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Cancer Likelihood in Plasma (CLiP) refers to a set of ensemble learning methods for integrating various genomic features useful for the noninvasive detection of early cancers from blood plasma. [1] An application of this technique for early detection of lung cancer (Lung-CLiP) was originally described by Chabon et al. (2020) [ 2 ] from the labs ...
Lung Cancer Dataset Lung cancer dataset without attribute definitions 56 features are given for each case 32 Text Classification 1992 [270] [271] Z. Hong et al. Arrhythmia Dataset Data for a group of patients, of which some have cardiac arrhythmia. 276 features for each instance. 452 Text Classification 1998 [272] [273] H. Altay et al.
In medicine, an imaging biomarker is a feature of an image relevant to a patient's diagnosis. For example, a number of biomarkers are frequently used to determine risk of lung cancer. First, a simple lesion in the lung detected by X-ray, CT, or MRI can lead to the suspicion of a neoplasm. The lesion itself serves as a biomarker, but the minute ...
Tumor markers can be molecules that are produced in higher amounts by cancer cells than normal cells, but can also be produced by other cells from a reaction with the cancer. [2] The markers can't be used to give patients a diagnosis but can be compared with the result of other tests like biopsy or imaging. [2]
Genetic, [1] epigenetic, [2] proteomic, [3] glycomic, [4] and imaging biomarkers can be used for cancer diagnosis, prognosis, and epidemiology. Ideally, such biomarkers can be assayed in non-invasively collected biofluids like blood or serum. [5] Cancer is a disease that affects society at a world-wide level.
CA 242 is a tumor marker for sialylated Lewis carbohydrates associated with adenocarcinomas and e-selectin-mediated metastatic risk. [1] [2] [3] It is commonly tested along with CEA, CA19-9, and CA242 for detecting pancreatic cancer. [4] The specificity of CA 242 is higher than similar markers.
Detection of ctDNA has been found to be a predictor of relapse in multiple studies thus far. In a study [14] in late-stage non-small-cell lung cancer (NSCLC) they found two cases where ctDNA correctly determined the outcome of a patient when medical imaging was wrong. In one case, the imaging predicted relapse based on a suspected residual ...
A panel of epigenetic methylation marker has been explored for prognosis of ovarian cancer, and it is reported that the panel exhibited high specificity and sensitivity (both above 70%) as a screen marker. [5] Epigenetic markers have also shown promising potential as prognostic markers for bladder cancer. [6]
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