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Bartolomeo V, Jongbloed M, van de Worp WRPH, Langen R, Degens J, Hendriks LEL, de Ruysscher DKM. Cachexia and Sarcopenia in Oligometastatic Non-Small Cell Lung Cancer: Making a Potential Curable Disease Incurable? Cancers (Basel) 2024; 16:230. [PMID: 38201657 PMCID: PMC10777972 DOI: 10.3390/cancers16010230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/25/2023] [Accepted: 01/01/2024] [Indexed: 01/12/2024] Open
Abstract
Among patients with advanced NSCLC, there is a group of patients with synchronous oligometastatic disease (sOMD), defined as a limited number of metastases detected at the time of diagnosis. As cachexia and sarcopenia are linked to poor survival, incorporating this information could assist clinicians in determining whether a radical treatment should be administered. In a retrospective multicenter study, including all patients with adequately staged (FDG-PET, brain imaging) sOMD according to the EORTC definition, we aimed to assess the relationship between cachexia and/or sarcopenia and survival. Of the 439 patients that were identified between 2015 and 2021, 234 met the criteria for inclusion and were included. The median age of the cohort was 67, 52.6% were male, and the median number of metastasis was 1. Forty-six (19.7%) patients had cachexia, thirty-four (14.5%) had sarcopenia and twenty-one (9.0%) had both. With a median follow-up of 49.7 months, median PFS and OS were 8.6 and 17.3 months, respectively. Moreover, a trend toward longer PFS was found in patients without cachexia and sarcopenia compared to those with cachexia and/or sarcopenia. In multivariate analysis, cachexia and sarcopenia were not associated with an inferior survival, irrespective of receiving radical treatment. High CRP was associated with inferior survival and could be a prognostic factor, helping the decision of clinicians in selecting patients who may benefit from the addition of LRT. However, despite the homogeneous definition of oligometastatic disease and the adequate staging, our subgroups were small. Therefore, further studies are needed to better understand our hypothesis and generating findings.
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Affiliation(s)
- Valentina Bartolomeo
- Radiation Oncology, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
- Department of Clinical Surgical, Diagnostic and Pediatric Sciences, Pavia University, 27100 Pavia, Italy
- Department of Radiation Oncology (Maastro Clinic), GROW—School for Oncology and Reproduction, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands;
| | - Mandy Jongbloed
- Department of Pulmonary Diseases, GROW—School for Oncology and Reproduction, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands; (M.J.); (L.E.L.H.)
| | - Wouter R. P. H. van de Worp
- Department of Respiratory Medicine, NUTRIM Research Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Ramon Langen
- Department of Respiratory Medicine, NUTRIM Research Institute of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Juliette Degens
- Department of Pulmonology, Zuyderland Medical Center, 6419 PC Heerlen, The Netherlands;
| | - Lizza E. L. Hendriks
- Department of Pulmonary Diseases, GROW—School for Oncology and Reproduction, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands; (M.J.); (L.E.L.H.)
