Evaluation of circulating tumor DNA as a prognostic biomarker for metastatic pancreatic adenocarcinoma

Prospective Evaluation of Circulating Tumor DNA Using Next-generation Sequencing as a Biomarker During Neoadjuvant Chemotherapy in Localized Pancreatic Cancer

OBJECTIVE

In this prospective study, we aim to characterize the prognostic value of circulating tumor DNA (ctDNA) by next-generation sequencing (NGS) in patients undergoing neoadjuvant chemotherapy (NAC) for pancreatic ductal adenocarcinoma (PDAC).

BACKGROUND

ctDNA is a promising blood-based biomarker that is prognostic in several malignancies. Detection of ctDNA by NGS may provide insights regarding the mutational profiles in PDAC to help guide clinical decisions for patients in a potentially curative setting. However, the utility of ctDNA as a biomarker in localized PDAC remains unclear.

METHODS

Patients with localized PDAC were enrolled in a prospective study at Northwestern Medicine between October 2020 and October 2022. Blood samples were collected to perform targeted tumor-agnostic NGS utilizing the Tempus x|F 105 gene panel at 3 timepoints: pretherapy (at diagnosis), post-NAC, and after local therapy, including surgery. The relationship between ctDNA detection and CA19-9 and the prognostic significance of ctDNA detection were analyzed.

RESULTS

Fifty-six patients were included in the analysis. ctDNA was detectable in 48% at diagnosis, 33% post-NAC, and 41% after local therapy. After completion of NAC, patients with detectable ctDNA had higher CA19-9 levels versus those without (78.4 vs 30.0; P =0.02). The presence of baseline ctDNA was associated with a CA19-9 response; those without ctDNA had a significant CA19-9 response following NAC (109.0 vs 31.5 U/mL; P =0.01), while those with ctDNA present at diagnosis did not (198.1 vs 113.8 U/mL; P =0.77). In patients treated with NAC, the presence of KRAS ctDNA at diagnosis was associated with and independently predicted worse progression-free survival.

CONCLUSIONS

This report demonstrates the prognostic value of ctDNA analysis with NGS in localized PDAC. NGS ctDNA is a biomarker of treatment response to NAC. KRAS ctDNA at diagnosis independently predicts worse survival in patients treated with NAC.

Prognostic biomarker MICAL2 and associates with proliferation, migration and immune infiltration in pancreatic adenocarcinoma

To elucidate the crucial function of MICAL2 as a potential immunotherapeutic target and a predictive biomarker in PAAD. The expression of MICAL2 in pan-cancer was investigated using public database, and the expression of MICAL2 in PAAD was validated using tissue samples. The diagnostic and prognostic significance of MICAL2 in PAAD was assessed through the application of ROC curves and Kaplan-Meier curves. The correlation between MICAL2 and infiltrating immune cells and immune checkpoints in PAAD was researched using the TIMER and TCGA databases. In vitro studies involved the evaluation of the biological functions of MICAL2 in human PAAD cells through the knockdown of MICAL2 expression using shRNA. Compared to corresponding normal tissues, the expression of MICAL2 exhibits significant differences in various cancers. Specifically, the level of MICAL2 expression is significantly increased in PAAD. Moreover, MICAL2 demonstrates considerable diagnostic potential in PAAD patients, and its elevated expression is indicative of an unfavorable prognosis. The differential expression of MICAL2 is related to infiltrating immune cells, immune cell markers, and immune checkpoints in PAAD. In ASPC-1 and PANC-1 cells, when MICAL2 was knocked down, there was a notable suppression of proliferation, migration, and invasion. MICAL2 functions as a significant predictor and promising immunotherapeutic target for prognosis assessment in PAAD. It has a pivotal function in fostering the growth and migration of PAAD cells.

New Biomarkers to Define a Biological Borderline Situation for Pancreatic Adenocarcinoma: Results of an Ancillary Study of the PANACHE01-PRODIGE48 Trial

OBJECTIVE

To investigate in patients treated for a resectable pancreatic ductal adenocarcinoma [pancreatic adenocarcinoma (PA)], the prognostic value of baseline carbohydrate antigen 19.9 (CA19-9) and circulating tumor DNA (ctDNA) for overall survival (OS), to improve death risk stratification, based on a planned ancillary study from PANACHE01-PRODIGE 48 trial.

BACKGROUND

Biological borderline situation that was first used by the MD Anderson, became a standard practice following the international consensus conference in 2016 to manage PA. Regarding the risk of systemic disease, especially in the setting of "markedly elevated" CA19-9, neoadjuvant therapy is advised to avoid unnecessary surgery, with a risk of early recurrence. To best define biological borderline situations, new biomarkers are needed.

