Mark Sausen

Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies

Circulating tumor DNA can be used in a variety of clinical and investigational settings across tumor types and stages for screening, diagnosis, and identifying mutations responsible for therapeutic response and drug resistance. Circulating Tumor DNA for Early Detection and Managing Resistance Cancer evolves over time, without any warning signs. Similarly, the development of resistance to therapy generally becomes apparent only when there are obvious signs of tumor growth, at which point the patient may have lost valuable time. Although a repeat biopsy may be able to identify drug-resistant mutations before the tumor has a chance to regrow, it is usually not feasible to do many repeat biopsies. Now, two studies are demonstrating the utility of monitoring the patients’ blood for tumor DNA to detect cancer at the earliest stages of growth or resistance. In one study, Bettegowda and coauthors showed that sampling a patient’s blood may be sufficient to yield information about the tumor’s genetic makeup, even for many early-stage cancers, without a need for an invasive procedure to collect tumor tissue, such as surgery or endoscopy. The authors demonstrated the presence of circulating DNA from many types of tumors that had not yet metastasized or released detectable cells into the circulation. They could detect more than 50% of patients across 14 tumor types at the earliest stages, when these cancers may still be curable, suggesting that a blood draw could be a viable screening approach to detecting most cancers. They also showed that in patients with colorectal cancer, the information derived from circulating tumor DNA could be used to determine the optimal course of treatment and identify resistance to epidermal growth factor receptor (EGFR) blockade. Meanwhile, Misale and colleagues illustrated a way to use this information to overcome treatment resistance. These authors also found that mutations associated with EGFR inhibitor resistance could be detected in the blood of patients with colorectal cancer. In addition, they demonstrated that adding MEK inhibitors, another class of anticancer drugs, can successfully overcome resistance when given in conjunction with the EGFR inhibitors. Thus, the studies from Bettegowda and Misale and their colleagues show the effectiveness of analyzing circulating DNA from a variety of tumors and highlight the potential investigational and clinical applications of this novel technology for early detection, monitoring resistance, and devising treatment plans to overcome resistance. The development of noninvasive methods to detect and monitor tumors continues to be a major challenge in oncology. We used digital polymerase chain reaction–based technologies to evaluate the ability of circulating tumor DNA (ctDNA) to detect tumors in 640 patients with various cancer types. We found that ctDNA was detectable in >75% of patients with advanced pancreatic, ovarian, colorectal, bladder, gastroesophageal, breast, melanoma, hepatocellular, and head and neck cancers, but in less than 50% of primary brain, renal, prostate, or thyroid cancers. In patients with localized tumors, ctDNA was detected in 73, 57, 48, and 50% of patients with colorectal cancer, gastroesophageal cancer, pancreatic cancer, and breast adenocarcinoma, respectively. ctDNA was often present in patients without detectable circulating tumor cells, suggesting that these two biomarkers are distinct entities. In a separate panel of 206 patients with metastatic colorectal cancers, we showed that the sensitivity of ctDNA for detection of clinically relevant KRAS gene mutations was 87.2% and its specificity was 99.2%. Finally, we assessed whether ctDNA could provide clues into the mechanisms underlying resistance to epidermal growth factor receptor blockade in 24 patients who objectively responded to therapy but subsequently relapsed. Twenty-three (96%) of these patients developed one or more mutations in genes involved in the mitogen-activated protein kinase pathway. Together, these data suggest that ctDNA is a broadly applicable, sensitive, and specific biomarker that can be used for a variety of clinical and research purposes in patients with multiple different types of cancer.

Detection of Chromosomal Alterations in the Circulation of Cancer Patients with Whole-Genome Sequencing

