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Obradović J, Niševic-Lazović J, Sekeruš V, Milašin J, Perin B, Jurisic V. Investigating the frequencies of EGFR mutations and EGFR single nucleotide polymorphisms genotypes and their predictive role in NSCLC patients in Republic of Serbia. Mol Biol Rep 2025; 52:350. [PMID: 40167836 DOI: 10.1007/s11033-025-10447-w] [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] [Received: 01/28/2025] [Accepted: 03/17/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Genetic factors influence non-small cell lung cancer (NSCLC) development, progression and treatment response. Epidermal growth factor receptor (EGFR) variants, particularly single nucleotide polymorphisms (SNPs), were linked to clinical outcomes in NSCLC. The general objective of this study was to examine frequencies of -191 C/A and - 216G/T EGFR SNPs, EGFR mutation profiles and their associations among gender, age, and smoking status. PATIENTS AND METHODS A cohort of 211 NSCLC patients (131 males and 80 females) from the Republic of Serbia was analyzed. PCR-RFLP genotyping was used for EGFR SNPs, and real-time PCR for detection of EGFR mutations. Cramér's V statistic, Chi-square tests, and binary logistic regression, were employed to explore the associations between EGFR SNPs, EGFR mutation status, and demographic factors. Data were analyzed using SPSS-27 software (SPSS, Inc.) and R software (version 4.3.2). RESULTS Statistical significance with moderate associations was found between smoking status and EGFR mutation status. A significant correlation was also observed between smoking and the - 216GG genotype (p = 0.016). Notably, male smokers with EGFR wild-type status and female non-smokers with EGFR mutations showed the highest frequencies of the - 216GG genotype. Binary logistic regression confirmed that the - 216G/T (p = 0.049) and smoking status (p ≤ 0.001) were significantly associated with the presence of EGFR mutations in females. CONCLUSION The - 216G/T SNP and smoking status may serve as potential predictors for EGFR mutation status in NSCLC patients. Further studies are warranted to confirm these associations and assess their implications for personalized treatment approach.
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Affiliation(s)
- Jasmina Obradović
- Department of Sciences, Institute for Information Technologies Kragujevac, University of Kragujevac, Kragujevac, Republic of Serbia
| | | | - Vanesa Sekeruš
- Department of Biochemistry, Faculty of Medicine, University of Novi Sad, Novi Sad, 21000, Serbia
- Institute for Pulmonary Diseases of Vojvodina, Sremska Kamenica, 21204, Serbia
| | - Jelena Milašin
- Department of Human Genetics, School of Dental Medicine, University of Belgrade, Belgrade, 11000, Serbia
| | - Branislav Perin
- Faculty of Medicine, University of Novi Sad, Novi Sad, 21000, Serbia
| | - Vladimir Jurisic
- Faculty of Medical Sciences, University of Kragujevac, Svetozara Markovića 69, Kragujevac, 34000, Republic of Serbia.
