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Indexed in: PubMed/MEDLINE Web of Science Scopus

NEW ISSUE

Dear Colleague,

In this newsletter, we share the new issue of Cancer Biomarkers. All articles from Volume 33, Issue 3 are included in this newsletter, along with highlights of the most read recent content, details of how to submit your research to the journal, and a reminder about our recent special issue.

We are also pleased to share information about the recent celebration for the 35th anniversary of IOS Press.

Kind regards,

Editor-in-Chief
Sudhir Srivastava, PhD, MPH
submissions@iospress.com

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CBM News

Insights to journal shared at IOS Press 35th Anniversary

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Sudhir Srivastava (credit: Philip Jong Loy)

Presentation on Cancer Biomarkers

The journal's Editor-in-Chief Sudhir Srivastava was one of the esteemed scholars who participated in the IOS Press 35th anniversary symposium on March 31, 2022 in Amsterdam. The focus of his presentation was the journal's history, current developments, and prospects, as well as more broadly the area of biomarkers research. Discover more via the links below.

IOS Press 35th Anniversary | Watch the Presentation

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ICYMI: Discover the AI Special Issue

In the recent special issue, researchers propose various approaches and explore some of the unique challenges of using artificial intelligence, deep learning, and machine learning to improve the accuracy and predictive power of biomarkers for cancer and other diseases. We are pleased to share the insights from a number of noted experts about these areas.

Testimonials from Noted Experts

Hear from experts in the field on the importance of the topics covered in this issue:

Anirban Maitra, MBBS, MD Anderson Cancer Center: Read testimonial

Kenneth W. Kinzler, PhD, Johns Hopkins Kimmel Cancer Center: Read testimonial

Chris Amos, PhD, Baylor College of Medicine: Read testimonial

Samir M. Hanash, MD, PhD, MD Anderson Cancer Center: Read testimonial

Openly available until August 31, 2022

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NEW ISSUE

Volume 33, Issue 3 / 2022 / Available Online

RESEARCH ARTICLES
Cytoplasmic expression of DCLK1-S, a novel DCLK1 isoform, is associated with tumor aggressiveness and worse disease-specific survival in colorectal cancer
Kalantari, Elham | Ghods, Roya | Saeednejad Zanjani, Leili | Rahimi, Mandana | Eini, Leila | Razmi, Mahdieh | Asadi-Lari, Mohsen | Madjd, Zahra

Changes in the neutrophil to lymphocyte ratio as predictors of outcome in pediatric patients with central nervous system tumors undergoing surgical resection
Flores-Bustamante, Al | Hernández-Regino, Laura | Castillejos-López, Manuel-De-Jesús | Martínez-Rodríguez, Daniel | Aquino-Gálvez, Arnoldo | Zapata-Tarrés, Marta | et al.

Identification of potential prognostic markers associated with lung metastasis in breast cancer by weighted gene co-expression network analysis
Zhang, Xixun

MCUR1 is a prognostic biomarker for ovarian cancer patients
Fan, Liming | Yang, Hualiang | Zhang, Bo | Ding, Hong

Lidocaine inhibited migration of NSCLCA549 cells via the CXCR4 regulationOpen Access
Xing, Baichun | Yang, Linlin | Cui, Yanan

MicroRNA-182-5p and microRNA-205-5p as potential biomarkers for prognostic stratification of p16-positive oropharyngeal squamous cell carcinoma
Weiss, Bernhard G. | Anczykowski, Mahalia Zoe | Ihler, Friedrich | Bertlich, Mattis | Spiegel, Jennifer L. | Haubner, Frank | Canis, Martin | Küffer, Stefan | Hess, Julia | et al.

Bioinformatics-guided analysis uncovers TIGIT as an epigenetically regulated immunomodulator affecting immunotherapeutic sensitivity of gastric cancer
Ma, Jianfei

Antibody array-based proteomic screening of novel biomarkers in malignant biliary stricture
Qin, Wen-Hao | Liu, Jun-Teng | Wang, Shu-Ping | Yang, Zhi-Shi | Wang, Kun-Ke | Hu, Bing

Carboxypeptidase E mRNA: Overexpression predicts recurrence and death in lung adenocarcinoma cancer patients
Kuo, I-Ying | Liu, Danping | Lai, Wu-Wei | Wang, Yi-Ching | Loh, Y. Peng

Differential gene expression analysis for osteosarcoma lung metastases
Liu, Fengsong | Pang, Xiaojian | Yu, Ziqi | Wang, Kai

m5C RNA methyltransferase-related gene NSUN4 stimulates malignant progression of hepatocellular carcinoma and can be a prognostic marker
Cui, Mingxin | Qu, Fengzhi | Wang, Libing | Liu, Xiaogang | Yu, Jingkun | Tang, Zhaoyuan | Cheng, Daming

LINC01207 promotes the progression of non-small cell lung cancer via regulating ARHGAP11A by sponging miR-525-5p
Zhang, Bin | Jin, Zhou | Zhang, Hao

Delta-like ligand 4 level in colorectal cancer is associated with tumor aggressiveness and clinical outcome
Zhang, Zixi | Li, Xiao | Yan, Xueli | Qiu, He | Li, Gai | Guo, Xiaowen | Lu, Yan | Yang, Jingyi | Jiao, Min | Chen, Xue | Zhu, Shaojun | Dang, Chengxue | Wang, Weizhong | Chu, Dake

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Most Read CBM Articles in February 2022

Listing the top viewed articles (all published in 2022) via the IOS Press Content Library

Multi-OMICs data analysis identifies molecular features correlating with tumor immunity in colon cancer (Research Article in Vol.33, Iss.2, 2022) – Openly Available
Elsayed, Inas | Elsayed, Nazik | Feng, Qiushi | Sheahan, Kieran | Moran, Bruce | Wang, Xiaosheng

Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery (Research Article in Vol.33, Iss.2, 2022) – Openly Available
Mikdadi, Dina | O’Connell, Kyle A. | Meacham, Philip J. | Dugan, Madeleine A. | Ojiere, Michael O. | Carlson, Thaddeus B. | Klenk, Juergen A.

Identifying Glycolysis-related LncRNAs for predicting prognosis in breast cancer patients (Research Article in pre-press, 2022) – Open Access
Zou, Jiayue | Gu, Yanlin | Zhu, Qi | Li, Xiaohua | Qin, Lei

miRNAs expression pattern and machine learning models elucidate risk for gastric GIST (Research Article in Vol.33, Iss.2, 2022) – Openly Available
Stefanou, Ioannis K. | Dovrolis, Nikolas | Gazouli, Maria | Theodorou, Dimitrios | Zografos, Georgios K. | Toutouzas, Konstantinos G.

Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images (Research Article in Vol.33, Iss.2, 2022) – Openly Available
Qureshi, Touseef Ahmad | Gaddam, Srinivas | Wachsman, Ashley Max | Wang, Lixia | Azab, Linda | Asadpour, Vahid | Chen, Wansu | Xie, Yibin | Wu, Bechien | et al.

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Call For Papers

Publish Where Your Work Will Be Noticed

Submit Today!

As a member of our research community, we would like to invite you to contribute your own articles to the journal.

There are many benefits for contributing authors, including rigorous peer review and rapid processing and online publication (pre-press), and an affordable open access option.

Submit your manuscript online
View the Instructions for Authors
View list of Editorial Board
View full journal contents

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