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Guo W, Qiao T, Li H, Zhao Y, Qin J, Zhang C, Shi C. Peripheral CD8 +PD-1 + T cells as novel biomarker for neoadjuvant chemoimmunotherapy in humanized mice of non-small cell lung cancer. Cancer Lett 2024; 597:217073. [PMID: 38906523 DOI: 10.1016/j.canlet.2024.217073] [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: 02/14/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Abstract
Neoadjuvant immunotherapy has shown promising clinical activity in the treatment of early non-small cell lung cancer (NSCLC); however, further clarification of the specific mechanism and identification of biomarkers are imperative prior to implementing it as a daily practice. The study investigated the reprogramming of T cells in both tumor and peripheral blood following neoadjuvant chemoimmunotherapy in a preclinical NSCLC mouse model engrafted with a human immune system. Samples were also collected from 21 NSCLC patients (Stage IA-IIIB) who received neoadjuvant chemoimmunotherapy, and the dynamics of potential biomarkers within these samples were measured and further subjected to correlation analysis with prognosis. Further, we initially investigated the sources of the potential biomarkers. We observed in the humanized mouse model, neoadjuvant chemoimmunotherapy could prevent postoperative recurrence and metastasis by increasing the frequency and cytotoxicity of CD8+ T cells in both peripheral blood (p < 0.001) and tumor immune microenvironment (TIME) (p < 0.001). The kinetics of peripheral CD8+PD-1+ T cells reflected the changes in the TIME and pathological responses, ultimately predicting survival outcome of mice. In the clinical cohort, patients exhibiting an increase in these T cells post-treatment had a higher rate of complete or major pathological response (p < 0.05) and increased immune infiltration (p = 0.0012, r = 0.792). We identified these T cells originating from tumor draining lymph nodes and subsequently entering the TIME. In conclusion, the kinetics of peripheral CD8+PD-1+ T cells can serve as a predictor for changes in TIME and optimal timing for surgery, ultimately reflecting the outcomes of neoadjuvant chemoimmunotherapy in both preclinical and clinical setting.
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Affiliation(s)
- Wenwen Guo
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China; Clinical Research Center, Xianyang Central Hospital, Xianyang, Shaanxi, 712099, China
| | - Tianyun Qiao
- Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Hui Li
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yong Zhao
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jing Qin
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Caiqin Zhang
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Changhong Shi
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
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Wong LY, Dale R, Kapula N, Elliott IA, Liou DZ, Backhus LM, Lui NS, Shrager JB, Berry MF. Impacts of Positive Margins and Surgical Extent on Outcomes After Early-Stage Lung Cancer Resection. Ann Thorac Surg 2024:S0003-4975(24)00460-0. [PMID: 38866199 DOI: 10.1016/j.athoracsur.2024.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/25/2024] [Accepted: 05/20/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Sublobar resection of early-stage non-small cell lung cancer (NSCLC) is increasingly considered appropriate but may compromise margins compared with lobectomy. This study evaluated resection extent, margin status, and survival in patients with clinical stage I NSCLC. METHODS Patients with clinical T1-2 N0 M0 NSCLC in the National Cancer Database (2006-2020) who were treated with primary surgery were compared stratified by margin status. The potential benefit of radiation was explored in subgroup analysis of patients who underwent sublobar resection with positive margins. RESULTS Positive margins occurred in 5089 (2.8%) of 181,824 patients and were more common in sublobar resections compared with lobectomy (4.3% vs 2.4%; P < .001). Sublobar resection had the strongest association with positive margins in multivariable analysis (odds ratio, 2.06; 95% CI, 1.91-2.23; P < .001). Patients with positive margins were more likely to undergo both adjuvant chemotherapy (16% vs 13%; P < .001) and radiation (17% vs 1%; P < .001) but had worse survival in univariate analysis (44.0% 5-year overall survival vs 69.2%; P < .001) and multivariable Cox analysis (hazard ratio, 1.71; 95% CI, 1.63-1.78; P < .001) in the entire cohort, as well as in a univariate subset analysis of lobectomy (46.9% vs 70.4%; P < .001) and sublobar resection (37.5% vs 64.1%; P < .001). Postoperative radiation for patients who underwent sublobar resection with positive margins did not improve 5-year overall survival (36.3% for irradiated patients vs 38.3% for nonirradiated patients; P = .57), and patients who underwent sublobar resection with positive margins who were treated with radiation had survival inferior to that of patients who underwent lobectomy with negative margins. CONCLUSIONS Positive margins occur more frequently after sublobar resection of clinical stage I NSCLC compared with lobectomy. Patients with positive margins have worse survival than patients who undergo complete resection and are not rescued by postoperative radiation.
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Affiliation(s)
- Lye-Yeng Wong
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California.
| | - Reid Dale
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California; Stanford Cardiovascular Institute, Stanford California
| | - Ntemena Kapula
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California
| | - Irmina A Elliott
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California; VA Palo Alto Health Care System, Palo Alto, California
| | - Douglas Z Liou
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California
| | - Leah M Backhus
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California; VA Palo Alto Health Care System, Palo Alto, California
| | - Natalie S Lui
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California
| | - Joseph B Shrager
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California; VA Palo Alto Health Care System, Palo Alto, California
| | - Mark F Berry
- Department of Cardiothoracic Surgery, Stanford University Medical Center, Stanford, California; VA Palo Alto Health Care System, Palo Alto, California
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Liu F, Farris MK, Ververs JD, Hughes RT, Munley MT. Histology-driven hypofractionated radiation therapy schemes for early-stage lung adenocarcinoma and squamous cell carcinoma. Radiother Oncol 2024; 195:110257. [PMID: 38548113 PMCID: PMC11098686 DOI: 10.1016/j.radonc.2024.110257] [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: 01/24/2024] [Revised: 03/06/2024] [Accepted: 03/21/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND AND PURPOSE Histology was found to be an important prognostic factor for local tumor control probability (TCP) after stereotactic body radiotherapy (SBRT) of early-stage non-small-cell lung cancer (NSCLC). A histology-driven SBRT approach has not been explored in routine clinical practice and histology-dependent fractionation schemes remain unknown. Here, we analyzed pooled histologic TCP data as a function of biologically effective dose (BED) to determine histology-driven fractionation schemes for SBRT and hypofractionated radiotherapy of two predominant early-stage NSCLC histologic subtypes adenocarcinoma (ADC) and squamous cell carcinoma (SCC). MATERIAL AND METHODS The least-χ2 method was used to fit the collected histologic TCP data of 8510 early-stage NSCLC patients to determine parameters for a well-developed radiobiological model per the Hypofractionated Treatment Effects in the Clinic (HyTEC) initiative. RESULTS A fit to the histologic TCP data yielded independent radiobiological parameter sets for radiotherapy of early-stage lung ADC and SCC. TCP increases steeply with BED and reaches an asymptotic maximal plateau, allowing us to determine model-independent optimal fractionation schemes of least doses in 1-30 fractions to achieve maximal tumor control for early-stage lung ADC and SCC, e.g., 30, 44, 48, and 51 Gy for ADC, and 32, 48, 54, and 58 Gy for SCC in 1, 3, 4, and 5 fractions, respectively. CONCLUSION We presented the first determination of histology-dependent radiobiological parameters and model-independent histology-driven optimal SBRT and hypofractionated radiation therapy schemes for early-stage lung ADC and SCC. SCC requires substantially higher radiation doses to maximize tumor control than ADC, plausibly attributed to tumor genetic diversity and microenvironment. The determined optimal SBRT schemes agree well with clinical practice for early-stage lung ADC. These proposed optimal fractionation schemes provide first insights for histology-based personalized radiotherapy of two predominant early-stage NSCLC subtypes ADC and SCC, which require further validation with large-scale histologic TCP data.
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Affiliation(s)
- Feng Liu
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
| | - Michael K Farris
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - James D Ververs
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - Ryan T Hughes
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - Michael T Munley
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
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Ma Z, Zhou Z, Wang S, Ji H, Zhao D, Wang L, Chen J. Clinical significance of postoperative folate receptor-positive circulating tumor cells (FR + CTCs) for long-term prognosis in patients with invasive adenocarcinoma (IAC) of the lung. Thorac Cancer 2024; 15:1060-1071. [PMID: 38532562 PMCID: PMC11062873 DOI: 10.1111/1759-7714.15288] [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: 02/05/2024] [Revised: 03/05/2024] [Accepted: 03/07/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND The aim of the study was to evaluate the prognostic value of postoperative folate receptor-positive circulating tumor cell (FR + CTC) detection in patients with stage I-III invasive adenocarcinoma (IAC) treated with surgery. METHODS Patients with lung adenocarcinoma (LUAD) who underwent surgical resection in Peking University Cancer Hospital and received postoperative FR + CTC analysis from July 2016 to January 2021 were retrospectively collected. Comparisons between or among groups were made using the Kruskal-Wallis or Mann-Whitney U tests. Survival curves were estimated using the Kaplan-Meier method and compared using the log-rank test. Cox proportional hazard regression analyses were performed to explore the factors predicting recurrence and survival. RESULTS There were significant differences between the high and low groups in terms of age (p = 0.002), postoperative CA199 (p = 0.038), and postoperative SCC (p = 0.024). There were no significant differences in the other indicators (all p>0.05). N stage 1, N stage 2, and neoadjuvant therapy (NAT) were independent risk factors for disease recurrence and death; pleural invasion (PI), and nerve invasion were independent risk factors for death. The Kaplan-Meier curve showed a notable trend for a worse disease-free survival (DFS) or overall survival (OS) for patients with high levels of FR + CTCs in our study, but none of these were statistically significant. CONCLUSION The detection of FR + CTCs postoperatively was an independent predictor of recurrence in patients treated for stage I-III IAC. Standardized detection methods and optimal time points for assessment should be established in future studies.
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Affiliation(s)
- Zeming Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhiwei Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Shijie Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hong Ji
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Dachuan Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Liang Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jinfeng Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
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Oh Y, Yoon SM, Lee J, Park JH, Lee S, Hong T, Chung LI, Sudhaman S, Riddell T, Palsuledesai CC, Krainock M, Liu MC, Chae YK. Personalized, tumor-informed, circulating tumor DNA assay for detecting minimal residual disease in non-small cell lung cancer patients receiving curative treatments. Thorac Cancer 2024; 15:1095-1102. [PMID: 38558374 PMCID: PMC11062881 DOI: 10.1111/1759-7714.15281] [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: 01/07/2024] [Revised: 02/24/2024] [Accepted: 02/29/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) has emerged as a prognostic and predictive biomarker for detection of minimal residual disease (MRD), monitoring treatment response, and early detection of recurrence in cancer patients. In this study, we explored the utility of ctDNA-based MRD detection to predict recurrence in a real-world cohort of primarily early-stage non-small cell lung cancer (NSCLC) patients treated with curative intent. METHODS Longitudinal plasma samples were collected post curative-intent treatment from 36 patients with stage I-IV NSCLC. A personalized, tumor-informed assay was used to detect and quantify ctDNA in plasma samples. RESULTS Of the 24 patients with plasma samples available during the MRD window (within 6 months of curative surgery and before adjuvant therapy), ctDNA was detectable in two patients. Patients with ctDNA-positivity during the MRD window were 15 times more likely to recur compared to ctDNA-negative patients (HR: 15.0, 95% CI: 1.0-253.0, p = 0.010). At any time post-curative intent treatment, ctDNA-positivity was associated with significantly poorer recurrence-free survival compared to persistently ctDNA-negative patients (p < 0.0001). CONCLUSION Our real-world data indicate that longitudinal, personalized, tumor-informed ctDNA monitoring is a valuable tool in patients with NSCLC receiving curative treatment to identify patients at high risk for recurrence.
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Affiliation(s)
- Youjin Oh
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
- Department of internal medicineJohn H. Stroger Hospital of Cook CountyChicagoIllinoisUSA
| | - Sung Mi Yoon
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
- North Central Bronx Hospital, Albert Einstein College of MedicineBronxNew YorkUSA
| | - Jeeyeon Lee
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
- Kyungpook National University School of Medicine, Kyungpook National University Chilgok HospitalDaeguRepublic of Korea
| | - Joo Hee Park
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
| | - Soowon Lee
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
- Baylor UniversityWacoTexasUSA
| | - Timothy Hong
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
| | | | | | | | | | | | | | - Young Kwang Chae
- Feinberg School of Medicine, Northwestern UniversityChicagoIllinoisUSA
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Xu D, de la Hoz RE, Steinberger SR, Doucette J, Pagano AM, Wolf A, Chung M, Jacobi A. Postoperative CT surveillance in the evaluation of local recurrence after sub-lobar resection of neoplastic lesions of the lung. Clin Imaging 2024; 106:110030. [PMID: 38150854 DOI: 10.1016/j.clinimag.2023.110030] [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: 06/13/2023] [Revised: 11/03/2023] [Accepted: 11/13/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVE As indications for sub-lobar resections increase, it will become more important to identify risk factors for postsurgical recurrence. We investigated retrospectively the association between local recurrence after sub-lobar resection of neoplastic lung lesions and pre- and post-operative CT imaging and pathologic features. MATERIALS AND METHODS We reviewed retrospectively neoplastic lung lesions with postoperative chest CT surveillance of sub-lobar resections in 2006-2016. We defined "suspicious" findings as nodularity ≥3 mm or soft tissue thickening ≥4 mm along the suture line and/or progression and explored their association with local recurrence. Primary lung cancer stage, tumoral invasion of lymphatics, visceral pleura or large vessels, bronchial and vascular margin distance were also assessed. RESULTS Our study group included 45 cases of sub-lobar resection took for either primary (n = 37) or metastatic (n = 8) lung tumors. Local recurrence was observed in 16 of those patients. New nodularity ≥3 mm or soft tissue thickening ≥4 mm along the suture line on surveillance CT was significantly associated with local recurrence (p = 0.037). Additionally, solid nodule (p = 0.005), age at surgery ≤60 years (p = 0.006), two or more sites of invasion (p < 0.0001) and poor histologic differentiation (p = 0.0001) were also significantly associated with local tumor recurrence. Of 16 patients with surveillance post-surgical PET-CT, 15 had elevated FDG uptake. CONCLUSION The postoperative changes along the suture line should follow a predictable time course demonstrating a pattern of stability, thinning or resolution on CT surveillance. New or increasing postoperative nodularity ≥3 mm or soft tissue thickening ≥4 mm along the suture line requires close diagnostic work-up. Surgical pathology characteristics added prognostic value on postoperative recurrence surveillance.
