The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.

Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal

Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of “mountains” (genes altered in a high percentage of tumors) and a much larger number of “hills” (genes altered infrequently). To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or “drive” tumorigenesis. A typical tumor contains two to eight of these “driver gene” mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.

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Cancer Genome Landscapes

Comprehensive molecular portraits of human breast tumours

Immune checkpoint inhibition represents a major recent breakthrough in the treatment of malignant diseases including breast cancer. Blocking the programmed death receptor-1 (PD-1) and its ligand, PD-L1, has shown impressive antitumor activity and may lead to durable long-term disease control, especially in the triple-negative subtypes of breast cancer (TNBC). Although immune checkpoint blockade is generally well tolerated, specific immune-related adverse events (irAEs) may occur. This review summarizes the clinical efficacy, perspectives, and future challenges of using PD-1/PD-L1-directed antibodies in the treatment of breast cancer.

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PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer

The number of cancer survivors continues to increase because of both advances in early detection and treatment and the aging and growth of the population. For the public health community to better serve these survivors, the American Cancer Society and the National Cancer Institute collaborate to estimate the number of current and future cancer survivors using data from the Surveillance, Epidemiology, and End Results cancer registries. In addition, current treatment patterns for the most prevalent cancer types are presented based on information in the National Cancer Data Base and treatment-related side effects are briefly described. More than 15.5 million Americans with a history of cancer were alive on January 1, 2016, and this number is projected to reach more than 20 million by January 1, 2026. The 3 most prevalent cancers are prostate (3,306,760), colon and rectum (724,690), and melanoma (614,460) among males and breast (3,560,570), uterine corpus (757,190), and colon and rectum (727,350) among females. More than one-half (56%) of survivors were diagnosed within the past 10 years, and almost one-half (47%) are aged 70 years or older. People with a history of cancer have unique medical and psychosocial needs that require proactive assessment and management by primary care providers. Although there are a growing number of tools that can assist patients, caregivers, and clinicians in navigating the various phases of cancer survivorship, further evidence-based resources are needed to optimize care. CA Cancer J Clin 2016;66:271-289. © 2016 American Cancer Society.

https://onlinelibrary.wiley.com/doi/pdf/10.3322/caac.21349

Cancer treatment and survivorship statistics, 2016.

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Correction to: Establishing and characterizing patient-derived xenografts using pre-chemotherapy percutaneous biopsy and post-chemotherapy surgical samples from a prospective neoadjuvant breast cancer study (Breast Cancer Research, (2017), 19, 1, (130), 10.1186/s13058-017-0920-8)

Evaluation of mitolactol in women with advanced breast cancer and prior chemotherapy exposure.

e13516 Background: Breast cancer affects thousands of women each year. Epithelial to Mesenchymal transition (EMT) has been associated with increased metastatic potential of cancer cells as well as ...

SMAD5 expression and inhibition of the mitotic kinase aurora-A on sensitivity of breast cancer cells to chemotherapy.

10586 Background: Teschendorff et al. (Breast Cancer Res 2008) reported a 7-gene, immune response-enriched gene expression classifier using microarrays that was prognostic in women with ER-negative breast cancer. To facilitate further evaluation of the prognostic value of a classifier in archival fixed tumor tissue, we developed two multiplex TaqMan assays to quantify the expression levels of these genes, then trained and validated a 7-gene immune response score (IRS). Methods: RNA was extracted from FFPE sections of 185 ER-negative breast cancer patient samples from Mayo Clinic (n=81), Guy’s Hospital (n=50) and California Pacific Medical Center (CPMC) (n=27). Patients (N+ and N-) did not receive adjuvant therapy and were followed for a minimum of 5 years. Amplification of i) LY9, TNFRSF17, HLA-F, and IGLC2 and ii) XCL2, SPP1, C1QA and two reference genes NUP214 and PPIG were carried out in two multiplex RT-PCR TaqMan reactions and relative expression levels were determined using the DDCT method. The trai...

James N. Ingle

Papers

Correction to: Establishing and characterizing patient-derived xenografts using pre-chemotherapy percutaneous biopsy and post-chemotherapy surgical samples from a prospective neoadjuvant breast cancer study (Breast Cancer Research, (2017), 19, 1, (130), 10.1186/s13058-017-0920-8)

Evaluation of mitolactol in women with advanced breast cancer and prior chemotherapy exposure.

SMAD5 expression and inhibition of the mitotic kinase aurora-A on sensitivity of breast cancer cells to chemotherapy.

Multiplex TaqMan assays for a 7-gene prognostic immune response score to differentiate risk among women with ER-negative breast cancer.

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