- Open Access
Major milestones in translational oncology
© The Author(s). 2016
Received: 5 July 2016
Accepted: 13 July 2016
Published: 28 July 2016
Translational oncology represents a bridge between basic research and clinical practice in cancer medicine. Today, translational research in oncology benefits from an abundance of knowledge resulting from genome-scale studies regarding the molecular pathways involved in tumorigenesis. In this Forum article, we highlight the state of the art of translational oncology in five major cancer types. We illustrate the use of molecular profiling to subtype colorectal cancer for both diagnosis and treatment, and summarize the results of a nationwide screening program for ovarian cancer based on detection of a tumor biomarker in serum. Additionally, we discuss how circulating tumor DNA can be assayed to safely monitor breast cancer over the course of treatment, and report on how therapy with immune checkpoint inhibitors is proving effective in advanced lung cancer. Finally, we summarize efforts to use molecular profiling of prostate cancer biopsy specimens to support treatment decisions. Despite encouraging early successes, we cannot disregard the complex genetics of individual susceptibility to cancer nor the enormous complexity of the somatic changes observed in tumors, which urge particular attention to the development of personalized therapies.
The term “translational oncology” first appeared in the scientific literature about 15 years ago [1, 2], although this field has a longer history, as it was the paradigm for translational research in general. The concept of translational research emerged from the US National Cancer Institute at the 1992 National Conference on Cancer Prevention and Early Detection, where James L. Mulshine and colleagues discussed how epithelial cancers could be blocked in the early stages of tumorigenesis if agents were developed to interfere with growth factors or other molecules involved in tumor promotion: ‘Through this type of translational research, important applications of molecular biology may greatly improve the success of preventative strategies for cancer control’ . Shortly afterwards, George D. Demetri, from the Dana-Farber Cancer Institute, wrote ‘research and clinical development of hematopoietic cytokines has been a magnificent example of “bench to bedside” translational research’ .
As translational research established itself as a bridge between basic research and clinical practice, its application spread beyond cancer to disease in general and then to non-biomedical fields such as engineering. This latter development required an update of terminology within the biomedical community. Thus, the term ‘translational medicine’, which had been used occasionally in the 1990s (e.g., ), became established in medical discourse upon the 2003 founding of the Journal of Translational Medicine. In its wake, dozens of journals on translational research were founded in a myriad of disciplines of biomedicine, including cancer research, for which it acquired a new term – translational oncology. While this field has been the pathfinder for translational research over the past 25 years, there has been ‘a remarkable acceleration in the pace of translational cancer medicine’ in the past decade thanks to the availability of powerful ‘molecular characterization technologies’ .
One exciting focus of translational oncology today is immunotherapy, where the combination of basic research on tumor cell biology and technological advances in immune cell engineering is permitting the development of therapeutic antibodies and cancer vaccines. Cancer immunotherapy was chosen as the ‘advance of the year’ for 2016 by the American Society of Clinical Oncology (ASCO) because ‘[i]n just a few short years, researchers and regulators have moved several different immunotherapy strategies from bench to bedside’ . Highlighted in the ASCO report are the monoclonal antibody drugs ipilimumab, nivolumab and pembrolizumab, which function as immune checkpoint inhibitors that enhance the body’s immune response to tumors, as well as novel approaches to boost the ability of T cells to detect and destroy cancer. One of these approaches involves the administration of a therapeutic cancer vaccine that delivers tumor antigen, with the aim of priming and activating tumor-specific T cells.
The field of vaccine-based immunotherapy is soon to receive an enormous boost by Cancer MoonShot 2020, a coalition of biotech and pharmaceutical companies, medical universities, and other institutions in the United States (US), sponsored and funded by the US government . The project aims to drive drug discovery by enrolling 20,000 patients with 20 tumor types in clinical trials, with the goal of developing effective cancer cures by 2020. Proponents of the program argue that a well-funded effort will succeed in its mission, just as the US succeeded in sending astronauts to the Moon in 1969. Others are more cautious, arguing that eliminating cancer is more complex than space travel, because cancer is not a single disease and individual tumors are not homogeneous entities .
The complexity of cancer is ever more apparent with every new discovery. Genome-wide association studies have shown that only a small fraction of an individual’s risk for cancer can be predicted by their genetic constitution, and that hundreds of genetic variants conspire to determine that risk . Often, disease-related genetic variants do not alter protein-coding regions of the genome, and evidence is emerging to show that they influence cell physiology by altering non-coding RNAs with gene-regulatory roles . Additional layers of complexity have emerged from the sequencing of cancer genomes. These efforts have revealed large intra-individual heterogeneity in neoplasms of the same organ and histotype, i.e., each tumor has its own mutational profile (for lung cancer, see ). Additionally, they have uncovered substantial intra-tumoral heterogeneity that complicates treatment decisions and calls into question the strategy of genotyping tumoral DNA using a single biopsy . Altogether, this new understanding of cancer complexity is the driving force in the development of diagnostic tests for the molecular profiling of tumors, which may guide the choice of suitable personalized therapies for each patient.
Antoni Castells reports on colorectal cancer (CRC), highlighting how gene expression profiling allowed the identification of four molecular subtypes, one of which is susceptible to immunotherapy with pembrolizumab; molecular profiling in this cancer also facilitated the development of a diagnostic test that detects tumor DNA in stool.
Vathany Kulasingam and Eleftherios P. Diamandis discuss a large, longitudinal United Kingdom screening program for ovarian cancer (OvCa) involving serum measurements of a tumor biomarker, namely carbohydrate antigen 125; although the cost-effectiveness of this program is yet to be defined, the program created a biobank that will support translational research from the clinic back to the laboratory.
Helena Earl reports on breast cancer, pointing to the many biomarkers already used to inform therapeutic decision-making and highlighting “liquid biopsy” (i.e., assay for circulating tumor DNA in blood) as a non-invasive way to monitor changes in a tumor’s genetic profile and response to therapy.
Wade T. Iams and Christine M. Lovly report recent advances in lung cancer research, focusing on oncogene-driven targeted therapy and immune checkpoint inhibitors that have changed the survival expectations for patients with advanced disease.