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Affiliation(s)
- Dongming Xu
- University of Pennsylvania, Radiology, 3400 Spruce Street, Philadelphia, PA 19104, USA.
| | - Rafael E de la Hoz
- Departments of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - John Doucette
- Icahn School of Medicine at Mount Sinai, Environmental Medicine and Public Health, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Andrew Michael Pagano
- Memorial Sloan Kettering Cancer Center, Radiology, 1275 York Ave., New York, NY 10065, USA
| | - Andrea Wolf
- Icahn School of Medicine at Mount Sinai, Thoracic Surgery, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Michael Chung
- Icahn School of Medicine at Mount Sinai, Department of Radiology, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Adam Jacobi
- Icahn School of Medicine at Mount Sinai, Department of Radiology, One Gustave L. Levy Place, New York, NY 10029, USA
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Lu J, Feng Y, Guo K, Sun L, Ruan S, Zhang K. Prognostic value of preoperative circulating tumor DNA in non-small cell lung cancer: a systematic review and meta-analysis. J Cancer Res Clin Oncol 2024; 150:25. [PMID: 38252173 PMCID: PMC10803397 DOI: 10.1007/s00432-023-05550-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: 10/04/2023] [Accepted: 11/03/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Several recent studies have reported the increasing application of preoperative circulating tumor DNA (ctDNA) as a biomarker of tumor burden for guiding potential postoperative treatment strategies. METHODS A meta-analysis of prospective/retrospective cohort studies was conducted to compare the prognosis of preoperatively genetically positive and genetically negative NSCLC patients. The endpoints used in the included studies were overall survival (OS) and recurrence-free survival (RFS). The objective of the meta-analysis was to comprehensively explore the prognostic value of preoperative ctDNA for patients with non-small-cell lung cancer (NSCLC) and its significance in guiding postoperative adjuvant therapy (AT) in patients with NSCLC. RESULTS The preliminary analysis identified 1565 studies, among which only 11 studies fulfilled the eligibility criteria and were finally included in the present systematic review and meta-analysis. The statistical results revealed that the expression of preoperative ctDNA was associated with worse RFS (HR = 3.00; 95% CI 2.26-3.98; I2 = 0%) and OS (HR = 2.77; 95% CI 1.67-4.58; I2 = 0%), particularly in lung adenocarcinoma (LUAD) patients (RFS: HR = 3.46; 95% CI 2.37-5.05; I2 = 0%; OS: HR = 3.52; 95% CI 1.91-6.49; I2 = 0%) and patients with I-II stage of NSCLC (RFS: HR = 2.84; 95% CI 1.88-4.29; I2 = 0%; OS: HR = 2.60; 95% CI 1.43-4.74; I2 = 0%). Moreover, compared to patients with negative preoperative ctDNA, patients with positive preoperative ctDNA presented greater survival benefits (HR = 0.39; 95% CI 0.22-0.67; I2 = 2%) from postoperative AT. CONCLUSION The evaluation of the prognostic value of preoperative ctDNA revealed that preoperative ctDNA might be used as a prognostic biomarker for patients with LUAD or those with stage I-II NSCLC. In addition, postoperative AT is recommended for NSCLC patients with positive preoperative ctDNA, regardless of the disease stage and subtype.
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Affiliation(s)
- Jiamin Lu
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- The First Affiliated Hospital of Zhejiang, Chinese Medical University, (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
| | - Yuqian Feng
- Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Kaibo Guo
- Department of Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Leitao Sun
- The First Affiliated Hospital of Zhejiang, Chinese Medical University, (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
| | - Shanming Ruan
- The First Affiliated Hospital of Zhejiang, Chinese Medical University, (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
| | - Kai Zhang
- The First Affiliated Hospital of Zhejiang, Chinese Medical University, (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
- Anji Traditional Chinese Medical Hospital, Huzhou, Zhejiang, China.
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Liu M, Yan G, Li Y, You R, Liu L, Zhang D, Yang G, Dong X, Ding Y, Yan S, You D, Li Z. Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer. Cancer Imaging 2023; 23:116. [PMID: 38041154 PMCID: PMC10691021 DOI: 10.1186/s40644-023-00640-0] [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: 09/20/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND The correlation between the preoperative splenic area measured on CT scans and the overall survival (OS) of early-stage non-small cell lung cancer (NSCLC) patients remains unclear. METHODS A retrospective discovery cohort and validation cohort consisting of consecutive NSCLC patients who underwent resection and preoperative CT scans were created. The patients were divided into two groups based on the measurement of their preoperative splenic area: normal and abnormal. The Cox proportional hazard model was used to analyse the correlation between splenic area and OS. RESULTS The discovery and validation cohorts included 2532 patients (1374 (54.27%) males; median (IQR) age 59 (52-66) years) and 608 patients (403 (66.28%) males; age 69 (62-76) years), respectively. Patients with a normal splenic area had a 6% higher 5-year OS (n = 727 (80%)) than patients with an abnormal splenic area (n = 1805 (74%)) (p = 0.007) in the discovery cohort. A similar result was obtained in the validation cohort. In the univariable analysis, the OS hazard ratios (HRs) for the patients with abnormal splenic areas were 1.32 (95% confidence interval (CI): 1.08, 1.61) in the discovery cohort and 1.59 (95% CI: 1.01, 2.50) in the validation cohort. Multivariable analysis demonstrated that abnormal splenic area was independent of shorter OS in the discovery (HR: 1.32, 95% CI: 1.08, 1.63) and validation cohorts (HR: 1.84, 95% CI: 1.12, 3.02). CONCLUSION Preoperative CT measurements of the splenic area serve as a prognostic indicator for early-stage NSCLC patients, offering a novel metric with potential implications for personalized therapeutic strategies in top-tier oncology research.
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Affiliation(s)
- Mengmei Liu
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, 1168 West Chunrong Road, Chenggong District, Kunming, 650500, Yunnan, P. R. China
| | - Guanghong Yan
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, 1168 West Chunrong Road, Chenggong District, Kunming, 650500, Yunnan, P. R. China
| | - Yanli Li
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Ruiming You
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Lizhu Liu
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Dafu Zhang
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Guangjun Yang
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Xingxiang Dong
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Yingying Ding
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China
| | - Shan Yan
- Institute of Biomedical Engineering, Kunming Medical University, 1168 West Chunrong Road, Chenggong District, Kunming, 650500, Yunnan, P. R. China.
| | - Dingyun You
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, 1168 West Chunrong Road, Chenggong District, Kunming, 650500, Yunnan, P. R. China.
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China.
| | - Zhenhui Li
- Department of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Center, Kunming, 650118, China.
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Fong KY, Chan YH, Chia CML, Agasthian T, Lee P. Sublobar resection versus lobectomy for stage IA non-small-cell lung cancer ≤ 2 cm: a systematic review and patient-level meta-analysis. Updates Surg 2023; 75:2343-2354. [PMID: 37563486 DOI: 10.1007/s13304-023-01627-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: 07/03/2023] [Accepted: 08/04/2023] [Indexed: 08/12/2023]
Abstract
Despite lobectomy being the standard of care for early-stage non-small-cell lung cancer (NSCLC), sublobar resection (segmentectomy or wedge resection) has recently been suggested to achieve similar outcomes. An electronic literature search was conducted to retrieve randomized controlled trials (RCTs) or propensity score-matched studies (PSMs) comparing lobectomy to sublobar resection in stage IA NSCLC ≤ 2 cm in size, with provision of Kaplan-Meier curves for overall survival (OS) and disease-free survival (DFS). A graphical reconstructive algorithm was used to obtain OS and DFS of individual patients, which was then pooled under random-effects individual patient data meta-analysis using Cox models to determine hazard ratios (HRs). Sensitivity analyses for OS and DFS were also performed, restricting to results from RCTs only. Seven studies (2528 patients) were retrieved. There were no significant differences in OS (shared-frailty HR = 0.92, 95% CI = 0.77-1.11, p = 0.378) or DFS (shared-frailty HR = 1.06, 95% CI = 0.90-1.24, p = 0.476) between lobectomy and sublobar resection. This comparison remained non-significant even when restricted to RCTs only. Pooled Kaplan-Meier curves of OS appeared to diverge over time, in favor of sublobar resection. This was confirmed on analysis of restricted mean survival time curves. This patient-level meta-analysis of high-quality studies demonstrates that sublobar resection is equivalent to lobectomy in patients with small stage IA NSCLC. Sublobar resection offers greater down-the-road benefits in patients who experience recurrence or a second primary tumor since the lung-sparing index surgery allows patients to receive further treatment safely. This heralds sublobar resection as the new standard of care in carefully selected early-stage patients.Trial registration: PROSPERO CRD42023385358.
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Affiliation(s)
- Khi Yung Fong
- Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore, 117597, Singapore.
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cynthia Ming Li Chia
- Department of Cardiothoracic Surgery, National Heart Centre Singapore, Singapore, Singapore
| | | | - Pyng Lee
- Department of Respiratory and Critical Care Medicine, National University Hospital, Singapore, Singapore
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10
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Tvilum M, Lutz CM, Knap MM, Hoffmann L, Khalil AA, Holt MI, Kandi M, Schmidt HH, Appelt AL, Alber M, Møller DS. Different benefits of adaptive radiotherapy for different histologies of NSCLC. Acta Oncol 2023; 62:1426-1432. [PMID: 37796133 DOI: 10.1080/0284186x.2023.2260944] [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: 06/02/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are the most frequent histological subtypes of non-small cell lung cancer (NSCLC). The aim of this study was to investigate how patients with AC and SCC benefit from image-guided adaptive radiotherapy (ART) with tumour match. MATERIAL AND METHODS Consecutive patients diagnosed with AC or SCC of the lung treated with definitive chemo-radiotherapy before and after the implementation of ART and tumour match were retrospectively included for analyses. Data collection included baseline patient and treatment characteristics in addition to clinical data on radiation pneumonitis (RP), failure, and survival. Patients were divided into four categories based on their histology and treatment before (n = 173 [89 AC and 84 SCC]) and after implementation of ART (n = 240 [141 AC and 99 SCC]). RESULTS Median follow-up was 5.7 years for AC and 6.3 years for SCC. Mean lung dose decreased for both histologies with ART, whereas mean heart dose only decreased for patients with AC. Incidences of grade 3 and 5 RP decreased for both histologies with ART. Loco-regional failure (LRF) rates decreased significantly for patients with SCC after ART (p = .04), no significant difference was observed for AC. Overall survival (OS) increased significantly for SCC after ART (p < .01): the 2-year OS increased from 31.0% (95% confidence interval [CI] [22.5-42.6]) to 54.5% (95% CI [45.6-65.3]). No significant effect on OS was observed for patients with AC. CONCLUSION ART and tumour match in the radiotherapeutic treatment of patients with locally advanced NSCLC primarily led to decreased LRF and improved OS for patients with SCC.
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Affiliation(s)
- Marie Tvilum
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
| | | | | | - Lone Hoffmann
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | | | - Maria Kandi
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Ane L Appelt
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
- Leeds Cancer Centre, St James's University Hospital, Leeds, UK
| | - Markus Alber
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg University Hospital, Heidelberg, Germany
| | - Ditte S Møller
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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11
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Le MT, Nguyen HT, Nguyen XH, Do XH, Mai BT, Ngoc Nguyen HT, Trang Than UT, Nguyen TH. Regulation and therapeutic potentials of microRNAs to non-small cell lung cancer. Heliyon 2023; 9:e22080. [PMID: 38058618 PMCID: PMC10696070 DOI: 10.1016/j.heliyon.2023.e22080] [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: 03/31/2023] [Revised: 11/02/2023] [Accepted: 11/03/2023] [Indexed: 12/08/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, accounting for 80%-85% of total cases and leading to millions of deaths worldwide. Drug resistance is the primary cause of treatment failure in NSCLC, which urges scientists to develop advanced approaches for NSCLC treatment. Among novel approaches, the miRNA-based method has emerged as a potential approach as it allows researchers to modulate target gene expression. Subsequently, cell behaviors are altered, which leads to the death and the depletion of cancer cells. It has been reported that miRNAs possess the capacity to regulate multiple genes that are involved in various signaling pathways, including the phosphoinositide 3-kinase, receptor tyrosine kinase/rat sarcoma virus/mitogen-activated protein kinase, wingless/integrated, retinoblastoma, p53, transforming growth factor β, and nuclear factor-kappa B pathways. Dysregulation of these signaling pathways in NSCLC results in abnormal cell proliferation, tissue invasion, and drug resistance while inhibiting apoptosis. Thus, understanding the roles of miRNAs in regulating these signaling pathways may enable the development of novel NSCLC treatment therapies. However, a comprehensive review of potential miRNAs in NSCLC treatment has been lacking. Therefore, this review aims to fill the gap by summarizing the up-to-date information on miRNAs regarding their targets, impact on cancer-associated pathways, and prospective outcomes in treating NSCLC. We also discuss current technologies for delivering miRNAs to the target cells, including virus-based, non-viral, and emerging extracellular vesicle-based delivery systems. This knowledge will support future studies to develop an innovative miRNA-based therapy and select a suitable carrier to treat NSCLC effectively.