| | - Dirk K. M. de Ruysscher
- Department of Radiation Oncology (Maastro Clinic), GROW—School for Oncology and Reproduction, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands;
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Isaka T, Ito H, Yokose T, Saito H, Narimatsu H, Adachi H, Miura J, Murakami K, Kikunishi N, Shigeta N, Rino Y. Long-term changes in psoas muscle mass after lobectomy and segmentectomy for early-stage lung cancer. J Cachexia Sarcopenia Muscle 2023; 14:2540-2549. [PMID: 37740651 PMCID: PMC10751413 DOI: 10.1002/jcsm.13328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 05/12/2023] [Accepted: 08/21/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND Segmentectomy is considered a less invasive procedure than lobectomy for patients with non-small cell lung cancer (NSCLC); however, little is known about the physiological mechanism underlying the lower invasiveness of segmentectomy. This study is aimed to compare the differences in the long-term changes in the psoas muscle mass after segmentectomy and lobectomy in patients with NSCLC. METHODS Overall 315 recurrence-free patients who underwent segmentectomy (n = 93) or lobectomy (n = 222) for clinical stage 0-I NSCLC between January 2016 and December 2018 and underwent computed tomography during the entire period of 6 months ≤ postoperative year (POY) 0.5 < 12 months, 12 months ≤ POY 1 < 24 months, 24 months ≤ POY 2 < 36 months, and 36 months ≤ POY 3 < 48 months were included. Bilateral psoas muscle area (PMA) at the L3 level was measured using each cross-sectional computed tomography scan. Differences between the segmentectomy and lobectomy groups in the mean change of postoperative PMA from the preoperative period were analysed using Student's t-test and mixed analysis of variance. Multivariable analysis was performed to identify the risk factors for PMA loss on POY 3 using logistic regression analysis. RESULTS The lobectomy group had a significantly larger PMA change than the segmentectomy group during each postoperative period (P < 0.001). Mixed analysis of variance revealed that the mean PMA change was significantly smaller in the segmentectomy group than in the lobectomy group during the observation period (P < 0.001). The mean change in the PMA was significantly larger from POY1 (-2.5%) to POY2 (-3.9%) and POY3 (-4.7%) in the lobectomy group (P = 0.003 and P < 0.001). However, PMA remained unchanged during the postoperative observation period in the segmentectomy group. In the multivariable analysis, the risk factors for PMA change ≤-3.3% (cut-off: mean change of PMA) at POY3 included lobectomy [odds ratio (OR), 3.32; 95% confidence interval (CI), 1.90-5.82; P < 0.001], male sex (OR, 1.92; 95% CI, 1.02-3.62; P = 0.044) and open thoracotomy (OR, 1.84; 95% CI, 1.11-3.05; P = 0.017). After propensity score matching, the mean change in PMA was smaller in the segmentectomy group (n = 75) than in the lobectomy group (n = 75) during the postoperative observation period (P < 0.001). CONCLUSIONS Psoas muscle mass was better maintained during the postoperative period by segmentectomy than by lobectomy. Psoas muscle mass reduction progressed over a long postoperative period after lobectomy. Segmentectomy via complete video-assisted thoracic surgery is associated with a lower likelihood of sarcopenia progression.
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Affiliation(s)
- Tetsuya Isaka
- Department of Thoracic SurgeryKanagawa Cancer CenterYokohamaJapan
- Department of SurgeryYokohama City UniversityYokohamaJapan
| | - Hiroyuki Ito
- Department of Thoracic SurgeryKanagawa Cancer CenterYokohamaJapan
| | | | - Haruhiro Saito
- Department of Thoracic OncologyKanagawa Cancer CenterYokohamaJapan
| | - Hiroto Narimatsu
- Department of Genetic MedicineKanagawa Cancer CenterYokohamaJapan
- Cancer Prevention and Cancer Control DivisionKanagawa Cancer Center Research InstituteYokohamaJapan
- Graduate School of Health InnovationKanagawa University of Human ServicesKawasakiJapan
| | - Hiroyuki Adachi
- Department of Thoracic SurgeryKanagawa Cancer CenterYokohamaJapan
| | - Jun Miura
- Department of Thoracic SurgeryKanagawa Cancer CenterYokohamaJapan
| | - Kotaro Murakami
- Department of Thoracic SurgeryKanagawa Cancer CenterYokohamaJapan
| | | | - Naoko Shigeta
- Department of Thoracic SurgeryKanagawa Cancer CenterYokohamaJapan
| | - Yasushi Rino
- Department of SurgeryYokohama City UniversityYokohamaJapan
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Pei X, Xie Y, Liu Y, Cai X, Hong L, Yang X, Zhang L, Zhang M, Zheng X, Ning K, Fang M, Tang H. Imaging-based adipose biomarkers for predicting clinical outcomes of cancer patients treated with immune checkpoint inhibitors: a systematic review. Front Oncol 2023; 13:1198723. [PMID: 37916163 PMCID: PMC10616831 DOI: 10.3389/fonc.2023.1198723] [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: 04/02/2023] [Accepted: 10/02/2023] [Indexed: 11/03/2023] Open
Abstract
