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Patients with localized pancreatic ductal adenocarcinoma (PDAC) are best treated with surgical resection of the primary tumour and systemic chemotherapy, which provides considerably longer overall survival (OS) durations than either modality alone. Regardless, most patients will have disease relapse owing to micrometastatic disease. Although currently a matter of some debate, considerable research interest has been focused on the role of neoadjuvant therapy for all forms of resectable PDAC. Whilst adjuvant combination chemotherapy remains the standard of care for patients with resectable PDAC, neoadjuvant chemotherapy seems to improve OS without necessarily increasing the resection rate in those with borderline-resectable disease. Furthermore, around 20% of patients with unresectable non-metastatic PDAC might undergo resection following 4–6 months of induction combination chemotherapy with or without radiotherapy, even in the absence of a clear radiological response, leading to improved OS outcomes in this group. Distinct molecular and biological responses to different types of therapies need to be better understood in order to enable the optimal sequencing of specific treatment modalities to further improve OS. In this Review, we describe current treatment strategies for the various clinical stages of PDAC and discuss developments that are likely to determine the optimal sequence of multimodality therapies by integrating the fundamental clinical and molecular features of the cancer.Advances in surgical technique and chemotherapy regimens have improved the survival outcomes of patients with pancreatic cancer, although these remain dismal relative to most other solid tumours. Attempts to further improve outcomes have led to increasing research interest in neoadjuvant therapy, which is beginning to improve the outcomes of certain subgroups of patients. In this Review, the authors provide an overview of the various neoadjuvant therapy approaches for patients with pancreatic cancer, including discussions of several promising future research directions

Key Points Radiotherapy needs a paradigm shift to include biological interventions that are tailored to radiation-related phenomena DNA-repair mechanisms are obvious targets for interventions aimed at improving the radiotherapeutic benefit Chromatin structure and nuclear architecture critically influence the dynamics and extent of DNA damage and repair, and thus the response to radiation Cells exist along a wide spectrum of radiation responsiveness, with cancer stem cells generally being radioresistant Radiation therapy can be an antitumour immune adjuvant and new approaches to immunotherapy will offer the opportunity to exploit this interaction Biomarkers that are redox-related or immune-related might help evaluate the status of patients with cancer and provide insight into how best to combine radiotherapy with biological treatments in each individual Although dramatic changes in the delivery of radiation therapy have occurred, the impact of radiobiology on the clinic has been far less substantial. New advances are uncovering some of the mechanistic processes that underlie the differences between the tumour and host tissue characteristics. The authors of this Review focus on how these processes might be targeted to improve the outcome of radiotherapy for patients. The past 20 years have seen dramatic changes in the delivery of radiation therapy, but the impact of radiobiology on the clinic has been far less substantial. A major consideration in the use of radiotherapy has been on how best to exploit differences between the tumour and host tissue characteristics, which in the past has been achieved empirically by radiation-dose fractionation. New advances are uncovering some of the mechanistic processes that underlie this success story. In this Review, we focus on how these processes might be targeted to improve the outcome of radiotherapy at the individual patient level. This approach would seem a more productive avenue of treatment than simply trying to increase the radiation dose delivered to the tumour.

As heterogeneity increasingly needs to be taken into account in the treatment of solid tumours, methods to detect genetic variation have come to the fore. One method that might have considerable clinical utility is the detection of variations in circulating-free DNA. This Review outlines the possibilities and challenges that this technique offers in terms of predictive and prognostic markers, as well as in the detection of therapy resistance. Cancer is associated with mutated genes, and analysis of tumour-linked genetic alterations is increasingly used for diagnostic, prognostic and treatment purposes. The genetic profile of solid tumours is currently obtained from surgical or biopsy specimens; however, the latter procedure cannot always be performed routinely owing to its invasive nature. Information acquired from a single biopsy provides a spatially and temporally limited snap-shot of a tumour and might fail to reflect its heterogeneity. Tumour cells release circulating free DNA (cfDNA) into the blood, but the majority of circulating DNA is often not of cancerous origin, and detection of cancer-associated alleles in the blood has long been impossible to achieve. Technological advances have overcome these restrictions, making it possible to identify both genetic and epigenetic aberrations. A liquid biopsy, or blood sample, can provide the genetic landscape of all cancerous lesions (primary and metastases) as well as offering the opportunity to systematically track genomic evolution. This Review will explore how tumour-associated mutations detectable in the blood can be used in the clinic after diagnosis, including the assessment of prognosis, early detection of disease recurrence, and as surrogates for traditional biopsies with the purpose of predicting response to treatments and the development of acquired resistance. Key Points Under representation of the heterogeneity of a tumour and poor sample availability means tissue biopsies are of limited value for the assessment of tumour dynamics in the advanced stages of disease Extended periods between sampling and clinical application of the results, as well as additional lines of treatment between sampling, might result in an altered genetic composition of the tumour Circulating free DNA can be extracted from the blood and tumour-specific aberrations assessed to provide a genetic landscape of the cancerous lesions in a patient Tracking tumour-associated genetic aberrations in the blood can be used to assess the presence of residual disease, recurrence, relapse and resistance Monitoring the emergence of tumour-associated genetic aberrations in the blood can be used to detect the emergence of resistant cancer cells 5–10 months before conventional methods To implement circulating tumour DNA testing in the clinic, standardization of techniques, assessment of reproducibility and cost-effectiveness is required as well as prospective validation in clinical trials

