Cancer epigenetics in clinical practice

V Davalos, M Esteller - CA: a cancer journal for clinicians, 2023 - Wiley Online Library
Cancer development is driven by the accumulation of alterations affecting the structure and
function of the genome. Whereas genetic changes disrupt the DNA sequence, epigenetic …

An overview of artificial intelligence in oncology

E Farina, JJ Nabhen, MI Dacoregio, F Batalini… - Future science …, 2022 - Taylor & Francis
Cancer is associated with significant morbimortality globally. Advances in screening,
diagnosis, management and survivorship were substantial in the last decades, however …

AI-based pathology predicts origins for cancers of unknown primary

MY Lu, TY Chen, DFK Williamson, M Zhao, M Shady… - Nature, 2021 - nature.com
Cancer of unknown primary (CUP) origin is an enigmatic group of diagnoses in which the
primary anatomical site of tumour origin cannot be determined,. This poses a considerable …

[HTML][HTML] Tumor mutation burden for predicting immune checkpoint blockade response: the more, the better

M Zheng - Journal for immunotherapy of cancer, 2022 - ncbi.nlm.nih.gov
Background Recently, the US Food and Drug Administration (FDA) has approved immune
checkpoint blockade (ICB) for treating cancer patients with tumor mutation burden (TMB)> …

Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning

F Tian, D Liu, N Wei, Q Fu, L Sun, W Liu, X Sui… - Nature Medicine, 2024 - nature.com
Cancer of unknown primary (CUP) site poses diagnostic challenges due to its elusive
nature. Many cases of CUP manifest as pleural and peritoneal serous effusions. Leveraging …

Site-specific and targeted therapy based on molecular profiling by next-generation sequencing for cancer of unknown primary site: a nonrandomized phase 2 clinical …

H Hayashi, Y Takiguchi, H Minami, K Akiyoshi… - JAMA …, 2020 - jamanetwork.com
Importance Although profiling of gene expression and gene alterations by next-generation
sequencing (NGS) to predict the primary tumor site and guide molecularly targeted therapy …

The outcome of patients with serous papillary peritoneal cancer, fallopian tube cancer, and epithelial ovarian cancer by treatment eras: 27 years data from the SEER …

N Pavlidis, E Rassy, JB Vermorken, T Assi, J Kattan… - Cancer …, 2021 - Elsevier
Aim To determine the differential effect of the treatment periods on the survival of patients
with stage IV serous papillary peritoneal carcinoma (SPPC), fallopian tube cancers, and …

Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology

Y Jiang, C Wang, S Zhou - Seminars in cancer biology, 2023 - Elsevier
As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images

L Zhu, H Shi, H Wei, C Wang, S Shi, F Zhang, R Yan… - …, 2023 - thelancet.com
Background Determining the origin of bone metastatic cancer (OBMC) is of great
significance to clinical therapeutics. It is challenging for pathologists to determine the OBMC …

Keep your eyes peeled for long noncoding RNAs: Explaining their boundless role in cancer metastasis, drug resistance, and clinical application

GK Barik, O Sahay, A Behera, D Naik… - Biochimica et Biophysica …, 2021 - Elsevier
Cancer metastasis and drug resistance are two major obstacles in the treatment of cancer
and therefore, the leading cause of cancer-associated mortalities worldwide. Hence, an in …