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Dong H, Hu F, Hao B, Jin X, Zheng Q, Su Y. Single-cell analysis reveals the disparities in immune profiles between younger and elder patients. Eur Geriatr Med 2024:10.1007/s41999-024-01032-8. [PMID: 39244673 DOI: 10.1007/s41999-024-01032-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 07/26/2024] [Indexed: 09/10/2024]
Abstract
PURPOSE The immune profiles of elder patients with non-small cell lung cancer (NSCLC) differ significantly from those of younger patients. The tumor microenvironment (TME) is a crucial factor in cancer progression and therapeutic responses. The present study aims to decipher the difference in TME between younger and elderly patients with lung cancers. METHODS We downloaded single-cell RNA data from public databases. The algorithm of uniform manifold approximation and projection (UMAP) was applied to cluster and visualize single-cell sequencing data. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) analysis were performed to evaluate the physiological functional characteristics in sub-group cells. CellPhoneDB was used to identify cell-cell interactions between immune cells within TME. RESULTS We conducted single-cell RNA sequencing on 96,491 cells from elderly patients and 169,207 cells from younger patients, respectively. We observed that epithelial cells were the predominant component of the TME in younger patients, whereas T/NK cells were the predominant cell type in the TME of elderly patients. We also found that there was a higher proportion of Tregs and a lower proportion of NK, effector CD8+T and γδT cells in elder patients compared with younger patients. In addition, a comparative GSEA analysis of NK cells between older and younger patients revealed that the pathways of Parkinson's disease, Alzheimer's disease, mismatch repair, and base excision repair were up-regulated in NK cells from elderly patients, while the pathways related to natural killer cell-mediated cytotoxicity and allograft rejection were downregulated. Furthermore, we identified tumor-associated neutrophils (TANs) in elder patients, and GSVA analysis demonstrated that the pathway of angiogenesis was upregulated, and the pathway of interferon_γ_response, inflammatory_response, TNFα_signaling_via_NFκB pathways were downregulated. Importantly, the pro-inflammatory response scores of complement C1q C chain positive (C1QC+) macrophages, tissue-resident macrophages (TRM), non-classical monocytes (NCM), secreted phosphoprotein 1 positive (SPP1+) macrophages, and classical monocytes (CM) in elder patients were significantly lower compared to those in younger patients. Finally, cell-to-cell communication analyses unveiled the disparities in regulatory patterns between elder and younger patients, namely the pairs of CXCL13-ACKR4 and CSF1-SIRPA in elder patients and the pairs of CTLA4-CD86 and TIGIT-NECTIN2 in younger patients. CONCLUSION This study reveals the distinct immune profiles between younger and elder NSCLC patients, and the elder patients were likely to exhibit a more immunosuppressive TME and attenuated tumor-killing capability compared with younger patients.
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Affiliation(s)
- Huixing Dong
- Department of Pulmonary and Critical Care Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China
| | - Feng Hu
- Department of Pulmonary and Critical Care Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China
| | - Bo Hao
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
| | - Xiaoyan Jin
- Department of Pulmonary and Critical Care Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China
| | - Qi Zheng
- Department of Respiratory and Critical Care Medicine, Huangpu Branch, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No.58, Pu Yu Dong Road, Shanghai, 200011, China.
| | - Yiliang Su
- Department of Pulmonary and Critical Care Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China.
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Laguna JC, Tagliamento M, Lambertini M, Hiznay J, Mezquita L. Tackling Non-Small Cell Lung Cancer in Young Adults: From Risk Factors and Genetic Susceptibility to Lung Cancer Profile and Outcomes. Am Soc Clin Oncol Educ Book 2024; 44:e432488. [PMID: 38788188 DOI: 10.1200/edbk_432488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Lung cancer has traditionally been associated with advanced age; however, its increasing incidence among young adults raises concerning questions regarding its etiology and unique considerations for this population. In contrast to the older population, the onset of lung cancer at younger age may be attributed to a complex interplay of incompletely understood individual susceptibility and prevalent environmental risk factors beyond tobacco smoke exposure, such as radon gas and air pollution, which are widespread globally. Consequently, this leads to distinct clinical and molecular profiles, requiring a tailored approach. Furthermore, a diagnosis of cancer represents a threatening event during the prime years of a young person's life, prompting concern about career development, social aspects, fertility aspirations, and physical independence. This poses significant additional challenges for health care professionals in a field that remains underexplored. This comprehensive review recognizes lung cancer in young adults as a distinct entity, exploring its clinical and molecular characteristics, diverse predisposing factors, and priorities in terms of quality of life, with the aim of providing practical support to oncologists and enhancing our understanding of this under-researched population.
