Cancer Biomarkers : Section A of Disease Markers This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

High trophinin-associated protein expression predicts good survival in acute myeloid leukemia with normal cytogenetics
CONCLUSION: TROAP could serve as an independent predictor of CN-AML patients and could act as a potential biomarker for the prognosis of CN-AML. TROAP expression levels were closely correlated with the drug sensitivity of multiple drugs.PMID:36938721 | DOI:10.3233/CBM-210042 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Xue He Jing Hu Changjian Yan Xiaoni Liu Yali Zhao Ping Yang Jing Wang Shaoxiang Li Wei Zhang Gehong Dong Weilong Zhang Hongmei Jing Source Type: research

CPT1B, a metabolic molecule, is also an independent risk factor in CN-AML
CONCLUSION: CPT1B is a potential prognostic factor and a therapeutic target for AML treatment.PMID:36938722 | DOI:10.3233/CBM-210043 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Qing Ling Shihui Mao Jiajia Pan Wenwen Wei Yu Qian Fenglin Li Shujuan Huang Wenle Ye Xiangjie Lin Jiansong Huang Jinghan Wang Jie Jin Source Type: research

Identification of therapeutic targets and prognostic biomarkers among CXC chemokines in hepatocellular carcinoma microenvironment
CONCLUSION: CXC chemokines might serve as therapeutic targets and prognostic biomarkers in HCC.PMID:36938723 | DOI:10.3233/CBM-210300 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Zi Yin Tingting Ma Sheng Chen Min Yu Source Type: research

Age is a significant biomarker for the selection of neoadjuvant chemotherapy plus radiotherapy versus concurrent chemoradiotherapy in patients with advanced nasopharyngeal carcinoma
CONCLUSIONS: Age is a significant biomarker when selecting NACT + RT or CCRT alone in patients with advanced NPC.PMID:36938724 | DOI:10.3233/CBM-210357 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Yihong Lin Xiongbin Yu Linbin Lu Hong Chen Junxian Wu Yaying Chen Qin Lin Xuewen Wang Xi Chen Xiong Chen Source Type: research

MKRN1/2 serve as tumor suppressors in renal clear cell carcinoma by regulating the expression of p53
CONCLUSIONS: Our study suggests that MKRN1 and MKRN2 serve as tumor suppressors in KIRC, and act as promising therapeutic targets for KIRC treatment.PMID:36938725 | DOI:10.3233/CBM-210559 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Yun Yang Yanyan Luo Shuting Huang Yonghui Tao Chuanyin Li Chengcheng Wang Source Type: research

Rs9679162 genotype predicts prognosis of real-world advanced hepatocellular carcinoma treated by sorafenib
CONCLUSIONS: The GALNT14-rs9679162 "GG" genotype predicted shorter OS in patients with HBsAg-negative aHCC treated with sorafenib, but predicted a favorable response in all patients with aHCC treated with lenvatinib.PMID:36938726 | DOI:10.3233/CBM-220042 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Chih-Lang Lin Rong-Nan Chien Li-Wei Chen Yu-De Chu Chau-Ting Yeh Source Type: research

The association between pain and WHO grade of pancreatic neuroendocrine neoplasms: A multicenter study
CONCLUSION: Abdominal or back pain is associated with the grade of PNENs. The nomograms based on clinical features may be a powerful numerical tool for predicting the grade of PNENs.PMID:36938727 | DOI:10.3233/CBM-220080 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Cheng Wang Tingting Lin Xin Chen Wenjing Cui Chuangen Guo Zhongqiu Wang Xiao Chen Source Type: research

Prognostic value of an eighteen-genes panel in acute myeloid leukemia by analyzing TARGET and TCGA databases
CONCLUSIONS: This study evaluated a potential prognostic signature with eighteen genes and constructed a risk model significantly related to the prognosis of AML patients.PMID:36938728 | DOI:10.3233/CBM-220179 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Panpan Chen Jiaming Cao Lingling Chen Guanfei Gao Yuanlin Xu Peijun Jia Yan Li Yating Li Jiangfeng Du Shijie Zhang Jingxin Zhang Source Type: research

ScRNA-seq revealed targeting regulator of G protein signaling 1 to mediate regulatory T cells in Hepatocellular carcinoma
CONCLUSIONS: Our findings suggested that RGS1 may regulate Treg function possibly through CXCR4 signaling and RGS1 could be a potential target to improve responses for immunotherapy in HCC.PMID:36938729 | DOI:10.3233/CBM-220226 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Lianhong Zou Kaihua Liu Yongzhong Shi Guowei Li Haiyang Li Chaoxian Zhao Source Type: research

Construction and validation of a prognostic model based on ten signature cell cycle-related genes for early-stage lung squamous cell carcinoma
CONCLUSION: Our model predicted the prognosis of early-stage LSCC patients and demonstrated potential applications for clinical decision-making and individualized therapy.PMID:36938730 | DOI:10.3233/CBM-220227 (Source: Cancer Biomarkers : Section A of Disease Markers)
Source: Cancer Biomarkers : Section A of Disease Markers - March 20, 2023 Category: Cancer & Oncology Authors: Chengpeng Zhang Yong Huang Chen Fang Yingkuan Liang Dong Jiang Jiaxi Li Haitao Ma Wei Jiang Yu Feng Source Type: research