Massively parallel sequencing directly detects tumor-derived chromosomal alterations in plasma DNA from cancer patients. Getting Harder to Hide It might be challenging, but game players can usually answer the question: “Where’s Waldo?” After all, we’ve met the traveler before and can comb the baroque illustrations for his characteristic striped ensemble and walking stick. But if we didn’t know what Waldo looked like, it would take a powerful detective and at least a clue or two to find him in a crowd. Now, Leary et al. use a well-characterized clue—the universal nature of chromosomal alterations in human cancer—along with powerful DNA sequencing technology to pinpoint tumor-specific chromosomal aberrations in the circulation of patients without knowing, in advance, precisely what the edited DNA looks like. The authors compared circulating cell-free DNA from 10 late-stage colorectal and breast cancer patients and 10 healthy individuals using massively parallel whole-genome sequencing (WGS) and detected chromosomal aberrations—copy number changes and rearrangements—present only in plasma DNA from patients. Two known cancer driver genes were amplified in the patients: ERBB2, which encodes HER2/Neu, the protein target of the anticancer drug trastuzumab, and a cell-cycle regulatory gene, CDK6. For three colorectal cancer cases where both tumor and blood samples were analyzed by WGS, the copy number patterns observed in blood samples resembled those of the resected tumor. The authors quantified the ability of their approach to discriminate between cancer patients and healthy subjects by analyzing simulated mixtures of varying concentrations of tumor and control DNA. Under certain defined conditions, tumor DNA concentrations of ≥0.75% could be detected in the circulation of breast and colorectal cancer patients with a sensitivity >90% and a specificity >99%. Leary et al. outline several current limitations of their method. For example, the patients studied were all in the late stages of cancer progression, and the sensitivity and specificity parameters were dependent on the amount of sequence data obtained. As the cost of WGS falls, this new approach may provide a powerful way to detect cancers in a noninvasive and unbiased manner even without prior knowledge of disease. Clinical management of cancer patients could be improved through the development of noninvasive approaches for the detection of incipient, residual, and recurrent tumors. We describe an approach to directly identify tumor-derived chromosomal alterations through analysis of circulating cell-free DNA from cancer patients. Whole-genome analyses of DNA from the plasma of 10 colorectal and breast cancer patients and 10 healthy individuals with massively parallel sequencing identified, in all patients, structural alterations that were not present in plasma DNA from healthy subjects. Detected alterations comprised chromosomal copy number changes and rearrangements, including amplification of cancer driver genes such as ERBB2 and CDK6. The level of circulating tumor DNA in the cancer patients ranged from 1.4 to 47.9%. The sensitivity and specificity of this approach are dependent on the amount of sequence data obtained and are derived from the fact that most cancers harbor multiple chromosomal alterations, each of which is unlikely to be present in normal cells. Given that chromosomal abnormalities are present in nearly all human cancers, this approach represents a useful method for the noninvasive detection of human tumors that is not dependent on the availability of tumor biopsies.

Amplification of the MET Receptor Drives Resistance to Anti-EGFR Therapies in Colorectal Cancer

EGF receptor (EGFR)-targeted monoclonal antibodies are effective in a subset of metastatic colorectal cancers. Inevitably, all patients develop resistance, which occurs through emergence of KRAS mutations in approximately 50% of the cases. We show that amplification of the MET proto-oncogene is associated with acquired resistance in tumors that do not develop KRAS mutations during anti-EGFR therapy. Amplification of the MET locus was present in circulating tumor DNA before relapse was clinically evident. Functional studies show that MET activation confers resistance to anti-EGFR therapy both in vitro and in vivo. Notably, in patient-derived colorectal cancer xenografts, MET amplification correlated with resistance to EGFR blockade, which could be overcome by MET kinase inhibitors. These results highlight the role of MET in mediating primary and secondary resistance to anti-EGFR therapies in colorectal cancer and encourage the use of MET inhibitors in patients displaying resistance as a result of MET amplification.

Mutations in CIC and FUBP1 Contribute to Human Oligodendroglioma

A gene originally studied for its role in fruit fly embryogenesis is implicated in the growth of a common human brain tumor. Oligodendrogliomas are the second most common malignant brain tumor in adults and exhibit characteristic losses of chromosomes 1p and 19q. To identify the molecular genetic basis for this alteration, we performed exomic sequencing of seven tumors. Among other changes, we found that the CIC gene (homolog of the Drosophila gene capicua) on chromosome 19q was somatically mutated in six cases and that the FUBP1 gene [encoding far-upstream element (FUSE) binding protein] on chromosome 1p was somatically mutated in two tumors. Examination of 27 additional oligodendrogliomas revealed 12 and 3 more tumors with mutations of CIC and FUBP1, respectively, 58% of which were predicted to result in truncations of the encoded proteins. These results suggest a critical role for these genes in the biology and pathology of oligodendrocytes.

Integrated genomic analyses identify ARID1A and ARID1B alterations in the childhood cancer neuroblastoma

Neuroblastomas are tumors of peripheral sympathetic neurons and are the most common solid tumor in children. To determine the genetic basis for neuroblastoma, we performed whole-genome sequencing (6 cases), exome sequencing (16 cases), genome-wide rearrangement analyses (32 cases) and targeted analyses of specific genomic loci (40 cases) using massively parallel sequencing. On average, each tumor had 19 somatic alterations in coding genes (range of 3–70). Among genes not previously known to be involved in neuroblastoma, chromosomal deletions and sequence alterations of the chromatin-remodeling genes ARID1A and ARID1B were identified in 8 of 71 tumors (11%) and were associated with early treatment failure and decreased survival. Using tumor-specific structural alterations, we developed an approach to identify rearranged DNA fragments in sera, providing personalized biomarkers for minimal residual disease detection and monitoring. These results highlight the dysregulation of chromatin remodeling in pediatric tumorigenesis and provide new approaches for the management of patients with neuroblastoma.