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Affiliation(s)
- Juan Carlos Laguna
- Medical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
| | - Marco Tagliamento
- Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova, Italy
- Department of Medical Oncology, Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Matteo Lambertini
- Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova, Italy
- Department of Medical Oncology, Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
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4
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Blechter B, Wong JYY, Chien LH, Shiraishi K, Shu XO, Cai Q, Zheng W, Ji BT, Hu W, Rahman ML, Jiang HF, Tsai FY, Huang WY, Gao YT, Han X, Steinwandel MD, Yang G, Daida YG, Liang SY, Gomez SL, DeRouen MC, Diver WR, Reddy AG, Patel AV, Le Marchand L, Haiman C, Kohno T, Cheng I, Chang IS, Hsiung CA, Rothman N, Lan Q. Age at lung cancer diagnosis in females versus males who never smoke by race and ethnicity. Br J Cancer 2024; 130:1286-1294. [PMID: 38388856 PMCID: PMC11014844 DOI: 10.1038/s41416-024-02592-z] [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] [Received: 08/26/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke. METHODS We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student's t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes. RESULTS We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry (n = 29,832) (Δ years = -2.2 (95% confidence interval (CI):-2.5, -1.9), in Shanghai (n = 1049) (Δ years = -1.6 (95% CI:-2.9, -0.3), and in Sutter Health and Kaiser Permanente Hawai'i in the US (n = 82) (Δ years = -11.3 (95% CI: -17.7, -4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant. CONCLUSIONS We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.
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Affiliation(s)
- Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Department of Applied Mathematics, Chung-Yuan Christian University, Chung-Li, Taiwan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hsin-Fang Jiang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Xijing Han
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark D Steinwandel
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yihe G Daida
- Center for Integrated Health Care Research, Kaiser Permanente Hawai'i, Honolulu, HI, USA
| | - Su-Ying Liang
- Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, CA, USA
| | - Scarlett L Gomez
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Mindy C DeRouen
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Ananya G Reddy
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | | | - Christopher Haiman
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Iona Cheng
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Awodutire PO, Kattan MW, Ilori OS, Ilori OR. An Accelerated Failure Time Model to Predict Cause-Specific Survival and Prognostic Factors of Lung and Bronchus Cancer Patients with at Least Bone or Brain Metastases: Development and Internal Validation Using a SEER-Based Study. Cancers (Basel) 2024; 16:668. [PMID: 38339420 PMCID: PMC10854571 DOI: 10.3390/cancers16030668] [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: 12/21/2023] [Revised: 01/23/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND This study addresses the significant challenge of low survival rates in patients with cause-specific lung cancer accompanied by bone or brain metastases. Recognizing the critical need for an effective predictive model, the research aims to establish survival prediction models using both parametric and non-parametric approaches. METHODS Clinical data from lung cancer patients with at least one bone or brain metastasis between 2000 and 2020 from the SEER database were utilized. Four models were constructed: Cox proportional hazard, Weibull accelerated failure time (AFT), log-normal AFT, and Zografos-Balakrishnan log-normal (ZBLN). Independent prognostic factors for cause-specific survival were identified, and model fit was evaluated using Akaike's and Bayesian information criteria. Internal validation assessed predictive accuracy and discriminability through the Harriel Concordance Index (C-index) and calibration plots. RESULTS A total of 20,412 patients were included, with 14,290 (70%) as the training cohort and 6122 (30%) validation. Independent prognostic factors selected for the study were age, race, sex, primary tumor site, disease grade, total malignant tumor in situ, metastases, treatment modality, and histology. Among the accelerated failure time (AFT) models considered, the ZBLN distribution exhibited the most robust model fit for the 3- and 5-year survival, as evidenced by the lowest values of Akaike's information criterion of 6322 and 79,396, and the Bayesian information criterion of 63,495 and 79,396, respectively. This outperformed other AFT and Cox models (AIC = [156,891, 211,125]; BIC = [158,848, 211,287]). Regarding predictive accuracy, the ZBLN AFT model achieved the highest concordance C-index (0.682, 0.667), a better performance than the Cox model (0.669, 0.643). The calibration curves of the ZBLN AFT model demonstrated a high degree of concordance between actual and predicted values. All variables considered in this study demonstrated significance at the 0.05 level for the ZBLN AFT model. However, differences emerged in the significant variations in survival times between subgroups. The study revealed that patients with only bone metastases have a higher chance of survival compared to only brain and those with bone and brain metastases. CONCLUSIONS The study highlights the underutilized but accurate nature of the accelerated failure time model in predicting lung cancer survival and identifying prognostic factors. These findings have implications for individualized clinical decisions, indicating the potential for screening and professional care of lung cancer patients with at least one bone or brain metastasis in the future.