J.P. Michiel Sedelaar and Jack A. Schalken discuss recent milestones in prostate cancer research, highlighting how whole exome and transcriptome sequencing of biopsy specimens generated “clinically actionable information” about genomic aberrations in the majority of investigated patients.
Overall, this Forum highlights the state of the art of translational research in oncology, demonstrating several clinical successes but also disclosing areas in which further in-depth bench-to-bedside-and-back research is needed to increase the accuracy of early diagnoses, reduce therapy- and disease-related side effects, and improve the quality of life of patients during treatment.
Translational advances in colorectal cancer (CRC) research
CRC is one of the most prevalent cancers in Western countries and the second cause of cancer-related deaths worldwide , both of which justify considering CRC a major healthcare problem. However, from an academic perspective, its relevance goes beyond these figures, as it is a paradigm of translational oncology. Indeed, there are very few neoplasms, if any, in which research has been translated into clinical practice so rapidly and efficiently, thus continuously modifying our approach to the diagnosis, treatment and prevention of the disease.
In the last few decades, tremendous advances have been achieved in the characterization of most molecular mechanisms involved in colorectal carcinogenesis. Indeed, three pathways of genetic instability, namely chromosomal instability, microsatellite instability (MSI), and methylation, have been identified as being responsible for both sporadic and inherited CRC forms [15, 16]. Although several key investigations had uncovered some of the critical genes implicated in these pathways (i.e., APC, KRAS, TGF-β, TP53, PIK3CA, and DNA mismatch-repair (MMR) genes), a fully integrated view of the genetic and genomic changes and their significance for colorectal tumorigenesis was lacking until the Cancer Genome Atlas project reported a comprehensive molecular view . This extraordinary effort, using different genome-scale approaches (i.e., exome sequence, DNA copy number, promoter methylation, and messenger RNA and microRNA expression), has contributed to the classification of 15 % of these tumors as hypermutated (three-quarters of them exhibiting MSI, usually with hypermethylation and MLH1 silencing, and one-quarter with somatic MMR gene and POLE mutations) . Excluding these hypermutated cases, CRC tumors were found to have considerably similar patterns of genomic alteration; 24 genes were significantly mutated and, in addition to those in the expected APC, TP53, SMAD4, PIK3CA, and KRAS genes, other frequent mutations were observed in ARID1A, SOX9 and FAM123B . There is little doubt that results of this seminal investigation have enabled a deeper understanding of CRC pathophysiology and will definitely contribute to the identification of new therapeutic targets.
CRC, as other neoplasms, is a disease with heterogeneous outcomes and drug responses . On the other hand, it is widely accepted that gene expression-based subtyping is a valuable approach for patient stratification. In the last few years, different molecular CRC classifications have been proposed with the final goal of advancing towards a more personalized medicine. However, their impact on clinical practice has been scarce, mainly because of their discrepant results. To resolve these inconsistencies and facilitate clinical translation, an international consortium dedicated to large-scale data sharing has made considerable effort to coalesce six independent classification systems into four consensus molecular subtypes with distinguishing features: MSI immune (hypermutated, microsatellite unstable, and strong immune activation), canonical (epithelial, marked WNT and MYC signaling activation), metabolic (epithelial and evident metabolic dysregulation), and mesenchymal (prominent TGF-β activation, stromal invasion and angiogenesis) . This new classification approach based on well-differentiated biological profiles may represent a landmark for future clinical stratification and subtype-based targeted interventions .
An example of how advances in basic science are revolutionizing the therapeutic approach to CRC is the recent demonstration of MSI as predictor of a favorable response to immunotherapy in patients with advanced neoplasms . Indeed, these authors hypothesized that tumors with a large number of somatic mutations due to MMR defects (those exhibiting MSI) were susceptible to immune checkpoint blockade. Using pembrolizumab, an anti-programmed death 1 immune checkpoint inhibitor, it has been possible to demonstrate an increased progression-free survival (hazard ratio (HR), 0.10; P < 0.001) and overall survival (HR, 0.22; P = 0.05) in patients with MMR-deficient CRC with respect to those with MMR-proficient lesions . This beneficial effect was not limited to patients with CRC, but also extended to other MMR-deficient tumors, thus emphasizing the fact that advances in one particular type of cancer can be extrapolated to other neoplasms sharing the same underlying molecular mechanism. It is important to keep in mind, however, that molecular profiling cannot entirely replace conventional tumor classification based on organ site. In fact, a recent study evaluating the usefulness of vemurafenib in patients with various BRAF V600-mutated non-melanoma cancers demonstrated that this oncogene seems to be targetable in some, but not all, tumors .
Besides targeting therapeutics, molecular profiling may also have potential for CRC screening, a preventive approach to reduce the burden of this disease on healthcare systems. Indeed, the utility of this strategy has been accepted by the European Commission, which encourages the implementation of screening programs throughout Europe . Recommended CRC screening strategies fall in two broad categories: stool tests (i.e., fecal immunochemical testing (FIT) for occult blood) that primarily detect cancer, and structural exams (i.e., flexible sigmoidoscopy, colonoscopy and CT-colonography), which are effective in detecting both cancer and premalignant lesions. Whereas FIT is predominant in Europe and Australia, colonoscopy is the dominant screening modality in the US . Very recently, a new non-invasive, molecular-based strategy has been added to the first category . In this seminal study, a multi-target stool DNA test (which includes quantitative molecular assays for KRAS mutations, aberrant NDRG4 and BMP3 methylation, and β-actin, as well as a hemoglobin immunoassay) was superior to FIT in terms of sensitivity for detecting CRC (92.3 % vs. 73.8 %, respectively; P = 0.002) and, more importantly, advanced precancerous lesions (42.4 % vs. 23.8 %, respectively; P < 0.001), albeit at the expense of a lower specificity (89.8 % vs. 96.4 %, respectively; P < 0.001) .
Finally, an understanding of the genetics of inherited CRC is also important to identify at-risk individuals and to consequently improve diagnostic and therapeutic strategies among gene carriers. Indeed, familial predisposition occurs in approximately 25 % of patients with CRC, being hereditary syndromes with a known genetic defect responsible for up to 5 % of all these tumors [15, 16]. In such a context, genetic testing, thus far, has been performed in a phenotype-driven manner . However, the availability of multigene panels for hereditary cancer risk assessment that allow for next-generation sequencing of numerous genes in parallel is changing the current approach . Although the benefits of such comprehensive testing strategies are still under debate, there are few doubts that they have arrived to stay.