Background Since the application of Immune checkpoint inhibitors (ICI), the clinical outcome for metastatic cancer has been greatly improved. Nevertheless, treatment response varies in patients, making it urgent to identify patients who will receive clinical benefits after ICI therapy. Adipose body composition has proved to be associated with tumor response. In this systematic review, we aimed to summarize the current evidence on imaging adipose biomarkers that predict clinical outcomes in patients treated with ICI in various cancer types. Methods Embase and PubMed were searched from database inception to 1st February 2023. Articles included investigated the association between imaging-based adipose biomarkers and the clinical outcomes of patients treated with ICI. The methodological quality of included studies was evaluated through Newcastle- Ottawa Quality Assessment Scale and Radiomics Quality Score tools. Results Totally, 22 studies including 2256 patients were selected. Non-small cell lung cancer (NSCLC) had the most articles (6 studies), followed by melanoma (5 studies), renal cell carcinoma (RCC) (3 studies), urothelial carcinoma (UC) (2 studies), head and neck squamous cell carcinoma (HNSCC) (1 study), gastric cancer (1 study) and liver cancer (1 study). The remaining 3 studies investigated metastatic solid tumors including various types of cancers. Adipose biomarkers can be summarized into 5 categories, including total fat, visceral fat, subcutaneous fat, intramuscular fat and others, which exerted diverse correlations with patients' prognosis after being treated with ICI in different cancers. Most biomarkers of body fat were positively associated with survival benefits. Nevertheless, more total fat was predictable of worse outcomes in NSCLC, while inter-muscular fat was associated with poor clinical benefits in UC. Conclusion There is relatively well-supported evidence for imaging-based adipose biomarkers to predict the clinical outcome of ICI. In general, most of the studies show that adipose tissue is positively correlated with clinical outcomes. This review summarizes the significant biomarkers proven by researches for each cancer type. Further validation and large independent prospective cohorts are needed in the future. The protocol of this systematic review has been registered at the International Prospective Register of Systematic Reviews (http://www.crd.york.ac.uk/PROSPERO, registration no: CRD42023401986).
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Affiliation(s)
- Xinyu Pei
- Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ye Xie
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yixuan Liu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xinyang Cai
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Lexuan Hong
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xiaofeng Yang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Luyao Zhang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Manhuai Zhang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xinyi Zheng
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Kang Ning
- Department of Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Mengyuan Fang
- Department of Ultrasound, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China
| | - Huancheng Tang
- Department of Urology, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
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Decazes P, Ammari S, Belkouchi Y, Mottay L, Lawrance L, de Prévia A, Talbot H, Farhane S, Cournède PH, Marabelle A, Guisier F, Planchard D, Ibrahim T, Robert C, Barlesi F, Vera P, Lassau N. Synergic prognostic value of 3D CT scan subcutaneous fat and muscle masses for immunotherapy-treated cancer. J Immunother Cancer 2023; 11:e007315. [PMID: 37678919 PMCID: PMC10496660 DOI: 10.1136/jitc-2023-007315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/14/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Our aim was to explore the prognostic value of anthropometric parameters in a large population of patients treated with immunotherapy. METHODS We retrospectively included 623 patients with advanced non-small cell lung cancer (NSCLC) (n=318) or melanoma (n=305) treated by an immune-checkpoint-inhibitor having a pretreatment (thorax-)abdomen-pelvis CT scan. An external validation cohort of 55 patients with NSCLC was used. Anthropometric parameters were measured three-dimensionally (3D) by a deep learning software (Anthropometer3DNet) allowing an automatic multislice measurement of lean body mass, fat body mass (FBM), muscle body mass (MBM), visceral fat mass (VFM) and sub-cutaneous fat mass (SFM). Body mass index (BMI) and weight loss (WL) were also retrieved. Receiver operator characteristic (ROC) curve analysis was performed and overall survival was calculated using Kaplan-Meier (KM) curve and Cox regression analysis. RESULTS In the overall cohort, 1-year mortality rate was 0.496 (95% CI: 0.457 to 0.537) for 309 events and 5-year mortality rate was 0.196 (95% CI: 0.165 to 0.233) for 477 events. In the univariate Kaplan-Meier analysis, prognosis was worse (p<0.001) for patients with low SFM (<3.95 kg/m2), low FBM (<3.26 kg/m2), low VFM (<0.91 kg/m2), low MBM (<5.85 kg/m2) and low BMI (<24.97 kg/m2). The same parameters were significant in the Cox univariate analysis (p<0.001) and, in the multivariate stepwise Cox analysis, the significant parameters were MBM (p<0.0001), SFM (0.013) and WL (0.0003). In subanalyses according to the type of cancer, all body composition parameters were statistically significant for NSCLC in ROC, KM and Cox univariate analysis while, for melanoma, none of them, except MBM, was statistically significant. In multivariate Cox analysis, the significant parameters for NSCLC were MBM (HR=0.81, p=0.0002), SFM (HR=0.94, p=0.02) and WL (HR=1.06, p=0.004). For NSCLC, a KM analysis combining SFM and MBM was able to separate the population in three categories with the worse prognostic for the patients with both low SFM (<5.22 kg/m2) and MBM (<6.86 kg/m2) (p<0001). On the external validation cohort, combination of low SFM and low MBM was pejorative with 63% of mortality at 1 year versus 25% (p=0.0029). CONCLUSIONS 3D measured low SFM and MBM are significant prognosis factors of NSCLC treated by immune checkpoint inhibitors and can be combined to improve the prognostic value.