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Affiliation(s)
- Mai Thi Le
- Vinmec Hi-tech Center, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, 100000, Viet Nam
| | - Huyen-Thu Nguyen
- Vinmec Hi-tech Center, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
| | - Xuan-Hung Nguyen
- Vinmec Hi-tech Center, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
- College of Health Sciences, Vin University, Hanoi, 100000, Viet Nam
- Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
| | - Xuan-Hai Do
- Department of Gastroenterology, 108 Military Central Hospital, Hanoi, Viet Nam
| | - Binh Thanh Mai
- Department of Practical and Experimental Surgery, Vietnam Military Medical University, 160 Phung Hung Street, Phuc La, Ha Dong, Hanoi, Viet Nam
| | - Ha Thi Ngoc Nguyen
- Vinmec Hi-tech Center, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
| | - Uyen Thi Trang Than
- Vinmec Hi-tech Center, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
- Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
| | - Thanh-Hong Nguyen
- Vinmec Hi-tech Center, Vinmec Healthcare System, Hanoi, 100000, Viet Nam
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12
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Su CC, Wu JT, Choi E, Myall NJ, Neal JW, Kurian AW, Stehr H, Wood D, Henry SM, Backhus LM, Leung AN, Wakelee HA, Han SS. Overall Survival Among Patients With De Novo Stage IV Metastatic and Distant Metastatic Recurrent Non-Small Cell Lung Cancer. JAMA Netw Open 2023; 6:e2335813. [PMID: 37751203 PMCID: PMC10523163 DOI: 10.1001/jamanetworkopen.2023.35813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/22/2023] [Indexed: 09/27/2023] Open
Abstract
Importance Despite recent breakthroughs in therapy, advanced lung cancer still poses a therapeutic challenge. The survival profile of patients with metastatic lung cancer remains poorly understood by metastatic disease type (ie, de novo stage IV vs distant recurrence). Objective To evaluate the association of metastatic disease type on overall survival (OS) among patients with non-small cell lung cancer (NSCLC) and to identify potential mechanisms underlying any survival difference. Design, Setting, and Participants Cohort study of a national US population based at a tertiary referral center in the San Francisco Bay Area using participant data from the National Lung Screening Trial (NLST) who were enrolled between 2002 and 2004 and followed up for up to 7 years as the primary cohort and patient data from Stanford Healthcare (SHC) for diagnoses between 2009 and 2019 and followed up for up to 13 years as the validation cohort. Participants from NLST with de novo metastatic or distant recurrent NSCLC diagnoses were included. Data were analyzed from January 2021 to March 2023. Exposures De novo stage IV vs distant recurrent metastatic disease. Main Outcomes and Measures OS after diagnosis of metastatic disease. Results The NLST and SHC cohort consisted of 660 and 180 participants, respectively (411 men [62.3%] vs 109 men [60.6%], 602 White participants [91.2%] vs 111 White participants [61.7%], and mean [SD] age of 66.8 [5.5] vs 71.4 [7.9] years at metastasis, respectively). Patients with distant recurrence showed significantly better OS than patients with de novo metastasis (adjusted hazard ratio [aHR], 0.72; 95% CI, 0.60-0.87; P < .001) in NLST, which was replicated in SHC (aHR, 0.64; 95% CI, 0.43-0.96; P = .03). In SHC, patients with de novo metastasis more frequently progressed to the bone (63 patients with de novo metastasis [52.5%] vs 19 patients with distant recurrence [31.7%]) or pleura (40 patients with de novo metastasis [33.3%] vs 8 patients with distant recurrence [13.3%]) than patients with distant recurrence and were primarily detected through symptoms (102 patients [85.0%]) as compared with posttreatment surveillance (47 patients [78.3%]) in the latter. The main finding remained consistent after further adjusting for metastasis sites and detection methods. Conclusions and Relevance In this cohort study, patients with distant recurrent NSCLC had significantly better OS than those with de novo disease, and the latter group was associated with characteristics that may affect overall survival. This finding can help inform future clinical trial designs to ensure a balance for baseline patient characteristics.
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Affiliation(s)
- Chloe C. Su
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Julie T. Wu
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
| | - Eunji Choi
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Nathaniel J. Myall
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Joel W. Neal
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Allison W. Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Henning Stehr
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Douglas Wood
- Research Informatics Center, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Solomon M. Henry
- Research Informatics Center, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Leah M. Backhus
- Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Ann N. Leung
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Heather A. Wakelee
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Summer S. Han
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
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13
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Jovanoski N, Bowes K, Brown A, Belleli R, Di Maio D, Chadda S, Abogunrin S. Survival and quality-of-life outcomes in early-stage NSCLC patients: a literature review of real-world evidence. Lung Cancer Manag 2023; 12:LMT60. [PMID: 37693293 PMCID: PMC10485735 DOI: 10.2217/lmt-2023-0003] [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: 03/02/2023] [Accepted: 06/22/2023] [Indexed: 09/12/2023] Open
Abstract
Aim Assess the long-term survival and quality-of-life outcomes in early-stage NSCLC (eNSCLC) patients. Methods Review of long-term survival and quality-of-life after curative treatment in eNSCLC patients in observational studies. Results Disease-free proportion decreased in stage III vs stage I patients. Recurrence-free proportion decreased with age and disease stage. Advanced stage and vascular invasion increased risk of late recurrence. Conditional 5-year relative survival rates did not exceed 87%, indicating higher mortality in eNSCLC survivors. Lower conditional survival rates and relative survival rates were associated with older age and advanced disease. Survivors of eNSCLC had poorer physical quality-of-life. Conclusion Despite curative-intent therapy, survivors of eNSCLC still face significant risks of recurrence, excess mortality, and diminished quality-of-life.
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Affiliation(s)
- Nick Jovanoski
- F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Building 002/OG18, CH-4070, Basel, Switzerland
| | - Kathleen Bowes
- Genesis Research, West One, Forth Banks, Newcastle, NE1 3PA, UK
| | - Audrey Brown
- Genesis Research, West One, Forth Banks, Newcastle, NE1 3PA, UK
| | - Rossella Belleli
- F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Building 002/OG18, CH-4070, Basel, Switzerland
| | - Danilo Di Maio
- F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Building 002/OG18, CH-4070, Basel, Switzerland
| | - Shkun Chadda
- Genesis Research, West One, Forth Banks, Newcastle, NE1 3PA, UK
| | - Seye Abogunrin
- F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Building 002/OG18, CH-4070, Basel, Switzerland
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14
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Ramtohul T, Challier L, Servois V, Girard N. Pretreatment Tumor Growth Rate and Radiological Response as Predictive Markers of Pathological Response and Survival in Patients with Resectable Lung Cancer Treated by Neoadjuvant Treatment. Cancers (Basel) 2023; 15:4158. [PMID: 37627186 PMCID: PMC10453282 DOI: 10.3390/cancers15164158] [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: 07/17/2023] [Revised: 08/13/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
INTRODUCTION Predictive biomarkers associated with pathological response, progression precluding surgery, and/or recurrence after surgery are needed for patients with resectable non-small cell lung carcinoma (NSCLC) treated by neoadjuvant treatment. We evaluated the clinical impact of the pretreatment tumor growth rate (TGR0) and radiological response for patients with resectable NSCLC treated with neoadjuvant therapies. METHODS Consecutive patients with resectable stage IB (≥4 cm) to IIIA NSCLC treated by neoadjuvant platinum-doublet chemotherapy with or without nivolumab at our tertiary center were retrospectively analyzed. TGR0 and RECIST objective responses were determined. Multivariable analyses identified independent predictors of event-free survival (EFS), overall survival (OS), and major pathological response (MPR). RESULTS Between November 2017 and December 2022, 32 patients (mean [SD] age, 63.8 [8.0] years) were included. At a median follow-up of 54.8 months (95% CI, 42.3-60.4 months), eleven patients (34%) experienced progression or recurrence, and twelve deaths (38%) were recorded. The TGR0 cutoff of 30%/month remained the only independent factor associated with EFS (HR = 0.04; 95% CI, 0.01-0.3; p = 0.003) and OS (HR = 0.2; 95% CI, 0.03-0.7; p = 0.01). The TGR0 cut-off had a mean time-dependent AUC of 0.83 (95% CI, 0.64-0.95) and 0.80 (95% CI, 0.62-0.97) for predicting EFS and OS, respectively. Fifteen of 26 resection cases (58%) showed MPR including nine with pathological complete responses (35%). Only the objective response of the primary tumor was associated with MPR (OR = 27.5; 95% CI, 2.6-289.1; p = 0.006). CONCLUSIONS Assessment of TGR0 can identify patients who should benefit from neoadjuvant treatment. A tumor objective response might be a predictor of MPR after neoadjuvant treatment, which will help to adapt surgical management.
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Affiliation(s)
- Toulsie Ramtohul
- Department of Radiology, Institut Curie Paris, PSL Research University, 75005 Paris, France; (L.C.); (V.S.)
| | - Léa Challier
- Department of Radiology, Institut Curie Paris, PSL Research University, 75005 Paris, France; (L.C.); (V.S.)
| | - Vincent Servois
- Department of Radiology, Institut Curie Paris, PSL Research University, 75005 Paris, France; (L.C.); (V.S.)
| | - Nicolas Girard
- Institut du Thorax Curie Montsouris, Institut Curie, 75005 Paris, France;
- Paris Saclay Campus, Versailles Saint Quentin University, 78000 Versailles, France
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15
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Ray MA, Akinbobola O, Fehnel C, Saulsberry A, Dortch K, Wolf B, Valaulikar G, Patel HD, Ng T, Robbins T, Smeltzer MP, Faris NR, Osarogiagbon RU. Surgeon Quality and Patient Survival After Resection for Non-Small-Cell Lung Cancer. J Clin Oncol 2023; 41:3616-3628. [PMID: 37267506 PMCID: PMC10325770 DOI: 10.1200/jco.22.01971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 03/06/2023] [Accepted: 04/12/2023] [Indexed: 06/04/2023] Open
Abstract
PURPOSE The quality and outcomes of curative-intent lung cancer surgery vary in populations. Surgeons are key drivers of surgical quality. We examined the association between surgeon-level intermediate outcomes differences, patient survival differences, and potential mitigation by processes of care. PATIENTS AND METHODS Using a baseline population-based surgical resection cohort, we derived surgeon-level cut points for rates of positive margins, nonexamination of lymph nodes, nonexamination of mediastinal lymph nodes, and wedge resections. Applying the baseline cut points to a subsequent cohort from the same population-based data set, we assign surgeons into three performance categories in reference to each metric: 1 (<25th percentile), 2 (25th-75th percentile), and 3 (>75th percentile). The sum of performance scores created three surgeon quality tiers: 1 (4-6, low), 2 (7-9, intermediate), and 3 (10-12, high). We used chi-squared, Wilcoxon-Mann-Whitney, and Kruskal-Wallis tests to compare patient characteristics between the baseline and subsequent cohorts and across surgeon tiers. We applied Cox proportional hazards models to examine the association between patient survival and surgeon performance tier, sequentially adjusting for clinical stage, patient characteristics, and four specific processes. RESULTS From 2009 to 2021, 39 surgeons performed 4,082 resections across the baseline and subsequent cohorts. Among 31 subsequent cohort surgeons, five were tier 1, five were tier 2, and 21 were tier 3. Tier 1 and 2 surgeons had significantly worse outcomes than tier 3 surgeons (hazard ratio [HR], 1.37; 95% CI, 1.10 to 1.72 and 1.19; 95% CI, 1.00 to 1.43, respectively). Adjustment for specific processes mitigated the surgeon-tiered survival differences, with adjusted HRs of 1.02 (95% CI, 0.8 to 1.3) and 0.93 (95% CI, 0.7 to 1.25), respectively. CONCLUSION Readily accessible intermediate outcomes metrics can be used to stratify surgeon performance for targeted process improvement, potentially reducing patient survival disparities.
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Affiliation(s)
| | | | - Carrie Fehnel
- Thoracic Oncology Research Group, Baptist Cancer Center, Memphis, TN
| | - Andrea Saulsberry
- Thoracic Oncology Research Group, Baptist Cancer Center, Memphis, TN
| | - Kourtney Dortch
- Thoracic Oncology Research Group, Baptist Cancer Center, Memphis, TN
| | | | | | | | - Thomas Ng
- Methodist University Hospital, Memphis, TN
| | - Todd Robbins
- Baptist Memorial Hospital—Memphis, Memphis TN
- Multidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, TN
| | | | - Nicholas R. Faris
- Thoracic Oncology Research Group, Baptist Cancer Center, Memphis, TN
- Multidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, TN
| | - Raymond U. Osarogiagbon
- Thoracic Oncology Research Group, Baptist Cancer Center, Memphis, TN
- Multidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, TN
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16
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Guo W, Zhang T, Li R, Chen X, Pang J, Bao H, Wu X, Shao Y, Qiu B, Gao S, He J. Molecular risk factors for locoregional recurrence in resected non-small cell lung cancer. Cancer Med 2023; 12:15026-15036. [PMID: 37248810 PMCID: PMC10417202 DOI: 10.1002/cam4.6165] [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: 04/06/2023] [Revised: 05/08/2023] [Accepted: 05/17/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND Locoregional recurrence is of high risk and is associated with a poor prognosis in terms of OS for non-small cell lung cancer (NSCLC). Local control is essential for radical cure of NSCLC. Previous studies have investigated the clinicopathological risk factors for locoregional recurrence, but the genomic biomarkers associated with locoregional recurrence have been inadequately studied. METHODS A total of 118 patients who underwent tumor resection with mutation-detected tumor specimens were included. Tumor samples at surgery and pretreatment/postoperative blood samples were collected for mutational profiling. RESULTS Among 48 patients with disease recurrence, 46% developed locoregional recurrence (LR) and 75% developed distant metastasis (DM). The 3-year actuarial risk of LR and DM was 25% and 43%, respectively. The first sites of failure were locoregional only (29%), locoregional and distant (10%), and distant only (61%). Patients with LR showed significantly higher ctDNA level than those with only DM at the time of initial recurrence. On multivariate analysis of baseline risk factors, the presence of allele frequency heterogeneity and baseline ctDNA shedding were found to be independently associated with a higher risk of LR. Patients with disruptive TP53 mutations had significantly lower LR-free survival as compared to patients with wild-type TP53 or nondisruptive mutations. EGFR mutations showed a favorable prognostic value for LR and is not induced by EGFR tyrosine kinase inhibitor therapy. Both disruptive TP53 mutation and EGFR mutation remained the significant prognostic factor after adjustment for histological type, pathologic nodal stage and adjuvant therapy. CONCLUSIONS Nearly half of disease recurrences after surgery for NSCC involved locoregional sites. We identified genomic biomarkers from baseline tumor and ctDNA samples which showed promising prognostic value for LR only. This can help identify patients who had a higher risk of locoregional recurrence regardless of the risk of distant metastasis.
