Question: Database Of Tumor Suppressors And/Or Oncogenes
gravatar for Malachi Griffith
9.1 years ago by
Washington University School of Medicine, St. Louis, USA
Malachi Griffith18k wrote:

Does anyone know of a good source of human genes that act as a tumor suppressor or oncogene? The source can be a database or data mining approach that queries a more general database.

Some possible features of a 'good' source:

  • More than just a list of 'cancer genes'. One abstract with the name of the gene and the word cancer in it does not make it a convincing cancer gene. But a more sophisticated text-mining based approach would be acceptable
  • The gene will be annotated as a tumor suppressor or oncogene with additional information on how this classification is justified
  • Other relevant annotation such as whether the gene is involved in DNA repair, apoptosis, etc.
  • Up to date. A spreadsheet from 10 years ago is less useful than a routinely updated source.
  • Free and open source. Although if you know of commercial options please suggest them.

Here are some of the things I have found so far:

  • The Wikipedia entries above list categories of oncogenes .. but not all RTKs for example will necessarily act as an oncogene
  • The Gene Ontology used to have a term 'Tumor Suppressor' but this has been superseded by the term 'regulation of cell cycle'. A gene involved in regulation of the cell cycle may generally have the potential to function as a tumor suppressor but it would be nice to know which had been demonstrated to do so and how. A combination of GO terms and evidence codes might be acceptable if someone wishes to elaborate on this approach
  • UniProtKB has a keyword 'Proto-oncogene' associated with 560 genes and a keyword 'Tumor Suppressor' associated with 631 genes.
  • A compilation of cancer gene lists from the 'Bushman Lab'
  • The Sanger Cancer Gene Census
  • A more empirical approach might involve using patterns of somatic mutation across many cancers to identify likely tumor suppressors and oncogenes. Where tumor suppressors are expected to be characterized by loss-of-function mutations (copy number deletions, nonsense, or missense mutations spread across multiple sites in the gene) and oncogenes would be characterized by recurrent mutation sites (amplifications, mutation hotspots, gene fusions involving a particular gene partner, etc.). COSMIC is already working along these lines but if there are others, please post. The COSMIC Cancer Mutation Census is newer resource that perhaps addresses this question even more directly.
  • The Cancer HotSpots Resource performs an analysis that looks for recurrently mutated cancer hotspots by mining tumor sequence data. These hotspots can be indicative that a gene is an Oncogene.
  • CHASM-Plus is a nice resource that takes a machine learning approach to scoring driver mutations.
  • A variety of older websites that list tumor suppressors: TSGDB, Tumor Gene Database, and TAG

Useful suggestions gathered from below (refer there for more details):

Sources you could mine to develop your own lists:

Organizations that are annotating druggable/actionable genes:

Some relevant posts:

ADD COMMENTlink modified 3 months ago • written 9.1 years ago by Malachi Griffith18k

I feel like, right now, the best answer to this question is the Cancer Gene Census. They currently provide a TSV download of their complete list of 567 genes with nearly all being indicated as oncogene and/or tumor suppressor (TSG).

ADD REPLYlink written 3.5 years ago by Obi Griffith19k

I doubt that you have missed a useful resource given your fairly extensive groundwork. Interesting questions though, particular if there is no good solution to the problem yet.

ADD REPLYlink written 9.1 years ago by Spitshine640

haha I compiled that "Bushman Lab" list back in 2005. NCI was very disorganized - there was no Cancer Gene Index or lists to speak of. Today I think it would almost be easier to assemble a list of "non-cancer genes", since there are so many passenger mutations that can occur.

ADD REPLYlink written 9.1 years ago by Jeremy Leipzig19k

Yeah the passenger mutation comment is a good one. This is why I am interested in more context. As you say, virtually every gene cited in more than 5 papers is a 'cancer gene' and the remainder just aren't a cancer gene yet. What we need is more information on how each gene is related to cancer initiation, progression, metastasis, response to treatment, etc., etc.

ADD REPLYlink written 9.1 years ago by Malachi Griffith18k

If we need design a computational approach to systematically find if a gene, specially a cell cycle gene, is a suppressor or a oncogene, without mining a database, how would we go about analyzing the relevant data (mutations, CN, expression, miRNA)?

ADD REPLYlink written 2.1 years ago by 21angelicguitars0

Please open a new question for this instead of using the answer field in an existing post. I moved it to a comment. To maximize your chance of a good answer when asking a new question, please read and follow How To Ask Good Questions On Technical And Scientific Forums

ADD REPLYlink modified 2.1 years ago • written 2.1 years ago by ATpoint44k
gravatar for Travis
8.0 years ago by
Travis2.8k wrote:

I realize this is an old thread but still a very relevant question. The following resource ticks most boxes for tumor suppressor genes. It is a recent (NAR) published database resource, complete with literature evidence, downloadable data and a number of nice web-based resources like the ability to view Kegg pathways with tumor suppressors highlighted.


ADD COMMENTlink modified 8.0 years ago • written 8.0 years ago by Travis2.8k
gravatar for Obi Griffith
8.9 years ago by
Obi Griffith19k
Washington University, St Louis, USA
Obi Griffith19k wrote:

The Cancer Genes database is produced by MSKCC and has a nice interface with which you can do a very simple query and get a list of 873 tumor suppressor genes and 495 oncogenes with associated gene IDs and GO categories. But it does not meet your criteria for stringency as tumor suppressors are determined by a simple term query of Entrez Gene.

