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.
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http://dx.doi.org/10.1186/1479-5876-12-147 | DOI Listing |
Cancer Res Commun
January 2025
University of New Mexico, Albuquerque, NM, United States.
Melanoma brain metastasis (MBM) is linked to dismal prognosis, low overall survival, and is detected in up to 80% of patients at autopsy. Circulating tumor cells (CTCs) are the smallest functional units of cancer and precursors of fatal metastasis. We previously employed an unbiased multilevel approach to discover a unique ribosomal protein large/small subunits (RPL/RPS) CTC gene signature associated with MBM.
View Article and Find Full Text PDFCancer Res Commun
January 2025
Indiana University School of Medicine, Bloomington, IN, United States.
Ovarian cancer is a deadly gynecological disease with frequent recurrence. Current treatments for patients include platinum-based therapy regimens with PARP inhibitors specific for HR-deficient high-grade serous ovarian cancers (HGSOCs). Despite initial effectiveness, patients inevitably develop disease progression as tumor cells acquire resistance.
View Article and Find Full Text PDFMol Oncol
January 2025
Department of Molecular Medicine, Aarhus University Hospital, Denmark.
The presence of circulating tumor DNA (ctDNA) in patients with colorectal adenomas remains uncertain. Studies using tumor-agnostic approaches report ctDNA in 10-15% of patients, though with uncertainty as to whether the signal originates from the adenoma. To obtain an accurate estimate of the proportion of patients with ctDNA, a sensitive tumor-informed strategy is preferred, as it ensures the detected signal originates from the adenoma.
View Article and Find Full Text PDFJCO Clin Cancer Inform
November 2024
College of Computing and Informatics, Drexel University, Philadelphia, PA.
Purpose: Machine learning algorithms are used for predictive modeling in medicine, but studies often do not evaluate or report on the potential biases of the models. Our purpose was to develop clinical prediction models for readmission after surgery in colorectal cancer (CRC) patients and to examine their potential for racial bias.
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Cureus
December 2024
General Surgery, Maidstone and Tunbridge Wells NHS Trust, Maidstone, GBR.
Introduction Colorectal cancer (CRC) continues to pose a major public health challenge, ranking among the most common malignancies globally and being a leading cause of cancer-related mortality. Most CRCs originate from adenomatous polyps, underscoring the importance of detecting and removing these precancerous growths as a key preventive measure against CRC. In particular, large colonic polyps (≥10 mm) warrant special attention due to their increased risk of progressing to malignancy compared to smaller polyps.
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