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Affiliation(s)
- Wei Guo
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Tao Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijingChina
| | - Runze Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiaoxi Chen
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc.NanjingChina
| | - Jiaohui Pang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc.NanjingChina
| | - Hua Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc.NanjingChina
| | - Xue Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc.NanjingChina
| | - Yang Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc.NanjingChina
- School of Public HealthNanjing Medical UniversityNanjingChina
| | - Bin Qiu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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17
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Hüyük M, Fiocco M, Postmus PE, Cohen D, von der Thüsen JH. Systematic review and meta-analysis of the prognostic impact of lymph node micrometastasis and isolated tumour cells in patients with stage I-IIIA non-small cell lung cancer. Histopathology 2023; 82:650-663. [PMID: 36282087 DOI: 10.1111/his.14831] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 10/08/2022] [Accepted: 10/11/2022] [Indexed: 11/28/2022]
Abstract
Lymph node micrometastases could be one of the reasons for the high recurrence rate after complete surgical resection in stage I-IIIA non-small cell lung cancer (NSCLC). The standard evaluation of a single haematoxylin and eosin (H&E) slide of a paraffin-embedded section of a lymph node is insufficient for the detection of micrometastases, and there is a need for additional histopathological evaluation. The association of lymph node micrometastases with survival remains as yet unresolved. The aim of this systematic review and meta-analysis is to investigate if lymph node micrometastases and isolated tumour cells in patients with stage I-IIIA NSCLC, detected with multiple sectioning and/or immunohistochemistry (IHC) and/or reverse transcriptase polymerase chain reaction (RT-PCR), are associated with overall survival (OS) and disease-free survival (DFS) after surgical resection. We performed a meta-analysis of time-to-event outcomes based on 15 articles using ancillary techniques to detect micrometastases. We extracted the OS and DFS every 3-6 months after surgery, for patients with and without occult lymph node micrometastasis, from the survival curves published in each article. These data were used to reconstruct OS and DFS for 'micrometastasis' and 'no micrometastasis' groups. Based on all included studies that used IHC, serial sectioning, or RT-PCR, we found a 5-year OS of 55% (micrometastasis) vs. 75% (no micrometastasis), and a 5-year DFS of 53% (micrometastasis) vs. 75% (no micrometastasis). Patients with stage I-IIIA NSCLC with lymph node micrometastases detected by ancillary histopathological and molecular techniques have a significantly poorer OS and DFS compared to patients without lymph node micrometastases.
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Affiliation(s)
- Melek Hüyük
- Department of Pulmonology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marta Fiocco
- Department of Biomedical Data Science, section Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.,Mathematical Institute, Leiden University, The Netherlands
| | - Pieter E Postmus
- Department of Pulmonology, Leiden University Medical Center, Leiden, The Netherlands
| | - Danielle Cohen
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan H von der Thüsen
- Department of Pathology and Clinical Bioinformatics, Erasmus Medical Center, Rotterdam, The Netherlands
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18
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Nagy B, Szilberhorn L, Győrbíró DM, Moizs M, Bajzik G, Kerpel-Fronius A, Vokó Z. Shall We Screen Lung Cancer With Low-Dose Computed Tomography? Cost-Effectiveness in Hungary. Value Health Reg Issues 2023; 34:55-64. [PMID: 36502786 DOI: 10.1016/j.vhri.2022.10.002] [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: 06/14/2022] [Revised: 09/26/2022] [Accepted: 10/30/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Clinical data and cost-effectiveness analyses from several countries support the use of low-dose computed tomography (LDCT) to screen patients with high risk of lung cancer (LC). This study aimed to explore the economic value of screening LC with LDCT in Hungary. METHODS Cohorts of screened and nonscreened subjects were simulated in a decision analytic model over their lifetime. Five steps in the patient trajectory were distinguished: no LC, nondiagnosed LC, screening, diagnosed LC, and post-treatment. Patient pathways were populated based on the Hungarian pilot study of screening, the Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON) LC screening trial, and local incidence and prevalence data. Healthcare costs were obtained from the National Health Insurance Fund. Utility data were obtained from international sources and adjusted to local tariffs. Scenarios according to screening frequency, age bands (50-74, 55-74 years), and smoking status were analyzed. RESULTS Annual LDCT-based screening compared with no screening for 55- to 74-year-old current smokers showed 0.031 quality-adjusted life-year (QALY) gains for an additional €137, which yields €5707 per QALY. Biennial screening for the same target population showed that purchasing 1 QALY would cost €10 203. The least cost-effective case was biennial screening of the general population aged 50 to 74 years, which yielded €37 931 per QALY. CONCLUSIONS Screening LC with LDCT for a high-risk population could be cost-effective in Hungary. For the introduction of screening with LDCT, targeting the most vulnerable groups while having a long-term approach on costs and benefits is essential.
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Affiliation(s)
- Balázs Nagy
- Syreon Research Institute, Budapest, Hungary; Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary.
| | | | | | | | | | | | - Zoltán Vokó
- Syreon Research Institute, Budapest, Hungary; Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
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19
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Kim KN, Heintz J, Yegya-Raman N, Cohen R, Kegelman T, Cengel K, Marmarelis M, Sun L, Langer C, Aggarwal C, Singh A, Singhal S, Kucharczuk J, Robinson K, Feigenberg S. Toxicities and Deaths From Intercurrent Disease Following Contemporary Postoperative Radiotherapy in Resected Non-Small-Cell Lung Cancer. Clin Lung Cancer 2023; 24:e78-e86. [PMID: 36628846 DOI: 10.1016/j.cllc.2022.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/04/2022] [Accepted: 12/16/2022] [Indexed: 12/26/2022]
Abstract
INTRODUCTION The role of postoperative radiotherapy (PORT) in patients with resected locally advanced non-small-cell lung cancer (NSCLC) remains controversial due to the radiation techniques used in randomized trials. We conducted a retrospective cohort study evaluating contemporary PORT techniques to evaluate the safety of PORT and risk of death from intercurrent disease . MATERIALS AND METHODS We analyzed consecutive patients with NSCLC treated in a single center that underwent PORT for pN2 disease and/or positive margin, with 3-dimensional conformal radiotherapy (3DRT), intensity modulated radiotherapy , or proton RT (PRT), between 2008 and 2019. Clinical details were collected including intercurrent deaths, defined as death without cancer recurrence. Kaplan-Meier and Cox-Proportional Hazards Models were used. RESULTS Of 119 patients, 21 (17.6%) received 3DRT, 47 (39.5%) intensity modulated radiotherapy, and 51 (42.9%) PRT. Median follow-up was 40 months (range 8-136) and median RT dose was 5040cGy. Most patients (65.5%) received sequential adjuvant chemoRT; 18.5% received concurrent chemoRT. The rate of grade 3 toxicities was 9.2%. There were 13 (10.9%) deaths from intercurrent diseases, including 6 from second primary cancers and 2 from cardiopulmonary diseases. There were 2 additional deaths from cardiopulmonary disease in patients with cancer progression at time of death. Mean, V5Gy, V30Gy heart doses and mean lung doses were significantly lower with PRT. Three-year OS and disease-free-survival were 70.1% and 49.9%. CONCLUSION PORT using contemporary techniques was well tolerated with acceptable toxicity and low rates of intercurrent deaths. Proton therapy significantly reduced heart and lung doses, but radiotherapy modality was not associated with differences in intercurrent disease.
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Affiliation(s)
- Kristine N Kim
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
| | - Jonathan Heintz
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Nikhil Yegya-Raman
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Roger Cohen
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Timothy Kegelman
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Keith Cengel
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Melina Marmarelis
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Lova Sun
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Corey Langer
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Charu Aggarwal
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Aditi Singh
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sunil Singhal
- Division of Thoracic Surgery, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - John Kucharczuk
- Division of Thoracic Surgery, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Kyle Robinson
- Division of Hematology Oncology, Department of Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Steven Feigenberg
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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20
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Economic Burden of Recurrence in Completely Resected Stage IB-IIIA Non-Small Cell Lung Cancer: A Retrospective Study Using Nationwide Claims Data of South Korea. Adv Ther 2023; 40:550-567. [PMID: 36404368 DOI: 10.1007/s12325-022-02358-0] [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: 09/02/2022] [Accepted: 10/12/2022] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Although many patients with early stage non-small cell lung cancer (NSCLC) experience recurrence despite complete resection, few studies have reported on the corresponding economic burden. This study aimed to understand the economic impact of recurrence by measuring healthcare costs and resource utilization in patients with recurrent stage IB-IIIA NSCLC. METHODS Using Health Insurance Review and Assessment claims data from South Korea, we included patients who underwent complete resection for stage IB-IIIA NSCLC during the index period (January 1, 2012, to October 31, 2018). Patients who experienced recurrence were matched with those who did not using 1:1 propensity score (PS) matching. The mean healthcare costs and resource utilization were analyzed from the date of complete resection to the last claims for cancer treatment. A generalized linear model (GLM) was used to estimate the impact of covariates on healthcare costs. A difference-in-difference (DID) analysis was conducted to analyze the healthcare costs between the two groups before and after recurrence. RESULTS Patients with recurrence incurred higher healthcare costs, particularly in outpatient settings. The cost of targeted therapy and immune checkpoint inhibitors primarily contributed to cost differences, and medication costs increased over time after complete resection. Patients with recurrence were also hospitalized more frequently (9.3 vs. 5.0, p < 0.0001) for a longer period (74 days vs. 42 days, p < 0.0001) than those without recurrence. GLM analysis showed that the total cost was 2.31-fold higher in patients with recurrence (95% confidence interval: 2.19-2.44). The DID analysis showed significantly increased total costs in patients with recurrence (β = 26,269, p < 0.0001), which was mostly attributed to medication costs (β = 17,951, p < 0.0001). CONCLUSION Recurrence of completely resected NSCLC leads to a substantial increase in healthcare costs and resource utilization. The results of this study show the economic burden of recurrence, which may help future economic analyses and resource allocation.
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21
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Tsai LL, Fitzgerald DM, Liu R, Korunes-Miller JT, Neal E, Hung YP, Bilton S, Hata A, Grinstaff MW, Colson YL. Porous Paclitaxel Mesh Reduces Local Recurrence in Patient-Derived Xenograft Resection Model. Ann Thorac Surg 2022:S0003-4975(22)01325-X. [PMID: 36376135 PMCID: PMC10172394 DOI: 10.1016/j.athoracsur.2022.09.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/15/2022] [Accepted: 09/19/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Drug-loaded meshes offer a promising delivery strategy for the prevention of local recurrence. Patient-derived xenograft (PDX) models are representative of individual patient tumors and predictive of clinical outcomes. METHODS A PDX model was established in NSG (NOD-scid IL2Rgammanull) mice using tumor tissue from a patient with aggressive lung adenocarcinoma. Polyglycolic acid (PGA) meshes loaded with paclitaxel (PGA+PTX) were electrospun. Tumor-bearing mice were randomized into 4 groups after macroscopic complete resection: (1) no treatment (n = 10); (2) intraperitoneal PTX at 20 mg/kg (n = 10); (3) PGA mesh without drug (n = 14); and (4) PGA+PTX mesh at 12 mg/kg (n = 14). A 1-cm2 mesh was placed onto the tumor resection beds. Groups were observed for local recurrence for 120 postoperative days. RESULTS PDX mice treated with PGA+PTX meshes after resection exhibited a >5-fold increase in recurrence-free survival (P < .0001) compared with systemically treated and untreated control groups. Median recurrence-free survival was 24 days for untreated and intraperitoneal PTX groups, 28 days for unloaded PGA mesh group, and undefined for the PGA+PTX mesh group. CONCLUSIONS Development of a PDX surgical resection model of non-small cell lung cancer permits robust assessment of postresection local recurrence for preclinical studies of patient-derived tumors. Intraoperative placement of drug-loaded meshes demonstrates superior local disease treatment, suggesting that this approach may improve recurrence-free survival in early-stage non-small cell lung cancer patients undergoing limited resection.
