1
|
Ng JY, Ahamed Siddeekh NA, Ismail MI, Abdul Rahman MRB, Md Ali NA. Sarcoma With Pulmonary Metastases: A Management Dilemma. Cureus 2024; 16:e65344. [PMID: 39184605 PMCID: PMC11344477 DOI: 10.7759/cureus.65344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2024] [Indexed: 08/27/2024] Open
Abstract
Pulmonary metastases in soft tissue, such as sarcoma and osteosarcoma, are associated with a poor prognosis. A complete surgical resection has been proven to prolong survival. We report four cases of sarcoma with pulmonary metastases, all with differing progressions, prognoses, and management. This highlights the challenging nature of managing sarcoma with pulmonary metastases. Surgical metastatectomy remains the mainstay treatment for sarcoma with pulmonary metastases. Studies have demonstrated a significant survival benefit with complete surgical resection. There is currently no consensus on the size of the metastasis or the number of lesions for considering a patient inoperable. Surgical metastatectomy provides improved survival for sarcoma patients with pulmonary metastases. Management strategy is rapidly evolving with the emergence of new treatment methods. A case-by-case assessment and MDT approach are paramount in deciding the best course of action.
Collapse
Affiliation(s)
- Juin Yi Ng
- Cardiothoracic Surgery, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, MYS
| | | | | | | | - Nur Ayub Md Ali
- Cardiothoracic Surgery, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, MYS
| |
Collapse
|
2
|
Wieloch M, Hammoudeh S, Stange S, Orban K, Sziklavari Z. The impact of the location, incidence and distribution of lung metastases in primary colorectal and renal cell cancer patients on prognosis: a retrospective observational study. Transl Cancer Res 2024; 13:2346-2356. [PMID: 38881932 PMCID: PMC11170502 DOI: 10.21037/tcr-23-1961] [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: 10/23/2023] [Accepted: 03/12/2024] [Indexed: 06/18/2024]
Abstract
Background Patients with distant metastases have an unfavourable prognosis, but patients with isolated pulmonary metastases should generally not be considered hopeless. Complete resection of metachronous and solitary metastases leads to prolonged survival; however, the influence of the location, distribution and bilaterality of pulmonary metastases needs to be investigated further. This article aimed to investigate the role of the distribution of lung metastases in primary colorectal and renal cell cancer patients on prognosis. Methods We retrospectively investigated the prognosis of patients with pulmonary metastases and colorectal or renal cell carcinoma, defined as the survival time of patients with different metastases. The types of metastases were unilobar, multilobar, unilateral, bilateral, diffuse, synchronous, or metachronous. The secondary outcome of this study was differences in prognosis according to additional criteria. Results Patients with metachronous metastases had significantly greater median survival than patients with synchronous metastases. There was a statistically significant difference in median survival between patients with unilateral (better survival) and patients with bilateral (worse survival) lung metastases. In patients with renal cell carcinoma, a statistically significant difference in median survival time was detected for patients with unilateral metastases. A significantly longer median survival time was observed in patients without diffuse metastases. A significantly greater median survival time was detected in patients with no thoracic nodal involvement. Moreover, there was no statistically significant difference in the median survival time for patients with colorectal versus renal cell carcinoma in general or for those with lung metastases. No statistically significant difference in median survival time was detected for patients according to single or multiple lung metastases, additional tumours or metastases during disease, the distance of residence from a specialized clinic in Coburg, sex, smoking or adipocytes, multimorbidity, immunosuppression or different cancer treatments. Conclusions For a minority of patients, pulmonary resection is a chance for prolonged survival. The perioperative mortality rate after metastasectomy is less than five percent. Patients with metachronous and unilateral lung metastases should be evaluated for surgery. Patients with diffuse metastases or lymph node involvement have a significantly shorter median survival time. Decision-making should be interdisciplinary.