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Affiliation(s)
- Pierre Decazes
- Department of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France
- QuantIF-LITIS (EA[Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, 76000 Rouen, France
| | - Samy Ammari
- Biomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France
- Department of Imaging, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
| | - Younes Belkouchi
- Biomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France
- Centre de Vision Numérique, CentraleSupélec, Inria, Université Paris-Saclay, 91190 Gif-Sur-Yvette, France
| | - Léo Mottay
- Department of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France
- QuantIF-LITIS (EA[Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, 76000 Rouen, France
| | - Littisha Lawrance
- Biomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France
| | - Antoine de Prévia
- Biomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France
| | - Hugues Talbot
- Centre de Vision Numérique, CentraleSupélec, Inria, Université Paris-Saclay, 91190 Gif-Sur-Yvette, France
| | - Siham Farhane
- Département des Innovations Thérapeutiques et Essais Précoces, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France
| | - Paul-Henry Cournède
- MICS Lab, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France
| | - Aurelien Marabelle
- Department of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
| | - Florian Guisier
- QuantIF-LITIS (EA[Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, 76000 Rouen, France
- Department of Pneumology and Inserm CIC-CRB 1404, CHU Rouen, 76000 Rouen, France
| | - David Planchard
- Department of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
| | - Tony Ibrahim
- Department of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
| | - Caroline Robert
- Department of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
| | - Fabrice Barlesi
- Department of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
| | - Pierre Vera
- Department of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France
- QuantIF-LITIS (EA[Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, 76000 Rouen, France
| | - Nathalie Lassau
- Biomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France
- Department of Imaging, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France
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Wang R, Xiong K, Wang Z, Wu D, Hu B, Ruan J, Sun C, Ma D, Li L, Liao S. Immunodiagnosis - the promise of personalized immunotherapy. Front Immunol 2023; 14:1216901. [PMID: 37520576 PMCID: PMC10372420 DOI: 10.3389/fimmu.2023.1216901] [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: 05/04/2023] [Accepted: 06/21/2023] [Indexed: 08/01/2023] Open
Abstract
Immunotherapy showed remarkable efficacy in several cancer types. However, the majority of patients do not benefit from immunotherapy. Evaluating tumor heterogeneity and immune status before treatment is key to identifying patients that are more likely to respond to immunotherapy. Demographic characteristics (such as sex, age, and race), immune status, and specific biomarkers all contribute to response to immunotherapy. A comprehensive immunodiagnostic model integrating all these three dimensions by artificial intelligence would provide valuable information for predicting treatment response. Here, we coined the term "immunodiagnosis" to describe the blueprint of the immunodiagnostic model. We illustrated the features that should be included in immunodiagnostic model and the strategy of constructing the immunodiagnostic model. Lastly, we discussed the incorporation of this immunodiagnosis model in clinical practice in hopes of improving the prognosis of tumor immunotherapy.