To screen or not to screen for ovarian cancer (OvCa) – results of UKCTOCS study
OvCa is the most lethal gynecological malignancy, accounting for 5–6 % of all cancer-related deaths. As with any cancer, the notion of earlier OvCa diagnosis and population screening is an attractive but challenging proposition; OvCa has low prevalence (0.1 %), which means that, to be of clinical relevance, a screening test must have a positive predictive value of > 10 %, with a specificity of > 99.6 % and a sensitivity of > 75 %. In addition, since OvCa lacks a recognizable latent phase, overdiagnosis, misdiagnosis, and creation of a false sense of security are some of the potential adverse effects of screening. Using prostate-specific antigen as a screening test for prostate cancer as an example, two large randomized prospective trials have been completed and it is still unclear whether the benefits outweigh the harms in this setting . On the contrary, screening for cervical cancers has resulted in a significant (50–90 %) reduction in disease-specific mortality.
Based on the World Health Organization’s 10 principles of screening  (including, but not limited to, the disease being an important health problem as well as appropriate treatment and a suitable test acceptable to the population being available), population screening for OvCa is warranted. The ability to detect human malignancy via a simple blood test has long been an objective in medical screening. The advantages of such an easy to use, relatively non-invasive and operator-independent test are self-evident. A variety of ovarian tumor markers have been studied; the most extensively investigated of these being carbohydrate antigen 125 (CA125), a large glycoprotein of unknown function. Since its discovery in 1981 by Bast, Jr. et al , CA125 still remains the gold-standard serum biomarker for OvCa. As such, a handful of OvCa screening trials have been undertaken, including the ovarian arm of the Prostate, Lung, Colorectal, Ovarian (PLCO) Cancer Screening trial (USA) . The PLCO trial was a randomized controlled trial (RCT) of approximately 68,000 post-menopausal women, of whom approximately 30,000 underwent screening between 1993 and 2007. The women were screened using serum CA125 with a single cut-off of ≥ 35 kU/L and transvaginal ultrasound for 4 years followed by CA125 alone for a further 2 years. The results showed no reduction in mortality.
However, by far the largest RCT has been the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), whose primary objective was to assess the effect of screening on disease mortality . We believe that this effort, undertaken by Jacob et al., represents one of the most important translational advances in OvCa research. Over 1.2 million women were recruited from 13 regional centers in England, Wales and Northern Ireland over the course of approximately 4 years, starting in 2001, with approximately 200,000 post-menopausal women being randomly assigned in a 1:1:2 ratio to annual multimodal screening (MMS) with serum CA125 interpreted with the risk of OvCa algorithm (ROCA) and with transvaginal ultrasound (USS), annual USS alone, or no screening. The study was powered to detect a mortality reduction of 30 %. At a median 11 years’ follow-up, OvCa was diagnosed in 0.7 % of women in the MMS group versus 0.6 % in each of the USS and no screening groups. The primary outcome analysis spanning 0–14 years showed no significant reduction in mortality in the MMS and USS groups (15 % and 11 %) when compared to the no screening arm. Nonetheless, a secondary sub-group analysis did show the benefit of screening in women between the latter half of the screening period (years 7–14), when prevalent cases were excluded (28 % mortality reduction after 7 years of screening in the MMS group). The authors state that this is due to the late effect on mortality that is seen in screening trials and that additional follow-up of the UKCTOCS cohort is necessary before “firm conclusions” can be reached on the efficacy and cost-effectiveness of OvCa screening.
One key difference between the UKCTOCS study and other OvCa screening trials is in the interpretation of serum CA125. UKCTOCS used ROCA – an algorithm that compares the CA125 profile (not just a single cut-off value) of cases to that of healthy women and incorporates age-specific incidence of OvCa in calculating risk . Using ROCA, the study triaged women to normal (annual screening), intermediate (repeat CA125 in 3 months), and elevated (repeat CA125 and perform USS). However, a post-hoc analysis of the PLCO cohort using ROCA as the screening modality showed that it would not have produced a statistically significant mortality reduction effect .
Despite the modest reduction in mortality in the UKCTOCS trial, the authors have to be given credit for conducting a large scale RCT of this magnitude over the course of approximately 15 years. More than 200,000 participants, > 650,000 annual screening events, a multicenter setting, and strong quality assurance programs for standardization of ultrasound findings are some of the highlights of the RCT study design. Further, the fact that they were able to achieve 99 % compliance on follow-up certainly deserves applause. In addition, a side, and arguably one of the most important, benefits to arise from this exercise is the biorepository they now possess – longitudinal samples with excellent, linked clinical data that can serve as a useful resource for a broad research community to investigate the prevention, early detection, etiology, and treatment of OvCa. Additional follow-up ancillary studies and evaluation of the cohorts with different cut-off values or groups may also be examined, ultimately serving as a rich data-mining resource.
Translational breast cancer research – past success and future promise
Translational cancer research provides a “bridge” between fundamental scientific research and clinical research, often referred to colloquially as “bench-to-bedside”. Scientific cancer researchers, on the one hand, and clinical researchers, on the other, pursue their academic tracks with passion and precision, each in their own increasingly complex environment. So what of the “translational research” bridge? To follow the analogy, a physical bridge is designed by a team of highly trained structural engineers, to last for centuries carrying constant heavy traffic. The equivalent translational cancer research structure, at present, would be more equivalent to a high-wire act or, at best, a single track, one-way, wobbly construction, suspended between mountain tops! It is time to construct a robust, state-of-the-art translational bridge, built to last.
The cultural challenges in bringing together the scientific and clinical research groups in a meaningful dialogue are considerable; there needs to be mutual understanding and respect across the bridge, which is sensitive to the endeavors on both sides. The recent journal debate around more public access to clinical trials data has been timely . Clinical trials data, painstakingly collected and analyzed, clearly need to be published fully, including that of negative or inconclusive studies. Nevertheless, the high quality clinical data from trials should remain the asset of researchers who have devoted their careers to developing, running, and analyzing these clinical trials. Clearly, with appropriate safeguards, these data can be shared, along with the translational samples being increasingly collected within large phase 3 clinical trials . Thus, a sensitive partnership can be developed to move forward – without the clinical research effort in trials, there would be less high-quality data, with allied translational tumor and germline banks for scientists to investigate.
