Literature DB >> 27852040

Clinical validation of prospective liquid biopsy monitoring in patients with wild-type RAS metastatic colorectal cancer treated with FOLFIRI-cetuximab.

Rodrigo A Toledo1,2, Antonio Cubillo1,3, Estela Vega1,3, Elena Garralda1,3, Rafael Alvarez1,3, Lisardo U de la Varga1,3, Jesús R Pascual1,3, Gema Sánchez1,2, Francesca Sarno1,2, Susana H Prieto4, Sofía Perea1,2, Pedro P Lopéz-Casas2, Fernando López-Ríos4, Manuel Hidalgo2,5.   

Abstract

Cancer genomics and translational medicine rely on the molecular profiling of patient's tumor obtained during surgery or biopsy. Alternatively, blood is a less invasive source of tumor DNA shed, amongst other ways, as cell-free DNA (cfDNA). Highly-sensitive assays capable to detect cancer genetic events from patient's blood plasma became popularly known as liquid biopsy (LqB). Importantly, retrospective studies including small number of selected patients with metastatic colorectal cancer (mCRC) patients treated with anti-EGFR therapy have shown LqB capable to detect the acquired clonal mutations in RAS genes leading to therapy resistance. However, the usefulness of LqB in the real-life clinical monitoring of these patients still lack additional validation on controlled studies. In this context, we designed a prospective LqB clinical trial to monitor newly diagnosed KRAS wild-type (wt) mCRC patients who received a standard FOLFIRI-cetuximab regimen. We used BEAMing technique for evaluate cfDNA mutations in KRAS, NRAS, BRAF, and PIK3CA in twenty-five patients during a 2-y period. A total of 2,178 cfDNA mutation analyses were performed and we observed that: a) continued wt circulating status was correlated with a prolonged response; b) smoldering increases in mutant cfDNA were correlated with acquired resistance; while c) mutation upsurge/explosion anticipated a remarkable clinical deterioration. The current study provides evidences, obtained for the first time in an unbiased and prospective manner, that reinforces the utility of LqB for monitoring mCRC patients.

Entities:  

Keywords:  anti-EGFR; cetuximab; cfDNA; colorectal cancer; liquid biopsy

Mesh:

Substances:

Year:  2017        PMID: 27852040      PMCID: PMC5471055          DOI: 10.18632/oncotarget.13311

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Colorectal cancer (CRC) is the second most common neoplasm in humans, accounting for more than 1.3 million new cases and approximately 700,000 deaths per year [1]. Treatment with anti-EGFR antibodies prolongs overall survival in RAS wt mCRC patients. However, these patients ultimately progress, at least partially because of the emergence of mutations that occur in genes in the RAS pathway during treatment [2-5]. Liquid biopsy (LqB) is a blood exam that is capable of detecting circulating tumor cells (CTCs) and/or small fragments of cell-free tumor DNA (cfDNA), which are shed into the bloodstream from both primary and secondary neoplastic lesions. This new technology is considered a game-changing procedure because it represents a noninvasive alternative for identifying solid tumor heterogeneity. It also provides an assessment of cancer resistant sub-clones, and its results potentially reflect the molecular dynamics associated with tumor responsiveness and drug resistance [4-11]. Improvements in the technology have been made, and decreases are being observed in the turn-around time and costs of the procedure. It is therefore reasonable to anticipate that in the near future, hospitals and cancer centers will routinely offer LqB to cancer patients using in-house or commercially available kits and gene panels. At this time, however, it is essential to expand the information available regarding the usefulness and limitations of the LqB technique, especially the clinical interpretation of its results [6-9]. The aim of the present study was to gain additional knowledge regarding the clinical application of LqB by prospectively quantitating the temporal evolution of mutations in genes in the RAS pathway in cfDNA obtained from KRAS wt mCRC patients who were treated with first line FOLFIRI-cetuximab. We sought to relate the circulating genetic status of the patients with tumor genotypes, drug resistance, and predictions of clinical outcomes.

RESULTS

The study and data collection were conducted between April 2013 and December 2015.

Patient outcomes

Figure 1 displays the outcomes in the twenty-five wt KRAS mCRC patients who were included in the study. All cases were evaluated for tumor genotyping, and twenty-three cases were evaluated for drug responsiveness and clinical outcome. Patients 4 and 6 were excluded because insufficient plasma samples were collected after treatment.
Figure 1

Flowchart of patient disposition

A total of twenty-five patients were included in the study, and twenty-three patients were evaluable. Response to FOLFIRI-cetuximab and clinical outcome are shown to each patient, as well as tumor and cfDNA mutation status. Patient 8 had a driver mutation in an unknown resistance-associated gene and later had a KRAS cfDNA mutation explosion, therefore was classified accordingly.