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Affiliation(s)
| | | | - Oluwatosin Stephen Ilori
- Ladoke Akintola University of Technology Teaching Hospital, Ogbomosho 212102, Nigeria; (O.S.I.); (O.R.I.)
| | - Oluwatosin Ruth Ilori
- Ladoke Akintola University of Technology Teaching Hospital, Ogbomosho 212102, Nigeria; (O.S.I.); (O.R.I.)
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Pilley SE, Esparza E, Mullen PJ. The aging tumor metabolic microenvironment. Curr Opin Biotechnol 2023; 84:102995. [PMID: 37783168 DOI: 10.1016/j.copbio.2023.102995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 08/24/2023] [Accepted: 08/31/2023] [Indexed: 10/04/2023]
Abstract
Despite the higher incidence of cancer with increasing age, few preclinical or clinical studies incorporate age. This, coupled with an aging world population, requires that we improve our understanding of how aging affects cancer development, progression, and treatment. One key area will be how the tumor microenvironment (TME) changes with age. Metabolite levels are an essential component of the TME, and they are affected by the metabolic requirements of the cells present and systemic metabolite availability. These factors are affected by aging, causing different TME metabolic states between young and older adults. In this review, we will summarize what is known about how aging impacts the TME metabolic state, and suggest how we can improve our understanding of it.
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Affiliation(s)
- Steven E Pilley
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Edgar Esparza
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Peter J Mullen
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA; Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA.
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7
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Apple J, DerSarkissian M, Shah A, Chang R, Chen Y, He X, Chun J. Economic burden of early-stage non-small-cell lung cancer: an assessment of healthcare resource utilization and medical costs. J Comp Eff Res 2023; 12:e230107. [PMID: 37655686 PMCID: PMC10690396 DOI: 10.57264/cer-2023-0107] [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] [Received: 06/22/2023] [Accepted: 08/11/2023] [Indexed: 09/02/2023] Open
Abstract
Aim: To quantify the economic burden of early-stage non-small-cell lung cancer (NSCLC) among patients with and without adjuvant therapy. Methods: All-cause and NSCLC-related healthcare resource utilization and medical costs were assessed among patients with resected stage IB-IIIA NSCLC in the SEER-Medicare database (1 January 2011-31 December 2019), from NSCLC diagnosis to death, end of continuous enrollment, or end of data availability (whichever occurred first). Results: Patients receiving adjuvant therapy had the lowest mean NSCLC-related medical costs (adjuvant [n = 1776]: $3738; neoadjuvant [n = 56]: $5793; both [n = 47]: $4818; surgery alone [n = 3478]: $4892, per-person-per-month), driven by lower NSCLC-related hospitalization rates. Conclusion: Post-surgical management of early-stage NSCLC was associated with high economic burden. Adjuvant therapy was associated with numerically lower medical costs over surgical resection alone.
