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Fujiwara M, Shimada W, Yokoyama M, Koyanagi A, Shintaku H, Fukuda S, Waseda Y, Tanaka H, Yoshida S, Fujii Y. Durable response to nivolumab rechallenge in a patient with metastatic clear cell renal cell carcinoma. IJU Case Rep 2024; 7:293-296. [PMID: 38966764 PMCID: PMC11221937 DOI: 10.1002/iju5.12727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/26/2024] [Indexed: 07/06/2024] Open
Abstract
Introduction While immune checkpoint inhibitors represent the mainstream treatment for metastatic renal cell carcinoma, a standardized approach following immune checkpoint inhibitors remains unclear. We report a case of metastatic renal cell carcinoma treated with nivolumab rechallenge. Case presentation A 60-year-old male with metastatic melanoma was referred to the urology division due to right renal cancer. He was undergoing nivolumab treatment for metastatic melanoma. Radical nephrectomy revealed clear cell renal cell carcinoma, pT3a. Two months post-surgery, multiple metastases were identified. Despite subsequent administration of interferon-α, axitinib, and temsirolimus, the metastases progressed. Consequently, nivolumab rechallenge and palliative radiotherapy were initiated, resulting in a durable response for 20 months. However, disease progression occurred, and he died of cancer 4 years after nephrectomy. Conclusion This is the first report of nivolumab rechallenge in metastatic renal cell carcinoma. Although the utility remains unclear, this case suggests that some patients may benefit from nivolumab rechallenge.
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Affiliation(s)
| | - Wataru Shimada
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
| | - Minato Yokoyama
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
| | - Anri Koyanagi
- Department of Comprehensive Pathology, Graduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityTokyoJapan
| | - Hiroshi Shintaku
- Division of Surgical PathologyTokyo Medical and Dental University HospitalTokyoJapan
| | - Shohei Fukuda
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
| | - Yuma Waseda
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
| | - Hajime Tanaka
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
| | - Soichiro Yoshida
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
| | - Yasuhisa Fujii
- Department of UrologyTokyo Medical and Dental UniversityTokyoJapan
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Liu C, Cheng X, Han K, Hong L, Hao S, Sun X, Xu J, Li B, Jin D, Tian W, Jin Y, Wang Y, Fang W, Bao X, Zhao P, Chen D. A novel molecular subtyping based on multi-omics analysis for prognosis predicting in colorectal melanoma: A 16-year prospective multicentric study. Cancer Lett 2024; 585:216663. [PMID: 38246221 DOI: 10.1016/j.canlet.2024.216663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/13/2024] [Accepted: 01/18/2024] [Indexed: 01/23/2024]
Abstract
Colorectal melanoma (CRM) is a rare malignant tumor with severe complications, and there is currently a lack of systematic research. We conducted a study that combined proteomics and mutation data of CRM from a cohort of three centers over a 16-years period (2005-2021). The patients were divided into a training set consisting of two centers and a testing set comprising the other center. Unsupervised clustering was conducted on the training set to form two molecular subtypes for clinical characterization and functional analysis. The testing set was used to validate the survival differences between the two subtypes. The comprehensive analysis identified two subtypes of CRM: immune exhausted C1 cluster and DNA repair C2 cluster. The former subtype exhibited characteristics of metabolic disturbance, immune suppression, and poor prognosis, along with APC mutations. A machine learning algorithm named Support Vector Machine (SVM) was applied to predict the classification of CRM patients based on protein expression in the external testing cohort. Two subtypes of primary CRM with clinical and proteomic characteristics provides a reference for subsequent diagnosis and treatments.
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Affiliation(s)
- Chuan Liu
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Xiaofei Cheng
- Department of Colorectal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Kai Han
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Libing Hong
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China; The Second Clinical School, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Shuqiang Hao
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Xuqi Sun
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Jingfeng Xu
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Benfeng Li
- Department of Colorectal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Dongqing Jin
- Department of Colorectal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Weihong Tian
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, 212013, People's Republic of China
| | - Yuzhi Jin
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Yanli Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Weijia Fang
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China
| | - Xuanwen Bao
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China.
| | - Peng Zhao
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China.
| | - Dong Chen
- Department of Colorectal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China.
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Gan J, Liu M, Liu F, Wen J, Fu W, Jia J. Synchronous double primary small cell lung cancer and invasive ductal breast carcinoma: a case report. BMC Pulm Med 2024; 24:93. [PMID: 38388422 PMCID: PMC10885399 DOI: 10.1186/s12890-024-02897-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Although lung and breast cancers are common malignancies, the occurrence of primary synchronous neoplasms involving these organs has been rarely reported in literature. CASE PRESENTATION A 75-year-old female patient presented at a local hospital with a ten-day history of dizziness and slurred speech. A CT contrast-enhanced scan revealed a 4.2 cm mass in the lower lobe of the right lung and a 3.8 cm space-occupying lesion in the right breast. Subsequent breast ultrasound identified a hypoechoic lesion measuring5.41 × 4.75 × 3.06 cm in the right breast, and an ultrasound-guided biopsy confirmed the presence of infiltrating ductal carcinoma of the right breast. The immunohistochemistry analysis of the breast mass revealed positive staining for ER, PR, HER-2, AR and Ki67 in the tumor cells, while negative staining was observed for P63, Calponin, CK5/6 and CK14. MR imaging of the head detected abnormal signals in the right frontal lobe (3.6 cm×2.9 cm in size), left cerebellar hemisphere, and punctate enhancement in the left temporal lobe, indicating potential metastasis. Pathological examination of a lung biopsy specimen confirmed the presence of small cell lung cancer (SCLC). Furthermore, immunohistochemistry analysis of the lung lesions demonstrated positive staining for TTF-1, CK-Pan, Syn, CgA, CD56, P53 (90%) and Ki67 (70%), and negative staining for NapsinA and P40 in the tumor cells. The patient's diagnosis of SCLC with stage cT2bN0M1c IVB and brain metastases (BM), as well as invasive ductal breast carcinoma (IDC), was confirmed based on the aforementioned results. Whereupon we proposed a treatment plan consisting of whole-brain radiation (40 Gy/20fractions), focal radiotherapy (60 Gy/20fractions), and adjuvant concurrent chemotherapy with oral etoposide (50 mg on days 1 to 20). CONCLUSIONS To the best of our knowledge, the present case is the first of its kind to describe the synchronous double cancer, consisting of primary SCLC and IDC.
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Affiliation(s)
- Junqing Gan
- Department of Chemoradiation, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China
| | - Meiyue Liu
- Department of Chemoradiation, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China
| | - Fei Liu
- Department of Radiotherapy, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China
| | - Junxiu Wen
- Department of Pathology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China
| | - Wenjuan Fu
- Department of Chemoradiation, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China
| | - Jinghao Jia
- Department of Chemoradiation, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei, China.
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