Flowchart of patient disposition

A total of twenty-five patients were included in the study, and twenty-three patients were evaluable. Response to FOLFIRI-cetuximab and clinical outcome are shown to each patient, as well as tumor and cfDNA mutation status. Patient 8 had a driver mutation in an unknown resistance-associated gene and later had a KRAS cfDNA mutation explosion, therefore was classified accordingly. Seventeen cases (17/23, 74%) showed a clinical benefit, including three patients with stable disease, eleven with a partial response, and three with a complete response. Of the patients who did not experience a clinical benefit, three carried BRAF mutations, and one carried BRAF/PIK3CA mutations in their tumor tissues prior to treatment. Importantly, these mutations were also detected in cfDNA baseline and on treatment plasma samples of these patients. When only the evaluated patients who had no KRAS/NRAS/BRAF/PIK3CA mutations prior to treatment were included, 89.5% of the patients (17/19) benefited from the treatment. The remaining two patients presented continuous disease progression but had no tumor or circulating mutations in the analyzed genes prior to treatment. In these patients, disease progression was likely the result of a mutation in a rarer or unknown resistance-associated gene. Detailed information regarding the clinical features, drug responsiveness, cfDNA prospective monitoring and interpretation of liquid biopsy results in the twenty-three evaluated patients is shown in Table 1.
Table 1

Clinical and genetic information of the twenty-three evaluable mCRC patients included in the study. A summary of the liquid biopsy results of each patient and its interpretation are provided

PatientPrimary tumorSecondary lesionsLiquid biopsy and clinical resultsBest responseStatus at end of studyInterpretation
1RectalGanglionarContinued wt cfDNA in all liquid biopsy analysisSDAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
2RectalLiverInitially wt but later cfDNA became mutated coinciding with liver metastasis grow. Patient was operated and went back to wt. Months later cfDNA became mutated again before tumor relapse could be observed by imaging exam. Another surgery was performedPRAlive without diseaseModerated levels of cfDNA mutation associated with acquired resistance. After-surgery increased levels associated with tumor relapse.
3ColonGanglionar and lungInitially wt but later became mutated when changed to cetuximab monotherapy and lung metastasis started grow. Re-use of FOLFIRI-cetuximab stop tumor grow and returned cfDNA results to wtPRAlive with diseaseModerated increase of cfDNA mutation associated with acquired resistance. Rechallenge with FOLFIRI-cetuximab zeroed cfDNA mutation levels and disease stabilized.
5RectalPelvisContinued wt cfDNA in all liquid biopsy analysisSDAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
7RectalLiverContinued wt cfDNA until pre-surgery liver embolization. cfDNA KRAS mutation explosion associated with rapid metastasis spread and deadPRDeceasedExplosion of cfDNA KRAS mutation levels associated with rapid clinical deterioration.
8RectalLiverContinuous progression of the disease despite continued wt cfDNA in liquid biopsy analysis. cfDNA KRAS mutation explosion after cetuximab-afatinib treatmentPDDeceasedExplosion of cfDNA KRAS mutation levels associated with rapid clinical deterioration.
9ColonLung and peritonealSomatic BRAF mutation identified in high levels in cfDNA and substantially increased after FOLFIRI-cetuximab. Fast disease progression.PDDeceasedExplosion of cfDNA BRAF mutation levels associated with rapid clinical deterioration.
10RectalLungContinued wt cfDNA in all liquid biopsy analysisCRAlive without diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
11RectalGanglionarContinued wt cfDNA in all liquid biopsy analysisCRAlive without diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
12ColonLiver and ganglionarSomatic BRAF mutation identified in high levels in cfDNA and substantially increased after FOLFIRI-cetuximab. Fast disease progression.PDDeceasedExplosion of cfDNA BRAF mutation levels associated with rapid clinical deterioration.
13ColonLiverContinued wt cfDNA in all liquid biopsy analysisPRAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
14ColonLiverContinued wt cfDNA in all liquid biopsy analysisPRAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
15ColonGanglionar and lungContinued wt cfDNA in all liquid biopsy analysisPRAlive without diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
16RectalLiverContinued wt cfDNA in all liquid biopsy analysisPRAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
17ColonLungSomatic BRAF mutation identified in high levels in cfDNA and substantially increased after FOLFIRI-cetuximab. Fast disease progression.PDDeceasedExplosion of cfDNA BRAF mutation levels associated with rapid clinical deterioration.
18ColonGanglionar and liverSomatic BRAF and PIK3CA mutations identified in high levels in cfDNA and substantially increased after FOLFIRI-cetuximab. Fast disease progression.PDDeceasedExplosion of cfDNA BRAF mutation levels associated with rapid clinical deterioration.
19ColonSkinContinuous progression of the disease despite continued wt cfDNA in all liquid biopsy analysisPDAlive without diseaseMutation in a rarer anti-EGFR resistant-associated gene causing resistance and disease progression.
20ColonPeritonealContinued wt cfDNA in all liquid biopsy analysisPRLost follow-upContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
21ColonGanglionarContinued wt cfDNA in all liquid biopsy analysisPRAlive without diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
22ColonGanglionarContinued wt cfDNA in all liquid biopsy analysisPRAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
23RectalOvary /peritonealContinued wt cfDNA in all liquid biopsy analysisSDAlive without diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
24ColonGanglionarContinued wt cfDNA in all liquid biopsy analysisCRAlive with diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab
25ColonLiverContinued wt cfDNA in all liquid biopsy analysisPRAlive without diseaseContinued wt cfDNA status associated with prolonged response to FOLFIRI-cetuximab