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Affiliation(s)
- Jon Apple
- AstraZeneca Pharmaceuticals, One MedImmune Way, Gaithersburg, MD 20878, USA
| | - Maral DerSarkissian
- Analysis Group, 333 South Hope Street, 27th Floor, Los Angeles, CA 90071, USA
| | - Anne Shah
- AstraZeneca Pharmaceuticals, One MedImmune Way, Gaithersburg, MD 20878, USA
| | - Rose Chang
- Analysis Group, 111 Huntington Avenue, 14th Floor, Boston, MA 02199, USA
| | - Yan Chen
- Analysis Group, 333 South Hope Street, 27th Floor, Los Angeles, CA 90071, USA
| | - Xuanhao He
- Analysis Group, 333 South Hope Street, 27th Floor, Los Angeles, CA 90071, USA
| | - Justin Chun
- Analysis Group, 333 South Hope Street, 27th Floor, Los Angeles, CA 90071, USA
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Hamouri S, Alrabadi N, Syaj S, Abushukair H, Ababneh O, Al-Kraimeen L, Al-Sous M, Hecker E. Atrial resection for T4 non-small cell lung cancer with left atrium involvement: a systematic review and meta-analysis of survival. Surg Today 2023; 53:279-292. [PMID: 35000034 DOI: 10.1007/s00595-021-02446-8] [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: 07/26/2021] [Accepted: 10/25/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE Extended resection for non-small cell lung cancer (NSCLC) with T4 left atrium involvement is controversial. We performed a systematic review and meta-analysis to evaluate the short- and long-term outcomes of this treatment strategy. METHODS We searched the PubMed database for studies on atrial resection in NSCLC patients. The primary investigated outcome was the effectiveness of the surgery represented by survival data and the secondary outcomes were postoperative morbidity, mortality, and recurrence. RESULTS Our search identified 18 eligible studies including a total of 483 patients. Eleven studies reported median overall survival and 17 studies reported overall survival rates. The estimated pooled 1, 3, 5-year overall survival rates were 69.1% (95% CI 61.7-76.0%), 21.5% (95% CI 12.3-32.3%), and 19.9% (95% CI 13.9-26.6%), respectively. The median overall survival was 24 months (95% CI 17.7-27 months). Most studies reported significant associations between better survival and N0/1 status, complete resection status, and neoadjuvant therapy. CONCLUSION Extended lung resection, including the left atrium, for NSCLC is feasible with acceptable morbidity and mortality when complete resection is achieved. Lymph node N0/1 status coupled with the use of neoadjuvant therapies is associated with better outcomes.
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Affiliation(s)
- Shadi Hamouri
- Department of General Surgery and Urology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, 22110, Jordan.
| | - Nasr Alrabadi
- Department of Pharmacology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Sebawe Syaj
- Department of General Surgery and Urology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, 22110, Jordan
| | - Hassan Abushukair
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Obada Ababneh
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Leen Al-Kraimeen
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Majd Al-Sous
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Erich Hecker
- Thoracic Surgery Department, Thoracic Center Ruhrgebiet in Herne, Herne, Germany
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9
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Prognostic value of pretherapeutic FDG PET/CT in non-small cell lung cancer with pulmonary lymphangitic carcinomatosis. Sci Rep 2023; 13:345. [PMID: 36611038 PMCID: PMC9825376 DOI: 10.1038/s41598-022-24875-2] [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] [Received: 07/01/2022] [Accepted: 11/22/2022] [Indexed: 01/09/2023] Open
Abstract
Pulmonary lymphangitic carcinomatosis (PLC) is associated with a poor prognosis in patients with non-small cell lung cancer (NSCLC). We sought to determine prognostic value of pretherapeutic fluorine-18-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in NSCLC with radiologically diagnosed PLC. We retrospectively reviewed 50 NSCLC patients with radiologically diagnosed PLC. Among eight clinical variables and five imaging parameters, metabolic PLC burden, which represents the overall tumor burden of PLC, and cPLC, which represents the location and extent of PLC in a three-grade system, were used. In multivariate analyses for progression-free survival, metabolic PLC burden (P = 0.0181), cPLC (P = 0.0401), and clinical stage (P = 0.0284) were identified as independent prognostic factors. High metabolic PLC burden had a worse prognosis, and the prognosis of cPLC3 was significantly worse than that of cPLC1 or cPLC2. In univariate analyses for overall survival, only age (P = 0.0073) was identified a prognostic factor. In conclusion, FDG PET/CT parameters were identified as independent prognostic factors in NSCLC with radiologically diagnosed PLC. Furthermore, a combination of anatomical and metabolic information about PLC obtained using FDG PET/CT provides insight into the overall tumor burden of PLC and is useful in predicting prognosis.
