TumorPortal
Welcome to TumorPortal
Genes, Cancers, and DNA Mutations

To begin exploring the pan-cancer dataset, please click on a tumor type or gene name.
Tumor types
Click on a tumor type to see what genes are significantly mutated in it (and other details).
Acute myeloid leukemia
AML
196 patients
Bladder cancer
BLCA
99 patients
Breast cancer
BRCA
892 patients
Carcinoid
CARC
54 patients
Chronic lymphocytic leukemia
CLL
159 patients
Colorectal cancer
CRC
233 patients
Diffuse large B-cell lymphoma
DLBCL
58 patients
Endometrial cancer
UCEC
248 patients
Esophageal adenocarcinoma
ESO
141 patients
Glioblastoma multiforme
GBM
291 patients
Head and neck cancer
HNSC
384 patients
Kidney clear cell carcinoma
KIRC
417 patients
Lung adenocarcinoma
LUAD
405 patients
Lung squamous cell carcinoma
LUSC
178 patients
Medulloblastoma
MED
92 patients
Melanoma
MEL
118 patients
Multiple myeloma
MM
207 patients
Neuroblastoma
NB
81 patients
Ovarian cancer
OV
316 patients
Prostate cancer
PRAD
138 patients
Rhabdoid tumor
RHAB
35 patients
Combined cohort
PanCan
4742 patients


Genes
Click on a gene name to see what tumor types it is significantly mutated in (and other details).
TP53
36% of all patients
PIK3CA
14% of all patients
PTEN
8% of all patients
KRAS
7% of all patients
APC
6% of all patients
MLL3
6% of all patients
FAT1
6% of all patients
MLL2
6% of all patients
ARID1A
5% of all patients
VHL
5% of all patients
PBRM1
4% of all patients
NF1
4% of all patients
EGFR
4% of all patients
ATM
4% of all patients
PIK3R1
4% of all patients
BRAF
4% of all patients
CDKN2A
4% of all patients
SETD2
4% of all patients
CREBBP
3% of all patients
FBXW7
3% of all patients
SPEN
3% of all patients
MTOR
3% of all patients
RB1
3% of all patients
SMARCA4
3% of all patients
NOTCH1
3% of all patients
Other gene:

Or browse clickable interactive versions of figures from the paper.
Figure 2

Genes in each tumor type
 Figure 3

Tumor-type-specific
and pan-cancer genes
 Figure 5

Discovery power in each tumor type
  

Power calculator
 Figure S1

Background mutation frequencies across cancer


Using this data? Please cite Lawrence et al. Nature (2014)

© 2014 Broad Institute of Harvard and MIT | Cancer Program | Cancer Genome Analysis