Sensitivity and specificity of BEAMing technique

We observed a perfect match (100% specificity and sensitivity of the BEAMing technique compared to Ion Torrent and Cobas FDA-approved tumor mutation assessment kits) in the results of our analysis of KRAS, NRAS, PIK3CA and BRAF mutations in tumor and prior treatment plasma samples. In accordance to tumor genotyping, the BRAF V600E mutation was found in the basal cfDNA of patient 9 (0.07% of plasma DNA fragments), patient 12 (10.47%), patient 17 (0.40%) and patient 18 (3.64%), and the PIK3CA H1047R mutation was found in the cfDNA of patient 18 (2.62%) (Figure 2A). The remaining 545 BEAMing mutation analyses that were performed using plasma samples prior to treatment were wt (Table S1).
Figure 2

cfDNA mutation analyses of the twenty-five mCRC patients included in the study is shown divided in prior (upper figure) and after FOLFIRI-cetuximab treatment (below figure). Patients are separated accordingly to somatic mutation status (wt tumors shown in left panels, and BRAF/PIK3CA-mutated tumors in right panels) prior treatment. Stablished cfDNA mutation cutoff is 0,02%. Black dots are cfDNA mutation levels < 0,02%, blue dots correspond to prior treatment tumor mutations observed in the cfDNA at > 0,02% levels. Red dots are cfDNA mutation levels > 0,02% newly acquired during the FOLFIRI-cetuximab therapy.

cfDNA mutation analyses of the twenty-five mCRC patients included in the study is shown divided in prior (upper figure) and after FOLFIRI-cetuximab treatment (below figure). Patients are separated accordingly to somatic mutation status (wt tumors shown in left panels, and BRAF/PIK3CA-mutated tumors in right panels) prior treatment. Stablished cfDNA mutation cutoff is 0,02%. Black dots are cfDNA mutation levels < 0,02%, blue dots correspond to prior treatment tumor mutations observed in the cfDNA at > 0,02% levels. Red dots are cfDNA mutation levels > 0,02% newly acquired during the FOLFIRI-cetuximab therapy. The mean cfDNA value for the corresponding BRAF/PIK3CA alleles that were mutated prior to treatment was 3.44% ± 1.88 (N = 5), indicating a 172-fold higher rate than the 0.02% mutation cutoff value. When all twenty-two mutations were analyzed in the same four patients who a mutation prior to treatment, the mean values in the mutant cfDNA continued to be 10-fold higher than the mutation cutoff (0.20% ± 0.13; N = 88). However, the rate of cfDNA mutations in the patients without any prior KRAS/NRAS/BRAF/PIK3CA tumor mutations was 10-fold lower than the cutoff (0.002% ± 0.00014; N = 374). Prior to treatment, the results of the cfDNA mutation analyses were statistically different between patients with KRAS/NRAS/BRAF/PIK3CA wt tumors and patients with tumors carrying BRAF/PIK3CA mutations (p < 0.0001 when only BRAF/PIK3CA mutated alleles were included in the analysis, and p = 0.0019 when all twenty-two alleles were included in the analysis; Figure 2A).

cfDNA mutation levels and patient clinical outcomes

We next investigated how changes in cfDNA mutation levels that occurred during FOLFIRI-cetuximab treatment (Figure 2B) were correlated with patients’ clinical outcomes. The individualized values of the plasma DNA mutations identified during the 2,178 BEAMing mutation analyses performed for this study are shown in Figure 3. In addition to the four patients with BRAF/PIK3CA mutations prior to treatment, the KRAS and PIK3CA cfDNAs became mutated in three and one additional patients, respectively. cfDNA status was correlated with clinical outcomes in three groups of patients: prolonged responders, patients with acquired resistance, and patients with progressive disease.
Figure 3

Results of cfDNA from the twenty-three evaluable mCRC patients of the study are shown

Stablished cfDNA mutation cutoff is 0,02%. Black dots are cfDNA mutation levels < 0,02%, blue dots correspond to prior to treatment tumor mutations observed in the cfDNA at > 0,02% levels. Red dots are cfDNA mutation levels > 0,02% newly acquired during the FOLFIRI-cetuximab therapy. Patients 9, 12, 17 and 18 carried somatic BRAF mutation prior treatment.

Results of cfDNA from the twenty-three evaluable mCRC patients of the study are shown

Stablished cfDNA mutation cutoff is 0,02%. Black dots are cfDNA mutation levels < 0,02%, blue dots correspond to prior to treatment tumor mutations observed in the cfDNA at > 0,02% levels. Red dots are cfDNA mutation levels > 0,02% newly acquired during the FOLFIRI-cetuximab therapy. Patients 9, 12, 17 and 18 carried somatic BRAF mutation prior treatment.

Prolonged response to frontline anti-EGFR therapy and maintenance of wt cfDNA status

The median rate at which we identified DNA plasma “mutant” fragments in the seventeen patients who were good responders during treatment was 0.001%. Small oscillations were observed in these levels (standard deviation ± 0.002%). However, these results do not implicate changes in clinical or treatment responses. For example, plasma samples were obtained from Patient 1, at twelve different time points (resulting in a total of 264 mutation analyses), and the results showed that there were oscillations, but no cfDNA mutation value was higher than the 0.02% cutoff (Figure S1). Of note, there were no statistically significant differences in the cfDNA profiles between the good responders who underwent surgery and those who continued with anti-EGFR therapy throughout the study period (p = 0.21).