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Galindo-Utrero A, San-Román-Montero JM, Gil-Prieto R, Gil-de-Miguel Á. Trends in hospitalization and in-hospital mortality rates among patients with lung cancer in Spain between 2010 and 2020. BMC Cancer 2022; 22:1199. [PMID: 36411427 PMCID: PMC9680125 DOI: 10.1186/s12885-022-10205-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/20/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Lung cancer is the third most frequent tumor and the main cause of death by tumor in Spain. Although the incidence and mortality are still significantly higher in men than in women, the disparity between the sexes is decreasing. The objective of this study was to analyze the evolution of lung cancer hospitalization and in-hospital mortality rates in Spain from 2010 to 2020. METHODS The reports of the Minimum Basic Data Set (MBDS) at hospital discharge were used to retrospectively analyze the data of all patients with a primary diagnosis of lung cancer, according to the International Classification of Diseases (ICD-9-CM and ICD-10-CM). RESULTS Between 2010 and 2020, there were 315,263 hospitalizations and 70,490 deaths from lung cancer in Spain, the majority (~ 80%) in men. Overall, the rates of hospitalization and in-hospital mortality from lung cancer showed a downward trend throughout the period, although the number of new diagnoses and the absolute number of deaths in women increased. Due to the aging of the population, the degree of comorbidity in patients with lung cancer, although it remains relatively low, is also on the rise. CONCLUSION Lung cancer represents a substantial clinical and economic burden for patients and for the National Health System, so it is necessary to promote primary prevention campaigns, as well as to develop more effective population screening measures to detect cancers early and increase the patient survival.
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Affiliation(s)
- Abraham Galindo-Utrero
- grid.28479.300000 0001 2206 5938Department of Medical Specialties and Public Health, Area of Preventive Medicine and Public Health, Rey Juan Carlos University, Avenida de Atenas S/N, 28922 Madrid, Spain
| | - Jesús María San-Román-Montero
- grid.28479.300000 0001 2206 5938Department of Medical Specialties and Public Health, Area of Medicine, Rey Juan Carlos University, Avenida de Atenas S/N, 28922 Madrid, Spain
| | - Ruth Gil-Prieto
- grid.28479.300000 0001 2206 5938Department of Medical Specialties and Public Health, Area of Preventive Medicine and Public Health, Rey Juan Carlos University, Avenida de Atenas S/N, 28922 Madrid, Spain
| | - Ángel Gil-de-Miguel
- grid.28479.300000 0001 2206 5938Department of Medical Specialties and Public Health, Area of Preventive Medicine and Public Health, Rey Juan Carlos University, Avenida de Atenas S/N, 28922 Madrid, Spain
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Rivera-Concepcion J, Uprety D, Adjei AA. Challenges in the Use of Targeted Therapies in NSCLC. Cancer Res Treat 2022; 54:315-329. [PMID: 35209703 PMCID: PMC9016301 DOI: 10.4143/crt.2022.078] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 02/16/2022] [Indexed: 11/21/2022] Open
Abstract
Precision oncology has fundamentally changed how we diagnose and treat cancer. In recent years, there has been a significant change in the management of patients with oncogene-addicted advanced-stage non–small cell lung cancer (NSCLC). Increasing amounts of identifiable oncogene drivers have led to the development of molecularly targeted drugs. Undoubtedly, the future of thoracic oncology is shifting toward increased molecular testing and the use of targeted therapies. For the most part, these novel drugs have proven to be safe and effective. As with all great innovations, targeted therapies pose unique challenges. Drug toxicities, resistance, access, and costs are some of the expected obstacles that will need to be addressed. This review highlights some of the major challenges in the use of targeted therapies in NSCLC and provides guidance for the future strategies.
