A cross-cohort computational framework to trace tumor tissue-of-origin based on RNA sequencing

B He, H Sun, M Bao, H Li, J He, G Tian, B Wang - Scientific reports, 2023 - nature.com
Carcinoma of unknown primary (CUP) is a type of metastatic cancer with tissue-of-origin
(TOO) unidentifiable by traditional methods. CUP patients typically have poor prognosis but …

New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges

W Ma, H Wu, Y Chen, H Xu, J Jiang, B Du… - Briefings in …, 2024 - academic.oup.com
Despite a standardized diagnostic examination, cancer of unknown primary (CUP) is a rare
metastatic malignancy with an unidentified tissue of origin (TOO). Patients diagnosed with …

Evaluating DNA methylation, gene expression, somatic mutation, and their combinations in inferring tumor tissue-of-origin

H Liu, C Qiu, B Wang, P Bing, G Tian… - Frontiers in cell and …, 2021 - frontiersin.org
Carcinoma of unknown primary (CUP) is a type of metastatic cancer, the primary tumor site
of which cannot be identified. CUP occupies approximately 5% of cancer incidences in the …

A deep learning model to classify neoplastic state and tissue origin from transcriptomic data

J Hong, LD Hachem, MG Fehlings - Scientific reports, 2022 - nature.com
Application of deep learning methods to transcriptomic data has the potential to enhance the
accuracy and efficiency of tissue classification and cell state identification. Herein, we …

Molecular characterization of colorectal adenoma and colorectal cancer via integrated genomic transcriptomic analysis

P Pan, J Li, B Wang, X Tan, H Yin, Y Han… - Frontiers in …, 2023 - frontiersin.org
Introduction Colorectal adenoma can develop into colorectal cancer. Determining the risk of
tumorigenesis in colorectal adenoma would be critical for avoiding the development of …

[HTML][HTML] Genomic pan-cancer classification using image-based deep learning

T Ye, S Li, Y Zhang - Computational and Structural Biotechnology Journal, 2021 - Elsevier
Accurate cancer type classification based on genetic mutation can significantly facilitate
cancer-related diagnosis. However, existing methods usually use feature selection …

[PDF][PDF] Application of Machine Learning for Tracing the Origin of Metastatic Lung Cancer Tissues

T Wang, Q Fan, H Cai, B Zhang - lung, 2023 - iaeng.org
Accurate identification of the primary site of metastatic lung cancer (LC) is critical to the
design of effective treatments that can assist physicians in diagnosis and improve prognosis …

[PDF][PDF] A Artificial Intellegent algorithms for Tumor Disease Detection: systematic Literature Review

MH Alkarim, I Suwarno, MA Baballe… - Sunan Kalijaga Journal …, 2022 - researchgate.net
A Tumor is a swelling in the body caused by cells that multiply abnormally. Tumors or
neoplasms consisting of benign tumors and malignant tumors. Benign tumors can grow …

[PDF][PDF] Classification of cancer primary sites using somatic mutation data with machine learning algorithms

Y Sandhya, S Thejeshwar, GP Iragavarapu… - 2040 - researchgate.net
Cancer remains a defining illness of our generation as it evades both immunity and drugs.
Early diagnosis is crucial in the battle against cancer. Thanks to the advent of next …