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Affiliation(s)
- Renjie Wang
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kairong Xiong
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhimin Wang
- Division of Endocrinology and Metabolic Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Di Wu
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bai Hu
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinghan Ruan
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chaoyang Sun
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ding Ma
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Li
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shujie Liao
- Department of Obstetrics and Gynecology, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Muscaritoli M, Modena A, Valerio M, Marchetti P, Magarotto R, Quadrini S, Narducci F, Tonini G, Grassani T, Cavanna L, Di Nunzio C, Citterio C, Occelli M, Strippoli A, Chiurazzi B, Frassoldati A, Altavilla G, Lucenti A, Nicolis F, Gori S. The Impact of NUTRItional Status at First Medical Oncology Visit on Clinical Outcomes: The NUTRIONCO Study. Cancers (Basel) 2023; 15:3206. [PMID: 37370816 DOI: 10.3390/cancers15123206] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
Malnutrition affects up to 75% of cancer patients and results from a combination of anorexia and metabolic dysregulation. Metabolic and nutritional abnormalities in cancer patients can lead to cachexia, a multifactorial syndrome characterized by involuntary loss of skeletal muscle mass, systemic inflammation and increased protein catabolism. Cancer cachexia negatively affects patients' outcomes, response to anticancer treatments, quality of life, and survival. However, risk of malnutrition, and cachexia are still under-recognized in cancer patients. The Prevalence of Malnutrition in Oncology (PreMiO) study revealed that 51% of patients already had nutritional deficiencies at their first medical oncology visit. Here, we report the results of the subsequent retrospective, observational NUTRItional status at first medical oncology visit ON Clinical Outcomes (NUTRIONCO) study, aimed at assessing the impact of baseline nutritional and non-nutritional variables collected in the PreMiO study on the clinical outcomes of the same patients followed up from August 2019 to October 2021. We have highlighted a statistically significant association between baseline variables and patient death, rehospitalization, treatment toxicity, and disease progression at follow-up. We found a higher overall survival probability in the well-nourished general study population vs. malnourished patients (p < 0.001). Of major interest is the fact that patient stratification revealed that malnutrition decreased survival probability in non-metastatic patients but not in metastatic patients (p < 0.001). Multivariate analysis confirmed that baseline malnutrition (p = 0.004) and VAS score for appetite loss (p = 0.0104), in addition to albumin < 35 g/L (p < 0.0001) and neutrophil/lymphocyte ratio > 3 (p = 0.0007), were independently associated with the death of non-metastatic patients at follow-up. These findings highlight the importance of proactive, early management of malnutrition and cachexia in cancer patients, and in particular, in non-metastatic patients, from the perspective of a substantial improvement of their clinical outcomes.
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Affiliation(s)
| | - Alessandra Modena
- Medical Oncology Unit, IRCCS Sacro Cuore Don Calabria, 37024 Negrar di Valpolicella, Italy
| | - Matteo Valerio
- Medical Oncology Unit, IRCCS Sacro Cuore Don Calabria, 37024 Negrar di Valpolicella, Italy
| | | | - Roberto Magarotto
- Medical Oncology Unit, IRCCS Sacro Cuore Don Calabria, 37024 Negrar di Valpolicella, Italy
| | - Silvia Quadrini
- Medical Oncology Unit, S.S. Trinità Hospital, 03039 Sora, Italy
| | | | - Giuseppe Tonini
- Medical Oncology Unit, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
- Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Teresa Grassani
- Medical Oncology Unit, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Luigi Cavanna
- Department of Oncology-Hematology, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Camilla Di Nunzio
- Department of Oncology-Hematology, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Chiara Citterio
- Department of Oncology-Hematology, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Marcella Occelli
- Department of Oncology, Santa Croce e Carle General Hospital, 12100 Cuneo, Italy
| | - Antonia Strippoli
- Medical Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Bruno Chiurazzi
- Oncology Unit, Antonio Cardarelli Hospital, 80131 Naples, Italy
| | - Antonio Frassoldati
- Clinical Oncology Unit, S. Anna University Hospital, 44124 Cona-Ferrara, Italy
| | - Giuseppe Altavilla
- Medical Oncology Unit, Department of Human Pathology of Adult and Evolutive Age "G. Barresi", University of Messina, 98125 Messina, Italy
| | - Antonio Lucenti
- Medical Oncology Unit, Maria Paternò-Arezzo Hospital, 97100 Ragusa, Italy
| | - Fabrizio Nicolis
- Medical Direction, IRCCS Sacro Cuore Don Calabria, 37024 Negrar di Valpolicella, Italy
- AIOM Foundation, 20133 Milano, Italy
| | - Stefania Gori
- Medical Oncology Unit, IRCCS Sacro Cuore Don Calabria, 37024 Negrar di Valpolicella, Italy
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Jogiat U, Jimoh Z, Turner SR, Baracos V, Eurich D, Bédard ELR. Sarcopenia in Lung Cancer: A Narrative Review. Nutr Cancer 2023:1-14. [PMID: 37177914 DOI: 10.1080/01635581.2023.2212425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
It has been over 10 years since the relationship between sarcopenia and lung cancer was first explored. Since then, sarcopenia research has progressed substantially, and the prognostic value of this condition is becoming increasingly apparent. Prior systematic reviews and meta-analyses have established sarcopenia to be negatively associated with disease-free and overall-survival, as well as a major risk factor for post-operative complications. The bulk of the literature has explored sarcopenia in the resectable setting, with less emphasis placed on studies evaluating this condition in advanced disease. In this up-to-date review, an examination of the literature exploring the association between sarcopenia and long-term outcomes in advanced lung cancer is provided. We further explore the association between adverse events of medical therapy and the role of sarcopenia as a predictor of tumor response. Finally, the interventions on sarcopenia and cancer cachexia are reviewed, with an emphasis placed on prospective studies.