METHODS

Characteristics at diagnosis and OS were compared between patients with or without ctDNA status available. OS was estimated with the Kaplan-Meier method and compared with a log-rank test. The restricted cubic spline approach was used to identify the optimal threshold for biological parameters for death risk stratification. Univariate and multivariate Cox proportional hazard models were estimated to assess the association of ctDNA status and other parameters with OS.

RESULTS

Among the 132 patients from the primary population for analysis in the PANACHE01 -PRODIGE 48 trial, 92(71%) were available for ctDNA status at diagnosis. No selection bias was identified between patients with or without ctDNA status. Fourteen patients (15%) were ctDNA+ and exhibited a higher risk for death [ P = 0.0188; hazard ratio (95% CI): 2.28 (1.12-4.63)]. In the 92 patients with ctDNA status available among the other parameters analyzed, only CA19-9 was statically associated with OS in univariate analysis. Patients with a log of CA19-9 equal or superior to 4.4 that corresponds to a CA19-9 of 80 UI/mL were identified at higher risk for death [ P = 0.0143; hazard ratio (95% CI): 2.2 (1.15-4.19)]. In multivariate analysis, CA19-19 remained independently associated with OS ( P = 0.0323). When combining the 2 biomarkers, the median OS was 19.4 [IC 95%: 3.8-not reached (NR)] months, 30.2 (IC 95%: 17.1-NR) months and NR (IC 95%: 39.3-NR) for "CA19-9 high and ctDNA+ group," "CA19-9 high or ctDNA+ group," and "CA19-9 low and ctDNA- group," respectively (log-rank P = 0.0069).

CONCLUSIONS

Progress in the management of potentially operable PA remains limited, relying solely on strategies to optimize the sequence of complete treatment, based on modern multidrug chemotherapy (FOLFIRINOX, GemNabPaclitaxel) and surgical resection. The identification of risk criteria, such as the existence of systemic disease, is an important issue, currently referred to as "biological borderline disease." Few data, particularly from prospective studies, allow us to identify biomarkers other than CA19-9. Combining ctDNA with CA19-9 could be of interest to best define biological borderline situations in PA.

Updated overall survival and ctDNA analysis in patients with EGFR T790M-positive advanced non-small cell lung cancer treated with lazertinib in the phase 1/2 LASER201 study

BACKGROUND

Lazertinib is a potent, irreversible, third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) with significant efficacy in patients with EGFR T790M-mutated non-small cell lung cancer (NSCLC). This is the final overall survival (OS) report from the phase 1/2 LASER201 study in patients with advanced NSCLC with disease progression on or after prior EGFR TKI therapy.

METHODS

Eligible patients were aged ≥ 20 years, with advanced EGFR-mutated NSCLC and previous therapy with EGFR TKI. Patients in this integrated analysis received oral lazertinib 240 mg/day. Endpoints included efficacy and safety; exploratory analyses included associations between circulating EGFR-mutant tumor DNA (ctDNA) and efficacy parameters.

RESULTS

This integrated analysis included 78 patients in Korea who received second- or later-line lazertinib. The median OS was 38.9 months; estimated survival rates at 12, 24, and 36 months were 89.5%, 73.9%, and 52.8%, respectively. The cumulative 12-month incidence of central nervous system progression was 9.4%. EGFR-mutant ctDNA was detected in 46 patients (62.2%) at baseline. The presence of ctDNA at baseline significantly predicted progression-free survival (PFS), disease control rate (DCR), and OS. PFS, response rate, and DCR were significantly associated with EGFR-mutant ctDNA clearance at cycle 3; PFS and OS were significantly associated with ctDNA clearance at cycle 5. The safety profile of lazertinib 240 mg/day was consistent with previous findings.

CONCLUSIONS

Lazertinib is a promising treatment option for patients with EGFR T790M-positive NSCLC following disease progression on prior EGFR-directed TKIs. Patients in LASER201 experienced prolonged OS, regardless of their EGFR mutation, brain metastases, or prior brain radiation status. Clearance of plasma EGFR mutations after lazertinib was associated with patient outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov identifier NCT03046992.

High somatic mutations in circulating tumor DNA predict response of metastatic pancreatic ductal adenocarcinoma to first-line nab-paclitaxel plus S-1: prospective study

AIMS

We previously showed that the nab-paclitaxel plus S-1 (NPS) regimen had promising effects against metastatic pancreatic ducal adenocarcinoma (mPDAC), whose efficacy however could not be precisely predicted by routine biomarkers. This prospective study aimed to investigate the values of mutations in circulating tumor DNA (ctDNA) and their dynamic changes in predicting response of mPDAC to NPS chemotherapy.