Personalized genomic analyses for cancer mutation discovery and interpretation

Analysis of matched tumor and normal DNA from the same patient improves accuracy of identification of actionable mutations, allowing better targeting of potential treatments. Will the real mutation please stand up? When a patient is diagnosed with cancer, a sample of the tumor is often analyzed to look for mutations that might guide the approach to targeted treatment of the disease. Jones et al. analyzed samples from more than 800 patients with 15 different cancer types and showed that this standard approach is not necessarily accurate without also analyzing a matched sample of normal DNA from the same patient. The authors found that, compared to analysis of paired samples, the standard tumor-only sequencing approach frequently identified mutations that were present in the patient’s normal tissues and were therefore not suitable for targeted therapy or, conversely, missed useful new mutations in the tumor. Massively parallel sequencing approaches are beginning to be used clinically to characterize individual patient tumors and to select therapies based on the identified mutations. A major question in these analyses is the extent to which these methods identify clinically actionable alterations and whether the examination of the tumor tissue alone is sufficient or whether matched normal DNA should also be analyzed to accurately identify tumor-specific (somatic) alterations. To address these issues, we comprehensively evaluated 815 tumor-normal paired samples from patients of 15 tumor types. We identified genomic alterations using next-generation sequencing of whole exomes or 111 targeted genes that were validated with sensitivities >95% and >99%, respectively, and specificities >99.99%. These analyses revealed an average of 140 and 4.3 somatic mutations per exome and targeted analysis, respectively. More than 75% of cases had somatic alterations in genes associated with known therapies or current clinical trials. Analyses of matched normal DNA identified germline alterations in cancer-predisposing genes in 3% of patients with apparently sporadic cancers. In contrast, a tumor-only sequencing approach could not definitively identify germline changes in cancer-predisposing genes and led to additional false-positive findings comprising 31% and 65% of alterations identified in targeted and exome analyses, respectively, including in potentially actionable genes. These data suggest that matched tumor-normal sequencing analyses are essential for precise identification and interpretation of somatic and germline alterations and have important implications for the diagnostic and therapeutic management of cancer patients.

The genomic landscape of response to EGFR blockade in colorectal cancer

Colorectal cancer is the third most common cancer worldwide, with 1.2 million patients diagnosed annually. In late-stage colorectal cancer, the most commonly used targeted therapies are the monoclonal antibodies cetuximab and panitumumab, which prevent epidermal growth factor receptor (EGFR) activation. Recent studies have identified alterations in KRAS and other genes as likely mechanisms of primary and secondary resistance to anti-EGFR antibody therapy. Despite these efforts, additional mechanisms of resistance to EGFR blockade are thought to be present in colorectal cancer and little is known about determinants of sensitivity to this therapy. To examine the effect of somatic genetic changes in colorectal cancer on response to anti-EGFR antibody therapy, here we perform complete exome sequence and copy number analyses of 129 patient-derived tumour grafts and targeted genomic analyses of 55 patient tumours, all of which were KRAS wild-type. We analysed the response of tumours to anti-EGFR antibody blockade in tumour graft models and in clinical settings and functionally linked therapeutic responses to mutational data. In addition to previously identified genes, we detected mutations in ERBB2, EGFR, FGFR1, PDGFRA, and MAP2K1 as potential mechanisms of primary resistance to this therapy. Novel alterations in the ectodomain of EGFR were identified in patients with acquired resistance to EGFR blockade. Amplifications and sequence changes in the tyrosine kinase receptor adaptor gene IRS2 were identified in tumours with increased sensitivity to anti-EGFR therapy. Therapeutic resistance to EGFR blockade could be overcome in tumour graft models through combinatorial therapies targeting actionable genes. These analyses provide a systematic approach to evaluating response to targeted therapies in human cancer, highlight new mechanisms of responsiveness to anti-EGFR therapies, and delineate new avenues for intervention in managing colorectal cancer.