So, in the translational effort, could large clinical trials be replaced by ‘big data’ national and international collections from breast cancer populations? Whilst the short answer is ‘yes’, tumor and germline cancer genomics collections are now being developed, and will enable translational research to be carried out routinely within cancer centres. Undoubtedly, the advantages of clinical trial-based translational research will remain. These include more homogeneous populations of patients, treated in a standard way, with excellent governance of treatment delivery, patient safety, follow-up, and short- and long-term outcomes analyses. Routine data collection in cancer clinics/centres will have to become an order of magnitude better to replace the data available within clinical trials, and apart from other challenges, will incur considerable cost.
Translational breast cancer research includes past success and enormous future potential and has been at the forefront of this field. The ultimate goal is the application of precision medicine and personalized breast cancer care to all patients. Notable successes include biomarkers of treatment response in routine clinical use such as ER, PR, HER2, and Ki67. A large number of predictive biomarkers of response to targeted, novel agents are emerging, although there remain considerable challenges in terms of the robustness of these in the clinic. Many large phase 3 breast cancer clinical trials have translational collections that have been utilized for translational research in terms of tumor biomarkers , germline predisposition to breast cancer and association with prognosis , and pharmacogenetics . Phase 2 breast cancer trials have embedded a rich seam of translational research and, in this context, ‘window’ studies carried out pre-operatively are being utilized . The neoadjuvant context has been a translational treasure trove, likely to lead to the more rapid introduction of novel therapies with significant translational discovery . Breast cancer researchers have led the field with the discovery and validation of tumor genomic stratification [40, 41] and plasma circulating tumor DNA (ctDNA) in both metastatic  and early breast cancer .
There are two recent advances in breast cancer translational research that deserve particular mention. The first is the outstanding work of the METABRIC (Molecular Taxonomy of Breast Cancer International) Consortium , which was the first to discover and validate 10 clusters of breast cancer stratified by long-term breast cancer-specific survival, an important recent advance in translational breast cancer research. This analysis was carried out on 2000 breast cancers, collected in fresh tissue tumor banks and funded within an international consortium. The same group has recently refined this dataset with the definition of somatic tumor mutations in a total of 2500 fresh breast tumors . This detailed translational research will inform not only breast cancer prognosis within the 10 groups, but also the underlying biology of these novel stratifications of breast cancer. In addition, this will allow the potential to utilize these to predict response not only to novel targeted small molecule therapies, but also an increasing number of novel immune therapies through both antibody and vaccine treatments. These novel stratified groups have been defined from the start with access to the clinical follow-up data and, inevitably, the advances achieved will have important impact and treatment outcomes on patients with breast cancer.
The second is the use of ctDNA to track mutations and response to treatment in both metastatic  and neo/adjuvant breast cancer . The forefront translational research in Cambridge, UK has been important to define and integrate ctDNA into clinical/translational research in metastatic breast cancer. Following the original descriptions of rapid biomarker response to treatment defined in the seminal publication , ctDNA is now being embedded into study designs. Further elegant research demonstrates the ability to track specific mutations present in the primary tumor , which now offers the potential to include ctDNA tracking into the design of novel feasibility studies due to start in 2016. In the near future, the use of ctDNA as a repeatable “liquid biopsy” will become a reality, allowing translational and clinical researchers the potential of a dynamic tracking of tumor heterogeneity and the distinct possibility of personalizing precision treatments for patients in real time.
Recent advances in translational lung cancer research
Lung cancer is the leading cause of cancer deaths worldwide . More than 85 % of lung cancers are classified as non-small cell lung cancer (NSCLC), as defined by histologic features. NSCLC can be divided into several subtypes, of which adenocarcinoma is the most common, comprising over 50 % of all lung cancers . Although histological features currently remain the basis of clinical diagnosis, advances in molecular oncology have allowed researchers to identify oncogenes and therapeutic targets in NSCLC such as epidermal growth factor receptor (EGFR). Tremendous progress has been made in advancing the diagnosis and treatment of patients with lung cancer. The progress in translational lung cancer research over the past 5 years can be divided into four broad categories: (1) new treatments for patients with acquired resistance to molecular-targeted therapy; (2) ongoing development of ctDNA (also known as “liquid biopsy”) technology for clinical use; (3) a dramatic surge in the number of clinical trials involving immune checkpoint inhibitors; and (4) early progress in novel therapies for patients with small cell lung cancer (SCLC). We will highlight demonstrative examples from each of these areas of translational research in lung cancer to illustrate the direction of the field.
On November 13, 2015, the United States Food and Drug Administration (FDA) granted accelerated approval to osimertinib for the treatment of patients with NSCLC harboring an EGFR T790M mutation. Mutations in EGFR are detected in approximately 30–40 % of Asian patients and 10 % of Caucasian patients with NSCLC . While initial therapy targeting this mutation is quite effective, drug resistance typically develops within 1–2 years . The EGFR T790M “second site” mutation is the most common resistance mechanism, affecting 60 % of patients with EGFR-mutant NSCLC that has acquired resistance to EGFR-targeted therapy . Osimertinib is the first FDA-approved drug for patients with acquired resistance to the FDA-approved EGFR tyrosine kinase inhibitors erlotinib, gefitinib and afatinib. Whereas erlotinib, gefitinib and afatinib were designed against wild-type EGFR, osimertinib was specifically designed to be selective for mutant EGFR, thereby increasing the precision of our therapies . The approval of this drug demonstrates that targeting resistance mechanisms is a successful paradigm for ongoing research to improve outcomes in lung cancer patients with mutant EGFR and other known oncogenes, such as the ALK and ROS1 genes.