What about text-mining something like OMIM or even the rapidly improving gene pages in Wikipedia. This might get you better quality than going straight at the literature because a lot of manual/expert curation has already been put in. And, if you have a big over-representation of the term "Tumor Suppressor" in an OMIM record or the "Role in Disease" section of a gene's wikipage its probably a decent candidate.

See this OMIM search with genes sorted by relevance.

Its just too bad that these manually curated resources don't also have more controlled data entry mechanisms where the curators could indicate that it was a tumor suppressor and provide evidence through a controlled vocabulary. Maybe someone is aware of such efforts?

ADD COMMENTlink modified 8.9 years ago • written 8.9 years ago by Obi Griffith19k

Unfortunately, it seems the Cancer Genes database has gone dark. I have tried several times in recent weeks and always get a 404 error. While searching for its new home I did find this list of cancer genes lists which is used as a gene ranker for GBM. I'm not sure how current it is. I feel like the you might also be able to get at cancer gene lists through the cBio Portal somehow but have not figured out how yet.

ADD REPLYlink modified 6.9 years ago • written 6.9 years ago by Obi Griffith19k

The 404 points you at this old paper version:

ADD REPLYlink written 4.1 years ago by Malachi Griffith18k
gravatar for Sean Davis
9.1 years ago by
Sean Davis26k
National Institutes of Health, Bethesda, MD
Sean Davis26k wrote:

An additional resource is the NCI Cancer Gene Index.

ADD COMMENTlink written 9.1 years ago by Sean Davis26k

Looks promising. From the website: "The goal of the Cancer Gene Index is to further translational cancer research by providing a high quality data resource consisting of genes that have been experimentally associated with human cancer diseases and/or pharmacological compounds, the evidence of these associations, and relevant annotations on the data. This extremely valuable resource was created through a unique process that coupled automated linguistic text analysis of millions of MEDLINE abstracts with manual validation and annotation of the extracted data by expert human curators."

ADD REPLYlink written 9.1 years ago by Malachi Griffith18k
gravatar for jake.lever
2.5 years ago by
University of British Columbia, Vancouver, Canada
jake.lever50 wrote:

We've just launched CancerMine which is a resource for drivers, oncogenes and tumor suppressors for different cancer types. The data is text-mined from abstracts and full-text articles and is downloadable for further analysis.




ADD COMMENTlink modified 2.5 years ago • written 2.5 years ago by jake.lever50
gravatar for Obi Griffith
6.9 years ago by
Obi Griffith19k
Washington University, St Louis, USA
Obi Griffith19k wrote:

Another option is the Network of Cancer Genes. According to the site, NCG is a:

Manually curated list of 2,000 protein-coding cancer genes and 64 OncomiRs. Cancer genes are genes with a driver role in the onset of human cancer upon mutations of their sequence and/or amplifications of their genomic locus. 537 are known cancer genes from the Cancer Gene Census and from a list of genes that undergo cancer-specific amplifications. Their involvement in cancer is documented in the literature. 1463 are candidate cancer genes that derive from the manual curation of 77 whole genome or whole exome cancer-resequencing screenings. Their involvement in cancer is inferred with various statistical methods.

ADD COMMENTlink modified 6.9 years ago • written 6.9 years ago by Obi Griffith19k
gravatar for Min
4.1 years ago by
Min90 wrote: The literature based oncogene list, the same author of TSGene.

ADD COMMENTlink written 4.1 years ago by Min90
gravatar for Jiri Voller
8.9 years ago by
Jiri Voller30
Jiri Voller30 wrote:

NCI Cancer Gene Index looks great, seems that a lot of effort was invested into curation of mined cancer related sentences. But the problem is that the project ended in 2009. In fact I got here, when I was looking for its successors....

ADD COMMENTlink written 8.9 years ago by Jiri Voller30
gravatar for henryvuong
7.8 years ago by
henryvuong790 wrote:

There is a nice table of oncogenes and tumor suppressor genes from this publication (Supplementary material) Vogelstein, B., Papadopoulos, N., Velculescu, V., Zhou, S., Diaz, L. & Kinzler, K. Cancer genome landscapes. Science (New York, N.Y.) 339, 1546–58 (2013).

ADD COMMENTlink written 7.8 years ago by henryvuong790
gravatar for Larry_Parnell
9.1 years ago by
Boston, MA USA
Larry_Parnell16k wrote:

The NCI Cancer Gene Index is good +1. This was developed with software from Biomax and you can find information about the collaboration between NCI and Biomax as well as details on the dataset here.

ADD COMMENTlink written 9.1 years ago by Larry_Parnell16k

Anyone knows how to get this list of tumour suppressor genes from NCI Cancer gene index? I've been reading and trying but the interface of searching is not really firendly

ADD REPLYlink written 9.0 years ago by Tonig440
gravatar for Shicheng Guo
17 months ago by
Shicheng Guo8.5k
Shicheng Guo8.5k wrote:

480+ known cancer genes from Sanger:

and 900+ my own collection for tumor suppressor genes:

ADD COMMENTlink modified 12 months ago • written 17 months ago by Shicheng Guo8.5k

Hello Shicheng Guo, can I ask you how you got to "FullTumorSuppressorGeneList.txt"?

and Updated link for " 900+":

ADD REPLYlink written 3 months ago by Cyrus Sabri0
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