Collapse
Affiliation(s)
- Melissa Wieloch
- Department of Anaesthesiology, Hospital Bergmannstrost, Halle, Germany
| | - Sameer Hammoudeh
- Department of Thoracic Surgery, REGIOMED Hospital Coburg, Coburg, Germany
| | - Sebastian Stange
- Department of Thoracic Surgery, REGIOMED Hospital Coburg, Coburg, Germany
| | - Karoly Orban
- Department of Thoracic Surgery, REGIOMED Hospital Coburg, Coburg, Germany
| | - Zsolt Sziklavari
- Department of Thoracic Surgery, REGIOMED Hospital Coburg, Coburg, Germany
| |
Collapse
|
3
|
Franzese C, Marini B, Baldaccini D, Badalamenti M, Navarria P, Bellu L, Franceschini D, Comito T, Clerici E, Teriaca MA, Massaro M, Di Cristina L, Lo Faro L, Tomatis S, Scorsetti M. The impact of stereotactic ablative radiotherapy on oligoprogressive metastases from renal cell carcinoma. J Cancer Res Clin Oncol 2023; 149:4411-4417. [PMID: 36109401 DOI: 10.1007/s00432-022-04352-z] [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: 08/24/2022] [Accepted: 09/07/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Renal cell carcinoma (RCC) represents 80-90% of all kidney tumors and about 15-25% of patients will develop distant metastases. Systemic therapy represents the standard of care for metastatic patients, but stereotactic ablative radiotherapy (SABR) may play a relevant role in the oligoprogressive setting, defined as the progression of few metastases during an ongoing systemic therapy on a background of otherwise stable disease. Aim of the present study was to analyze the outcome of RCC patients treated with SABR on oligoprogressive metastases. MATERIALS AND METHODS In this monocenter study, we analyzed patients affected by RCC treated with SABR on a maximum of 5 cranial or extracranial oligoprogressive sites of disease. Endpoints were overall survival (OS), progression-free survival (PFS), and toxicity. RESULTS We included 74 oligoprogressions (26 intracranial and 48 extracranial) and 57 SABR treatments in 44 patients. Most common concomitant treatments were sunitinib (28, 49.1%), pazopanib (12, 21.0%) and nivolumab (11, 19.3%). Median follow-up was 19.0 months, and 1- and 2-year OS rates were 79.2% and 57.3%, respectively. Repeated SABR was a positive predictive factor for OS (p = 0.034). Median PFS was 9.8 months, with 1- and 2-year rates of 43.2% and 25.8%. At multivariable analysis, disease-free interval (p = 0.022) and number of treated metastases (p = 0.007) were significant for PFS. About 80% of patients continued the ongoing systemic therapy 1- and 2-years after SABR with no grade 3 or 4 toxicities. CONCLUSIONS we confirmed the efficacy and safety of SABR for oligoprogression from RCC, with the potential to ablate resistant metastases and to prolong the ongoing systemic therapy.
Collapse
Affiliation(s)
- Ciro Franzese
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy.
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
| | - Beatrice Marini
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Davide Baldaccini
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Marco Badalamenti
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Pierina Navarria
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Luisa Bellu
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Davide Franceschini
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Tiziana Comito
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Elena Clerici
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Maria Ausilia Teriaca
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Maria Massaro
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Luciana Di Cristina
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Lorenzo Lo Faro
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Stefano Tomatis
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Milan, Italy
- Deparment of Radiotherapy and Radiosurgery, Humanitas Research Hospital IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| |
Collapse
|
4
|
Surgical Approach in Metastatic Renal Cell Carcinoma: A Literature Review. Cancers (Basel) 2023; 15:cancers15061804. [PMID: 36980688 PMCID: PMC10046362 DOI: 10.3390/cancers15061804] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/02/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023] Open
Abstract
The treatment of metastatic renal cell carcinoma has undergone considerable advances in the last two decades. Cytoreductive nephrectomy and metastasectomy retains a role in patients with a limited metastatic burden. The choice of optimal treatment regimen remains a matter of debate. The article summarises the current role of surgery in metastatic kidney cancer.
Collapse
|
5
|
Chen Y, Yuan E, Sun G, Song B, Yao J. Delta Radiomics Model Predicts Lesion-Level Responses to Tyrosine Kinase Inhibitors in Patients with Advanced Renal Cell Carcinoma: A Preliminary Result. J Clin Med 2023; 12:1301. [PMID: 36835837 PMCID: PMC9966873 DOI: 10.3390/jcm12041301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/23/2023] [Accepted: 02/02/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND This study aimed to develop and internally validate computed tomography (CT)-based radiomic models to predict the lesion-level short-term response to tyrosine kinase inhibitors (TKIs) in patients with advanced renal cell carcinoma (RCC). METHODS This retrospective study included consecutive patients with RCC that were treated using TKIs as the first-line treatment. Radiomic features were extracted from noncontrast (NC) and arterial-phase (AP) CT images. The model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA). RESULTS A total of 36 patients with 131 measurable lesions were enrolled (training: validation = 91: 40). The model with five delta features achieved the best discrimination capability with AUC values of 0.940 (95% CI, 0.890‒0.990) in the training cohort and 0.916 (95% CI, 0.828‒1.000) in the validation cohort. Only the delta model was well calibrated. The DCA showed that the net benefit of the delta model was greater than that of the other radiomic models, as well as that of the treat-all and treat-none criteria. CONCLUSIONS Models based on CT delta radiomic features may help predict the short-term response to TKIs in patients with advanced RCC and aid in lesion stratification for potential treatments.
