Isaac Kinde

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.

The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers

Colorectal tumours that are wild type for KRAS are often sensitive to EGFR blockade, but almost always develop resistance within several months of initiating therapy. The mechanisms underlying this acquired resistance to anti-EGFR antibodies are largely unknown. This situation is in marked contrast to that of small-molecule targeted agents, such as inhibitors of ABL, EGFR, BRAF and MEK, in which mutations in the genes encoding the protein targets render the tumours resistant to the effects of the drugs. The simplest hypothesis to account for the development of resistance to EGFR blockade is that rare cells with KRAS mutations pre-exist at low levels in tumours with ostensibly wild-type KRAS genes. Although this hypothesis would seem readily testable, there is no evidence in pre-clinical models to support it, nor is there data from patients. To test this hypothesis, we determined whether mutant KRAS DNA could be detected in the circulation of 28 patients receiving monotherapy with panitumumab, a therapeutic anti-EGFR antibody. We found that 9 out of 24 (38%) patients whose tumours were initially KRAS wild type developed detectable mutations in KRAS in their sera, three of which developed multiple different KRAS mutations. The appearance of these mutations was very consistent, generally occurring between 5 and 6 months following treatment. Mathematical modelling indicated that the mutations were present in expanded subclones before the initiation of panitumumab treatment. These results suggest that the emergence of KRAS mutations is a mediator of acquired resistance to EGFR blockade and that these mutations can be detected in a non-invasive manner. They explain why solid tumours develop resistance to targeted therapies in a highly reproducible fashion.

Detection and quantification of rare mutations with massively parallel sequencing

The identification of mutations that are present in a small fraction of DNA templates is essential for progress in several areas of biomedical research. Although massively parallel sequencing instruments are in principle well suited to this task, the error rates in such instruments are generally too high to allow confident identification of rare variants. We here describe an approach that can substantially increase the sensitivity of massively parallel sequencing instruments for this purpose. The keys to this approach, called the Safe-Sequencing System (“Safe-SeqS”), are (i) assignment of a unique identifier (UID) to each template molecule, (ii) amplification of each uniquely tagged template molecule to create UID families, and (iii) redundant sequencing of the amplification products. PCR fragments with the same UID are considered mutant (“supermutants”) only if ≥95% of them contain the identical mutation. We illustrate the utility of this approach for determining the fidelity of a polymerase, the accuracy of oligonucleotides synthesized in vitro, and the prevalence of mutations in the nuclear and mitochondrial genomes of normal cells.

Development of Personalized Tumor Biomarkers Using Massively Parallel Sequencing

Rapid detection of specific aberrant rearrangements in tumors from individuals yields a well-poised technological advance toward personalized oncology. PARE Personalizes Cancer Genetics A diagnosis of cancer shatters the view of the world in an individual’s mind. A world that once moved as comfortably as the pace of one’s own life suddenly moves all too quickly. The individual starts asking questions and searching for possible remedies, and soon learns about the shockingly slow pace of successful cancer research. In the case of solid tumors, conventional surgical excision blanketed with “one size fits all” drug treatments simply fails to be universally effective in the long term. Cancer research has begun to shift to a more focused, personal approach that involves tailoring therapies directly to the complexity inherent in each individual—an area that holds considerable promise. But the differences among individuals are not the only layer of complexity hindering effective treatment. The intrinsic differences that accumulate over the course of tumor progression among similar tumor types hold the key to unlocking a truly personal remedy, a barcode, to cancer. Now, Leary et al. make use of a massively parallel sequencing technique—personalized analysis of rearranged ends (PARE)—to home in on the unique DNA rearrangements present in tumors that differ from the rearrangements present in nontumor DNA from a small subset of individuals. They provide evidence for a highly sensitive, reliable, and cost-effective method, a foundation from which the annotation of large numbers of such tumor signatures will yield a personal cancer code. In an arena that takes small steps, PARE offers a leap forward in the clinical management and treatment of solid tumors, revealing true biomarkers that enable monitoring of individual tumor progression, tailoring of response to therapeutic treatment, and identification of residual disease at a level previously undetectable by current methods. Clinical management of human cancer is dependent on the accurate monitoring of residual and recurrent tumors. The evaluation of patient-specific translocations in leukemias and lymphomas has revolutionized diagnostics for these diseases. We have developed a method, called personalized analysis of rearranged ends (PARE), which can identify translocations in solid tumors. Analysis of four colorectal and two breast cancers with massively parallel sequencing revealed an average of nine rearranged sequences (range, 4 to 15) per tumor. Polymerase chain reaction with primers spanning the breakpoints was able to detect mutant DNA molecules present at levels lower than 0.001% and readily identified mutated circulating DNA in patient plasma samples. This approach provides an exquisitely sensitive and broadly applicable approach for the development of personalized biomarkers to enhance the clinical management of cancer patients.