Key Points Breast cancer is a heterogeneous group of diseases with different histological, prognostic and clinical aspects Heterogeneous expression of the oestrogen, progesterone, and HER2 receptors has been observed among different patients with breast cancer, as well as between matched samples from primary tumours and their metastases Powerful technologies, such as DNA microarrays and next-generation sequencing, are providing further insight into intertumour and intratumour heterogeneity Intratumour heterogeneity is documented at both spatial and temporal levels, with breast cancer cells behaving similarly to an evolving ecosystem, showing a molecular evolution in response to selective pressures Heterogeneity poses impediments to the successful clinical development of molecularly targeted agents Innovative approaches are urgently needed to overcome the hurdle of tumour heterogeneity and improve clinical outcomes for patients with breast cancer Traditionally, intertumour heterogeneity in breast cancer has been documented in terms of different histological subtypes, treatment sensitivity profiles, and clinical outcomes among different patients. High-throughput molecular profiling studies have confirmed that spatial and temporal intratumour heterogeneity of breast cancers exist at a level beyond common expectations. In this Review, the authors describe the different levels of tumour heterogeneity, and discuss the strategies that can be adopted by clinicians to tackle treatment response and resistance issues associated with such heterogeneity for the optimal clinical management of breast malignancies. Traditionally, intertumour heterogeneity in breast cancer has been documented in terms of different histological subtypes, treatment sensitivity profiles, and clinical outcomes among different patients. Results of high-throughput molecular profiling studies have subsequently revealed the true extent of this heterogeneity. Further complicating this scenario, the heterogeneous expression of the oestrogen receptor (ER), progesterone receptor (PR), and HER2 has been reported in different areas of the same tumour. Furthermore, discordance, in terms of ER, PR and HER2 expression, has also been reported between primary tumours and their matched metastatic lesions. High-throughput molecular profiling studies have confirmed that spatial and temporal intratumour heterogeneity of breast cancers exist at a level beyond common expectations. We describe the different levels of tumour heterogeneity, and discuss the strategies that can be adopted by clinicians to tackle treatment response and resistance issues associated with such heterogeneity, including a rationally selected combination of agents that target driver mutations, the targeting of deleterious passenger mutations, identifying and eradicating the 'lethal' clone, targeting the tumour microenvironment, or using adaptive treatments and immunotherapy. The identification of the most-appropriate strategies and their implementation in the clinic will prove highly challenging and necessitate the adoption of radically new practices for the optimal clinical management of breast malignancies.

Remarkable progress has been made in the development of biomarker-driven targeted therapies for patients with multiple cancer types, including melanoma, breast and lung tumours, although precision oncology for patients with colorectal cancer (CRC) continues to lag behind. Nonetheless, the availability of patient-derived CRC models coupled with in vitro and in vivo pharmacological and functional analyses over the past decade has finally led to advances in the field. Gene-specific alterations are not the only determinants that can successfully direct the use of targeted therapy. Indeed, successful inhibition of BRAF or KRAS in metastatic CRCs driven by activating mutations in these genes requires combinations of drugs that inhibit the mutant protein while at the same time restraining adaptive resistance via CRC-specific EGFR-mediated feedback loops. The emerging paradigm is, therefore, that the intrinsic biology of CRC cells must be considered alongside the molecular profiles of individual tumours in order to successfully personalize treatment. In this Review, we outline how preclinical studies based on patient-derived models have informed the design of practice-changing clinical trials. The integration of these experiences into a common framework will reshape the future design of biology-informed clinical trials in this field.Progress in precision medicine for colorectal cancer continues to lag behind the rapid improvements seen in patients with certain other solid tumour types. Nonetheless, owing largely to the availability of better translational models, novel and effective targeted therapy strategies based on tumour biology are beginning to be developed for subsets of patients. In this Review, the authors summarize these developments and discuss future directions in this rapidly evolving area of research.