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Affiliation(s)
- Uzair Jogiat
- Division of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, Canada
| | | | - Simon R Turner
- Division of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, Canada
| | - Vickie Baracos
- Division of Palliative Care Medicine, Department of Oncology, University of Alberta, Edmonton, Canada
| | - Dean Eurich
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Eric L R Bédard
- Division of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, Canada
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Khan A, Welman CJ, Abed A, O’Hanlon S, Redfern A, Azim S, Lopez P, Singh F, Khattak A. Association of Computed Tomography Measures of Muscle and Adipose Tissue and Progressive Changes throughout Treatment with Clinical Endpoints in Patients with Advanced Lung Cancer Treated with Immune Checkpoint Inhibitors. Cancers (Basel) 2023; 15:cancers15051382. [PMID: 36900175 PMCID: PMC10000131 DOI: 10.3390/cancers15051382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/24/2023] Open
Abstract
To investigate the association between skeletal muscle mass and adiposity measures with disease-free progression (DFS) and overall survival (OS) in patients with advanced lung cancer receiving immunotherapy, we retrospectively analysed 97 patients (age: 67.5 ± 10.2 years) with lung cancer who were treated with immunotherapy between March 2014 and June 2019. From computed tomography scans, we assessed the radiological measures of skeletal muscle mass, and intramuscular, subcutaneous and visceral adipose tissue at the third lumbar vertebra. Patients were divided into two groups based on specific or median values at baseline and changes throughout treatment. A total number of 96 patients (99.0%) had disease progression (median of 11.3 months) and died (median of 15.4 months) during follow-up. Increases of 10% in intramuscular adipose tissue were significantly associated with DFS (HR: 0.60, 95% CI: 0.38 to 0.95) and OS (HR: 0.60, 95% CI: 0.37 to 0.95), while increases of 10% in subcutaneous adipose tissue were associated with DFS (HR: 0.59, 95% CI: 0.36 to 0.95). These results indicate that, although muscle mass and visceral adipose tissue were not associated with DFS or OS, changes in intramuscular and subcutaneous adipose tissue can predict immunotherapy clinical outcomes in patients with advanced lung cancer.
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Affiliation(s)
- Azim Khan
- Northam Regional Hospital, Northam, WA 6401, Australia
- Correspondence: ; Tel.: +61-96901300
| | | | - Afaf Abed
- Peel Health Campus, Mandurah, WA 6210, Australia
| | - Susan O’Hanlon
- Department of Medical Imaging, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Andrew Redfern
- Department of Medical Oncology, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
- School of Medicine and Pharmacology, UWA, Perth, WA 6009, Australia
| | - Sara Azim
- Fiona Stanley Hospital, Murdoch, WA 6150, Australia
| | - Pedro Lopez
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA 6027, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
- Pleural Medicine Unit, Institute for Respiratory Health, Perth, WA 6009, Australia
| | - Favil Singh
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA 6027, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Adnan Khattak
- Fiona Stanley Hospital, Murdoch, WA 6150, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
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