Exomic Sequencing of Medullary Thyroid Cancer Reveals Dominant and Mutually Exclusive Oncogenic Mutations in RET and RAS

CONTEXT Medullary thyroid cancer (MTC) is a rare thyroid cancer that can occur sporadically or as part of a hereditary syndrome. OBJECTIVE To explore the genetic origin of MTC, we sequenced the protein coding exons of approximately 21,000 genes in 17 sporadic MTCs. PATIENTS AND DESIGN We sequenced the exomes of 17 sporadic MTCs and validated the frequency of all recurrently mutated genes and other genes of interest in an independent cohort of 40 MTCs comprised of both sporadic and hereditary MTC. RESULTS We discovered 305 high-confidence mutations in the 17 sporadic MTCs in the discovery phase, or approximately 17.9 somatic mutations per tumor. Mutations in RET, HRAS, and KRAS genes were identified as the principal driver mutations in MTC. All of the other additional somatic mutations, including mutations in spliceosome and DNA repair pathways, were not recurrent in additional tumors. Tumors without RET, HRAS, or KRAS mutations appeared to have significantly fewer mutations overall in protein coding exons. CONCLUSIONS Approximately 90% of MTCs had mutually exclusive mutations in RET, HRAS, and KRAS, suggesting that RET and RAS are the predominant driver pathways in MTC. Relatively few mutations overall and no commonly recurrent driver mutations other than RET, HRAS, and KRAS were seen in the MTC exome.

Clinical implications of genomic alterations in the tumour and circulation of pancreatic cancer patients

Pancreatic adenocarcinoma has the worst mortality of any solid cancer. In this study, to evaluate the clinical implications of genomic alterations in this tumour type, we perform whole-exome analyses of 24 tumours, targeted genomic analyses of 77 tumours, and use non-invasive approaches to examine tumour-specific mutations in the circulation of these patients. These analyses reveal somatic mutations in chromatin-regulating genes MLL, MLL2, MLL3 and ARID1A in 20% of patients that are associated with improved survival. We observe alterations in genes with potential therapeutic utility in over a third of cases. Liquid biopsy analyses demonstrate that 43% of patients with localized disease have detectable circulating tumour DNA (ctDNA) at diagnosis. Detection of ctDNA after resection predicts clinical relapse and poor outcome, with recurrence by ctDNA detected 6.5 months earlier than with CT imaging. These observations provide genetic predictors of outcome in pancreatic cancer and have implications for new avenues of therapeutic intervention.

Detection of somatic mutations and HPV in the saliva and plasma of patients with head and neck squamous cell carcinomas

Tumor DNA in saliva and plasma can provide a noninvasive biomarker for head and neck squamous cell carcinoma. A cancer test that’s worth a spit Head and neck squamous cell carcinoma is one of the most common cancers worldwide, and its incidence is increasing. This is a difficult-to-treat cancer for which few targeted agents are available, and there are no biomarkers for monitoring therapeutic progress. Wang et al. discovered that tumor DNA can be detected and analyzed in the blood of most patients with head and neck cancers, as well as in the saliva of those with cancers of the oral cavity. Moreover, they found preliminary evidence suggesting that tumor DNA may be detectable in saliva before clinical evidence of tumor recurrence, which may be useful for patient monitoring if this result is confirmed in larger studies. To explore the potential of tumor-specific DNA as a biomarker for head and neck squamous cell carcinomas (HNSCC), we queried DNA from saliva or plasma of 93 HNSCC patients. We searched for somatic mutations or human papillomavirus genes, collectively referred to as tumor DNA. When both plasma and saliva were tested, tumor DNA was detected in 96% of 47 patients. The fractions of patients with detectable tumor DNA in early- and late-stage disease were 100% (n = 10) and 95% (n = 37), respectively. When segregated by site, tumor DNA was detected in 100% (n = 15), 91% (n = 22), 100% (n = 7), and 100% (n = 3) of patients with tumors of the oral cavity, oropharynx, larynx, and hypopharynx, respectively. In saliva, tumor DNA was found in 100% of patients with oral cavity cancers and in 47 to 70% of patients with cancers of the other sites. In plasma, tumor DNA was found in 80% of patients with oral cavity cancers, and in 86 to 100% of patients with cancers of the other sites. Thus, saliva is preferentially enriched for tumor DNA from the oral cavity, whereas plasma is preferentially enriched for tumor DNA from the other sites. Tumor DNA in saliva was found postsurgically in three patients before clinical diagnosis of recurrence, but in none of the five patients without recurrence. Tumor DNA in the saliva and plasma appears to be a potentially valuable biomarker for detection of HNSCC.