Renal cell carcinoma (RCC) denotes cancer originated from the renal epithelium and accounts for >90% of cancers in the kidney. The disease encompasses >10 histological and molecular subtypes, of which clear cell RCC (ccRCC) is most common and accounts for most cancer-related deaths. Although somatic VHL mutations have been described for some time, more-recent cancer genomic studies have identified mutations in epigenetic regulatory genes and demonstrated marked intra-tumour heterogeneity, which could have prognostic, predictive and therapeutic relevance. Localized RCC can be successfully managed with surgery, whereas metastatic RCC is refractory to conventional chemotherapy. However, over the past decade, marked advances in the treatment of metastatic RCC have been made, with targeted agents including sorafenib, sunitinib, bevacizumab, pazopanib and axitinib, which inhibit vascular endothelial growth factor (VEGF) and its receptor (VEGFR), and everolimus and temsirolimus, which inhibit mechanistic target of rapamycin complex 1 (mTORC1), being approved. Since 2015, agents with additional targets aside from VEGFR have been approved, such as cabozantinib and lenvatinib; immunotherapies, such as nivolumab, have also been added to the armamentarium for metastatic RCC. Here, we provide an overview of the biology of RCC, with a focus on ccRCC, as well as updates to complement the current clinical guidelines and an outline of potential future directions for RCC research and therapy. Renal cell carcinoma (RCC) is a neoplasm of the renal epithelium and accounts for >90% of kidney cancers. Cancer genomic studies have identified numerous molecular events that lead to RCC and marked intra-tumour heterogeneity, which have prognostic and therapeutic relevance. In this Primer, the authors describe these advances, as well as highlight the considerable advances in the systemic treatment of metastatic RCC.

Developments in genomic techniques have provided insight into the remarkable genetic complexity of malignant tumours. There is increasing evidence that solid tumours may comprise of subpopulations of cells with distinct genomic alterations within the same tumour, a phenomenon termed intra-tumour heterogeneity. Intra-tumour heterogeneity is likely to have implications for cancer therapeutics and biomarker discovery, particularly in the era of targeted treatment, and evidence for a relationship between intra-tumoural heterogeneity and clinical outcome is emerging. Our understanding of the processes that exacerbate intra-tumoural heterogeneity, both iatrogenic and tumour specific, is likely to increase with the development and more widespread implementation of advanced sequencing technologies, and adaptation of clinical trial design to include comprehensive tissue collection protocols. The current evidence for intra-tumour heterogeneity and its relevance to cancer therapeutics will be presented in this mini-review.

Key Points Colorectal cancer is a heterogeneous disease, at the intertumoural and intratumoural level, with molecularly-defined subgroups that differ in their prognosis and response to treatment Currently, only DNA mismatch-repair status, RAS -mutation and possibly BRAF -mutation status influence clinical decision-making, although the number of prognostic/predictive biomarkers is increasing A transcriptome-based classification of CRC into four consensus molecular subtypes, which differ in their biology and prognosis, and probably also in their responsiveness to treatment, has been reported International collaborations and innovative study designs are warranted to drive progress in the clinical development of subgroup-specific treatments Recent advances in molecular biology and our understanding of the development of colorectal cancer (CRC) has enabled the more-precise use of innovative targeted therapies for this disease. In particular, large databases to capture and store genomic information on causative genes frequently deregulated in CRC, the use of gene-expression profiling to differentiate the subtypes of CRC into prognostic and predictive groups, and results from next-generation sequencing analyses have led to an appreciation of the extensive intratumour heterogeneity of this disease. The authors highlight these advances, place them into clinical context, and present other novel targets and therapeutic opportunities on the horizon. In recent years, the high heterogeneity of colorectal cancer (CRC) has become evident. Hence, biomarkers need to be developed that enable the stratification of patients with CRC into different prognostic subgroups and in relation to response to therapies, according to the distinctive tumour biology. Currently, only RAS -mutation status is used routinely as a negative predictive marker to avoid treatment with anti-EGFR agents in patients with metastatic CRC, and mismatch-repair status can guide the use of adjuvant chemotherapy in patients with early stage colon cancer. Advances in molecular biology over the past decade have enabled a better understanding of the development of CRC, as well as the more-precise use of innovative targeted therapies for this disease, and include three fundamental achievements. First, the availability of large databases to capture and store the genomic landscape of patients with CRC, providing information on the genes that are frequently deregulated in CRC. Second, the possibility of using gene-expression profiling to differentiate the subtypes of CRC into prognostic groups. Third, results from highly sensitive next-generation sequencing analyses have led to an appreciation of the extensive intratumoural heterogeneity of CRC. Herein, we discuss these advances and place them into the clinical context, and present the novel targets and therapeutic opportunities that are on the horizon.