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Affiliation(s)
- Lillian L Tsai
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Danielle M Fitzgerald
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts; Department of Chemistry, Boston University, Boston, Massachusetts
| | - Rong Liu
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Jenny T Korunes-Miller
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts; Department of Chemistry, Boston University, Boston, Massachusetts
| | - Eliza Neal
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Yin P Hung
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Samantha Bilton
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Aaron Hata
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Mark W Grinstaff
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts; Department of Chemistry, Boston University, Boston, Massachusetts
| | - Yolonda L Colson
- Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
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22
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Van Egeren D, Kohli K, Warner JL, Bedard PL, Riely G, Lepisto E, Schrag D, LeNoue-Newton M, Catalano P, Kehl KL, Michor F, Fiandalo M, Foti M, Khotskaya Y, Lee J, Peters N, Sweeney S, Abraham J, Brenton JD, Caldas C, Doherty G, Nimmervoll B, Pinilla K, Martin JE, Rueda OM, Sammut SJ, Silva D, Cao K, Heath AP, Li M, Lilly J, MacFarland S, Maris JM, Mason JL, Morgan AM, Resnick A, Welsh M, Zhu Y, Johnson B, Li Y, Sholl L, Beaudoin R, Biswas R, Cerami E, Cushing O, Dand D, Ducar M, Gusev A, Hahn WC, Haigis K, Hassett M, Janeway KA, Jänne P, Jawale A, Johnson J, Kehl KL, Kumari P, Laucks V, Lepisto E, Lindeman N, Lindsay J, Lueders A, Macconaill L, Manam M, Mazor T, Miller D, Newcomb A, Orechia J, Ovalle A, Postle A, Quinn D, Reardon B, Rollins B, Shivdasani P, Tramontano A, Van Allen E, Van Nostrand SC, Bell J, Datto MB, Green M, Hubbard C, McCall SJ, Mettu NB, Strickler JH, Andre F, Besse B, Deloger M, Dogan S, Italiano A, Loriot Y, Ludovic L, Michels S, Scoazec J, Tran-Dien A, Vassal G, Freeman CE, Hsiao SJ, Ingham M, Pang J, Rabadan R, Roman LC, Carvajal R, DuBois R, Arcila ME, Benayed R, Berger MF, Bhuiya M, Brannon AR, Brown S, Chakravarty D, Chu C, de Bruijn I, Galle J, Gao J, Gardos S, Gross B, Kundra R, Kung AL, Ladanyi M, Lavery JA, Li X, Lisman A, Mastrogiacomo B, McCarthy C, Nichols C, Ochoa A, Panageas KS, Philip J, Pillai S, Riely GJ, Rizvi H, Rudolph J, Sawyers CL, Schrag D, Schultz N, Schwartz J, Sheridan R, Solit D, Wang A, Wilson M, Zehir A, Zhang H, Zhao G, Ahmed L, Bedard PL, Bruce JP, Chow H, Cooke S, Del Rossi S, Felicen S, Hakgor S, Jagannathan P, Kamel-Reid S, Krishna G, Leighl N, Lu Z, Nguyen A, Oldfield L, Plagianakos D, Pugh TJ, Rizvi A, Sabatini P, Shah E, Singaravelan N, Siu L, Srivastava G, Stickle N, Stockley T, Tang M, Virtaenen C, Watt S, Yu C, Bernard B, Bifulco C, Cramer JL, Lee S, Piening B, Reynolds S, Slagel J, Tittel P, Urba W, VanCampen J, Weerasinghe R, Acebedo A, Guinney J, Guo X, Hunter-Zinck H, Yu T, Dang K, Anagnostou V, Baras A, Brahmer J, Gocke C, Scharpf RB, Tao J, Velculescu VE, Alexander S, Bailey N, Gold P, Bierkens M, de Graaf J, Hudeček J, Meijer GA, Monkhorst K, Samsom KG, Sanders J, Sonke G, ten Hoeve J, van de Velde T, van den Berg J, Voest E, Steinhardt G, Kadri S, Pankhuri W, Wang P, Segal J, Moung C, Espinosa-Mendez C, Martell HJ, Onodera C, Quintanar Alfaro A, Sweet-Cordero EA, Talevich E, Turski M, Van’t Veer L, Wren A, Aguilar S, Dienstmann R, Mancuso F, Nuciforo P, Tabernero J, Viaplana C, Vivancos A, Anderson I, Chaugai S, Coco J, Fabbri D, Johnson D, Jones L, Li X, Lovly C, Mishra S, Mittendorf K, Wen L, Yang YJ, Ye C, Holt M, LeNoue-Newton ML, Micheel CM, Park BH, Rubinstein SM, Stricker T, Wang L, Warner J, Guan M, Jin G, Liu L, Topaloglu U, Urtis C, Zhang W, D’Eletto M, Hutchison S, Longtine J, Walther Z. Genomic analysis of early-stage lung cancer reveals a role for TP53 mutations in distant metastasis. Sci Rep 2022; 12:19055. [PMID: 36351964 PMCID: PMC9646734 DOI: 10.1038/s41598-022-21448-1] [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: 03/11/2022] [Accepted: 09/27/2022] [Indexed: 11/10/2022] Open
Abstract
Patients with non-small cell lung cancer (NSCLC) who have distant metastases have a poor prognosis. To determine which genomic factors of the primary tumor are associated with metastasis, we analyzed data from 759 patients originally diagnosed with stage I-III NSCLC as part of the AACR Project GENIE Biopharma Collaborative consortium. We found that TP53 mutations were significantly associated with the development of new distant metastases. TP53 mutations were also more prevalent in patients with a history of smoking, suggesting that these patients may be at increased risk for distant metastasis. Our results suggest that additional investigation of the optimal management of patients with early-stage NSCLC harboring TP53 mutations at diagnosis is warranted in light of their higher likelihood of developing new distant metastases.
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Affiliation(s)
- Debra Van Egeren
- grid.65499.370000 0001 2106 9910Department of Data Science, Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Systems Biology, Harvard Medical School, Boston, MA USA ,grid.2515.30000 0004 0378 8438Stem Cell Program, Boston Children’s Hospital, Boston, MA USA ,grid.5386.8000000041936877XDepartment of Medicine, Weill Cornell Medicine, New York, NY USA
| | - Khushi Kohli
- grid.65499.370000 0001 2106 9910Department of Data Science, Dana-Farber Cancer Institute, Boston, MA USA
| | - Jeremy L. Warner
- grid.152326.10000 0001 2264 7217Department of Medicine, Vanderbilt University, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Department of Biomedical Informatics, Vanderbilt University, Nashville, TN USA
| | - Philippe L. Bedard
- grid.17063.330000 0001 2157 2938Department of Medicine, University of Toronto, Toronto, ON Canada
| | - Gregory Riely
- grid.51462.340000 0001 2171 9952Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Eva Lepisto
- grid.65499.370000 0001 2106 9910Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA ,grid.429426.f0000 0000 9350 5788Present Address: Multiple Myeloma Research Foundation, Norwalk, CT USA
| | - Deborah Schrag
- grid.51462.340000 0001 2171 9952Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Michele LeNoue-Newton
- grid.412807.80000 0004 1936 9916Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN USA
| | - Paul Catalano
- grid.65499.370000 0001 2106 9910Department of Data Science, Dana-Farber Cancer Institute, Boston, MA USA
| | - Kenneth L. Kehl
- grid.65499.370000 0001 2106 9910Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA
| | - Franziska Michor
- grid.65499.370000 0001 2106 9910Department of Data Science, Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA ,grid.65499.370000 0001 2106 9910The Center for Cancer Evolution, Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XThe Ludwig Center at Harvard, Boston, MA USA
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23
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Intraoperative Tumor Detection Using Pafolacianine. Int J Mol Sci 2022; 23:ijms232112842. [PMID: 36361630 PMCID: PMC9658182 DOI: 10.3390/ijms232112842] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/16/2022] [Accepted: 10/21/2022] [Indexed: 12/24/2022] Open
Abstract
Cancer is a leading cause of death worldwide, with increasing numbers of new cases each year. For the vast majority of cancer patients, surgery is the most effective procedure for the complete removal of the malignant tissue. However, relapse due to the incomplete resection of the tumor occurs very often, as the surgeon must rely primarily on visual and tactile feedback. Intraoperative near-infrared imaging with pafolacianine is a newly developed technology designed for cancer detection during surgery, which has been proven to show excellent results in terms of safety and efficacy. Therefore, pafolacianine was approved by the U.S. Food and Drug Administration (FDA) on 29 November 2021, as an additional approach that can be used to identify malignant lesions and to ensure the total resection of the tumors in ovarian cancer patients. Currently, various studies have demonstrated the positive effects of pafolacianine’s use in a wide variety of other malignancies, with promising results expected in further research. This review focuses on the applications of the FDA-approved pafolacianine for the accurate intraoperative detection of malignant tissues. The cancer-targeting fluorescent ligands can shift the paradigm of surgical oncology by enabling the visualization of cancer lesions that are difficult to detect by inspection or palpation. The enhanced detection and removal of hard-to-detect cancer tissues during surgery will lead to remarkable outcomes for cancer patients and society, specifically by decreasing the cancer relapse rate, increasing the life expectancy and quality of life, and decreasing future rates of hospitalization, interventions, and costs.
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Shah D, Joshi M, Patel BM. Role of NIMA‐related kinase 2 in lung cancer: Mechanisms and therapeutic prospects. Fundam Clin Pharmacol 2022; 36:766-776. [DOI: 10.1111/fcp.12777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 03/10/2022] [Accepted: 03/24/2022] [Indexed: 01/04/2023]
Affiliation(s)
- Darshak Shah
- Institute of Pharmacy Nirma University Ahmedabad India
| | - Mit Joshi
- Institute of Pharmacy Nirma University Ahmedabad India
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25
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Zitnay RG, Herron MR, Carney KR, Potter S, Emerson LL, Weiss JA, Mendoza MC. Mechanics of lung cancer: A finite element model shows strain amplification during early tumorigenesis. PLoS Comput Biol 2022; 18:e1010153. [PMID: 36279309 PMCID: PMC9632844 DOI: 10.1371/journal.pcbi.1010153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/03/2022] [Accepted: 10/06/2022] [Indexed: 11/05/2022] Open
Abstract
Early lung cancer lesions develop within a unique microenvironment that undergoes constant cyclic stretch from respiration. While tumor stiffening is an established driver of tumor progression, the contribution of stress and strain to lung cancer is unknown. We developed tissue scale finite element models of lung tissue to test how early lesions alter respiration-induced strain. We found that an early tumor, represented as alveolar filling, amplified the strain experienced in the adjacent alveolar walls. Tumor stiffening further increased the amplitude of the strain in the adjacent alveolar walls and extended the strain amplification deeper into the normal lung. In contrast, the strain experienced in the tumor proper was less than the applied strain, although regions of amplification appeared at the tumor edge. Measurements of the alveolar wall thickness in clinical and mouse model samples of lung adenocarcinoma (LUAD) showed wall thickening adjacent to the tumors, consistent with cellular response to strain. Modeling alveolar wall thickening by encircling the tumor with thickened walls moved the strain amplification radially outward, to the next adjacent alveolus. Simulating iterative thickening in response to amplified strain produced tracks of thickened walls. We observed such tracks in early-stage clinical samples. The tracks were populated with invading tumor cells, suggesting that strain amplification in very early lung lesions could guide pro-invasive remodeling of the tumor microenvironment. The simulation results and tumor measurements suggest that cells at the edge of a lung tumor and in surrounding alveolar walls experience increased strain during respiration that could promote tumor progression.
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Affiliation(s)
- Rebecca G. Zitnay
- Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America
- Huntsman Cancer Institute, Salt Lake City, Utah, United States of America
| | - Michael R. Herron
- Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America
| | - Keith R. Carney
- Department of Oncological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Scott Potter
- Huntsman Cancer Institute, Salt Lake City, Utah, United States of America
- Department of Pathology, University of Utah, Salt Lake City, Utah, United States of America
| | - Lyska L. Emerson
- Huntsman Cancer Institute, Salt Lake City, Utah, United States of America
- Department of Pathology, University of Utah, Salt Lake City, Utah, United States of America
| | - Jeffrey A. Weiss
- Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America
- Scientific Computing and Imaging Institute, Salt Lake City, Utah, United States of America
| | - Michelle C. Mendoza
- Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America
- Huntsman Cancer Institute, Salt Lake City, Utah, United States of America
- Department of Oncological Sciences, University of Utah, Salt Lake City, Utah, United States of America
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26
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Wang ZH, Deng L. Establishment and Validation of a Predictive Nomogram for Postoperative Survival of Stage I Non-Small Cell Lung Cancer. Int J Gen Med 2022; 15:7287-7298. [PMID: 36133910 PMCID: PMC9483139 DOI: 10.2147/ijgm.s361179] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/07/2022] [Indexed: 11/23/2022] Open
Abstract
Background Surgical procedure is the preferred option for people with early-stage non-small cell lung cancer (NSCLC), while nearly 30% of patients experienced metastatic or recurrent tumor after operation. The primary intention of this context is to summarize high-risk prognostic factors and set up a novel nomogram to predict the overall survival of individuals with stage I NSCLC after resection. Methods Research objects, 10,218 patients with stage I NSCLC after operation from 2010 to 2015, were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors, confirmed by Cox regression analyses, were integrated into a nomogram, to predict the 3-and 5-year overall survival of these individuals. The model experienced internal validation of testing cohorts above and external validation crewed by 160 patients from China. Finally, the nomogram was evaluated through several verification methods such as concordance index (C-index), calibration plots and receiver operating characteristic curve (ROC). Results Multivariate analysis identified that age, gender, histologic type, differentiation class, type of operation, T stage and treatment were significant predictive factors for the survival of stage I NSCLC. Based on these factors, a nomogram was constructed to predict the 3- and 5-year overall survival of these individuals. Meanwhile, in the training set, this nomogram displayed excellent superiority over the TNM staging system with abroad application, especially in C-index (0.669 vs 0.580) and the AUC (the Area Under ROC Curve) for the 3- and 5-year survival (0.678 vs 0.582; 0.650 vs 0.576). In the calibration curve, the curve representing predicted survival tended to align with the line representing actual survival as well. Conclusion A nomogram was successfully created and verified to achieve the goal that made a rounded accurate prediction on the survival of postoperative I NSCLC patients in terms of the SEER database.
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Affiliation(s)
- Zhi-Hui Wang
- Department of Medical Oncology, The Fifth People’s Hospital of Shenyang, Shenyang, People’s Republic of China
| | - Lili Deng
- Department of Medical Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
- Correspondence: Lili Deng, Department of Medical Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China, Email
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Borghetti P, Imbrescia J, Volpi G, Scotti V, Aquilano M, Bruni A, Franceschini D, Ursino S, Ciammella P, Piperno G, Taraborrelli M, Magrini SM. Chemo-radiotherapy plus durvalumab for loco-regional relapse of resected NSCLC. Radiat Oncol 2022; 17:124. [PMID: 35842660 PMCID: PMC9288672 DOI: 10.1186/s13014-022-02084-5] [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: 12/22/2021] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND tumor recurrence after NSCLC surgical resection is the most common cause of treatment failure that sharply reduces the patient's life expectancy. The optimal treatment strategy for loco-regional recurrences developing after surgical resection in patients with non-small-cell lung cancer (NSCLC) is not established yet. This report aims to describe the pattern of relapse, PFS, and OS in patients treated with radio-chemotherapy and durvalumab for loco-regional relapse after surgery. METHODS We conducted a multicenter, retrospective study including subjects who underwent surgical resection for NSCLC and were treated with Pacific protocol after loco-regional relapse. RESULTS Twenty-four patients met the inclusion criteria. At the time of diagnosis mean age was 65 years (range 47-78), the majority being male (58.3%). The 12-month progression-free survival rate was 68.7%, the 18-month progression-free survival rate was 45.8%, and the 24-month progression-free survival rate was 34.3%. There were three deaths: the 12-month survival rate was 91%, and the 18-month survival rate was 82.8%. CONCLUSIONS In this article, we propose a treatment strategy that might prolong post recurrence survival in patients with good performance status experiencing loco-regional relapse after surgery.