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Emmerick ICM, Singh A, Powers M, Lou F, Lin P, Maxfield M, Uy K. Factors associated with diagnosis of stages I and II lung cancer: a multivariate analysis. Rev Saude Publica 2021; 55:112. [PMID: 34932701 PMCID: PMC8664062 DOI: 10.11606/s1518-8787.2021055003345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 04/18/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To present the overall survival rate for lung cancer and identify the factors associated with early diagnosis of stage I and II lung cancer. METHODS This is a retrospective cohort study including individuals diagnosed with lung cancer, from January 2009 to December 2017, according to the cancer registry at UMass Memorial Medical Center. Five-year overall survival and its associated factors were identified by Kaplan-Meier curves and Cox's proportional hazards model. Factors associated with diagnosing clinical stage I and II lung cancer were identified by bivariate and multivariate backward stepwise logistic regression (Log-likelihood ratio (LR)) at 95% confidence interval (CI). RESULTS The study was conducted with data on 2730 individuals aged 67.9 years on average, 51.5% of whom female, 92.3% white, and 6.6% never smoked. Five-year overall survival was 21%. Individuals diagnosed with early-stage disease had a 43% five-year survival rate compared to 8% for those diagnosed at late stages. Stage at diagnosis was the main factor associated with overall survival [HR = 4.08 (95%CI: 3.62-4.59)]. Factors associated with early diagnosis included patients older than 68 years [OR = 1.23 (95%CI: 1.04-1.45)], of the female gender [OR = 1.47 (95%CI: 1.24-1.73)], white [OR = 1.63 (95%CI: 1.16-2.30)], and never-smokers [OR = 1.37 (95%CI: 1.01-1.86)]; as well as tumors affecting the upper lobe [OR = 1.46 (95%CI: 1.24-1.73)]; adenocarcinoma [OR = 1.43 (95%CI: 1.21-1.69)]; and diagnosis after 2014 [OR = 1.61 (95%CI: 1.37-1.90)]. CONCLUSIONS Stage at diagnosis was the most decisive predictor for survival. Non-white and male individuals were more likely to be diagnosed at a late stage. Thus, promoting lung cancer early diagnosis by improving access to health care is vital to enhance overall survival for individuals with lung cancer.
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Affiliation(s)
| | - Anupama Singh
- University of Massachusetts Medical School. Worcester, Massachusetts, USA
| | - Maggie Powers
- University of Massachusetts Medical School. Division of Thoracic Surgery. Department of Surgery. Worcester, Massachusetts, USA
| | - Feiran Lou
- University of Massachusetts Medical School. Division of Thoracic Surgery. Department of Surgery. Worcester, Massachusetts, USA
| | - Poliana Lin
- University of Massachusetts Medical School. Division of Thoracic Surgery. Department of Surgery. Worcester, Massachusetts, USA
| | - Mark Maxfield
- University of Massachusetts Medical School. Division of Thoracic Surgery. Department of Surgery. Worcester, Massachusetts, USA
| | - Karl Uy
- University of Massachusetts Medical School. Division of Thoracic Surgery. Department of Surgery. Worcester, Massachusetts, USA
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13
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Cramer-van der Welle CM, van Loenhout L, van den Borne BE, Schramel FM, Dijksman LM. 'Care for Outcomes': systematic development of a set of outcome indicators to improve patient-relevant outcomes for patients with lung cancer. BMJ Open 2021; 11:e043229. [PMID: 33452199 PMCID: PMC7813396 DOI: 10.1136/bmjopen-2020-043229] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES Measuring quality of care is important, however many of the quality indicators used do not focus on outcome of treatment and aspects which are valuable for patients and physicians. The project 'Care for Outcomes' aims to establish a relevant set of outcome indicators for lung cancer. SETTING Network of seven large, non-university teaching hospitals in the Netherlands (Santeon). METHODS By reviewing the literature, a list of potential outcome indicators for patients with lung cancer was composed and subsequently prioritised by expert's opinion. Three external parties, with expertise on lung cancer, clinical management and public health, evaluated and reduced the list of indicators to a working set. Finally, the resulting selection of outcome indicators was tested for feasibility and discrimination in patient data, by collecting retrospective data and performing regression and survival analyses. PARTICIPANTS Development of the indicator set in six Santeon hospitals. Retrospective cohort study in 5922 patients diagnosed with lung cancer (all types and stages). RESULTS Selected outcome indicators were divided into three levels of outcome (tiers). The first tier about survival and the process of recovery include mortality, survival, positive resection margins, rethoracotomy after resection and quality of life at baseline and after 3, 6 and 12 months. Tier 2 concerning the sustainability of the recovery include complications after resection and toxicity after chemotherapy and/or radiation. Tier 3 about sustainability of health revealed no measurable outcomes. The retrospective data collection showed differences between hospitals and variation in case mix. CONCLUSION A relevant set of outcome indicators for lung cancer was systematically developed. This set has the potential to compare quality of care between hospitals and inform patients with lung cancer about outcomes. The project is ongoing in the current Santeon Value-Based Health Care programme through quality and improvement cycles.