As the monitoring of dynamic changes in oncogene mutations takes on greater therapeutic importance, developing technology to screen patients for these changes without repeating invasive tumor biopsies is critical. Accordingly, on the same day that osimertinib’s FDA approval was announced, the FDA also announced approval of the first companion diagnostic test to detect EGFR T790M mutations in blood (Cobas EGFR mutation test v2); this is one example of many assays designed and optimized to detect ctDNA in plasma. The clinical application of this technology represents the progress of nearly a decade of research into strategies to monitor specific lung cancer mutations in the bloodstream and, in some cases, bloodstream mutation monitoring has detected resistance mutations up to 4 months prior to radiographic progression on oncogene-targeted therapy [47, 48]. As specific oncogene mutation-directed therapies proliferate, clinically applicable assays to detect these mutations are being developed in lockstep, such that lung cancer care is rapidly becoming not only genomically personalized, but is doing so in a dynamic manner. ctDNA testing has the potential to revolutionize not only how we diagnose and treat lung cancer, but other solid organ tumors as well.
While NSCLC is the most common form of lung cancer, 15 % of patients with lung cancer have SCLC. Patients with this disease have not seen a change in therapy for over 30 years . The success of nivolumab and pembrolizumab in patients with NSCLC has spurred clinical trials of each agent in patients with SCLC (NCT01928394 and NCT02054806, respectively). Not only immune checkpoint inhibitors, but molecularly targeted therapies are being assessed in clinical trials in patients with SCLC. Delta-like protein 3 is an inhibitor of neuroendocrine cell differentiation preferentially expressed in patients with SCLC compared to control patients . An inhibitor of Delta-like protein 3, Rovalpituzumab Tesirine, is being tested in an ongoing clinical trial (NCT02674568). These clinical trials demonstrate the potential for treatment improvements in the near future for patients with this recalcitrant malignancy.
While lung cancer remains the most lethal malignancy worldwide, the success of oncogene-driven targeted therapy and immune checkpoint inhibitors has already changed the landscape of survival for patients with advanced disease. As the aforementioned translational research advances indicate, the field is rapidly progressing through paradigm shifting techniques; physicians should be aware of the recent improvements in outcomes for patients with this disease.
Recent breakthroughs in translational prostate cancer research
With the abundance of scientific work in the field of oncological urology, it is very hard to distinguish the most important recent translational advances in urological cancer research. When do you consider science to be a real clinical game changer, in comparison to basic research work which in itself explains small steps in an oncological phenomenon, but in fact can lead (by serendipity sometimes) to breakthroughs? Even the fact that a paper may be considered a milestone is often subject to a difference of opinions. Nevertheless, we highlight herein four papers that, in our opinion, represent groundbreaking advancements in translational research. One of our major considerations for candidates for these milestones in translational research would be the immediate impact on the direct translation of the presented findings into clinical practice. The selected papers were published in high impact journals within the last 18 months. Non-surprisingly, all papers are the fruit of labor from well-established international and multidisciplinary research teams.
The first paper to be discussed as a game changer in the field of personalized prostate cancer care is that by Robinson et al. . The group presents their work on a multi-institutional clinical sequencing infrastructure to conduct prospective whole-exome and transcriptome sequencing of bone or soft tissue tumor biopsies from a cohort of 150 castration-resistant prostate cancer (CRPC)-affected individuals. CRPC is the terminology used for patients with prostate cancer who progress despite the use of hormonal treatment. Even with the combination of luteinizing hormone releasing hormone analogs and the anti-androgen blockade, patients progress on prostate-specific antigen (PSA) level, symptoms and/or imaging. In these patients, the androgen receptor (AR) is still a major driver of prostate cancer. The authors describe several known and new aberrations in the genome. Aberrations of AR ETS genes, TP53 and PTEN, were frequent, with, not surprisingly, enriched TP53 and AR alterations in metastatic CRPC compared to primary prostate cancer. New genomic alterations were found in PIK3CA/B, R-spondin, BRAF/RAF1, APC, β-catenin, and ZBTB16/PLFZ. Aberrations in BRCA2, BRCA1 and ATM were observed at substantially higher frequencies compared to those in primary prostate cancers. Of all patients, 89 % harbored a clinically actionable aberration, mostly in the AR (62.7 %) and in other cancer-related genes (65 %), and 8 % with actionable pathogenic germline alterations. This multi-institutional group concluded that the cohort study provides the clinically actionable information that could impact treatment decisions for these patients. The findings underline the fact that CRPC is a general term used for an accumulation of many different types of genomic alterations in prostate cancer, which should all be treated differently. This study provides prostate cancer clinicians grounds for re-biopsy of their patients during the course of the disease and treatment, in order to facilitate personalized medical treatment for their developing CRPC.
The next groundbreaking paper is that by Mateo et al. , which indicates that the model proposed, i.e., precision medicine based on the molecular profile of the cancer’s actionable targets, can be validated. This study describes a phase 2 trial conducted in patients with progressive metastatic CRPC (mCRCP) and treated with olaparib. Olaparib is a new poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) inhibitor. PARP is involved in multiple aspects of DNA-repair and the PARP-inhibitor olaparib has been approved for the treatment of OvCa with BRCA1/2 mutations. PARP-inhibition has durable antitumor activity in men with mCRPC and deleterious germline BRCA2 mutations, a disease subset of mCRPC associated with a poor prognosis . Fifty eligible patients had histologically confirmed mCRPC with progression after chemotherapy. All patients were treated with 2dd 400 mg olaparib. The primary endpoint was the response rate, defined as a response according to RECIST criteria, or a PSA-decrease of 50 % or more, or a conversion in the circulating tumor-cell count from > 5/7.5 mL to < 5/7.5 mL. For all patients, biomarker studies were prospectively planned. Of the 49 evaluated patients, 16 had a response to olaparib with a median duration of treatment of 40 weeks. Overall, 16 patients (33 %) had tumor aberrations in DNA-repair genes. Patients with aberrations in DNA-repair genes had a significantly higher response to olaparib. Specifically, the seven patients with BRCA2-loss had PSA levels that fell by 50 % or more from baseline. From these seven patients, the five with measurable disease also had a radiologic partial response. Further, four out of five patients with deleterious ATM mutations had a response to olaparib. The authors concluded that the results of this phase 2 clinical trial suggest that a common subset of metastatic prostate cancers can be molecularly stratified for treatment using high-throughput next generation sequencing assays. Very much like Robinson et al. , this paper underlines the need for re-biopsy of patients during the course of their disease in order to achieve personalized treatment.
