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The heterogeneity of cancer associated fibroblasts (CAFs) in breast cancer has been previously described. Here the authors provide further insights into the spatial landscape and plasticity of immunosuppressive fibroblasts in breast cancer.

An important contribution of cancer associated fibroblasts (CAFs) in regulating chemoresistance has been reported. Here the authors investigate the impact of chemotherapy on CAF subsets in patients with high-grade serous ovarian cancer, suggesting that residual ANTXR1+ myofibroblasts are associated with inhibition of anti-tumor immunity.

Cancer-associated fibroblasts (CAFs) are an important part of the tumor microenvironment. Here the authors characterize four subsets of CAFs across human samples of ovarian cancer subtypes and show in the mesenchymal subtype a specific CAF-S1 population that attracts immunosuppressive Tregs via CXCL12β.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Multiple types of DNA damage can lead to mutations in normal cells, ultimately contributing to the development of cancer. Here, the authors redefine the spectrum of mutational signatures linked to a particular type of DNA damage to uncover the protective role of specialized DNA repair mechanisms.

Clinical, genomic and transcriptomic analyses of paired samples of synchronous bilateral female breast cancer identify associations between tumor concordance and immune infiltrates levels and response to neoadjuvant treatment.

Response to tebentafusp is variable in patients with metastatic uveal melanoma. Here, the authors use droplet digital PCR to detect ctDNA and show that ctDNA positivity was associated with shorter overall survival.

Understanding CD8 + T cell response to immune checkpoint blockade at the molecular level is important for the design of more efficient cancer immune therapies. Authors show here that the histone lysine methyltransferase Suv39h1 controls the transcriptional programs that determine the functionality of CD8 + T cells and Suv39h1 inhibition may potentiate anti-PD-1 therapy of melanomas.

Whole-genome sequencing of tumours from 560 breast cancer cases provides a comprehensive genome-wide view of recurrent somatic mutations and mutation frequencies across both protein coding and non-coding regions; several mutational signatures in these cancer genomes are associated with BRCA1 or BRCA2 function and defective homologous-recombination-based DNA repair.

Patients with estrogen receptor positive breast cancer (ER + BC) treated with palbociclib (CDK4/6 inhibitor) frequently develop resistance. Here, the authors identify a reliance of palbociclib resistance on oxidative phosphorylation (OXPHOS) and therapeutically target this vulnerability using an OXPHOS inhibitor, restoring sensitivity in ER + BC preclinical models.

Recent studies using in depth DNA sequencing techniques led to the identification of cancer driver genes but mainly focused on the effect on their expression. Here, the authors analyse 266 cases of breast cancer and report gene expression signatures associated with the number and character of signature mutations.

Single-cell multiomic profiling of triple-negative breast cancer samples treated with capecitabine shows that H3K27me3 regulates a persister cell state. Blocking H3K27me3 demethylation inhibits the transition to a drug-tolerant state and delays tumor recurrence.

Cancer associated fibroblasts are known to promote the progression of cancer. Here, the authors show that two particular subsets of cancer associated fibroblasts induce metastasis but work via distinct mechanisms including, chemokine signalling and Notch signalling.

A combination of chemoradiotherapy followed by brachytherapy is recommended for patients with locally-advanced cervical cancer (LACC), however there is still a high risk of disease recurrence. Here the authors report clinical outcomes and immunologic correlates of a clinical trial of the PD-1 inhibitor nivolumab in combination with chemoradiotherapy in LACC patients.

Breast cancer is separated into multiple subtypes based on the expression of HER2 and hormone receptors. Here, the authors report the whole genome sequence of 64 HER2 positive tumours and show that these can be further separated into four groups with different gene expression profiles and genomic features.

An analysis of mutations from over 7,000 cancers of diverse origins reveals the diversity of mutational processes underlying the development of cancer; more than 20 distinct mutational signatures are described, some of which are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are specific to individual tumour types.

In patients with newly diagnosed, transplant-ineligible multiple myeloma, addition of weekly bortzomib to isatuximab, lenalidomide and dexamethasone leads to increased minimal residual disease negativity compared with isatuximab, lenalidomide and dexamethasone.

CD74, the MHC class II invariant chain, was thought to be mainly expressed by antigen presenting cells. Here the authors report that CD74 is overexpressed by human tumor infiltrating regulatory T cells (Tregs) and that its loss affects Treg accumulation and function in tumors.

Cells carrying EZH2 mutations found in lymphoma show a specific transcriptional response to PRC2 inhibition. A longitudinal study reveals unexpected genetic heterogeneity in follicular lymphomas, with implications for therapeutic strategies.

Homologous recombination deficiency is linked with platinum-based chemotherapy response in triple-negative breast cancer (TNBC) but methods to clinically identify these patients are lacking. Here, using patient-derived xenografts of TNBC the authors demonstrate that shallow HRD is predictive of response to platinum-based chemotherapy.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

Fibroblast heterogeneity is a recognized feature in chronic kidney disease, and although fibrosis is integrant to the pathology, it is lesser known which of the fibroblast populations contribute. Here authors describe a population of proinflammatory fibroblasts, which are found in close proximity to macrophages and may facilitate their recruitment and acquisition of a FOLR2+, pathogenic phenotype.

The association between obesity and breast cancer biology remains understudied in humans. Here, using a large retrospective data collection, the authors identify obesity associated changes in the genomic, transcriptomic profile, and the tumor microenvironment of primary untreated breast tumors.

Tumor-draining lymph nodes are often the first site of metastasis in breast cancer patients. Here, the authors show that metastatic lymph nodes are characterized by the accumulation of suppressive regulatory T cells with a distinct phenotype compared to matched non-invaded lymph nodes and tumors.