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.

Association of the autoimmune disease scleroderma with an immunologic response to cancer.

Cancer Immunosurveillance Gone Bad? A subset of patients who develop scleroderma, a debilitating autoimmune disease, have an elevated risk of developing cancer. These patients harbor autoantibodies to RPC1, an RNA polymerase subunit encoded by the POLR3A gene. Joseph et al. (p. 152, published online December 5; see the Perspective by Teng and Smyth) explored whether the RPC1 autoantibodies target a “foreign” antigen derived from a mutated POLR3A gene. Sequence analysis revealed that POLR3A mutations were present in tumors from six of eight patients with RPC1 autoantibodies but in no tumors from eight control patients who lacked RPC1 autoantibodies. Cell culture data suggested that the POLR3A mutations triggered cellular and humoral immune responses in the patients. These results provide support for the “immunosurveillance” hypothesis, which posits the continual eradication of nascent tumor cells via immune responses. The immune system’s response to a mutant protein produced by an incipient cancer may help to explain an autoimmune disease. [Also see Perspective by Teng and Smyth] Autoimmune diseases are thought to be initiated by exposures to foreign antigens that cross-react with endogenous molecules. Scleroderma is an autoimmune connective tissue disease in which patients make antibodies to a limited group of autoantigens, including RPC1, encoded by the POLR3A gene. As patients with scleroderma and antibodies against RPC1 are at increased risk for cancer, we hypothesized that the “foreign” antigens in this autoimmune disease are encoded by somatically mutated genes in the patients’ incipient cancers. Studying cancers from scleroderma patients, we found genetic alterations of the POLR3A locus in six of eight patients with antibodies to RPC1 but not in eight patients without antibodies to RPC1. Analyses of peripheral blood lymphocytes and serum suggested that POLR3A mutations triggered cellular immunity and cross-reactive humoral immune responses. These results offer insight into the pathogenesis of scleroderma and provide support for the idea that acquired immunity helps to control naturally occurring cancers.

Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer

Detection of circulating tumor DNA in patients with resected stage II colon cancer provides evidence of residual disease. Footprints of persistent cancer Stage II colon cancer, which has spread through the wall of the colon but has not metastasized to the lymph nodes, can present a therapeutic dilemma. On one hand, these tumors can usually be completely removed by surgery, and the majority does not recur even without chemotherapy. On the other hand, it is difficult to determine which of these tumors will recur and to identify patients who would benefit from adjuvant chemotherapy after surgery. Tie et al. show that the presence of circulating tumor DNA in a patient’s blood after surgery is a sign of persistent tumor and a greatly increased risk of relapse, suggesting that this group of patients may require chemotherapy to prevent recurrence. Detection of circulating tumor DNA (ctDNA) after resection of stage II colon cancer may identify patients at the highest risk of recurrence and help inform adjuvant treatment decisions. We used massively parallel sequencing–based assays to evaluate the ability of ctDNA to detect minimal residual disease in 1046 plasma samples from a prospective cohort of 230 patients with resected stage II colon cancer. In patients not treated with adjuvant chemotherapy, ctDNA was detected postoperatively in 14 of 178 (7.9%) patients, 11 (79%) of whom had recurred at a median follow-up of 27 months; recurrence occurred in only 16 (9.8 %) of 164 patients with negative ctDNA [hazard ratio (HR), 18; 95% confidence interval (CI), 7.9 to 40; P < 0.001]. In patients treated with chemotherapy, the presence of ctDNA after completion of chemotherapy was also associated with an inferior recurrence-free survival (HR, 11; 95% CI, 1.8 to 68; P = 0.001). ctDNA detection after stage II colon cancer resection provides direct evidence of residual disease and identifies patients at very high risk of recurrence.