The last two breakthrough papers are discussed together, since these have been published by the same research group. Gao et al.  and Drost et al.  respond to the lack of in vitro prostate cancer models that reflect the diversity in human prostate cancer. The authors describe the development of a 3D-organoid system for long-term individual culture of prostate cancer from biopsy specimens and circulating tumor cells. The methodology described in these manuscripts should enable the generation of a large repertoire of patient-derived prostate cancer-lines amenable to genetic and pharmacologic studies. As the authors explain, the past few years have seen a dramatic increase in the number of approved therapies, with several promising investigational agents in late stage development for mCRPC. The response to these novel agents, however, is highly variable and only about 30 % of mCRPC patients will attain a durable response of more than 6 months. These models can be used to study the ever growing number of approved therapies for mCRPC, the combination and sequencing of such therapies, and to predict patient response.
As stated above, the process of selecting game changing papers from such an enormous field of translational prostate cancer studies will lead to other research milestones being ignored. Nevertheless, aside from personal opinion, the selected papers have also been recognized by the research community as being groundbreaking. Their common denominator is the acknowledgement of the diversity of genomic alterations in mCRPC and the need for a personalized treatment option for these patients. Using fresh tissue re-biopsy, circulating tumor cells or 3D-organoid cell systems, the genomics of mCRPC can be studied and responses to different therapies could even be predicted. These studies have most definitely changed the understanding of mCRPC and the methods through which the ever expanding armamentarium of prostate cancer treatments are selected for individual patients, thus improving patient outcomes.
AR, androgen receptor; CA125, carbohydrate antigen 125; CRC, colorectal cancer; CRPC, castration resistant prostate cancer; ctDNA, circulating tumor DNA; EGFR, epidermal growth factor receptor; FDA, United States Food and Drug Administration; FIT, fecal immunochemical testing; mCRPC, metastatic castration resistant prostate cancer; MMR, mismatch-repair; MMS, multimodal screening; MSI, microsatellite instability; NSCLC, non-small cell lung cancer; OvCa, ovarian cancer; PLCO, Prostate, Lung, Colorectal, Ovarian; PSA, prostate-specific antigen; RCT, randomized controlled trial; ROCA, risk of ovarian cancer algorithm; SCLC, small cell lung cancer; UKCTOCS, UK Collaborative Trial of Ovarian Cancer Screening; USS, transvaginal ultrasound
TAD was supported by a grant from the Italian Association for Cancer Research (AIRC, grant no. IG 14714). AC was supported by grants from the Ministerio de Economía y Competitividad (SAF2014-54453-R), the Agència de Gestió d’Ajuts Universitaris i de Recerca (2014SGR135), and the Fundación Científica de la Asociación Española contra el Cáncer (GCB13131592CAST). CIBERehd is funded by the Instituto de Salud Carlos III. IDIBAPS, Institut d’Investigacions Biomèdiques August Pi i Sunyer. CML was supported in part by the National Institutes of Health (NIH) and National Cancer Institute (NCI) R01CA121210 and P01CA129243. CML was additionally supported by a Damon Runyon Clinical Investigator Award, a LUNGevity Career Development Award, a V Foundation Award, and an AACR-Genentech Career Development Award.
All authors were involved in drafting, editing and revising the manuscript, and agreed to its publication. All authors read and approved the final manuscript.
TAD, VK, EPD, WI, JPMS and JAS have no financial or non-financial competing interests to declare. AC is a member of the European Scientific Advisory Board of Exact Sciences. Moreover, he has received research funding from Eiken, Epigenomics, Norgine, Olympus, Roche Diagnostics and Siemens Healthcare. CML has served as a consultant for Pfizer, Novartis, Sequenom, Clovis, Genoptix and Ariad, and has been an invited speaker for Abbott and Qiagen. CML has received research funds from Astra Zeneca, Novartis, and Xcovery. HME has received research funding from Cancer Research UK, and the NIHR HTA, and is funded by the NIHR Cambridge Biomedical Research Centre. She has also received unrestricted educational grants to support investigator initiated clinical trials from Lilly, Roche and Sanofi Aventis, and has received free gemcitabine from Lilly and free bevacizumab from Roche for clinical trials. HME has provided clinical advice at Advisory Board meetings for Roche, Pfizer and Astra Zeneca. She has been an expert advisor for NHS NICE Health Technology Assessments.
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- Blagosklonny MV. From the war on cancer to translational oncology. Cancer Biol Ther. 2002;1:711–4.View ArticlePubMedGoogle Scholar
- George S, Desai J. Management of gastrointestinal stromal tumors in the era of tyrosine kinase inhibitors. Curr Treat Options Oncol. 2002;3:489–96.View ArticlePubMedGoogle Scholar
- Mulshine JL, Jett M, Cuttitta F, Treston AM, Quinn K, Scott F, Iwai N, Avis I, Linnoila RI, Shaw GL. Scientific basis for cancer prevention. Intermediate cancer markers. Cancer. 1993;72:978–83.View ArticlePubMedGoogle Scholar
- Demetri GD. Beyond supportive care: what are the next questions in the use of hematopoietic cytokines with cytotoxic chemotherapy? Blood. 1993;82:2278–80.PubMedGoogle Scholar
- Geraghty J. Adenomatous polyposis coli and translational medicine. Lancet. 1996;348:422.View ArticlePubMedGoogle Scholar
- Doroshow JH, Kummar S. Translational research in oncology--10 years of progress and future prospects. Nat Rev Clin Oncol. 2014;11:649–62.View ArticlePubMedGoogle Scholar
- Dizon DS, Krilov L, Cohen E, Gangadhar T, Ganz PA, Hensing TA, Hunger S, Krishnamurthi SS, Lassman AB, Markham MJ, Mayer E, Neuss M, Pal SK, Richardson LC, Schilsky R, Schwartz GK, Spriggs DR, Villalona-Calero MA, Villani G, Masters G. Clinical Cancer Advances 2016: annual report on progress against cancer from the American Society of Clinical Oncology. J Clin Oncol. 2016;34:987–1011.View ArticlePubMedPubMed CentralGoogle Scholar
- Cancer Moonshot 2020. http://www.cancermoonshot2020.org/. Accessed 4 July 2016.
