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http://www.cs.tau.ac.il/~spike/
Database of curated human signaling pathways with an associated interactive software tool for analysis and dynamic visualization of pathways. Individual pathway maps can be viewed and downloaded; the entire database may be browsed, or launched via a map viewer tool that allows dynamic visualization of the database and save networks in XGMML format that can be viewed in all generic XGMML viewers. Map Topics * Cell cycle progress and check points * DNA damage response * Programmed cell death related processes * Stress-activated transcription factors * Mitogen-activated protein kinase pathways * Immune response signaling * HEarSpike: hearing related pathways
Proper citation: SPIKE (RRID:SCR_010466) Copy
https://genome-cancer.ucsc.edu/
A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.
Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy
http://data-analysis.charite.de/care/
Comprehensive database of cancer relevant proteins and compound interactions supported by experimental knowledge.Knowledgebase for drug-target relationships related to cancer as well as for supporting information or experimental data.
Proper citation: CancerResource (RRID:SCR_011945) Copy
A genomics database project is an academic research program to identify molecular features of cancers that predict response to anti-cancer drugs.
Proper citation: Genomics of Drug Sensitivity in Cancer (RRID:SCR_011956) Copy
http://cbbiweb.uthscsa.edu/KMethylomes/
Datbase and web-based system for visualization and analysis of genome-wide methylation data of human cancers.
Proper citation: Cancer Methylome System (RRID:SCR_012013) Copy
A database of CpG islands and analytical tools for identifying comprehensive methylation profiles in cancer cells.
Proper citation: DBCAT (RRID:SCR_012014) Copy
A web-based application designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis.
Proper citation: CRAVAT (RRID:SCR_012776) Copy
http://cancer.osu.edu/research/cancerresearch/sharedresources/ltb/Pages/index.aspx
The OSU Comprehensive Cancer Center Leukemia Tissue Bank Shared Resource (LTBSR) facilitates the successful translation of basic leukemia research to the clinical setting via an extensive repository of tissue samples and accompanying pathologic, cytogenetic and clinical data for ready correlation of clinical and biological results. The LTBSR, which is an NCI-sponsored biorepository, has more than 40,000 vials of cryopreserved viable cells and 13,000 vials of matched frozen plasma and/or serum samples from more than 4,000 patients treated for leukemia and other malignancies. Committed to furthering translational research efforts for OSUCCC - James members and the cancer research community, the LTBSR provides investigators with training and technical support as well as procurement, processing, storage, retrieval and distribution of clinical research materials. In many cases, the LTBSR serves as the central processing lab for multi-site trials in which the principal investigator is an OSUCCC - James member. The LTBSR's goals are to: * Provide a central collection, processing and a state-of-the-art repository for samples collected from leukemia patients treated on OSUCCC - James protocols, and * Provide materials to investigators involved in collaborative studies with OSU, who examine relevant cellular and molecular properties of leukemia and correlate these properties with clinical or population-based outcomes.
Proper citation: Ohio State Leukemia Tissue Bank (RRID:SCR_000529) Copy
http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.
Proper citation: COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) Copy
A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis.
Proper citation: pSTIING (RRID:SCR_002045) Copy
A tool for annotating, exploring, and analyzing gene sets that may be associated with cancer.
Proper citation: Mutation Annotation and Genomic Interpretation (RRID:SCR_002800) Copy
Cancer research platform that aggregates clinical, genomic and functional data from various types of patient derived cancer models, xenographs, organoids and cell lines. Open catalog of harmonised patient-derived cancer models. Standardises, harmonises and integrates clinical metadata, molecular and treatment-based data from academic and commercial providers worldwide. Data is FAIR and underpins generation and testing of new hypotheses in cancer mechanisms and personalised medicine development. PDCM Finder have expanded to organoids and cell lines and is now called CancerModels.Org. PDCM Finder was launched in April 2022 as successor of PDX Finder portal, which focused solely on patient-derived xenograft models.
Proper citation: CancerModels.Org (RRID:SCR_023931) Copy
Regularly collects nationally representative data about American public’s knowledge of, attitudes toward, and use of cancer and health related information. HINTS data are used to monitor changes in fields of health communication and health information technology and to create more effective health communication strategies across different populations. Weighted, nationally representative probability based survey of civilian, non-institutionalized adults administered by National Cancer Institute on knowledge of and attitudes toward cancer relevant information.
Proper citation: Health Information National Trends Survey (RRID:SCR_023943) Copy
https://ganjoho.jp/public/index.html
Portal provides information on Cancer Statistics in Japan. Official website operated by National Cancer Center for cancer information.
