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Hajdu SI. Pathfinders in oncology from the first clinical use of single-agent chemotherapy to the introduction of mammography. Cancer 2021; 127:12-26. [PMID: 33095913 DOI: 10.1002/cncr.33223] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/01/2020] [Accepted: 09/03/2020] [Indexed: 01/18/2023]
Abstract
During the period from 1942 to 1962, treatment attempts with single-agent chemotherapy such as nitrogen mustard and urethan gained limited application. However, the groundbreaking success with aminopterin in the treatment of patients with pediatric acute leukemia and methotrexate in the treatment of gestational choriocarcinoma established single-agent chemotherapy as a pioneering contribution to oncology. The landmark discovery that early-stage Hodgkin disease is curable with radiation made radiotherapy into an essential specialty of oncology. Although radical surgical treatment dominated the field of surgery, the excision of localized cancers with or without adjuvant radiation emerged as new modality in therapy. Cytopathology and surgical pathology became new fields in medicine and pathologists became an integral part of the preoperative, intraoperative, and postoperative care of patients with cancer. The discovery of multiple new drugs demonstrated promising results and widened the field of oncology from the laboratory to the clinic. In the etiology of cancer, precancerous conditions were named and carcinoma of the lung was definitively linked to cigarette smoking. All things considered, the progress made between 1942 and 1962 came about through the dedicated work of many individuals. However, there were 7 distinguished pathfinders (2 pathologists, 1 pediatric pathologist-oncologist, 1 radiation therapist, 1 physician-actuary, 1 gynecologist-oncologist, and 1 chemist) who, despite their different backgrounds, interests, and sex, made groundbreaking contributions to oncology.
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Yang D, Zhang X, Powell CA, Ni J, Wang B, Zhang J, Zhang Y, Wang L, Xu Z, Zhang L, Wu G, Song Y, Tian W, Hu JA, Zhang Y, Hu J, Hong Q, Song Y, Zhou J, Bai C. Probability of cancer in high-risk patients predicted by the protein-based lung cancer biomarker panel in China: LCBP study. Cancer 2017; 124:262-270. [PMID: 28940455 DOI: 10.1002/cncr.31020] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 08/17/2017] [Accepted: 08/21/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND The authors built a model for lung cancer diagnosis previously based on the blood biomarkers progastrin-releasing peptide (ProGRP), carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCC), and cytokeratin 19 fragment (CYFRA21-1). In the current study, they examined whether modification of the model to include relevant clinical information, risk factors, and low-dose chest computed tomography screening would improve the performance of the biomarker panel in large cohorts of Chinese adults. METHODS The current study was a large-scale multicenter study (ClinicalTrials.gov identifier NCT01928836) performed in a Chinese population. A total of 715 participants were enrolled from 5 regional centers in Beijing, Henan, Nanjing, Shanghai, and Chongqing between October 2012 and February 2014. Serum biomarkers ProGRP, CEA, SCC, and CYFRA21-1 were analyzed on the ARCHITECT i2000SR. Relevant clinical information was collected and used to develop a patient risk model and a nodule risk model. RESULTS The resulting patient risk model had an area under the receiver operating characteristic (ROC) curve of 0.7037 in the training data set and 0.7190 in the validation data set. The resulting nodule risk model had an area under the ROC curve of 0.9151 in the training data set and 0.5836 in the validation data set. Moreover, the nodule risk model had a relatively higher area under the ROC curve (0.9151 vs 0.8360; P = 0.001) compared with the American College of Chest Physician model in patients with lung nodules. CONCLUSIONS Both the patient risk model and the nodule risk model, developed for the early diagnosis of lung cancer, demonstrated excellent discrimination, allowing for the stratification of patients with different levels of lung cancer risk. These new models are applicable in high-risk Chinese populations. Cancer 2018;124:262-70. © 2017 American Cancer Society.
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Affiliation(s)
- Dawei Yang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China
| | - Xiaoju Zhang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Henan Provincial People's Hospital, Zhengzhou, China
| | - Charles A Powell
- Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jun Ni
- Chinese Alliance Against Lung Cancer, China.,Department of Oncology, Peking University International Hospital, Beijing, China
| | - Bin Wang
- Chinese Alliance Against Lung Cancer, China.,Third Military Medical University, Chongqing, China
| | - Jianya Zhang
- Chinese Alliance Against Lung Cancer, China.,Nanjing People's Liberation Army General Hospital, Nanjing, China
| | - Yafei Zhang
- Chinese Alliance Against Lung Cancer, China.,The Chest Hospital of Henan Province, Zhengzhou, China
| | - Lijie Wang
- Shanghai Second Military College, Shanghai, China
| | - Zhihong Xu
- Chinese Alliance Against Lung Cancer, China.,Department of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Zhang
- Chinese Alliance Against Lung Cancer, China.,Peking Union Medical College Hospital, Beijing, China
| | - Guoming Wu
- Chinese Alliance Against Lung Cancer, China.,Third Military Medical University, Chongqing, China
| | - Yong Song
- Chinese Alliance Against Lung Cancer, China.,Nanjing People's Liberation Army General Hospital, Nanjing, China
| | - Wenhua Tian
- Shanghai Second Military College, Shanghai, China
| | - Jia-An Hu
- Chinese Alliance Against Lung Cancer, China.,Department of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong Zhang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China
| | - Jie Hu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China
| | - Qunying Hong
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China
| | - Jian Zhou
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China
| | - Chunxue Bai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Chinese Alliance Against Lung Cancer, China.,Shanghai Respiratory Research Institution, Shanghai, China.,State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
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