Acquired resistance to anti-EGFR treatment

Changes in plasma DNA mutant fragments that were above the 0.02% cutoff reflected a clinical alteration that likely resulted from a switch in molecular dynamics. For example, Patient 2 responded to FOLFIRI-cetuximab, became suitable for radio surgery, maintained a disease-free state for 10 months and then relapses. A PIK3CA M1043I cfDNA level of 0.038% (2-fold the upper mutant cutoff limit) was observed in the plasma sample that was collected three months before the positive identification of disease relapse in an imaging exam. The patient underwent surgery, and at her last clinical follow-up, which occurred 31 months after she was initially included in the study, indicated that there were no signs of a new disease relapse (Figure 4, first panel)).
Figure 4

Treatment response and cfDNA status of four patients that acquired KRAS/PIK3CA during FOLFIRI-cetuximab treatment mutations are shown

Patients 2 presented gradual increase of cfDNA PIK3CA mutation that anteceded disease relapse. Patient 3 had an intermediated increase in cfDNA KRAS mutation coinciding with tumor grow. Patients 7 and 8 suffered very rapid cfDNA mutation increase (mutation explosion) followed by fast metastasis spread and clinical deterioration that culminated in death. Clinical and genetic detailed information of each patient are described in the results section..

Treatment response and cfDNA status of four patients that acquired KRAS/PIK3CA during FOLFIRI-cetuximab treatment mutations are shown

Patients 2 presented gradual increase of cfDNA PIK3CA mutation that anteceded disease relapse. Patient 3 had an intermediated increase in cfDNA KRAS mutation coinciding with tumor grow. Patients 7 and 8 suffered very rapid cfDNA mutation increase (mutation explosion) followed by fast metastasis spread and clinical deterioration that culminated in death. Clinical and genetic detailed information of each patient are described in the results section.. Patient 3 achieved a 50% reduction in the size of two lung metastases during the patient's initial ten months on FOLFIRI-cetuximab treatment. Because of its toxicity, the chemotherapy was then withdrawn. In the following two months, the patient was treated with anti-EGFR monotherapy, and an increase was observed in KRAS G12D cfDNA alleles from 0.001% to 0.037% (also 2-fold the mutant cutoff limit, as was observed in Patient 2). The reintroduction of the FOLFIRI-cetuximab treatment resulted in a decrease in KRAS G12D cfDNA levels to 0.002%-0.004% in the following months, and the disease was again considered to be controlled (Figure 4, second panel). The patient continued to maintain a controlled disease states at 30 months after she entered the study.

An abrupt increase in KRAS cfDNA levels precedes clinical deterioration

Patient 7 achieved a partial response during cycle 4 of FOLFIRI-cetuximab treatment, and surgical intervention was then recommended. Pre-operative embolization of the left portal vein was performed followed by a right hepatectomy. CT scans performed one month after surgery revealed an absence of the disease, and treatment was considered successful. Two months later, the patient surprisingly presented with severe clinical deterioration, and follow-up scans revealed multiple pleuropulmonary, bone, and hepatic metastases as well as mediastinal lymph nodes that led to fatal respiratory failure. Similar cases of tumor flare-up after pre-hepatectomy embolization to treat mCRC have been reported [12, 13]. Importantly, patient 7's cfDNA KRAS Q61H levels abruptly increased from 0%-0.002% in plasma samples that were collected at baseline and after 6 months of treatment with FOLFIRI-cetuximab to 0.909% in plasma samples collected at two months after the hepatic embolization and a week before the hepatectomy (Figure 4, third panel). A massive upsurge in KRAS G12C circulating mutations was also observed in Patient 8, and this upsurge was similarly correlated with rapid metastatic growth and clinical deterioration. After completing a standard treatment regimen, this patient was included in a clinical trial for a combination of cetuximab and afatinib. Subsequent plasma analyses revealed a rapid increase in the proportion of KRAS G12C cfDNA alleles from 0% to 4.42% and a rapid intensification of metastatic growth after the EGFR pathway was dually and strongly blocked. The disease progress culminated in the patient's death soon afterwards (Figure 4, fourth panel). After observing that rapid upsurges in circulating mutant alleles were associated with poor clinical outcomes in wt mCRC patients, we sought to investigate whether the same pattern would be observed mCRC patients with mutations prior to treatment. These patients are known to be poorer responders to anti-EGFR therapy. For these analyses, we evaluated the basal and on-treatment cfDNA status of the four patients in our cohort who carried a prior to treatment tumor mutation in BRAF or BRAF/PIK3CA. As expected, these patients presented a quick clinical progression. After a brief decrease in plasma DNA mutation levels after treatment start, a remarkable upsurge in cfDNA mutation levels was observed in these patients during treatment (an average increase of 376%). For example, prior to treatment, patient 18 had cfDNA BRAF V600E and PIK3CA H1047R levels of 3.64% and 2.62%, respectively. These levels decreased to 0.11% and 0.06%, at three months after the onset of treatment but then increased to 16.07% and 10.47%, at six months after the onset of treatment, and this increase coincided with clinical deterioration. In addition, Patient 9 experienced an increase in BRAF V600E cfDNA levels of 488% within one month of the initiation of treatment. A Kaplan-Meir analysis showed that the survival curves in mCRC patients were significantly different when the patients were stratified according to genetic status. Patients carrying BRAF mutations prior to treatment (these mutations were also identified in samples collected at the basal timepoint and during treatment) and patients who experienced a cfDNA mutation explosion events progressed significantly faster than either patients with continued wt cfDNA status or patients who showed a gradual increase in cfDNA mutation levels that was reduced (zeroed) after retreatment with FOLFIRI-cetuximab or surgery (Log-rank test p < 0.0001, Figure 5).
Figure 5