Proper citation: Cancer Information Service (RRID:SCR_024445) Copy
https://seer.cancer.gov/csr/1975_2016/
Platform to report outlining trends in cancer statistics and methods to derive various cancer statistics from the Surveillance, Epidemiology, and End Results (SEER) program. Authoritative source for cancer statistics in the United States.
Proper citation: NCI SEER Cancer Statistics Review (RRID:SCR_024685) Copy
Center for patient care, education and research on cancer. The institute focuses its research on prevention methods, early detection, treatment and finding cures.
Proper citation: Karmanos Cancer Institute (RRID:SCR_000508) Copy
Division of NCI that takes prospective cancer detection and treatment leads, facilitates their paths to clinical application, and expedites the initial and subsequent large-scale testing of new agents, biomarkers, imaging tests, and other therapeutic interventions (radiation, surgery, immunotherapy) in patients. DCTD, like all of NCI, supports many programs that could not be done without government funding - investigators supported by the division engage in scientifically sound, high-risk research that may yield great benefits for patients with cancer, but are too difficult or risky for industry or academia to pursue. This includes a particular emphasis on the development of distinct molecular signatures for cancer, refined molecular assays, and state-of-the-art imaging techniques that will guide oncologic therapy in the future. The division has eight major programs that work together to bring unique molecules, diagnostic tests, and therapeutic interventions from the laboratory bench to the patient bedside: * Cancer Diagnosis Program * Cancer Imaging Program * Cancer Therapy Evaluation Program * Developmental Therapeutics Program * Radiation Research Program * Translational Research Program * Biometrics Research Branch * Office of Cancer Complementary and Alternative Medicine
Proper citation: DCTD (RRID:SCR_004196) Copy
http://www.azcc.arizona.edu/research/shared-services/tacmass/tissue-acquisition
TACMASS collects, preserves, and banks biospecimens obtained from Arizona Cancer Center surgical patients who are seen by University Medical Center surgeons and oncologists. Biospecimens collected at the time of surgery include fresh surgical tissue, blood and urine. Serum, plasma and genomic DNA are harvested from the whole blood. AZCC Members and collaborators may request the use of banked biospecimens through TACMASS. The patient's surgeon or oncologist is responsible for consenting the patient for submission of surgical specimens to the AZCC BioRepository (IRB #06-0609-04, Setsuko Chambers, PI). The surgeon and the Department of Pathology attending physicians and residents are responsible for identifying appropriate tissue for banking that will not compromise pathological diagnosis. Tumor and/or normal adjacent tissue, identified by gross examination, that will not be needed for pathological diagnosis are preserved by fixing in formalin, snap freezing, and/or fixing in RNALater. Histological diagnosis is rendered on each piece of formalin-fixed and snap frozen tissue by Hematoxylin and Eosin staining (H&E). Everyone involved in submitting specimens to the Tumor Bank must maintain a current CITI Certification.
Proper citation: Arizona Cancer Center Tumor Bank (RRID:SCR_003544) Copy
A manually curated resource of signal transduction pathways in humans. All pathways are freely available for download in BioPAX level 3.0, PSI-MI version 2.5 and SBML version 2.1 formats. The slim pathway models representing only core reactions in each pathway are available at NetSlim. All the NetPath pathway models are also submitted to WikiPathways., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: NetPath (RRID:SCR_003567) Copy
http://toc.lbg.ac.at/en/research-program/project-tumor-bank
As a basis for the experimental cluster projects, and for further future projects a collection of various biological specimens of cancer patients shall be established. All participating Ludwig Boltzmann Institutes (LBIs) are supplying biological specimens from tumor patients and clinical documentation. At the LBI for Gynecology and Gynecologic Oncology a tumor bank for biological specimens from gynecologic cancer patients already exists. All the procedures for sample processing and storage are well established. Existing equipment for storing tissue specimens at -196 degrees C can be used. Materials from the following malignant diseases are collected: Breast cancer Colorectal cancer Neuroendocrine tumors (NET) (Small cell lung cancer (SCLC) and Carcinoid tumors) Types of biological materials: Tissue (fresh frozen) Bone marrow Blood (serum/plasma/cell fractions) Pleural effusions Ascitic fluids Sputum Bronchial lavage Stool The biological specimens are initially processed at the respective LBIs or at their connected lab facilities. Enrichment of blood samples for disseminated tumor cells is done at the LBI for Gynecology and Gynecologic oncology. Long time storage of all materials is done at appropriate temperatures at the same institution. This LBI also coordinates the logistics. All relevant sample-specific and clinical data are surveyed at the respective LBIs and stored centralized in an on-line data bank in anonymized form, respecting all relevant regulations on data protection and security.
Proper citation: Ludwig Boltzman Tumour Bank (RRID:SCR_004322) Copy
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