- Back to Earth. Nature. 2016;530:253–4.Google Scholar
- Galvan A, Ioannidis JP, Dragani TA. Beyond genome-wide association studies: genetic heterogeneity and individual predisposition to cancer. Trends Genet. 2010;26:132–41.View ArticlePubMedPubMed CentralGoogle Scholar
- St Laurent G, Vyatkin Y, Kapranov P. Dark matter RNA illuminates the puzzle of genome-wide association studies. BMC Med. 2014;12:97.View ArticlePubMedPubMed CentralGoogle Scholar
- Campbell JD, Alexandrov A, Kim J, Wala J, Berger AH, Pedamallu CS, Shukla SA, Guo G, Brooks AN, Murray BA, Imielinski M, Hu X, Ling S, Akbani R, Rosenberg M, Cibulskis C, Ramachandran A, Collisson EA, Kwiatkowski DJ, Lawrence MS, Weinstein JN, Verhaak RG, Wu CJ, Hammerman PS, Cherniack AD, Getz G, Cancer Genome Atlas Research N, Artyomov MN, Schreiber R, Govindan R, Meyerson M. Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas. Nat Genet. 2016;48:607–16.View ArticlePubMedPubMed CentralGoogle Scholar
- Parker NR, Khong P, Parkinson JF, Howell VM, Wheeler HR. Molecular heterogeneity in glioblastoma: potential clinical implications. Front Oncol. 2015;5:55.PubMedPubMed CentralGoogle Scholar
- GLOBOCAN 2012. http://globocan.iarc.fr/Pages/fact_sheets_cancer.aspx. Accessed 11 July 2016.
- Castells A, Castellvi-Bel S, Balaguer F. Concepts in familial colorectal cancer: where do we stand and what is the future? Gastroenterology. 2009;137:404–9.View ArticlePubMedGoogle Scholar
- Vasen HF, Tomlinson I, Castells A. Clinical management of hereditary colorectal cancer syndromes. Nat Rev Gastroenterol Hepatol. 2015;12:88–97.View ArticlePubMedGoogle Scholar
- The Cancer Genome Atlas Network. Comprehensive molecular characterization of human colon and rectal cancer. Nature. 2012;487:330–7.View ArticlePubMed CentralGoogle Scholar
- Van Cutsem E, Borras JM, Castells A, Ciardiello F, Ducreux M, Haq A, et al. Improving outcomes in colorectal cancer: where do we go from here? Eur J Cancer. 2013;49:2476–85.View ArticlePubMedGoogle Scholar
- Guinney J, Dienstmann R, Wang X, de Reynies A, Schlicker A, Soneson C, et al. The consensus molecular subtypes of colorectal cancer. Nat Med. 2015;21:1350–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Le DT, Uram JN, Wang H, Bartlett BR, Kemberling H, Eyring AD, et al. PD-1 blockade in tumors with mismatch-repair deficiency. N Engl J Med. 2015;372:2509–20.View ArticlePubMedPubMed CentralGoogle Scholar
- Hyman DM, Puzanov I, Subbiah V, Faris JE, Chau I, Blay JY, et al. Vemurafenib in multiple nonmelanoma cancers with BRAF V600 mutations. N Engl J Med. 2015;373:726–36.View ArticlePubMedPubMed CentralGoogle Scholar
- Segnan N, Patnick J, von Karsa L, editors. European guidelines for quality assurance in colorectal cancer screening and diagnosis. Luxembourg: Publications Office of the European Union; 2010.Google Scholar
- Quintero E, Castells A, Bujanda L, Cubiella J, Salas D, Lanas A, et al. Colonoscopy versus fecal immunochemical testing in colorectal-cancer screening. N Engl J Med. 2012;366:697–706.View ArticlePubMedGoogle Scholar
- Imperiale TF, Ransohoff DF, Itzkowitz SH, Levin TR, Lavin P, Lidgard GP, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–97.View ArticlePubMedGoogle Scholar
- Moreira L, Balaguer F, Lindor N, de la Chapelle A, Hampel H, Aaltonen LA, et al. Identification of Lynch syndrome among patients with colorectal cancer. JAMA. 2012;308:1555–65.View ArticlePubMedGoogle Scholar
- Yurgelun MB, Allen B, Kaldate RR, Bowles KR, Judkins T, Kaushik P, et al. Identification of a variety of mutations in cancer predisposition genes in patients with suspected Lynch syndrome. Gastroenterology. 2015;149:604–13.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim EH, Andriole GL. Prostate-specific antigen-based screening: controversy and guidelines. BMC Med. 2015;13:61.View ArticlePubMedPubMed CentralGoogle Scholar
- Wilson JMG, Jungner G. Principles and practice of screening for disease. Geneva: World Health Organization; 1968.Google Scholar
- Bast Jr RC, Feeney M, Lazarus H, Nadler LM, Colvin RB, Knapp RC. Reactivity of a monoclonal antibody with human ovarian carcinoma. J Clin Invest. 1981;68:1331–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Buys SS, Partridge E, Black A, Johnson CC, Lamerato L, Isaacs C, et al. Effect of screening on ovarian cancer mortality: the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Randomized Controlled Trial. JAMA. 2011;305:2295–303.View ArticlePubMedGoogle Scholar
- Jacobs IJ, Menon U, Ryan A, Gentry-Maharaj A, Burnell M, Kalsi JK, et al. Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial. Lancet. 2016;387:945–56.View ArticlePubMedPubMed CentralGoogle Scholar
- Skates SJ. Ovarian cancer screening: development of the risk of ovarian cancer algorithm (ROCA) and ROCA screening trials. Int J Gynecol Cancer. 2012;22 Suppl 1:S24–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Pinsky PF, Zhu C, Skates SJ, Black A, Partridge E, Buys SS, et al. Potential effect of the risk of ovarian cancer algorithm (ROCA) on the mortality outcome of the Prostate, Lung, Colorectal and Ovarian (PLCO) trial. Int J Cancer. 2013;132:2127–33.View ArticlePubMedGoogle Scholar
- Taichman DB, Backus J, Baethge C, et al. Sharing clinical trial data--a proposal from the International Committee of Medical Journal Editors. N Engl J Med. 2016;374(4):384–6.View ArticlePubMedGoogle Scholar