Advances in molecular biology, microfluidics and bioinformatics have empowered the study of thousands or even millions of individual cells from malignant tumours at the single-cell level of resolution. This high-dimensional, multi-faceted characterization of the genomic, transcriptomic, epigenomic and proteomic features of the tumour and/or the associated immune and stromal cells enables the dissection of tumour heterogeneity, the complex interactions between tumour cells and their microenvironment, and the details of the evolutionary trajectory of each tumour. Single-cell transcriptomics, the ability to track individual T cell clones through paired sequencing of the T cell receptor genes and high-dimensional single-cell spatial analysis are all areas of particular relevance to immuno-oncology. Multidimensional biomarker signatures will increasingly be crucial to guiding clinical decision-making in each patient with cancer. High-dimensional single-cell technologies are likely to provide the resolution and richness of data required to generate such clinically relevant signatures in immuno-oncology. In this Perspective, we describe advances made using transformative single-cell analysis technologies, especially in relation to clinical response and resistance to immunotherapy, and discuss the growing utility of single-cell approaches for answering important research questions.The availability of ever more sensitive cell sorting and sequencing technologies has enabled the interrogation of tumour cell biology at the highest possible level of resolution — analysis of a single cell. In this Perspective, the authors describe the application of such approaches to the analysis of single tumour-associated immune cells and their potential for improving the outcomes in patients receiving anti-cancer immunotherapies.

Key Points The metabolic ecology of tumours enables component cells to generate ATP, maintain redox balance, and undertake biosynthesis, which in turn support tumour progression Tumours share features of complex ecosystems, with cancer cells inducing nutrient enrichment; however, the requirement for a tight nutrient balance might be a vulnerability of tumours that can be exploited therapeutically Compared with their normal counterparts, tumour cells require higher rates of catabolite uptake, transfer, and utilization; hence, catabolite-deprivation might be a selective and effective anticancer treatment strategy Targeting glycolysis and mitochondrial metabolism with drug combinations holds promise as another strategy to disrupt the diverse metabolic compartments within tumours Measuring glucose, lactate, pyruvate, β-hydroxybutyrate, and glutamine levels in different tumour compartments and their intercompartmental transfer is needed in clinical trials that examine the efficacy of drugs targeting tumour metabolism Normal tissues frequently have activation of metabolic pathways that are upregulated in cancer and, therefore, dose-limiting toxicity is a challenge in the development of drugs targeting these pathways Metabolic reprogramming to support tumour growth is a near universal characteristic of cancer, and thus targeting cancer metabolism has been, and continues to be, a focus for drug-development efforts. In this Review, the authors describe the various metabolic alterations and vulnerabilities of tumours that are potentially important targets for anticancer agents, highlighting both the challenges and opportunities. Awareness that the metabolic phenotype of cells within tumours is heterogeneous — and distinct from that of their normal counterparts — is growing. In general, tumour cells metabolize glucose, lactate, pyruvate, hydroxybutyrate, acetate, glutamine, and fatty acids at much higher rates than their nontumour equivalents; however, the metabolic ecology of tumours is complex because they contain multiple metabolic compartments, which are linked by the transfer of these catabolites. This metabolic variability and flexibility enables tumour cells to generate ATP as an energy source, while maintaining the reduction–oxidation (redox) balance and committing resources to biosynthesis — processes that are essential for cell survival, growth, and proliferation. Importantly, experimental evidence indicates that metabolic coupling between cell populations with different, complementary metabolic profiles can induce cancer progression. Thus, targeting the metabolic differences between tumour and normal cells holds promise as a novel anticancer strategy. In this Review, we discuss how cancer cells reprogramme their metabolism and that of other cells within the tumour microenvironment in order to survive and propagate, thus driving disease progression; in particular, we highlight potential metabolic vulnerabilities that might be targeted therapeutically.