Evaluation of DNA from the Papanicolaou Test to Detect Ovarian and Endometrial Cancers

Mutant DNA from ovarian and endometrial tumors can be detected in Pap smear specimens through massively parallel sequencing. New Adventures of Old Pap Smear Patients generally do not enjoy getting a Pap smear, but the procedure has saved hundreds of thousands of lives in the decades since its inception. The now-routine smear, which allows doctors to detect abnormal cells in a woman’s cervix before they turn into an invasive cancer, was updated a decade ago to screen for DNA from human papillomavirus, the pathogen known to cause cervical cancer. Now, Kinde and coauthors have developed a technique that may make the Pap smear even more versatile by expanding it into a test for multiple cancers, including endometrial and the dreaded ovarian cancer, which is essentially untreatable unless it is caught early. The authors first assembled a catalog of common mutations in these cancers, drawing on previously published data for ovarian cancer and new data on 22 endometrial tumors. They tested 46 samples from patients with endometrial or ovarian cancers and confirmed that all 46 harbored at least some of the common genetic changes on their list. Kinde et al. then hypothesized that ovarian and endometrial cancers likely shed cells from their surfaces and that such cells may be detectable among the cervical cells in a Pap smear, if one knew how to identify them. Thus, the authors used massively parallel sequencing to test patients’ Pap specimens for some of the more common mutations found in the cancer cells. In the initial set of samples, 100% of endometrial cancers and 41% of ovarian cancers were detectable by this method. This new approach to Pap testing is not yet ready for clinical use and will not serve as a foolproof method of diagnosing genital tract tumors, particularly ovarian cancer. More research is needed to validate the current results in larger groups of patients and to improve the yield of screening for ovarian tumors, perhaps by modifying the technique doctors use to collect sample cells for the Pap test. Importantly, though, the new test has not misclassified any healthy woman as harboring a cancer, raising the possibility of its eventual use as a screening test for cancer. Even if this approach cannot identify every ovarian tumor, it may be able to detect more of them earlier and more accurately than is possible with existing methods. Once the findings of Kinde et al. are fully validated and the new test gains approval, women will have even more reasons to make sure they get their Pap smears routinely. Papanicolaou (Pap) smears have revolutionized the management of patients with cervical cancers by permitting the detection of early, surgically curable tumors and their precursors. In recent years, the traditional Pap smear has been replaced by a liquid-based method, which allows not only cytologic evaluation but also collection of DNA for detection of human papillomavirus, the causative agent of cervical cancer. We reasoned that this routinely collected DNA could be exploited to detect somatic mutations present in rare tumor cells that accumulate in the cervix once shed from endometrial or ovarian cancers. A panel of genes that are commonly mutated in endometrial and ovarian cancers was assembled with new whole-exome sequencing data from 22 endometrial cancers and previously published data on other tumor types. We used this panel to search for mutations in 24 endometrial and 22 ovarian cancers and identified mutations in all 46 samples. With a sensitive massively parallel sequencing method, we were able to identify the same mutations in the DNA from liquid Pap smear specimens in 100% of endometrial cancers (24 of 24) and in 41% of ovarian cancers (9 of 22). Prompted by these findings, we developed a sequence-based method to query mutations in 12 genes in a single liquid Pap smear specimen without previous knowledge of the tumor’s genotype. When applied to 14 samples selected from the positive cases described above, the expected tumor-specific mutations were identified. These results demonstrate that DNA from most endometrial and a fraction of ovarian cancers can be detected in a standard liquid-based Pap smear specimen obtained during routine pelvic examination. Although improvements need to be made before applying this test in a routine clinical manner, it represents a promising step toward a broadly applicable screening methodology for the early detection of gynecologic malignancies.