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Affiliation(s)
| | - Lotte van Loenhout
- Department of Pulmonary Diseases, Sint Antonius Hospital, Nieuwegein, Utrecht, The Netherlands
| | | | - Franz Mnh Schramel
- Department of Pulmonary Diseases, Sint Antonius Hospital, Nieuwegein, Utrecht, The Netherlands
| | - Lea M Dijksman
- Department of Value-Based Healthcare, Sint Antonius Hospital, Nieuwegein, The Netherlands
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14
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Zhang T, Bi N, Zhou Z, Chen D, Feng Q, Liang J, Xiao Z, Hui Z, Lv J, Wang X, Deng L, Wang W, Liu W, Wang J, Zhai Y, Wang L. The impact of age on the survival outcomes and risk of radiation pneumonitis in patients with unresectable locally advanced non-small cell lung cancer receiving chemoradiotherapy. J Thorac Dis 2020; 12:4347-4356. [PMID: 32944347 PMCID: PMC7475579 DOI: 10.21037/jtd-20-2137] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Chemoradiotherapy is the recommended treatment for patients with unresectable locally advanced non-small cell lung cancer (NSCLC). This study aimed to determine the impact of age on the survival outcomes and risk of radiation pneumonitis (RP) in patients with unresectable locally advanced NSCLC. Methods The data of patients with unresectable locally advanced NSCLC who were treated with radiotherapy (RT), sequential chemoradiotherapy, or concurrent chemoradiotherapy between January, 2013, and December, 2017, in our institution were retrospectively reviewed and analyzed. Student’s t-test and χ2 test were used to evaluate the differences between groups divided by optimal cutoff. Survival rates were calculated using the Kaplan-Meier method, and multivariate cox regression was performed to determine the prognostic factors for survival outcomes. Results A total of 749 patients were included in this analysis. Based on the optimal cutoff, the patients were stratified into two age groups: <65 years old (the younger group, n=482) and ≥65 years old (the older group, n=267). The older group had more patients with poor Karnofsky Performance Score (KPS), squamous cell sarcoma (SCC), and IIIA stage than the younger group. The older patients were more likely to have received RT alone (40.1%) and less likely to have received concurrent chemoradiotherapy (cCRT) (26.6%) than the younger patients (8.1% and 54.8%, respectively, P<0.001). The median overall survival (OS) was 33 months (95% CI: 29–37 months) and 21 months (95% CI: 18–27 months) for the younger group and the older group, respectively (P<0.001). Multivariate Cox regression analysis showed that age had a significant independent association with OS (HR, 1.25; 95% CI: 1.01–1.55) after adjustment for covariates. The incidences of RP, symptomatic RP, and severe RP were similar between the two groups, but the incidence of fatal RP was higher in the older group (4.5% vs. 1.7%, P=0.039). Conclusions The clinical characteristics of the older patients in our study differed from those of the younger patients, and the older patients were more likely to choose conservative treatment. OS was longer in the older patients and more cases of fatal RP occurred in the older group.
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Affiliation(s)
- Tao Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Nan Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Zongmei Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Dongfu Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Qinfu Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jun Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Zefen Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Zhouguang Hui
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.,Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jima Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xin Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Lei Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Wenqing Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Wenyang Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jianyang Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yirui Zhai
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Luhua Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.,Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
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