Review
Oncology
Elisabetta Macerola, Anello Marcello Poma, Paola Vignali, Agnese Proietti, Clara Ugolini, Liborio Torregrossa, Alessio Basolo, Rossella Elisei, Ferruccio Santini, Fulvio Basolo
Summary: Predictive biomarkers in molecular pathology identify patients who are likely to respond to targeted drugs, with the availability of new selective targeted drugs changing diagnostic strategies for molecular characterization of tumors.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Satu Maki-Nevala, Sanjeevi Ukwattage, Alisa Olkinuora, Henrikki Almusa, Maarit Ahtiainen, Ari Ristimaki, Toni Seppala, Anna Lepisto, Jukka-Pekka Mecklin, Paivi Peltomaki
Summary: Ulcerative colitis increases the risk of colorectal cancer, and this study examined the genetic and epigenetic profiles of colitis-associated colorectal carcinomas (CA-CRC). Subgroups within CA-CRC were identified with different mutational loads and signatures, which may guide clinical management and therapy options. Lynch syndrome tumors showed a higher degree of hypermutability compared to CA-CRC subgroups.
INTERNATIONAL JOURNAL OF CANCER
(2021)
Review
Medical Laboratory Technology
Fenqi Du, Yanlong Liu
Summary: Colorectal cancer is a common malignant tumor and the use of immune checkpoint inhibitors (ICIs) in its treatment is actively being explored. Predictive molecular markers play a crucial role in identifying patient populations that can benefit from ICIs.
JOURNAL OF CLINICAL LABORATORY ANALYSIS
(2022)
Review
Multidisciplinary Sciences
B. Cristoffer Sakshaug, Evelina Folkesson, Tonje Husby Haukaas, Torkild Visnes, Asmund Flobak
Summary: This article presents a systematic review of studies on the performance of patient-derived organoids in predicting the effect of anti-cancer therapies in colorectal cancer. The review shows that patient-derived organoids have a high predictive value for treatment outcomes in chemotherapy, targeted drugs, and radiation therapy for colorectal cancer.
SCIENTIFIC REPORTS
(2023)
Review
Oncology
Mehmet Yalchin, Ann-Marie Baker, Trevor A. Graham, Ailsa Hart
Summary: Patients with colonic inflammatory bowel disease (IBD) are at an increased risk of developing colorectal cancer (CRC), and are enrolled into a surveillance programme aimed at detecting dysplasia or early cancer. Current surveillance programmes are guided by clinical, endoscopic or histological predictors of colitis-associated CRC (CA-CRC). There has been significant progress in understanding predictors of disease progression and improvements in endoscopic technique and management, leading to a decrease in the incidence of CA-CRC over the past 50 years. However, there is still room for improvement in our molecular understanding of CA-CRC progression and better risk stratification for patients with IBD.
Article
Oncology
Lindsey Carlsen, Kelsey E. Huntington, Wafik S. El-Deiry
Summary: This review discusses preclinical and clinical studies on immunotherapy for colorectal cancer, including various treatment methods and predictive biomarkers for treatment response. Despite certain limitations, immunotherapy provides hope for improving patient outcomes and quality of life.
Article
Pathology
Santina M. Snow, Kristina A. Matkowskyj, Morgan Maresh, Linda Clipson, Tien N. Vo, Katherine A. Johnson, Dustin A. Deming, Michael A. Newton, William M. Grady, Perry J. Pickhardt, Richard B. Halberg
Summary: Colorectal cancer is a leading cause of cancer death in the United States, with standard treatments including chemotherapy and more recent targeted therapies based on molecular profiling. Low levels of DDAH1 and GAL3ST2 proteins in human CRC correlate with poor patient outcomes, which could impact prognosis and therapy selection methods.
Article
Oncology
Fortunato Ciardiello, Davide Ciardiello, Giulia Martini, Stefania Napolitano, Josep Tabernero, Andres Cervantes
Summary: This review summarizes the progress in the clinical management of patients with metastatic colorectal cancer (mCRC) in the era of precision medicine. Molecular stratification, based on the current treatment algorithm, has been a significant step towards implementing more effective therapeutic approaches. Integrating tumor gene alterations with tumor and microenvironment gene and protein expression profiling, host immune competence, and applying dynamic changes to precision medicine-based continuum of care, could lead to the identification of individual prognostic and predictive parameters for choosing the most appropriate therapeutic program for each patient.
CA-A CANCER JOURNAL FOR CLINICIANS
(2022)
Article
Cell Biology
Neda Yaghoubi, Farnaz Zahedi Avval, Majid Khazaei, Seyed Hamid Aghaee-Bakhtiari
Summary: miRNAs, as highly sensitive and specific markers, play important roles in the diagnosis, prognosis, and treatment of colorectal cancer. They can serve as quantifiable and effective molecular tools, offering potential new strategies for early cancer detection and treatment.