- Bartlett JMS, McConkey C, Munro A, et al. Not only, but also: combining TOP2A and CEP17 predicts benefit from anthracyclines in a prospectively planned meta-analysis across five trials. J Clin Oncol. 2015;33(15):1680–7.View ArticlePubMedGoogle Scholar
- Pirie A, Guo Q, Kraft P, et al. Common germline polymorphisms associated with breast cancer specific survival. Breast Cancer Res. 2015;17:58.View ArticlePubMedPubMed CentralGoogle Scholar
- Abraham JE, Guo Q, Dorling L, et al. Replication of genetic polymorphisms reported to be associated with taxane-related sensory neuropathy in breast cancer patients treated with neo-adjuvant and adjuvant paclitaxel. Clin Cancer Res. 2014;20(9):2466–75.View ArticlePubMedGoogle Scholar
- Schmid P, Pinder SE, Wheatley D, et al. Phase II randomized preoperative window-of-opportunity study of the PI3K inhibitor pictilisib plus anastrozole compared with anastrozole alone in patients with estrogen receptor-positive breast cancer. J Clin Oncol. 2016;34(17):1987–94.View ArticlePubMedGoogle Scholar
- Loibl S, Darb-Esfahani S, Huober J, et al. Integrated analysis of PTEN and p4EBP1 protein expression as predictors for pCR in HER2-positive breast cancer. Clin Cancer Res. 2016;22(11):2675–83.View ArticlePubMedGoogle Scholar
- Curtis C, Shah SP, Chin SF, et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012;486(7403):346–52.PubMedPubMed CentralGoogle Scholar
- Pereira B, Chin S-F, Rueda OM, et al. The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes. Nat Commun. 2016;7:11479.View ArticlePubMedPubMed CentralGoogle Scholar
- Dawson SJ, Tsui DW, Murtaza M, et al. Analysis of circulating tumor DNA to monitor metastatic breast cancer. N Engl J Med. 2013;368(13):1199–209.View ArticlePubMedGoogle Scholar
- Garcia-Murillas I, Schiavon G, Weigelt B, et al. Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer. Sci Transl Med. 2015;7(302):302ra133.View ArticlePubMedGoogle Scholar
- Islami F, Torre LA, Jemal A. Global trends of lung cancer mortality and smoking prevalence. Transl Lung Cancer Res. 2015;4:327–38.PubMedPubMed CentralGoogle Scholar
- Pao W, Girard N. New driver mutations in non-small-cell lung cancer. Lancet Oncol. 2011;12:175–80.View ArticlePubMedGoogle Scholar
- Janne PA, Yang JC, Kim DW, et al. AZD9291 in EGFR inhibitor-resistant non-small-cell lung cancer. N Engl J Med. 2015;372:1689–99.View ArticlePubMedGoogle Scholar
- Oxnard GR, Paweletz CP, Kuang Y, et al. Noninvasive detection of response and resistance in EGFR-mutant lung cancer using quantitative next-generation genotyping of cell-free plasma DNA. Clin Cancer Res. 2014;20:1698–705.View ArticlePubMedPubMed CentralGoogle Scholar
- Maheswaran S, Sequist LV, Nagrath S, et al. Detection of mutations in EGFR in circulating lung-cancer cells. N Engl J Med. 2008;359:366–77.View ArticlePubMedPubMed CentralGoogle Scholar
- Hellmann MD, Friedman CF, Wolchok JD. Combinatorial cancer immunotherapies. Adv Immunol. 2016;130:251–77.View ArticlePubMedGoogle Scholar
- Shukuya T, Carbone DP. Predictive markers for the efficacy of anti-PD-1/PD-L1 antibodies in lung cancer. J Thorac Oncol. 2016;11(7):976–88.View ArticlePubMedGoogle Scholar
- Hellmann M, Ramalingam S, Reck M, et al. An open label randomized phase III trial of nivolumab or nivolumab plus ipilimumab vs platinum doublet chemotherapy (PT-DC) in patients with chemotherapy naïve stage IV or recurrent non-small cell lung cancer (NSCLC) (Checkmate 227). J Immunother Cancer. 2015;3 Suppl 2:154.View ArticleGoogle Scholar
- Oxnard GR, Ramalingam SS, Ahn MJ, et al. Preliminary results of TATTON, a multi-arm phase Ib trial of AZD9291 combined with MEDI4736, AZD6094 or selumetinib in EGFR-mutant lung cancer. J Clin Oncol. 2015;33(suppl):Abstr 2509.Google Scholar
- Bach PB. New math on drug cost-effectiveness. N Engl J Med. 2015;373:1797–9.View ArticlePubMedGoogle Scholar
- Joshi M, Ayoola A, Belani CP. Small-cell lung cancer: an update on targeted therapies. Adv Exp Med Biol. 2013;779:385–404.View ArticlePubMedGoogle Scholar
- Saunders LR, Bankovich AJ, Anderson WC, et al. A DLL3-targeted antibody-drug conjugate eradicates high-grade pulmonary neuroendocrine tumor-initiating cells in vivo. Sci Transl Med. 2015;7:302ra136.View ArticlePubMedPubMed CentralGoogle Scholar
- Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, et al. Integrative clinical genomics of advanced prostate cancer. Cell. 2015;161(5):1215–28.View ArticlePubMedPubMed CentralGoogle Scholar
- Mateo J, Carriera S, Sandhu S, Miranda S, Mossop H, et al. DNA-repair defects and olaparib in metastatic prostate cancer. N Engl J Med. 2015;373(18):1697–708.View ArticlePubMedPubMed CentralGoogle Scholar
- Sandhu SK, Schelman WR, Wilding G, Moreno V, Baird RD, et al. The poly(ADP-ribose) polymerase inhibitor niraparib (MK4827) in BRCA mutation carriers and patients with sporadic cancer: a phase 1 dose-escalation trial. Lancet Oncol. 2013;14(9):882–92.View ArticlePubMedGoogle Scholar
- Gao D, Vela I, Sboner A, Iaquinta PJ, Karthaus WR, et al. Organoid cultures derived from patients with advanced prostate cancer. Cell. 2014;159(1):176–87.View ArticlePubMedPubMed CentralGoogle Scholar
- Drost J, Karthaus WR, Gao D, Driehuis E, Sawyers CL, et al. Organoid culture systems for prostate epithelial and cancer tissue. Nat Protoc. 2016;11(2):347–58.View ArticlePubMedPubMed CentralGoogle Scholar