METHODS

Paired tumor tissue and blood samples were prospectively collected from patients with mPDAC receiving first-line NPS chemotherapy, and underwent next-generation sequencing with genomic profiling of 425 genes for ctDNA. High mutation allelic frequency (MAF) was defined as ≥ 30% and ≥ 5% in tumor tissue and blood, respectively. Kappa statistics were used to assess agreement between mutant genes in tumor and ctDNA. Associations of mutations in ctDNA and their dynamic changes with tumor response, overall survival (OS), and progression-free survival (PFS) were assessed using the Kaplan-Meier method, multivariable-adjusted Cox proportional hazards regression, and longitudinal data analysis.

RESULTS

147 blood samples and 43 paired tumor specimens from 43 patients with mPDAC were sequenced. The most common driver genes with high MAF were KRAS (tumor, 35%; ctDNA, 37%) and TP53 (tumor, 37%; ctDNA, 33%). Mutation rates of KRAS and TP53 in ctDNA were significantly higher in patients with liver metastasis, with baseline CA19-9 ≥ 2000 U/mL, and/or without an early CA19-9 response. κ values for the 5 most commonly mutated genes between tumor and ctDNA ranged from 0.48 to 0.76. MAFs of the genes mostly decreased sequentially during subsequent measurements, which significantly correlated with objective response, with an increase indicating cancer progression. High mutations of KRAS and ARID1A in both tumor and ctDNA, and of TP53, CDKN2A, and SMAD4 in ctDNA but not in tumor were significantly associated with shorter survival. When predicting 6-month OS, AUCs for the 5 most commonly mutated genes in ctDNA ranged from 0.59 to 0.84, larger than for genes in tumor (0.56 to 0.71) and for clinicopathologic characteristics (0.51 to 0.68). Repeated measurements of mutations in ctDNA significantly differentiated survival and tumor response. Among the 31 patients with ≥ 2 ctDNA tests, longitudinal analysis of changes in gene MAF showed that ctDNA progression was 60 and 58 days ahead of radiologic and CA19-9 progression for 48% and 42% of the patients, respectively.

CONCLUSIONS

High mutations of multiple driving genes in ctDNA and their dynamic changes could effectively predict response of mPDAC to NPS chemotherapy, with promising reliable predictive performance superior to routine clinicopathologic parameters. Inspiringly, longitudinal ctDNA tracking could predict disease progression about 2 months ahead of radiologic or CA19-9 evaluations, with the potential to precisely devise individualized therapeutic strategies for mPDAC.

Monitoring of circulating tumour DNA in advanced pancreatic ductal adenocarcinoma predicts clinical outcome and reveals disease progression earlier than radiological imaging

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with a need for better tools to guide treatment selection and follow-up. The aim of this prospective study was to investigate the prognostic value and treatment monitoring potential of longitudinal circulating tumour DNA (ctDNA) measurements in patients with advanced PDAC undergoing palliative chemotherapy. Using KRAS peptide nucleic acid clamp-PCR, we measured ctDNA levels in plasma samples obtained at baseline and every 4 weeks during chemotherapy from 81 patients with locally advanced and metastatic PDAC. Cox proportional hazard regression showed that ctDNA detection at baseline was an independent predictor of progression-free and overall survival. Joint modelling demonstrated that the dynamic ctDNA level was a strong predictor of time to first disease progression. Longitudinal ctDNA measurements during chemotherapy successfully revealed disease progression in 20 (67%) of 30 patients with ctDNA detected at baseline, with a median lead time of 23 days (P = 0.01) over radiological imaging. Here, we confirmed the clinical relevance of ctDNA in advanced PDAC with regard to both the prediction of clinical outcome and disease monitoring during treatment.

Minimal residual disease (MRD) detection in solid tumors using circulating tumor DNA: a systematic review

Minimal residual disease (MRD) refers to a very small number of residual tumor cells in the body during or after treatment, representing the persistence of the tumor and the possibility of clinical progress. Circulating tumor DNA (ctDNA) is a DNA fragment actively secreted by tumor cells or released into the circulatory system during the process of apoptosis or necrosis of tumor cells, which emerging as a non-invasive biomarker to dynamically monitor the therapeutic effect and prediction of recurrence. The feasibility of ctDNA as MRD detection and the revolution in ctDNA-based liquid biopsies provides a potential method for cancer monitoring. In this review, we summarized the main methods of ctDNA detection (PCR-based Sequencing and Next-Generation Sequencing) and their advantages and disadvantages. Additionally, we reviewed the significance of ctDNA analysis to guide the adjuvant therapy and predict the relapse of lung, breast and colon cancer et al. Finally, there are still many challenges of MRD detection, such as lack of standardization, false-negatives or false-positives results make misleading, and the requirement of validation using large independent cohorts to improve clinical outcomes.