Kaplan-Meir survival curve of patients separated by somatic and cfDNA mutation status

All six patients with BRAF somatic mutation or cfDNA mutation explosions progressed fast and died. None of the seventeen patients with continued wt cfDNA status (N = 15) or with intermediate/gradual increase in cfDNA mutations (N = 2) died during the study.

Kaplan-Meir survival curve of patients separated by somatic and cfDNA mutation status

All six patients with BRAF somatic mutation or cfDNA mutation explosions progressed fast and died. None of the seventeen patients with continued wt cfDNA status (N = 15) or with intermediate/gradual increase in cfDNA mutations (N = 2) died during the study.

DISCUSSION

Liquid biopsy monitoring of cancer patients is a technically available and affordable procedure. However, our current knowledge regarding the interpretation of analyses of plasma mutations must be expanded before it can be routinely implemented into daily clinical use. The present study summarizes the results of a prospective study of liquid biopsies performed on KRAS wt mCRC patients who were treated with FOLFIRI-cetuximab as a frontline treatment. Our results support concordance between the results of mutation analyses performed using cfDNA and those that use tumor tissue biopsies (the current standard approach used at most institutions). In accordance with previous large studies that have used BEAMing to genotype CRC patients [14], the results of the present study showed that the BEAMing technique provided very high sensibility and sensitivity when used for tumor genotyping (Table S1). The plasma samples obtained from included patients who carried a mutation in BRAF/PIK3CA prior to treatment contained 10- to 172-fold higher cfDNA mutation values than the 0.02% established mutation cutoff. On contrary, the levels of cfDNA mutations in patients without a prior KRAS/NRAS/BRAF/PIK3CA tumor mutation were 10-fold lower than the mutation cutoff (p = 0.002). These results confirm that liquid biopsy is a valuable non-invasive method for tumor mutation genotyping. Originally, we sought to use cfDNA mutation levels as a real-time tool for prospectively monitoring the emergence of drug resistance in our cohort. Our results showed that the patients who initially responded to anti-EGFR therapy but later acquired resistance presented intermediate and gradually increasing levels of circulating mutant alleles. For example, the proportion of circulating mutant alleles in Patient 3 rose to 2X the mutant cutoff, and this increase coincided with the progression of the patient's lung metastatic lesions. Interestingly, maintaining anti-EGFR therapy while re-introducing chemotherapy stopped tumor growth and stabilized the disease. One possible interpretation for the response observed in this case is that the molecular dynamics of the tumor began to change, and this caused a moderate increase in the level of circulating mutant alleles. However, the tumor had not yet become irreversibly resistant. This finding is corroborated by a recent study by Siravegna et al [15] that suggested that continuing or re-challenging a patient with anti-EGFR therapy can be beneficial in some cases. It is not known, however, whether treatment with chemotherapy alone would achieve the same outcome. The role of maintaining the suppression of EGFR in the context of rising levels of cfDNA mutant alleles should be addressed in future clinical trials. Another important point this study aimed to address was related to the possibility of using liquid biopsy results to predict long-term responses and good clinical outcomes. This assumption could not be examined in previous liquid biopsy studies because they included 2nd to 4th line mCRC patients who after started receiving anti-EGFR therapy rapidly became resistant (usually between 4-6 months after the onset of treatment)4. The present study included newly diagnosed, untreated, KRAS wt, advanced CRC patients who responded to FOLFORI-cetuximab for much longer periods and who therefore allowed us to gather, for the first time, valuable data related to the use of liquid biopsy in mCRC patients who displayed prolonged responses to first-line anti-EGFR therapy. Interestingly, the results showed that patients with long-term responses maintained a wt circulating status throughout the period during which they underwent anti-EGFR therapy. While these findings await validation in larger cohorts, our results strongly indicate that a wt cfDNA status is a potential biomarker of a prolonged good response in mCRC patients during treatment with anti-EGFR therapies. In addition to the finding that wt cfDNA levels are potential biomarker for a continued response to FOLFIRI-cetuximab, it has also been observed that the opposite situation is also true: highly and rapidly increased levels of cfDNA mutations are a potential biomarker for a poor prognosis because these increases were followed by imminent clinical deterioration and the spread of metastases. For example, Patients 7 and 8 showed upsurges in circulating KRAS mutations from 0.001% to 0.909% and from 0% to 4%, respectively, over a short period of time, and these increases coincided with the clinical deterioration of the patient in both cases. Remarkably, while we observed an increase in mutations that was 2-fold the cutoff level in the plasma of the patients that developed gradually and reversible resistance, patients 7 and 8 displayed a very rapid 45- to 205-fold increase over the mutation cutoff level in their cfDNA levels. These upsurges were very intense and were likely associated with a change in tumor biology, and we therefore called them cfDNA “mutation explosions”. Importantly, the association of mutation explosions and clinical deterioration was also observed in the four mCRC patients who harbored BRAF/PIK3CA mutations prior to treatment. In these patients, the mutation upsurge averaged 376% after treatment using FOLFIRI-cetuximab and coincided with rapid disease progression.. To the best of our knowledge, the finding that this circulating mutation explosion “phenomenon” is a potential predictive biomarker of bad prognosis, has not been previously described. One possible explanation for the mutation explosion observed in Patient 7 is that a prior surgery-related embolization created a hypoxic environment that activated hypoxia-inducible transcription factors (HIFs), which themselves triggered metastatic cascades and molecular changes in the tumor that were much deeper in the tumor than those that occur in tumors with smoldering acquired resistance [16]. In light of this new finding, we strongly recommend that the observation of cfDNA mutation upsurges in a prospective follow up of a mCRC patient should raise a red flag. Selecting a liquid biopsy technology that has both high sensibility and sensitivity and a short turn-around time for results would enable a clinicians to promptly receive genetic results that would be potentially useful in prospective follow ups with the patient. Our results further indicate that it is also important to take costs into consideration because the number of liquid biopsy analyses that are required can be substantial during the follow-up period in patients receiving frontline anti-EGFR treatment. Another technical consideration is that assessing mutations in KRAS/NRAS/BRAF/PIK3CA was informative in all but two patients who progressed despite having a wt circulating status (2/22, 9%). The inclusion of genes that are more rarely involved in anti-EGFR resistance, such as MET, ERBB2, FLT3, EGFR and MAP2K1 [19] in the panel of liquid biopsy genes could potentially identify mutations in these two “wt” patients. However, the cost-efficiency of including these markers should be further evaluated. In summary, the results of the present study confirm that BEAMing is a high-efficiency method for tumor genotyping and for evaluating resistance to anti-EGFR treatment. Moreover, in this proof-of-concept prospective trial of liquid biopsy monitoring, we demonstrated for the first time that a continued wt circulating mutation status is a valuable biomarker of a prolonged tumor response to anti-EGFR therapy, while mutation explosion events predicted an eminent clinical deterioration in mCRC patients. Our findings should encourage the design of larger studies that focus on prospectively using cfDNA mutation analyses as a tool for monitoring drug responses and predicting clinical outcomes in newly diagnosed mCRC patients.

