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American Journal of Cancer Research|June 13, 2022
The potential and limitation of targeted chromosomal breakpoint sequencing for the ROS1 fusion gene identification in lung cancerMing-Szu Hung, Yu-Ching Lin, Fen-Fen Chen, et al.
American Journal of Cancer Research|June 13, 2022
Improved survival with induction chemotherapy and conversion surgery in locally advanced unresectable pancreatic cancer: a single institution experienceYung-Yeh Su, Yu-Lin Ting, Chih-Jung Wang, et al.
American Journal of Cancer Research|June 13, 2022
hsa_circ_0001741 promotes esophageal squamous cell carcinoma stemness, invasion and migration by sponging miR-491-5p to upregulate NOTCH3 expressionLin Li, Kai Lei, Yingcheng Lyu, et al.
American Journal of Cancer Research|June 13, 2022
Long noncoding RNA UCA1 promotes carboplatin resistance in retinoblastoma cells by acting as a ceRNA of miR-206Nanye Wang, Huimin Fan, Shuhua Fu, et al.
American Journal of Cancer Research|June 13, 2022
Prognostic implication of early minimal residual disease evaluation in patients with chronic myelomonocytic leukemiaLulu Wang, Rongrong Chen, Li Li, et al.
American Journal of Cancer Research|June 13, 2022
Emerging roles of exosome-derived biomarkers in cancer theranostics: messages from novel protein targetsJiongjia Cheng, Xiaofeng Wang, Xuechun Yuan, et al.
American Journal of Cancer Research|June 13, 2022
Targeting the methionine addiction of cancerJoni C Sedillo, Vincent L Cryns
American Journal of Cancer Research|June 13, 2022
Bioinformatics analysis of potential Key lncRNA-miRNA-mRNA molecules as prognostic markers and important ceRNA axes in gastric cancerSiqi Tang, Keyong Liao, Yongpeng Shi, et al.
American Journal of Cancer Research|July 11, 2022
Comparison of portal and capsular microscopic vascular invasion in the outcomes of early HCC after curative resectionDing-Sen Huang, Ting-Ting Liu, Wei-Ting Lu, et al.
American Journal of Cancer Research|July 11, 2022
5-year recurrence prediction after hepatocellular carcinoma resection: deep learning vs. Cox regression modelsHon-Yi Shi, King-The Lee, Chong-Chi Chiu, et al.
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