A Novel Technique for Detecting the Therapeutic Target, KRAS Mutant, From Peripheral Blood Using the Automatic Chipball Device With Weighted Enzymatic Chip Array

Optimization of a multigene biochip for detection of relapsed and early relapsed colorectal cancer

BACKGROUND

With the recent development of molecular markers, strategies for identifying patients with colorectal cancer (CRC) having a high risk of postoperative early relapse (within 1 y) and relapse have been improved. We previously constructed a multigene biochip with 19 candidate genes. The objective of the present study was to optimize a multigene biochip for detecting the risk of postoperative early relapse and relapse in patients with CRC.

METHODS

We included 357 patients with stage I-III CRC who underwent curative resection at a single institution between June 2010 and May 2015. During each follow-up, a postoperative surveillance strategy including the National Comprehensive Cancer Network recommendations and a multigene biochip was used. A statistical algorithm was developed to select candidate biomarkers for an optimal combination.

RESULTS

After a 30.9-mo median follow-up, 67 patients (18.8%) had postoperative relapse, of whom 25 (7.0%) relapsed within 1 y after operation and accounted for 37.3% of all relapsed patients. Of the 19 circulating biomarkers, ELAVL4, PTTG1, BIRC5, PDE6D, CHRNB1, MMP13, and PSG2, which presented significant predictive validity, were selected for combination. The expression of the seven-biomarker biochip resulted in area under the receiver operating characteristic curve values of 0.854 (95% confidence interval: 0.756-0.952) for early relapse and 0.884 (95% confidence interval: 0.830-0.939) for relapse. Moreover, the sensitivity, specificity, and predictive accuracy levels were 84.0%, 83.1%, and 83.2% for early relapse and 76.1%, 91.0%, and 88.2% for relapse (P = 0.415, 0.006, and 0.054, respectively). The median lead times before the detection of postoperative early relapse and relapse were 3.8 and 10.4 mo, respectively.

CONCLUSIONS

From 19 circulating biomarkers, we optimized seven contemporary circulating biomarkers. The prediction model used for the early and accurate identification of Taiwanese patients with CRC having a high risk of postoperative early relapse and relapse seems to be feasible and comparable.

A Prospective Study of Comparing Multi-Gene Biomarker Chip and Serum Carcinoembryonic Antigen in the Postoperative Surveillance for Patients with Stage I-III Colorectal Cancer

Background

Circulating biomarkers can predict clinical outcomes in colorectal cancer patients. The aim of the study was to evaluate the feasibility of our multigene biomarker chip for detecting circulating tumor cells for postoperative surveillance of stage I–III colorectal cancer patients.

Materials and Methods

In total, 298 stage I–III colorectal cancer patients were analyzed after curative resection between June 2010 and October 2014. During each follow-up, a postoperative surveillance strategy, including ESMO Guidelines Working Group recommendations and the biochip, was used.

Results

After a 28.4-month median follow-up, 48 (16.1%) patients had postoperative relapse. Univariate analysis revealed that the postoperative relapse risk factors were rectal tumor, perineural invasion, elevated preoperative and postoperative serum carcinoembryonic antigen levels, and positive biochip results (all P < 0.05). Multivariate analyses revealed that postoperative relapse correlated significantly with elevated postoperative serum carcinoembryonic antigen levels (odds ratio = 4.136, P = 0.008) and positive biochip results (odds ratio = 66.878, P < 0.001). However, the sensitivity (P = 0.003), specificity (P = 0.003), positive (P = 0.002) and negative (P = 0.006) predictive values, and accuracy (P < 0.001) of the biochip for predicting postoperative relapse were significantly higher than those of elevated postoperative serum carcinoembryonic antigen levels. Moreover, the median lead time between positive biochip result and postoperative relapse detection was significantly earlier than that between elevated postoperative serum carcinoembryonic antigen level and postoperative relapse detection (10.7 vs. 2.8 months, P < 0.001). Furthermore, positive biochip results correlated strongly with lower disease-free survival and overall survival of colorectal cancer patients (both P < 0.001).

Conclusion

Compared with conventional serum carcinoembryonic antigen detection, our multigene chip aided more accurate and earlier prediction of postoperative relapse during stage I–III colorectal cancer patient surveillance. In clinical practice, this biochip may facilitate early postoperative relapse diagnosis in colorectal cancer patients.

Detection of activated KRAS from cancer patient peripheral blood using a weighted enzymatic chip array

Background

The KRAS oncogene was one of the earliest discoveries of genetic alterations in colorectal and lung cancers. Moreover, KRAS somatic mutations might be used for predicting the efficiency of anti-EGFR therapeutic drugs. The purpose of this research was to improve Activating KRAS Detection Chip by using a weighted enzymatic chip array (WEnCA) platform to detect activated KRAS mutations status in the peripheral blood of non-small-cell lung cancer (NSCLC) and colorectal cancer (CRC) patients in Taiwan.

Methods

Our laboratory developed an Activating KRAS Detection Chip and a WEnCA technique that can detect activated KRAS mutation status by screening circulating cancer cells in the surrounding bloodstream. We collected 390 peripheral blood samples of NSCLC patients (n = 210) and CRC patients (n = 180) to evaluate clinical KRAS activation using this gene array diagnosis apparatus, an Activating KRAS Detection Chip and a WEnCA technique. Subsequently, we prospectively enrolled 88 stage III CRC patients who received adjuvant FOLFOX-4 chemotherapy with or without cetuximab. We compared the chip results of preoperative blood specimens and their relationship with disease control status in these patients.

Results

After statistical analysis, the sensitivity of WEnCA was found to be 93%, and the specificity was found to be 94%. Relapse status and chip results among the stage III CRC patients receiving FOLFOX-4 plus cetuximab (n = 59) and those receiving FOLFOX-4 alone (n = 29) were compared. Among the 51 stage III CRC patients with chip negative results who were treated with FOLFOX-4 plus cetuximab chemotherapy, the relapse rate was 33.3%; otherwise, the relapse rate was 48.5% among the 23 out of 88 patients with chip negative results who received FOLFOX-4 alone. Negative chip results were significantly associated to better treatment outcomes in the FOLFOX-4 plus cetuximab group (P = 0.047).

Conclusions

The results demonstrated that the WEnCA technique is a sensitive and convenient technique that produces easy-to-interpret results for detecting activated KRAS from the peripheral blood of cancer patients. We suggest that the WEnCA technique is also a potential tool for predicting responses in CRC patients following FOLFOX-4 plus cetuximab chemotherapy.