PATIENTS AND METHODS

Study design and patient eligibility

Adult patients who were newly diagnosed with untreated KRAS wt advanced CRC and who were candidates for first line chemotherapy were eligible. Patients received first line treatment with cetuximab at 400 mg/m2 on day 1 followed by 250 mg/m2 weekly thereafter and FOLFIRI (day 1: irinotecan, 180 mg/m2; folinic acid, 400 mg/m2; and fluorouracil, 400 mg/m2 via intravenous bolus; then 2,400 mg/m2 over 46 h via continuous infusion) every two weeks. Tumor responses were assessed every four cycles (2 months) using CT or MRI and classified according to RECIST criteria. Dose reductions and toxicity management were performed according to standard practices. This study was approved by the institutional review board, conducted in accordance with the Declaration of Helsinki and the International Conference on Harmonization of Good Clinical Practice guidelines and registered inClinicalTrials.gov (NCT01943786). All patients gave prior written informed consent.

Tumor sample mutation analysis

Samples from the primary tumor or metastatic lesions were collected by biopsy, and the following twenty-two hotspot mutations were analyzed using Ion Torrent™ Next-Generation Sequencing (Ion AmpliSeq™ Library Kit 2.0, Life Technologies, USA) or FDA-approved Cobas mutation kits (Roche Molecular Diagnosis, Swiss): KRAS (G12S/R/C/V/A/D, G13D, Q61H, and A146T), NRAS (Q61K/R/L/H), BRAF (V600E), and PIK3CA (E542K, E545K/G, Q546K, M1043I, and H1047Y/R/L).

Liquid biopsy

Liquid biopsy was performed using the beads, emulsion, amplification and magnetics (BEAMing) technique as previously described [17, 18]. Plasma samples were collected immediately before treatment started and the periodically collected during each tumor evaluation. Frozen plasma samples were sent in dry-ice to Sysmex-Inostics in Germany, where the same KRAS/NRAS/PIK3CA/BRAF hot-spot mutations that were assessed in the tumor samples were genotyped in cfDNA using BEAMing. A detailed protocol for these procedures is included in the supplementary methods. In accordance with the company´s experience, the sensitivity cutoff for mutation detection was set at a lower limit of 0.02% to avoid false positive results. Values below this level were considered wt results. As an internal quality control, a total of 509 mutation analyses were performed using samples that were previously genotyped by Sysmex, and a 100% match was obtained for all twenty-two mutations.