Circulating Tumor DNA as an Early Marker of Therapeutic Response in Patients with Metastatic Colorectal Cancer

BACKGROUND Early indicators of treatment response in metastatic colorectal cancer (mCRC) could conceivably be used to optimize treatment. We explored early changes in circulating tumor DNA (ctDNA) levels as a marker of therapeutic efficacy. PATIENTS AND METHODS This prospective study involved 53 mCRC patients receiving standard first-line chemotherapy. Both ctDNA and CEA were assessed in plasma collected before treatment, 3 days after treatment and before cycle 2. Computed tomography (CT) scans were carried out at baseline and 8-10 weeks and were centrally assessed using RECIST v1.1 criteria. Tumors were sequenced using a panel of 15 genes frequently mutated in mCRC to identify candidate mutations for ctDNA analysis. For each patient, one tumor mutation was selected to assess the presence and the level of ctDNA in plasma samples using a digital genomic assay termed Safe-SeqS. RESULTS Candidate mutations for ctDNA analysis were identified in 52 (98.1%) of the tumors. These patient-specific candidate tissue mutations were detectable in the cell-free DNA from the plasma of 48 of these 52 patients (concordance 92.3%). Significant reductions in ctDNA (median 5.7-fold; P < 0.001) levels were observed before cycle 2, which correlated with CT responses at 8-10 weeks (odds ratio = 5.25 with a 10-fold ctDNA reduction; P = 0.016). Major reductions (≥10-fold) versus lesser reductions in ctDNA precycle 2 were associated with a trend for increased progression-free survival (median 14.7 versus 8.1 months; HR = 1.87; P = 0.266). CONCLUSIONS ctDNA is detectable in a high proportion of treatment naïve mCRC patients. Early changes in ctDNA during first-line chemotherapy predict the later radiologic response.

A Combination of Molecular Markers and Clinical Features Improve the Classification of Pancreatic Cysts

BACKGROUND & AIMS The management of pancreatic cysts poses challenges to both patients and their physicians. We investigated whether a combination of molecular markers and clinical information could improve the classification of pancreatic cysts and management of patients. METHODS We performed a multi-center, retrospective study of 130 patients with resected pancreatic cystic neoplasms (12 serous cystadenomas, 10 solid pseudopapillary neoplasms, 12 mucinous cystic neoplasms, and 96 intraductal papillary mucinous neoplasms). Cyst fluid was analyzed to identify subtle mutations in genes known to be mutated in pancreatic cysts (BRAF, CDKN2A, CTNNB1, GNAS, KRAS, NRAS, PIK3CA, RNF43, SMAD4, TP53, and VHL); to identify loss of heterozygozity at CDKN2A, RNF43, SMAD4, TP53, and VHL tumor suppressor loci; and to identify aneuploidy. The analyses were performed using specialized technologies for implementing and interpreting massively parallel sequencing data acquisition. An algorithm was used to select markers that could classify cyst type and grade. The accuracy of the molecular markers was compared with that of clinical markers and a combination of molecular and clinical markers. RESULTS We identified molecular markers and clinical features that classified cyst type with 90%-100% sensitivity and 92%-98% specificity. The molecular marker panel correctly identified 67 of the 74 patients who did not require surgery and could, therefore, reduce the number of unnecessary operations by 91%. CONCLUSIONS We identified a panel of molecular markers and clinical features that show promise for the accurate classification of cystic neoplasms of the pancreas and identification of cysts that require surgery.