CELLULAR SIGNALLING
(2021)
Article
Biochemistry & Molecular Biology
Danique J. I. Heuvelings, Anne G. W. E. Wintjens, Laura Moonen, Sanne M. E. Engelen, Ignace H. J. T. de Hingh, Liselot B. Valkenburg-van Iersel, Marcel den Dulk, Jan Beckervordersandforth, Sharon G. M. Thijssen, Daphne J. G. Leunissen, Laurents P. S. Stassen, Daniel Keszthelyi, Zlatan Mujagic, Ernst-Jan M. Speel, Nicole D. Bouvy
Summary: Metastatic colorectal cancer (CRC) is a common cause of cancer-related mortality, particularly peritoneal metastases (PM) with poor prognosis. This pilot study aimed to explore the genetic alterations in primary CRC tumors that may predict the development of PM. The study found unique BRAF mutations in microsatellite-stable (MSS) PM tumors and emphasized the importance of BRAF-mutated tumors in relation to the development of metachronous PM.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Oncology
Afsheen Raza, Abdul Q. Khan, Varghese Philipose Inchakalody, Sarra Mestiri, Zeenath Safira K. M. Yoosuf, Takwa Bedhiafi, Dina Moustafa Abo El-Ella, Nassiba Taib, Shereena Hydrose, Shayista Akbar, Queenie Fernandes, Lobna Al-Zaidan, Roopesh Krishnankutty, Maysaloun Merhi, Shahab Uddin, Said Dermime
Summary: Colorectal cancer (CRC) is a common cancer worldwide. Liquid biopsy has gained significant attention in CRC due to its advantages over tissue biopsy and its approval for comprehensive screening, diagnosis, and prognosis of CRC. Various liquid biopsy biomarkers are being researched, including components of the microbiome, non-coding RNAs, extracellular vesicles, and circulating tumor DNA.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
(2022)
Review
Biochemistry & Molecular Biology
Dalma Mueller, Balazs Gyorffy
Summary: DNA methylation is an important mechanism regulating gene expression and can be used as biomarkers for diagnosis and prognosis of colorectal cancer. Some methylation-based diagnostic biomarkers have been approved, and there are also new candidate biomarkers. However, most of the methylation changes still need validation in independent samples.
BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
(2022)
Article
Oncology
Yu Feng, Yutao Liu, Mingming Yuan, Guilan Dong, Hongxia Zhang, Tongmei Zhang, Lianpeng Chang, Xuefeng Xia, Lifeng Li, Haohua Zhu, Puyuan Xing, Hongyu Wang, Yuankai Shi, Zhijie Wang, Xingsheng Hu
Summary: This study investigated the feasibility of using dynamic circulating tumor DNA as biomarkers to classify small cell lung cancer into different subtypes and predict prognosis. The results showed that monitoring RB1 mutation and molecular tumor burden index provided a feasible tool in predicting the prognosis of SCLC.
CANCER RESEARCH AND TREATMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
David Susic, Shabbir Syed-Abdul, Erik Dovgan, Jitendra Jonnagaddala, Anton Gradisek
Summary: This study evaluated the performance of machine learning algorithms in predicting the survival of colorectal cancer patients 1 to 5 years after diagnosis and identified the most important variables. The results showed that machine learning algorithms can predict the survival probability of colorectal cancer patients and can be used to assist decision-making in clinical care management.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Multidisciplinary Sciences
Pei-Chen Tsai, Tsung-Hua Lee, Kun-Chi Kuo, Fang-Yi Su, Tsung-Lu Michael Lee, Eliana Marostica, Tomotaka Ugai, Melissa Zhao, Mai Chan Lau, Juha P. Vayrynen, Marios Giannakis, Yasutoshi Takashima, Seyed Mousavi Kahaki, Kana Wu, Mingyang Song, Jeffrey A. Meyerhardt, Andrew T. Chan, Jung-Hsien Chiang, Jonathan Nowak, Shuji Ogino, Kun-Hsing Yu
Summary: The authors develop a machine learning-based platform, MOMA, to systematically identify and interpret the relationship between patients' histologic patterns, multi-omics, and clinical profiles. MOMA successfully predicts the overall survival, disease-free survival, and copy number alterations of colorectal cancer patients. Additionally, MOMA identifies interpretable pathology patterns predictive of gene expression profiles, microsatellite instability status, and clinically actionable genetic alterations.
NATURE COMMUNICATIONS
(2023)