Statistical analyses

T-tests were used to assess differences in cfDNA mutation levels between mCRC patients with KRAS/NRAS/PIK3CA/BRAF wt tumors prior to treatment and patients who had tumors carrying BRAF or BRAF/PIK3CA mutations before therapy began. A survival analysis was performed using Kaplan-Meier tests. The log-rank test was used to verify whether differences between survival curves were statistically different. GraphPad Prism software was used for all statistical analyses. A p-value lower than 0.05 was considered statistically significant.
  19 in total

1.  BEAMing up for detection and quantification of rare sequence variants.

Authors:  Meng Li; Frank Diehl; Devin Dressman; Bert Vogelstein; Kenneth W Kinzler
Journal:  Nat Methods       Date:  2006-02       Impact factor: 28.547

2.  Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients.

Authors:  Giulia Siravegna; Benedetta Mussolin; Michela Buscarino; Giorgio Corti; Andrea Cassingena; Giovanni Crisafulli; Agostino Ponzetti; Chiara Cremolini; Alessio Amatu; Calogero Lauricella; Simona Lamba; Sebastijan Hobor; Antonio Avallone; Emanuele Valtorta; Giuseppe Rospo; Enzo Medico; Valentina Motta; Carlotta Antoniotti; Fabiana Tatangelo; Beatriz Bellosillo; Silvio Veronese; Alfredo Budillon; Clara Montagut; Patrizia Racca; Silvia Marsoni; Alfredo Falcone; Ryan B Corcoran; Federica Di Nicolantonio; Fotios Loupakis; Salvatore Siena; Andrea Sartore-Bianchi; Alberto Bardelli
Journal:  Nat Med       Date:  2015-07       Impact factor: 53.440

Review 3.  Hypoxia--a key regulatory factor in tumour growth.

Authors:  Adrian L Harris
Journal:  Nat Rev Cancer       Date:  2002-01       Impact factor: 60.716

4.  Analysis of circulating DNA and protein biomarkers to predict the clinical activity of regorafenib and assess prognosis in patients with metastatic colorectal cancer: a retrospective, exploratory analysis of the CORRECT trial.

Authors:  Josep Tabernero; Heinz-Josef Lenz; Salvatore Siena; Alberto Sobrero; Alfredo Falcone; Marc Ychou; Yves Humblet; Olivier Bouché; Laurent Mineur; Carlo Barone; Antoine Adenis; Takayuki Yoshino; Richard M Goldberg; Daniel J Sargent; Andrea Wagner; Dirk Laurent; Michael Teufel; Michael Jeffers; Axel Grothey; Eric Van Cutsem
Journal:  Lancet Oncol       Date:  2015-07-13       Impact factor: 41.316

Review 5.  Overcoming Resistance to Anti-EGFR Therapy in Colorectal Cancer.

Authors:  Rodrigo Dienstmann; Ramon Salazar; Josep Tabernero
Journal:  Am Soc Clin Oncol Educ Book       Date:  2015

6.  Tumor progression after preoperative portal vein embolization.

Authors:  Lisette T Hoekstra; Krijn P van Lienden; Ageeth Doets; Olivier R C Busch; Dirk J Gouma; Thomas M van Gulik
Journal:  Ann Surg       Date:  2012-11       Impact factor: 12.969

7.  Detection of circulating tumor DNA in early- and late-stage human malignancies.

Authors:  Chetan Bettegowda; Mark Sausen; Rebecca J Leary; Isaac Kinde; Yuxuan Wang; Nishant Agrawal; Bjarne R Bartlett; Hao Wang; Brandon Luber; Rhoda M Alani; Emmanuel S Antonarakis; Nilofer S Azad; Alberto Bardelli; Henry Brem; John L Cameron; Clarence C Lee; Leslie A Fecher; Gary L Gallia; Peter Gibbs; Dung Le; Robert L Giuntoli; Michael Goggins; Michael D Hogarty; Matthias Holdhoff; Seung-Mo Hong; Yuchen Jiao; Hartmut H Juhl; Jenny J Kim; Giulia Siravegna; Daniel A Laheru; Calogero Lauricella; Michael Lim; Evan J Lipson; Suely Kazue Nagahashi Marie; George J Netto; Kelly S Oliner; Alessandro Olivi; Louise Olsson; Gregory J Riggins; Andrea Sartore-Bianchi; Kerstin Schmidt; le-Ming Shih; Sueli Mieko Oba-Shinjo; Salvatore Siena; Dan Theodorescu; Jeanne Tie; Timothy T Harkins; Silvio Veronese; Tian-Li Wang; Jon D Weingart; Christopher L Wolfgang; Laura D Wood; Dongmei Xing; Ralph H Hruban; Jian Wu; Peter J Allen; C Max Schmidt; Michael A Choti; Victor E Velculescu; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos; Luis A Diaz
Journal:  Sci Transl Med       Date:  2014-02-19       Impact factor: 17.956

8.  Circulating mutant DNA to assess tumor dynamics.

Authors:  Frank Diehl; Kerstin Schmidt; Michael A Choti; Katharine Romans; Steven Goodman; Meng Li; Katherine Thornton; Nishant Agrawal; Lori Sokoll; Steve A Szabo; Kenneth W Kinzler; Bert Vogelstein; Luis A Diaz
Journal:  Nat Med       Date:  2007-07-31       Impact factor: 53.440