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Affiliation(s)
- Paolo Borghetti
- Radiation Oncology Department, ASST Spedali Civili and Brescia University, Brescia, Italy.
| | - Jessica Imbrescia
- Radiation Oncology Department, ASST Spedali Civili and Brescia University, Brescia, Italy
| | - Giulia Volpi
- Radiation Oncology Department, ASST Spedali Civili and Brescia University, Brescia, Italy
| | - Vieri Scotti
- Radiation Oncology Unit, Oncology Department AOU Careggi Firenze, Firenze, Italy
| | - Michele Aquilano
- Radiation Oncology Unit, Oncology Department AOU Careggi Firenze, Firenze, Italy
| | - Alessio Bruni
- Radiotherapy Unit, Department of Oncology and Hematology, University Hospital of Modena, Modena, Italy
| | - Davide Franceschini
- IRCCS Humanitas Research Hospital - Radiotherapy and Radiosurgery Department, Milan, Italy
| | - Stefano Ursino
- Radiation Oncology Unit, University Hospital Santa Chiara Pisa, Pisa, Italy
| | - Patrizia Ciammella
- Radiotherapy Unit, Department of Oncology and Advanced Technologies, AUSL-IRCCS, Reggio Emilia, Italy
| | - Gaia Piperno
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Maria Taraborrelli
- Radiation Oncology Unit, "SS Annunziata" Hospital, "G. D'Annunzio" University, Chieti, Italy
| | - Stefano Maria Magrini
- Radiation Oncology Department, ASST Spedali Civili and Brescia University, Brescia, Italy
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Moraes FY, Abreu CE, Siqueira GS, Haddad CK, Degrande FA, Hopman WM, Neves-Junior WF, Gadia R, Carvalho HA. Applying PET-CT for predicting the efficacy of SBRT to inoperable early-stage lung adenocarcinoma: A Brazilian case-series. LANCET REGIONAL HEALTH. AMERICAS 2022; 11:100241. [PMID: 36778931 PMCID: PMC9903613 DOI: 10.1016/j.lana.2022.100241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
BACKGROUND Stereotactic body radiotherapy (SBRT) is a treatment option for early-stage inoperable primary lung cancer. Here we report a thorough description of the prognostic value of pre-SBRT SUVmax for predicting the efficacy of SBRT in early-stage lung adenocarcinoma. METHODS This is a retrospective study of consecutive cases of early-stage inoperable lung adenocarcinoma, staged with PET-CT, treated with SBRT between 2007 and 17. Kaplan-Meier (KM) curves were used to assess overall survival and compare time to event between those with PET-CT SUVmax values ≤ 5.0 and those > 5. Fisher's Exact tests and the Mann-Whitney U were used to compare the patient and clinical data of those with SUVmax≤5.0 and >5.0, and those with and without any failure. FINDINGS Amongst 50 lung carcinoma lesions, from 47 patients (34 (68%)-T1a or <T1b), estimated median overall survival from the KM was 44.9 months (95% confidence interval 35.5-54.3). Five experienced a local failure, which was inadequate for detecting differences between those with PET-CT SUVmax ≤5.0 and those >5 (p = 0.112). In addition, 5 experienced a regional failure and 4 a distant failure. Higher PET-CT SUVmax values before SBRT were associated with an increased risk of any failure (36% versus 0%, p = 0.0040 on Fisher's Exact test) and faster time to event (p = 0.010, log rank test). Both acute and late toxicities profile were acceptable. INTERPRETATION Patients with early-stage inoperable lung adenocarcinoma present good clinical outcomes when treated with SBRT. We raised the hypothesis that the value of PET-CT SUVmax before SBRT may be an important predictive factor in disease control. FUNDING None.
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Affiliation(s)
- Fabio Y. Moraes
- Instituto de Ensino e Pesquisa do Hospital Sírio Libanês, R. Prof. Daher Cutait, 69 - Bela Vista, São Paulo, SP 01308-060, Brazil
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | | | | | - Cecilia K. Haddad
- Departamento de Radioterapia, Hospital Sírio Libanês, São Paulo, SP, Brazil
| | - Fabiana A.M. Degrande
- Departamento de Radioterapia, Hospital Sírio Libanês, São Paulo, SP, Brazil
- Departamento de Radioterapia, Hospital Santa Paula, São Paulo, SP, Brazil
| | - Wilma M. Hopman
- Department of Public Health Sciences, Queen's University, ON, Canada
| | | | - Rafael Gadia
- Departamento de Radioterapia, Hospital Sírio Libanês, Brasília, DF, Brazil
| | - Heloisa A. Carvalho
- Instituto de Ensino e Pesquisa do Hospital Sírio Libanês, R. Prof. Daher Cutait, 69 - Bela Vista, São Paulo, SP 01308-060, Brazil
- Departamento de Radioterapia, Hospital Sírio Libanês, São Paulo, SP, Brazil
- Departamento de Radiologia e Oncologia, Divisão de Radioterapia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
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[Clinical Characteristics and Risk Factors Analysis for Visceral Pleural Invasion in
Mixed Ground-glass Nodular Lung Adenocarcinoma]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2022; 25:236-244. [PMID: 35477187 PMCID: PMC9051305 DOI: 10.3779/j.issn.1009-3419.2022.102.07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Lung cancer is still the malignant tumor with the highest morbidity and mortality in China. Lung adenocarcinoma is the most common subtype, and the number of lung cancer presenting as mixed ground glass nodule (mGGN) in imaging is gradually increasing. Visceral pleural invasion (VPI) is an important factor affecting the prognosis of mGGN type lung adenocarcinoma. The aim of the study is to explore and analyze the risk factors for VPI in mGGN type lung adenocarcinoma. METHODS From November 2016 to November 2019, 128 patients with mGGN lung adenocarcinoma underwent radical surgical resection in the First Affiliated Hospital of Nanjing Medical University. Their clinical data, including imaging, pathological and biological features, were collected and analyzed retrospectively. There were 40 males and 88 females, aged 60.3±9.3 years ranging from 30 to 81 years. Single factor Chi-square test and multivariate Logistic regression were used to analyze the risk factors of VPI in mGGN type lung adenocarcinoma. RESULTS Among 128 mGGN patients who met the inclusion criteria, 57 cases were pathologically confirmed with pleural invasion. Between the VPI (+) and VPI (-) group (P<0.05), there were significant differences in gender, maximum diameter of solid component, consolidation tumor ratio (CTR), spicule sign, history of lung disease, family history of hypertension, relation of lesion to pleura (RLP), coursing relationship between bronchi and nodules. In multivariate Logistic regression analysis, RLP (OR=3.529, 95%CI: 1.430-8.713, P=0.006) and coursing relationship between bronchi and nodules (OR=3.993, 95%CI: 1.517-10.51, P=0.005) were found to be independent risk factors for VPI (P<0.05). CONCLUSIONS The possibility of VPI in m GGN lung adenocarcinoma should be evaluated by combining these parameters in clinical diagnosis and treatment. As independent risk factors, RLP and coursing relationship between bronchi and nodules are instructive to identify VPI in mGGN type lung adenocarcinoma.
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Zhai W, Gong L, Zheng Y, Yan Q, Lai R, Liang D, Wong W, Dai S, Wang J. Ground Glass Opacity and Adjuvant Chemotherapy in Pathological Stage IB-IIA Lung Adenocarcinoma. Front Oncol 2022; 12:851276. [PMID: 35402251 PMCID: PMC8990754 DOI: 10.3389/fonc.2022.851276] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background The prognostic value of ground glass opacity (GGO) in stage IA non-small cell lung cancer (NSCLC) has been widely recognized. However, studies investigating its value in the related stage IB-IIA lung adenocarcinoma (LUAD) remains lacking. The impact of adjuvant chemotherapy (ACT) on pathological stage IB-IIA LUAD is also controversial. Materials and Methods We retrospectively reviewed the clinical records of 501 patients with pathological stage IB-IIA LUAD at the Sun Yat-sen University Cancer Center from January 2008 to June 2018. We calculated and compared survival curves using the Kaplan-Meier test and log-rank test. Cox regression models were performed to determine independent prognostic factors of disease-free survival (DFS) and overall survival (OS). We established nomograms to predict the OS and DFS of LUAD patients. Calibration and receiver operator characteristic curves were conducted to assess the predictive performance of two nomograms. Based on the nomogram, we identified candidate patients that may most benefit from ACT after surgery. Results The number of patients with pure solid, part GGO, and pure GGO nodules was 240, 242, and 19, respectively, and 125 patients who received ACT. Patients with consolidation-to-tumor ratio (CTR) <0.75 had longer OS (P = 0.026) and DFS (P = 0.003). Pathological tumor size and at least 10 lymph nodes (LNs) resection were independent prognostic factors of both OS and DFS. CTR <0.75 was positively associated with DFS. The C-index of nomograms predicting individual OS and DFS was 0.660 and 0.634, respectively. Based on the nomogram for OS, ACT was found to be a positive prognostic indicator of OS (P = 0.031, HR = 0.5141, 95% CI 0.281-0.942) in patients with nomogram total points ≥5. Conclusion CTR <0.75 is associated with a better DFS in patients with stage IB-IIA LUAD. Nomograms developed by integrating pathological tumor size, at least 10 LNs resection, and CTR ≥0.75 for predicting individual OS and DFS displayed a good predictive capacity and clinical value, which were also proved to be a useful tool for selecting patients most benefiting from ACT.
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Affiliation(s)
- Wenyu Zhai
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li Gong
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yuzhen Zheng
- Department of Thoracic Surgery, The Second Department of Surgery, Sun Yat-sen University Sixth Affiliated Hospital, Guangzhou, China
| | - Qihang Yan
- Department of Thoracic Surgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Renchun Lai
- Department of Anaesthesiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Dachuan Liang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wingshing Wong
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shuqin Dai
- Department of Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Junye Wang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
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Niimi T, Nakai T, Aokage K, Tane K, Miyoshi T, Samejima J, Miyazaki S, Taki T, Sakamoto N, Sakashita S, Watanabe R, Kojima M, Suzuki K, Tsuboi M, Ishii G. Prognostic impact of count of extratumoral lymphatic permeation in lung adenocarcinoma and its relation to immune microenvironment. Cancer Sci 2022; 113:1497-1506. [PMID: 35181964 PMCID: PMC8990291 DOI: 10.1111/cas.15267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/24/2021] [Accepted: 01/04/2022] [Indexed: 11/28/2022] Open
Abstract
Extratumoral lymphatic permeation (ly‐ext) has been reported as an independent poor prognostic factor for lung adenocarcinoma, but whether or not the number of ly‐ext foci is associated with prognosis and its relationship to the immune microenvironment is unclear. We counted the number of ly‐ext foci on pathological slides from patients with completely resected lung adenocarcinoma with ly‐ext, and divided them into two groups: a group with a high number of ly‐ext foci (ly‐ext high) and one with a low number of ly‐ext foci (ly‐ext low). Among the patients with ly‐ext, only a high number of ly‐ext foci was an independent poor prognostic factor. The 3‐year recurrence‐free survival (RFS) rate of the ly‐ext high group was significantly lower than that of the ly‐ext low group (14.7% vs. 50.0%, P < 0.01). Then, we analyzed the immune microenvironment of pT1 lung adenocarcinoma with ly‐ext (13 cases of ly‐ext high and 11 cases of ly‐ext low tumor) by immunohistochemistry using antibodies for stem cell markers (aldehyde dehydrogenase 1 A1 and CD44), tumor‐promoting mucin (MUC1), tumor‐infiltrating lymphocytes (CD4, CD8, FOXP3, and CD79a), and tumor‐associated macrophages (CD204). The number of CD8+ TILs within the primary lesion was significantly lower and the number of FOXP3+ TILs within the primary lesion was significantly higher in the ly‐ext high group (P < 0.05 and P < 0.01, respectively). Our results indicated that a high number of ly‐ext foci was an independent poor prognostic factor. Moreover, tumors with high numbers of ly‐ext foci had a more immunosuppressive microenvironment.
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Affiliation(s)
- Takahiro Niimi
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
- Department of Thoracic Surgery National Cancer Center Hospital East Kashiwa Chiba Japan
- Departments of General Thoracic Surgery Juntendo University School of Medicine Tokyo Japan
| | - Tokiko Nakai
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Keiju Aokage
- Department of Thoracic Surgery National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Kenta Tane
- Department of Thoracic Surgery National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Tomohiro Miyoshi
- Department of Thoracic Surgery National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Joji Samejima
- Department of Thoracic Surgery National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Saori Miyazaki
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Tetsuro Taki
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Naoya Sakamoto
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Shingo Sakashita
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Reiko Watanabe
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Motohiro Kojima
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Kenji Suzuki
- Departments of General Thoracic Surgery Juntendo University School of Medicine Tokyo Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery National Cancer Center Hospital East Kashiwa Chiba Japan
| | - Genichiro Ishii
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Kashiwa Chiba Japan
- Division of Innovative Pathology and Laboratory Medicine Exploratory Oncology Research and Clinical Trial Center National Cancer Center Kashiwa Chiba Japan
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Mukkamala R, Lindeman SD, Kragness KA, Shahriar I, Srinivasarao M, Low PS. Design and Characterization of Fibroblast Activation Protein Targeted Pan-Cancer Imaging Agent for Fluorescence-Guided Surgery of Solid Tumors. J Mater Chem B 2022; 10:2038-2046. [PMID: 35255116 DOI: 10.1039/d1tb02651h] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Tumor-targeted fluorescent dyes have been shown to significantly improve a surgeon's ability to locate and resect occult malignant lesions, thereby enhancing a patient’s chances of long term survival. Although several...
