Tumor
-0.4
161
Tumor
-0.4
1013
Tumor
-0.4
921
Tumor
-0.4
663
Tumor
-0.4
967
Tumor
-0.4
375
Tumor
-0.4
221
Tumor
-0.4
171
Tumor
-0.4
257
Tumor
-0.5
465
Tumor
-0.5
427
Tumor
-0.5
112
Tumor
-0.5
671
Tumor
-0.5
883
Tumor
-0.5
127
Tumor
-0.5
231
Tumor
-0.5
271
Tumor
-0.5
313
Tumor
-0.5
125
Tumor
-0.6
641
Tumor
-0.6
865
Tumor
-0.6
483
Tumor
-0.6
743
Tumor
-0.6
425
Tumor
-0.7
627
Tumor
-0.7
391
Tumor
-0.7
123
Tumor
-0.8
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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