9.  K-ras mutations and benefit from cetuximab in advanced colorectal cancer.

Authors:  Christos S Karapetis; Shirin Khambata-Ford; Derek J Jonker; Chris J O'Callaghan; Dongsheng Tu; Niall C Tebbutt; R John Simes; Haji Chalchal; Jeremy D Shapiro; Sonia Robitaille; Timothy J Price; Lois Shepherd; Heather-Jane Au; Christiane Langer; Malcolm J Moore; John R Zalcberg
Journal:  N Engl J Med       Date:  2008-10-23       Impact factor: 91.245

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

Authors:  Luis A Diaz; Richard T Williams; Jian Wu; Isaac Kinde; J Randolph Hecht; Jordan Berlin; Benjamin Allen; Ivana Bozic; Johannes G Reiter; Martin A Nowak; Kenneth W Kinzler; Kelly S Oliner; Bert Vogelstein
Journal:  Nature       Date:  2012-06-28       Impact factor: 49.962

View more
  26 in total

Review 1.  Current and Emerging Applications of Droplet Digital PCR in Oncology.

Authors:  Susana Olmedillas-López; Mariano García-Arranz; Damián García-Olmo
Journal:  Mol Diagn Ther       Date:  2017-10       Impact factor: 4.074

2.  Circulating tumour DNA and its clinical utility in predicting treatment response or survival in patients with metastatic colorectal cancer: a systematic review and meta-analysis.

Authors:  Louise B Callesen; Julian Hamfjord; Anders K Boysen; Niels Pallisgaard; Tormod K Guren; Elin H Kure; Karen-Lise G Spindler
Journal:  Br J Cancer       Date:  2022-04-19       Impact factor: 9.075

Review 3.  Liquid Biopsy for Prognosis and Treatment in Metastatic Colorectal Cancer: Circulating Tumor Cells vs Circulating Tumor DNA.

Authors:  Giorgio Patelli; Caterina Vaghi; Federica Tosi; Gianluca Mauri; Alessio Amatu; Daniela Massihnia; Silvia Ghezzi; Erica Bonazzina; Katia Bencardino; Giulio Cerea; Salvatore Siena; Andrea Sartore-Bianchi
Journal:  Target Oncol       Date:  2021-03-18       Impact factor: 4.493

4.  Preliminary Analysis of Liquid Biopsy after Hepatectomy for Colorectal Liver Metastases.

Authors:  Meredith C Mason; Ching-Wei D Tzeng; Hop S Tran Cao; Thomas A Aloia; Timothy E Newhook; Michael J Overman; Scott E Kopetz; Jean-Nicolas Vauthey; Yun Shin Chun
Journal:  J Am Coll Surg       Date:  2021-03-02       Impact factor: 6.532

5.  Clinical Application of Liquid Biopsy in Targeted Therapy of Metastatic Colorectal Cancer.

Authors:  Jörg Trojan; Susanne Klein-Scory; Christine Koch; Wolff Schmiegel; Alexander Baraniskin
Journal:  Case Rep Oncol Med       Date:  2017-01-23

6.  Extreme assay sensitivity in molecular diagnostics further unveils intratumour heterogeneity in metastatic colorectal cancer as well as artifactual low-frequency mutations in the KRAS gene.

Authors:  Sara Mariani; Luca Bertero; Simona Osella-Abate; Cristiana Di Bello; Paola Francia di Celle; Vittoria Coppola; Anna Sapino; Paola Cassoni; Caterina Marchiò
Journal:  Br J Cancer       Date:  2017-06-15       Impact factor: 7.640

7.  Plasma ctDNA RAS mutation analysis for the diagnosis and treatment monitoring of metastatic colorectal cancer patients.

Authors:  J Vidal; L Muinelo; A Dalmases; F Jones; D Edelstein; M Iglesias; M Orrillo; A Abalo; C Rodríguez; E Brozos; Y Vidal; S Candamio; F Vázquez; J Ruiz; M Guix; L Visa; V Sikri; J Albanell; B Bellosillo; R López; C Montagut
Journal:  Ann Oncol       Date:  2017-06-01       Impact factor: 32.976

Review 8.  Updates on Clinical Use of Liquid Biopsy in Colorectal Cancer Screening, Diagnosis, Follow-Up, and Treatment Guidance.

Authors:  Omayma Mazouji; Abdelhak Ouhajjou; Roberto Incitti; Hicham Mansour
Journal:  Front Cell Dev Biol       Date:  2021-05-24

Review 9.  Liquid dynamic medicine and N-of-1 clinical trials: a change of perspective in oncology research.

Authors:  Nicola Silvestris; Gennaro Ciliberto; Paolo De Paoli; Giovanni Apolone; Maria Luisa Lavitrano; Marco A Pierotti; Giorgio Stanta
Journal:  J Exp Clin Cancer Res       Date:  2017-09-13

10.  Clinical significance and effect of AEG-1 on the proliferation, invasion, and migration of NSCLC: a study based on immunohistochemistry, TCGA, bioinformatics, in vitro and in vivo verification.

Authors:  Yu Zhang; Zu-Yun Li; Xin-Xi Hou; Xiao Wang; Yi-Huan Luo; Yan-Ping Ying; Gang Chen
Journal:  Oncotarget       Date:  2017-03-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.