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Affiliation(s)
- Ramesh Mukkamala
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, Indiana 47907, USA.
| | - Spencer D Lindeman
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, Indiana 47907, USA.
| | - Kate A Kragness
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, Indiana 47907, USA.
| | - Imrul Shahriar
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, Indiana 47907, USA.
| | - Madduri Srinivasarao
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, Indiana 47907, USA.
| | - Philip S Low
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, Indiana 47907, USA.
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Steinfort DP, Rangamuwa K. A glimpse of the future?-bronchoscopic ablation of peripheral early stage lung cancer. Transl Lung Cancer Res 2021; 10:3861-3864. [PMID: 34858776 PMCID: PMC8577971 DOI: 10.21037/tlcr-21-763] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 09/29/2021] [Indexed: 12/25/2022]
Affiliation(s)
- Daniel P Steinfort
- Department of Respiratory, Royal Melbourne Hospital, Melbourne, Australia.,Department of Medicine, Faculty of Medicine, Dentistry & Health Sciences, University of Melbourne, Melbourne, Australia
| | - Kanishka Rangamuwa
- Department of Respiratory, Royal Melbourne Hospital, Melbourne, Australia.,Department of Medicine, Faculty of Medicine, Dentistry & Health Sciences, University of Melbourne, Melbourne, Australia
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Zhai W, Duan F, Li D, Yan Q, Dai S, Zhang B, Wang J. Risk stratification and adjuvant chemotherapy after radical resection based on the clinical risk scores of patients with stage IB-IIA non-small cell lung cancer. Eur J Surg Oncol 2021; 48:752-760. [PMID: 34620508 DOI: 10.1016/j.ejso.2021.09.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/11/2021] [Accepted: 09/29/2021] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Despite the heterogeneity among patients with stage IB-IIA non-small cell lung cancer (NSCLC), clinically applicable models to identify patients most suitable for receiving adjuvant chemotherapy (ACT) are limited. We aimed to develop a model for risk stratification and the individualized application of ACT. METHODS Between January 2008 and March 2018, patients with T2N0M0 NSCLC at Sun Yat-sen University Cancer Center were retrospectively enrolled. Survival curves were estimated by Kaplan-Meier method and compared with log-rank test. Cox regression models were used to identify prognostic factors for disease-free survival (DFS) and overall survival (OS). Propensity score matching (PSM) was implemented. Subgroup analysis was performed based on clinical risk score (CRS) value and epidermal growth factor receptor (EGFR) mutation status. RESULTS Of 1063 patients with T2N0 NSCLC enrolled, 272 patients received ACT. Before PSM, patients with high CRS (>1) had a significantly worse OS and DFS outcomes. In the PSM, the baseline characteristics of the 270 pairs of patients were well matched. ACT was associated with improved OS outcomes for patients with a high CRS, while ACT was associated with improved OS and DFS outcomes in patients with wild-type EGFR. The interaction analysis showed an apparent interaction effect between ACT and EGFR-activating mutations as well as chemotherapy regimens and histology. CONCLUSIONS The CRS can predict the prognosis of patients with stage IB-IIA NSCLC. ACT could improve the outcome of patients with a high CRS. Patients with non-squamous cell histology receiving pemetrexed plus platinum might benefit more, but not those with EGFR-activating mutations.
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Affiliation(s)
- Wenyu Zhai
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Fangfang Duan
- VIP Region, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Dongxia Li
- The Second Department of Surgery, Sun Yat-sen University Sixth Affiliated Hospital, Guangzhou, Guangdong, PR China
| | - Qihang Yan
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Shuqin Dai
- Department of Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China
| | - Bei Zhang
- VIP Region, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China.
| | - Junye Wang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China.
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Gupta AR, Woodard GA, Jablons DM, Mann MJ, Kratz JR. Improved outcomes and staging in non-small-cell lung cancer guided by a molecular assay. Future Oncol 2021; 17:4785-4795. [PMID: 34435876 PMCID: PMC9039775 DOI: 10.2217/fon-2021-0517] [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] [Indexed: 01/02/2023] Open
Abstract
There remains a critical need for improved staging of non-small-cell lung cancer, as recurrence and mortality due to undetectable metastases at the time of surgery remain high even after complete resection of tumors currently categorized as ‘early stage.’ A 14-gene quantitative PCR-based expression profile has been extensively validated to better identify patients at high-risk of 5-year mortality after surgical resection than conventional staging – mortality that almost always results from previously undetectable metastases. Furthermore, prospective studies now suggest a predictive benefit in disease-free survival when the assay is used to guide adjuvant chemotherapy decisions in early-stage non-small-cell lung cancer patients. There is a need for improvement in the way early-stage non-small-cell lung cancers are staged and treated because many patients with ‘early-stage’ disease suffer high rates of cancer recurrence after surgery. In recent years, a specialized test has been developed to allow better characterization of a tumor's risk of recurrence based on the genes being expressed by tumor cells. Use of this test, in conjunction with standard staging methods, is better able to identify patients at high risk of cancer recurrence after surgery. Evidence suggests that giving chemotherapy to patients at high risk of recurrence after surgery reduces recurrence rates and improves long-term patient survival.
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Affiliation(s)
- Alexander R Gupta
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Gavitt A Woodard
- Department of Surgery, Yale School of Medicine, New Haven, CT 06510, USA
| | - David M Jablons
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Michael J Mann
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Johannes R Kratz
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
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Ulrich B, Pradines A, Mazières J, Guibert N. Detection of Tumor Recurrence via Circulating Tumor DNA Profiling in Patients with Localized Lung Cancer: Clinical Considerations and Challenges. Cancers (Basel) 2021; 13:cancers13153759. [PMID: 34359659 PMCID: PMC8345193 DOI: 10.3390/cancers13153759] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 07/20/2021] [Accepted: 07/23/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Circulating tumor DNA is a novel biomarker with emerging uses in the clinical care of patients with cancer, including non-small-cell lung cancer. Already approved for use in various clinical settings in patients with metastatic non-small-cell lung cancer, recent research has focused on the ability of circulating tumor DNA to predict relapse of patients with localized disease after treatment with curative intent. Identifying patients at increased risk of relapse after treatment with curative intent remains challenging, but several groups have identified circulating tumor DNA kinetics as a potential means of aiding our risk stratification. Herein, we discuss current research that identifies longitudinal circulating tumor DNA kinetics as a highly sensitive and specific marker for relapse. Then, we identify important clinical considerations and challenges for moving forward with further studying and eventually using this biomarker for patients with localized disease in clinic. Abstract Approximately 30% of patients with non-small-cell lung cancer (NSCLC) present with localized/non-metastatic disease and are eligible for surgical resection or other “treatment with curative intent”. Due to the high prevalence of recurrence after treatment, adjuvant therapy is standard care for most patients. The effect of adjuvant chemotherapy is, however, modest, and new tools are needed to identify candidates for adjuvant treatments (chemotherapy, immunotherapy, or targeted therapies), especially since expanded lung cancer screening programs will increase the rate of patients detected with localized NSCLC. Circulating tumor DNA (ctDNA) has shown strong potential to detect minimal residual disease (MRD) and to guide adjuvant therapies. In this manuscript, we review the technical aspects and performances of the main ctDNA sequencing platforms (TRACERx, CAPP-seq) investigated in this purpose, and discuss the potential of this approach to guide or spare adjuvant therapies after definitive treatment of NSCLC.
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Affiliation(s)
- Bryan Ulrich
- Internal Medicine Department, Massachusetts General Hospital, Boston, MA 02114, USA;
| | - Anne Pradines
- Cancer Research Centre of Toulouse (CRCT), Inserm, National Scientific Research Centre (CNRS), 31100 Toulouse, France; (A.P.); (J.M.)
- Medical Laboratory, Claudius Regaud Institute, Toulouse University Cancer Institute (IUCT-O), 31100 Toulouse, France
| | - Julien Mazières
- Cancer Research Centre of Toulouse (CRCT), Inserm, National Scientific Research Centre (CNRS), 31100 Toulouse, France; (A.P.); (J.M.)
- Pulmonology Department, Hôpital Larrey, University Hospital of Toulouse, 31059 Toulouse, France
| | - Nicolas Guibert
- Cancer Research Centre of Toulouse (CRCT), Inserm, National Scientific Research Centre (CNRS), 31100 Toulouse, France; (A.P.); (J.M.)
- Pulmonology Department, Hôpital Larrey, University Hospital of Toulouse, 31059 Toulouse, France
- Correspondence: ; Tel.: +33-567771836
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Xu C, Liu W, Li L, Wang Y, Yuan Q. Serum tumour M2-pyruvate kinase as a biomarker for diagnosis and prognosis of early-stage non-small cell lung cancer. J Cell Mol Med 2021; 25:7335-7341. [PMID: 34255923 PMCID: PMC8335667 DOI: 10.1111/jcmm.16762] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 05/10/2021] [Accepted: 06/15/2021] [Indexed: 01/16/2023] Open
Abstract
Tumour M2-pyruvate kinase (TUM2-PK) is up-regulated in many human cancers. This study was to evaluate the clinical value of serum TUM2-PK in early-stage non-small cell lung cancer (NSCLC) patients. A total of 162 consecutive early-stage NSCLC patients were enrolled and followed up after tumour resection. Serum TUM2-PK level was detected by enzyme-linked immunosorbent assay (ELISA) in NSCLC patients, 50 benign pulmonary disease patients and 102 healthy controls. The TUM2-PK level in NSCLC patients was higher than that of healthy controls (P < .001) and benign pulmonary disease patients (P < .001). A threshold of 30 U/mL could be used to diagnose early-stage NSCLC with 71.6% sensitivity and 98.0% specificity. The 5-year overall survival rate in patients with high TUM2-PK level was lower than that of patients with low TUM2-PK level (P = .009). Multivariable Cox regression showed that high TUM2-PK level was an independent risk factor for overall survival (HR = 2.595, 95% CI: 1.231-5.474, P = .012). High serum TUM2-PK level could be a potential biomarker for diagnosis and prognosis of early-stage NSCLC patients.
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Affiliation(s)
- Chunhua Xu
- Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China.,Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Wei Liu
- Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China.,Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Li Li
- Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China.,Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yuchao Wang
- Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China.,Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Qi Yuan
- Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China.,Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
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Wang X, Bera K, Barrera C, Zhou Y, Lu C, Vaidya P, Fu P, Yang M, Schmid RA, Berezowska S, Choi H, Velcheti V, Madabhushi A. A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer. EBioMedicine 2021; 69:103481. [PMID: 34265509 PMCID: PMC8282972 DOI: 10.1016/j.ebiom.2021.103481] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 12/02/2022] Open
Abstract
Poster presentation at the USCAP 108th Annual Meeting, March 16–21, 2019.
Background We developed and validated a prognostic and predictive computational pathology risk score (CoRiS) using H&E stained tissue images from patients with early-stage non-small cell lung cancer (ES-NSCLC). Methods 1330 patients with ES-NSCLC were acquired from 3 independent sources and divided into four cohorts D1-4. D1 comprised 100 surgery treated patients and was used to identify prognostic features via an elastic-net Cox model to predict overall and disease-free survival. CoRiS was constructed using the Cox model coefficients for the top features. The prognostic performance of CoRiS was evaluated on D2 (N=331), D3 (N=657) and D4 (N=242). Patients from D2 and D3 which comprised surgery + chemotherapy were used to validate CoRiS as predictive of added benefit to adjuvant chemotherapy (ACT) by comparing survival between different CoRiS defined risk groups. Findings CoRiS was found to be prognostic on univariable analysis, D2 (hazard ratio (HR) = 1.41, adjusted (adj.) P = .01) and D3 (HR = 1.35, adj. P < .001). Multivariable analysis showed CoRiS was independently prognostic, D2 (HR = 1.41, adj. P < .001) and D3 (HR = 1.35, adj. P < .001), after adjusting for clinico-pathologic factors. CoRiS was also able to identify high-risk patients who derived survival benefit from ACT D2 (HR = 0.42, adj. P = .006) and D3 (HR = 0.46, adj. P = .08). Interpretation CoRiS is a tissue non-destructive, quantitative and low-cost tool that could potentially help guide management of ES-NSCLC patients.
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Affiliation(s)
- Xiangxue Wang
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA
| | - Kaustav Bera
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA
| | - Cristian Barrera
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA
| | - Yu Zhou
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA
| | - Cheng Lu
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA
| | - Pranjal Vaidya
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA
| | - Pingfu Fu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, OH, USA
| | - Michael Yang
- Department of Pathology-Anatomic, University Hospitals, OH, USA
| | | | - Sabina Berezowska
- Institute of Pathology, University of Bern, Bern, Switzerland; Department of Laboratory Medicine and Pathology, Institute of Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Humberto Choi
- Department of Pulmonary and Critical Care Medicine, Respiratory Institute, Cleveland Clinic Foundation, OH, USA
| | | | - Anant Madabhushi
- Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, OH, USA; Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, OH, USA.