Collapse
Affiliation(s)
- Yuntian Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610000, China
| | - Enyu Yuan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610000, China
| | - Guangxi Sun
- Department of Urology, West China Hospital, Sichuan University, Chengdu 610017, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610000, China
- Department of Radiology, Sanya People’s Hospital, Sanya 572000, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610000, China
| |
Collapse
|
6
|
Higuchi R, Goto T, Nakagomi T, Hirotsu Y, Oyama T, Amemiya K, Mochizuki H, Omata M. Discrimination Between Primary Lung Cancer and Lung Metastases by Genomic Profiling. JTO Clin Res Rep 2021; 2:100255. [PMID: 34877557 PMCID: PMC8633675 DOI: 10.1016/j.jtocrr.2021.100255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 09/18/2021] [Accepted: 11/04/2021] [Indexed: 11/28/2022] Open
Abstract
Introduction In cases of lung tumors that occur after treatment for malignancies in other organs, the tumor may represent either a primary lung cancer or a solitary pulmonary metastasis from the other tumor. Because some lung tumors are difficult to differentiate on the basis of imaging and pathologic findings, treatment selection is often difficult. In this study, we attempted to make a genomic diagnosis of primary and metastatic lung tumors by analyzing tumor samples using next-generation sequencing and evaluated the efficacy and validity of the genomic diagnosis. Methods A total of 24 patients with a solitary lung nodule and a history of other malignancies were enrolled in this study. Tumor cells were selected from tissue samples using laser capture microdissection. DNA was extracted from those cells and subjected to targeted deep sequencing of 53 genes. Results The driver mutation profiles of the primary lung tumors were discordant from those of the primary tumors in other sites, whereas the mutation profiles of pulmonary metastases and previous malignancies were concordant. In all 24 patients, we could diagnose either primary lung cancer (six patients) or lung metastases (18 patients) on the basis of whether gene mutation profiles were concordant or discordant. In 12 patients (50.0%), discrepancies were observed between the genomic and clinical or histopathologic diagnoses. Conclusions In patients with a solitary lung lesion and a history of cancer, tumor-specific mutations can serve as clonal markers, affording a more accurate understanding of the pathological condition and thus possibly improving both treatment selection and patient outcome.
Collapse
Affiliation(s)
- Rumi Higuchi
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Takahiro Nakagomi
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Yosuke Hirotsu
- Genome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Toshio Oyama
- Department of Pathology, Yamanashi Central Hospital, Yamanashi, Japan
| | - Kenji Amemiya
- Genome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Hitoshi Mochizuki
- Genome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Masao Omata
- Genome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan.,Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| |
Collapse
|
7
|
Zhang B, Wu Q, Qiu X, Ding X, Wang J, Li J, Sun P, Hu X. Effect of spectral CT on tumor microvascular angiogenesis in renal cell carcinoma. BMC Cancer 2021; 21:874. [PMID: 34330234 PMCID: PMC8325217 DOI: 10.1186/s12885-021-08586-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 07/13/2021] [Indexed: 12/12/2022] Open
Abstract
Background To examine the value of energetic-spectrum computed tomography (spectral CT) quantitative parameters in renal cell carcinoma (RCC) microvascular angiogenesis. Methods The authors evaluated 32 patients with pathologically confirmed RCC who underwent triple-phase contrast-enhanced CT with spectral CT imaging mode from January 2017 to December 2019. Quantitative parameters include parameters derived from iodine concentration (IC) and water concentration (WC) of 120 keV monochromatic images. All specimens were evaluated including the microvascular density (MVD), microvascular area (MVA) and so on. The correlation between IC and WC (including average values and random values) with microvascular parameters were analyzed with Pearson or Spearman rank correlation coefficients. Results The MVD of all tumors was 26.00 (15.00–43.75) vessels per field at × 400 magnification. The MVD of RCC correlated positively with the mean IC, mean WC, mean NWC, mean NIC, random IC, random NIC in renal cortical phase, WCD1, WCD2, NWCD2 and ICD1 (Spearman rank correlation coefficients, r range, 0.362–0.533; all p < 0.05). The MVA of all tumors was (16.16 ± 8.98) % per field at × 400 magnification. The MVA of RCC correlated positively with the mean IC, mean WC, mean NWC, mean NIC, random IC, random NIC in renal cortical, mean WC and mean NWC in renal parenchymal phase, WCD1, WCD2, WCD3, NWCD2, and NWCD3 (Pearson or Spearman rank correlation coefficients, r range, 0.357–0.576; all p < 0.05). Microvascular grading correlated positively with the mean NWC, mean NIC and random NIC in renal cortical phase, mean NWC in renal parenchymal phase, NWCD2, WCD3, NWCD3, NICD2 and NICD3 (Spearman rank correlation coefficients, r range, 0.367–0.520; all p < 0.05). As for tumor diameter (55.19 ± 19.15), μm, only NWCD3 was associated with it (Spearman rank correlation coefficients, r = 0.388; p < 0.05). Conclusions ICD and WCD of spectral CT have a potential for evaluating RCC microvascular angiogenesis. MVD, MVA and microvascular grade showed moderate positive correlation with ICD and WCD. ICD displayed more relevant than that of WCD. The parameters of renal cortical phase were the best in three phases. NICD and NWCD manifested stronger correlation with microvascular parameters than that of ICD and WCD.
Collapse
Affiliation(s)
- Bei Zhang
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Qiong Wu
- Department of Pathology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Xiang Qiu
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Xiaobo Ding
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Jin Wang
- Department of Urology Surgery, First Hospital of Jilin University, Changchun, China
| | - Jing Li
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Pengfei Sun
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Xiaohan Hu
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China.
| |
Collapse
|