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The 150 most important questions in cancer research and clinical oncology series: questions 86–93

Overview of attention for article published in Cancer Communications, January 2018
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Title
The 150 most important questions in cancer research and clinical oncology series: questions 86–93
Published in
Cancer Communications, January 2018
DOI 10.1186/s40880-018-0266-3
Pubmed ID
Abstract

Since the beginning of 2017, Chinese Journal of Cancer has published a series of important questions in cancer research and clinical oncology, which spark diverse thoughts, interesting communications, and potential collaborations among researchers all over the world. In this article, 8 more questions are presented as follows. Question 86. In which circumstances is good supportive care associated with a survival advantage in patients with cancer? Question 87. Can we develop animal models to mimic immunotherapy response of cancer patients? Question 88. What are the mechanisms underlying hepatitis B virus-associated non-hepatocellular cancers? Question 89. Can we more precisely target tumor metabolism by identifying individual patients who would benefit from the treatment? Question 90. What type of cranial irradiation-based prophylactic therapy combination can dramatically improve the survival of patients with extensive small-cell lung cancer? Question 91. How can postoperative radiotherapy prolong overall survival of the patients with resected pIIIA-N2 non-small cell lung cancer? Question 92. What are the key molecular events that drive oral leukoplakia or erythroplakia into oral cancer? Question 93. How could we track the chemotherapeutics-driven evolution of tumor genome in non-small cell lung cancer for more effective treatment?

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Professor 2 13%
Student > Bachelor 2 13%
Other 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Medicine and Dentistry 6 40%
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 1 7%
Business, Management and Accounting 1 7%
Unknown 5 33%