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Mei J, Wang H, Fan H, Ding J, Xu J. Case Report: Successful Immunotherapy Improved the Prognosis of the Unfavorable Subset of Cancer of Unknown Primary. Front Immunol 2022; 13:900119. [PMID: 35812375 PMCID: PMC9256999 DOI: 10.3389/fimmu.2022.900119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 05/23/2022] [Indexed: 12/15/2022] Open
Abstract
Background Cancer of unknown primary (CUP) is heterogeneous and has a wide variety of clinical presentations and a poor prognosis in most patients, with a median overall survival of only 6 months. The development of molecular profiling contributes to precision therapy, and targeted drugs and immune checkpoint inhibitors (ICIs) greatly promote individualized treatment. Case presentation Here, we reported a case of an unfavorable subset of CUP who had a long time of survival after the immunotherapy-prominent comprehensive treatment. A 48-year-old man presented with back pain and a cough. A diagnostic work-up showed bone marrow, multiple bones, and lymph node metastasis. Lymph node pathology implies metastatic poorly differentiated cancer. Next-generation sequencing (NGS) showed no special targets, but the tumor proportion score (TPS) of programmed death-ligand 1 (PD-L1) was 80% and the tumor mutation burden (TMB) was 16.7 per million bases. After two cycles of pembrolizumab 200 mg D1 plus nanoparticle albumin-bound (nab)-paclitaxel 200 mg D1&8 (q3w), PET-CT and bone marrow aspiration cytology showed a complete response (CR). Subsequently, pembrolizumab alone was used for three months. The left inguinal lymph nodes showed new metastasis. After two cycles of the combination treatment of pembrolizumab and (nab)-paclitaxel, a partial response (PR) was achieved. After seven months, retroperitoneal lymph nodes showed new metastasis, and the sequential treatment with radiotherapy and pembrolizumab exhibited encouraging efficacy. To date, the patient has survived nearly 40 months with the combination therapy. Conclusions The ICI-prominent comprehensive treatment provided clinical benefit for the reported case of CUP. Thus, CUP patients with markers of benefiting from immunotherapy should be actively treated with immunotherapy to improve their prognosis.
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Affiliation(s)
| | | | | | - Junli Ding
- *Correspondence: Junying Xu, ; Junli Ding,
| | - Junying Xu
- *Correspondence: Junying Xu, ; Junli Ding,
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Jin Y, Lin M, Luo Z, Hu X, Zhang J. Development and validation of a nomogram for predicting overall survival of patients with cancer of unknown primary: a real-world data analysis. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:198. [PMID: 33708825 PMCID: PMC7940932 DOI: 10.21037/atm-20-4826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Cancer of unknown primary (CUP) has a variable prognosis and lacks any standard staging systems. We aim to improve the prediction of survival in patients with CUP by constructing a nomogram based on a real-world, population analysis. Methods We performed a population analysis of patients diagnosed with CUP between 2010 and 2016 in the Surveillance, Epidemiology, and End Results (SEER) database. Patients with complete study variables were respectively assigned to training and validation cohorts by diagnostic time. A prognostic nomogram was established based on the multivariate Cox proportional hazards model and was evaluated through calculating the Harrell's C-index and plotting calibration curves. Results In total, 19,543 patients were identified under the selection criteria, and 3,347 cases with complete study variables were included for developing and validating the nomogram. Covariates incorporated in the final nomogram were sex, age, histological type, surgery, radiotherapy, chemotherapy, and the number of metastatic organs. The Harrell's C-index of nomogram was 0.705 (95% CI: 0.692-0.717) for the training cohort and 0.727 (95% CI: 0.703-0.752) for the validation cohort. Conclusions We developed and validated the first nomogram based on a large population, which showed good prediction ability for predicting overall survival of patients with CUP. The risk stratification based on this nomogram could also help clinicians in treatment planning. This nomogram requires further validation in external cohorts, since important clinical factors such as favorable/unfavorable subset, performance status, lactate dehydrogenase, blood cell counts, or metastatic patterns limited to multiple lymph nodes could not be considered due to the lack of availability of these data.
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Affiliation(s)
- Yizi Jin
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Mingxi Lin
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhiguo Luo
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xichun Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian Zhang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Shao Y, Liu X, Hu S, Zhang Y, Li W, Zhou X, Wang Q, Hou Y, Chen Y, Wang Y, Wang Y, Luo Z, Hu X. Sentinel node theory helps tracking of primary lesions of cancers of unknown primary. BMC Cancer 2020; 20:639. [PMID: 32646508 PMCID: PMC7350562 DOI: 10.1186/s12885-020-07042-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 06/04/2020] [Indexed: 11/24/2022] Open
Abstract
Background Sentinel lymph node is the first stop of lymphatic spreading of cancer with known primary. The lymph node metastasis pattern of cancer of unknown primary (CUP) is unclear and has been presumed to follow the same pathway. To test this hypothesis, data of all 716 patients clinically diagnosed as CUP in our center were collected. Methods Diagnoses of lymph node metastasis were established by 18F-FDG PET-CT and/or biopsy pathology. Three hundred and forty-seven cases meeting the criteria were divided into three groups: pathology-confirmed primary with invasive biopsy or surgery of the suspicious lesion (group A, n = 64), primary still unknown even with invasive biopsy or surgery of the suspicious lesion (group B, n = 204), and others with no suspicious lesion or lesions who had not been sampled due to medical or other reasons (group C, n = 79). We assessed the clinicopathological features between these groups, and the relationship between lymph node metastasis pattern and confirmed primary site. Results In group A, the primary sites of 61 cases were compatible with sentinel node theory, resulting in a positive predictive value of 95%. No significant differences in age, sex, bone metastasis, or visceral metastasis observed between group A and group B, except that group A had a higher ratio of differentiated carcinoma (94% vs. 77%, P = 0.003). Conclusion To our knowledge, this is the first evidence indicating that the majority of clinical CUP cases follow the sentinel node theory to spread in lymph nodes, which helps tracking the primary, especially for differentiated carcinoma.
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Affiliation(s)
- Yilin Shao
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China.,Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Xin Liu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China.,Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Silong Hu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Yingjian Zhang
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Wentao Li
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China.,Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Xiaoyan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Qifeng Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Yifeng Hou
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China.,Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yong Chen
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China.,Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yanli Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Yaohui Wang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China.,Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhiguo Luo
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China. .,Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Xichun Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, 270 Dong-an Rd, Shanghai, 200032, China. .,Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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