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Nguyen Van N, Hung PN, Dung LT, Anh LV, Pho DC, Anh BDT, Hai VA. Short-Term and Mid-Term Outcomes of Video-Assisted Thoracic Surgery in Patients with Early-Stage Non-Small Cell Lung Cancer. OPEN ACCESS SURGERY 2021. [DOI: 10.2147/oas.s315389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Epidural Anesthesia-Analgesia and Recurrence-free Survival after Lung Cancer Surgery: A Randomized Trial. Anesthesiology 2021; 135:419-432. [PMID: 34192298 DOI: 10.1097/aln.0000000000003873] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Regional anesthesia and analgesia reduce the stress response to surgery and decrease the need for volatile anesthesia and opioids, thereby preserving cancer-specific immune defenses. This study therefore tested the primary hypothesis that combining epidural anesthesia-analgesia with general anesthesia improves recurrence-free survival after lung cancer surgery. METHODS Adults scheduled for video-assisted thoracoscopic lung cancer resections were randomized 1:1 to general anesthesia and intravenous opioid analgesia or combined epidural-general anesthesia and epidural analgesia. The primary outcome was recurrence-free survival (time from surgery to the earliest date of recurrence/metastasis or all-cause death). Secondary outcomes included overall survival (time from surgery to all-cause death) and cancer-specific survival (time from surgery to cancer-specific death). Long-term outcome assessors were blinded to treatment. RESULTS Between May 2015 and November 2017, 400 patients were enrolled and randomized to general anesthesia alone (n = 200) or combined epidural-general anesthesia (n = 200). All were included in the analysis. The median follow-up duration was 32 months (interquartile range, 24 to 48). Recurrence-free survival was similar in each group, with 54 events (27%) with general anesthesia alone versus 48 events (24%) with combined epidural-general anesthesia (adjusted hazard ratio, 0.90; 95% CI, 0.60 to 1.35; P = 0.608). Overall survival was also similar with 25 events (13%) versus 31 (16%; adjusted hazard ratio, 1.12; 95% CI, 0.64 to 1.96; P = 0.697). There was also no significant difference in cancer-specific survival with 24 events (12%) versus 29 (15%; adjusted hazard ratio, 1.08; 95% CI, 0.61 to 1.91; P = 0.802). Patients assigned to combined epidural-general had more intraoperative hypotension: 94 patients (47%) versus 121 (61%; relative risk, 1.29; 95% CI, 1.07 to 1.55; P = 0.007). CONCLUSIONS Epidural anesthesia-analgesia for major lung cancer surgery did not improve recurrence-free, overall, or cancer-specific survival compared with general anesthesia alone, although the CI included both substantial benefit and harm. EDITOR’S PERSPECTIVE
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Hu S, Luo M, Li Y. Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation. Cancer Manag Res 2021; 13:4811-4820. [PMID: 34168500 PMCID: PMC8217594 DOI: 10.2147/cmar.s313941] [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: 04/01/2021] [Accepted: 05/31/2021] [Indexed: 12/25/2022] Open
Abstract
Purpose The lymph node gross target volume (GTV) delineation in patients with non-small cell lung cancer (NSCLC) is crucial for prognosis. This study aimed to develop a predictive model that can be used to differentiate between lymph nodes micrometastasis (LNM) and non-lymph nodes micrometastasis (non-LNM). Patients and Methods A retrospective study involving 1524 patients diagnosed with NSCLC was collected in the First Hospital of Wuhan between January 1, 2017, and April 1, 2020. Duplicated and useless variables were excluded, and 16 candidate variables were selected for further analysis. The random forest (RF) algorithm and generalized linear (GL) algorithm were used to screen out the variables that greatly affected the LNM prediction, respectively. The area under the curve (AUC) was compared between the RF model and GL model. Results The RF model revealed that the variables, including pathology, degree of differentiation, maximum short diameter of lymph node, tumor diameter, pulmonary membrane invasion, clustered lymph nodes, and T stage, were more significant for LNM prediction. Multifactorial logistic regression analysis for the GL model indicated that vascular invasion, tumor diameter, degree of differentiation, pulmonary membrane invasion, and maximum standard uptake value (SUVmax) were positively associated with LNM. The AUC for the RF model and GL model was 0.83 (95% CI: 0.75 to 0.90) and 0.64 (95% CI: 0.60 to 0.70), respectively. Conclusion We successfully established an accurate and optimized RF model that could be used to predict LNM in patients with NSCLC. This model can be used to evaluate the risk of an individual patient experiencing LNM and therefore facilitate the choice of treatment.
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Affiliation(s)
- Shuli Hu
- Department of Intensive Care Unit, Wuhan No. 1 Hospital, Wuhan, 430022, People's Republic of China
| | - Man Luo
- Department of Oncology, Wuhan No.1 Hospital, Wuhan, 430022, People's Republic of China
| | - Yaling Li
- Department of Intensive Care Unit, Wuhan No. 1 Hospital, Wuhan, 430022, People's Republic of China
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Chen N, Li Q, Wang S, Xiong M, Luo Y, Wang B, Chen L, Lin M, Jiang X, Fang J, Guo S, Guo J, Hu N, Ai X, Wang D, Chu C, Liu F, Long H, Wang J, Qiu B, Liu H. Hypo-fractionated radiotherapy with concurrent chemotherapy for locoregional recurrence of non-small cell lung cancer after complete resection: A prospective, single-arm, phase II study (GASTO-1017). Lung Cancer 2021; 156:82-90. [PMID: 33933895 DOI: 10.1016/j.lungcan.2021.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/25/2021] [Accepted: 04/22/2021] [Indexed: 09/30/2022]
Abstract
OBJECTIVES To explore the efficacy and toxicities of split-course hypo-fractionated radiotherapy with concurrent chemotherapy (HFRT-CHT) with intensity modulated radiotherapy (IMRT) technique in non-small cell lung cancer (NSCLC) patients with postoperative locoregional recurrence (LRR). MATERIALS AND METHODS NSCLC patients were eligible if confirmed as LRR disease without distant metastasis after complete resection. HFRT-CHT using IMRT technique was administered with 51 Gy in 17 fractions or 40 Gy in 10 fractions as the first course followed by a break. Patients with no disease progression and no persistent Grade ≥2 toxicities had the second course of 15 Gy in 5 fractions or 28 Gy in 7 fractions as a boost. The primary endpoint was progression-free survival (PFS). RESULTS Fifty-eight patients were enrolled and analyzed. With a median follow-up of 23.9 months for all, the 2-year and 3-year PFS rate was 59.7 % and 46.4 %, the 2-year and 3-year OS rate was 72.5 % and 52.2 %, respectively, and a favorable objective response rate of 95.9 % was obtained after the whole courses protocol. Grade 3 acute pneumonitis and esophagitis occurred in 2 (3.4 %) and 7 (12.1 %) patients, and fatal pneumonitis was reported in one case (1.7 %). Exploratory subgroup analysis showed that performance status (PS) (PS 0 vs. 1: 2-year PFS, 88.1 % vs. 46.9 %,P = 0.001; 2-year OS, 100 % vs. 59.4 %, P < 0.001), recurrence site (single vs. multiple: 2-year PFS, 93.8 % vs. 47.4 %, P = 0.008; 2-year OS, 100 % vs. 63.0 %, P = 0.001), and gross tumor volume (GTV) (<50cm3 vs. ≥ 50cm3: 2-year PFS, 70.6 % vs. 46.2 %, P = 0.024; 2-year OS, 85.6 % vs. 57.4 %, P = 0.034) were significantly associated with PFS and OS. CONCLUSION Split-course HFRT-CHT with IMRT technique achieved promising disease control and satisfactory survival with moderate toxicities in postoperative LRR of NSCLC. Good PS, a single recurrence site and GTV<50cm3 tended to have prolonged PFS and OS. Early detection of LRR may improve the efficacy of HFRT-CHT.
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Affiliation(s)
- NaiBin Chen
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - QiWen Li
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - SiYu Wang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Lung Cancer Institute of Sun Yat-sen University, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - Mai Xiong
- Department of Cardiac Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - YiFeng Luo
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Bin Wang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - Li Chen
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - MaoSheng Lin
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - XiaoBo Jiang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - JianLan Fang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - SuPing Guo
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - JinYu Guo
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - Nan Hu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - XinLei Ai
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - DaQuan Wang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - Chu Chu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - FangJie Liu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - Hao Long
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Lung Cancer Institute of Sun Yat-sen University, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - JunYe Wang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Lung Cancer Institute of Sun Yat-sen University, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China
| | - Bo Qiu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China.
| | - Hui Liu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Lung Cancer Institute of Sun Yat-sen University, Guangzhou, China; Guangdong Association Study of Thoracic Oncology, Guangzhou, China.
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Zhang Y, Fan Q, Guo Y, Zhu K. Eight-gene signature predicts recurrence in lung adenocarcinoma. Cancer Biomark 2021; 28:447-457. [PMID: 32508318 DOI: 10.3233/cbm-190329] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Recurrence significantly influences the survival in patients with lung adenocarcinoma (LUAD). However, there are less gene signatures that predict recurrence risk of LUAD. OBJECTIVE We performed this study to construct a model to predict risk of recurrence in LUAD. METHODS RNA-seq data from 426 patients with LUAD were downloaded from The Cancer Genome Atlas (TCGA) and were randomly assigned into the training (n= 213) and validation set (n= 213). Differentially expressed genes (DEGs) between recurrent and non-recurrent tumors in the training set were identified. Recurrence-associated DEGs were selected using multivariate Cox regression analysis. The recurrence risk model that identifies patients at low and high risk for recurrence was constructed, followed by the validation of its performance in the validation set and a microarray dataset. RESULTS In total, 378 DEGs, including 20 recurrence-associated DEGs, were identified between the recurrent and non-recurrent tumors in the training set. The signatures of 8 genes (including AZGP1, INPP5J, MYBPH, SPIB, GUCA2A, HTR1B, SLC15A1 and TNFSF11) were used to construct the prognostic model to assess the risk of recurrence. This model indicated that patients with high risk scores had shorter recurrence-free survival time compared with patients with low risk scores. ROC curve analysis of this model showed it had high predictive accuracy (AUC > 0.8) to predict LUAD recurrence in the TCGA cohort (the training and validation sets) and GSE50081 dataset. This prognostic model showed high predictive power and performance in predicting recurrence in LUAD. CONCLUSION We concluded that this model might be of great value for evaluating the risk of recurrence of LUAD in clinics.
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Affiliation(s)
- Yongjian Zhang
- Department of Cardiothoracic Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.,Department of Cardiothoracic Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Qiang Fan
- Department of Oncology Radiology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.,Department of Cardiothoracic Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Yingying Guo
- Department of Cardiothoracic Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Koujun Zhu
- Department of Cardiothoracic Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
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Li Q, Ma L, Qiu B, Wen Y, Liang W, Hu W, Chen N, Zhang T, Xu S, Chen L, Guo M, Zhao Y, Liu S, Guo J, Wang J, Wang S, Wang X, Pang Q, Long H, Liu H. Benefit from Adjuvant TKIs Versus TKIs Plus Chemotherapy in EGFR-Mutant Stage III-pN2 Lung Adenocarcinoma. ACTA ACUST UNITED AC 2021; 28:1424-1436. [PMID: 33916930 PMCID: PMC8167779 DOI: 10.3390/curroncol28020135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 11/04/2020] [Accepted: 11/04/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Recent studies have demonstrated benefits from adjuvant tyrosine-kinase inhibitors (TKIs) compared with chemotherapy in non-small cell lung cancer. We launched a multi-center retrospective study to evaluate the efficacy and toxicity of adjuvant TKIs with or without chemotherapy in epidermal growth factor receptor (EGFR)-mutant stage III-pN2 lung adenocarcinoma. METHODS Two hundred and seventy-four consecutive cases with stage III-pN2 lung adenocarcinoma and complete resection have been investigated. Clinic-pathologic characteristics, adjuvant treatments, long-term survivals, and toxicities were documented. Risk factors of distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were evaluated. RESULTS There were 52 (19.0%) patients treated with adjuvant TKIs alone, 199 (72.6%) with adjuvant chemotherapy alone, and 23 (8.4%) with both. After a median follow-up time of 29 months, the two-year DMFS, DFS, and OS was 61.2%, 54.1%, and 91.2%, respectively. According to univariable analyses, the risk factors were lymphovascular invasion (p < 0.001), extranodal extension (p = 0.005), and adjuvant systemic therapy (p = 0.006) for DMFS, EGFR mutation type (p = 0.025), lymphovascular invasion (p = 0.013), extranodal extension (p = 0.004), and adjuvant systemic therapy (p < 0.001) for DFS, and EGFR mutation type (p < 0.001) for OS. Multivariable analyses indicated that the independent prognostic factors were adjuvant systemic therapy (TKIs vs. TKIs+chemotherapy, Harzard ratio (HR) = 0.40; p = 0.036; TKIs vs. chemotherapy, HR = 0.38; p = 0.004), lymphovascular invasion (yes vs. no, HR = 2.22; p = 0.001) for DMFS, and adjuvant systemic therapy (TKIs vs. TKIs+chemotherapy, HR = 0.42; p = 0.034; TKIs vs. chemotherapy, HR = 0.33; p < 0.001) for DFS. No significant difference was found in the incidence of Grade 3-4 toxicities between groups (p = 0.445). CONCLUSIONS Adjuvant TKIs might be a beneficial choice compared with adjuvant chemotherapy or combination systemic treatments.
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Affiliation(s)
- Qiwen Li
- State Key Laboratory of Oncology in South China, Department of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (Q.L.); (B.Q.); (Y.W.); (N.C.); (J.G.)
| | - Li Ma
- Department of Radiation Oncology, National Cancer Center, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China;
| | - Bo Qiu
- State Key Laboratory of Oncology in South China, Department of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (Q.L.); (B.Q.); (Y.W.); (N.C.); (J.G.)
| | - Yuzhi Wen
- State Key Laboratory of Oncology in South China, Department of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (Q.L.); (B.Q.); (Y.W.); (N.C.); (J.G.)
| | - Wenhua Liang
- State Key Laboratory of Respiratory Disease, Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center of Respiratory Disease, Guangzhou 510060, China; (W.L.); (M.G.); (Y.Z.)
| | - Wanming Hu
- State Key Laboratory of Oncology in South China, Department of Pathology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (W.H.); (S.L.)
| | - Naibin Chen
- State Key Laboratory of Oncology in South China, Department of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (Q.L.); (B.Q.); (Y.W.); (N.C.); (J.G.)
| | - Tian Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China; (T.Z.); (Q.P.)
| | - Shuangbing Xu
- Union Hospital Cancer Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China; (S.X.); (L.C.)
| | - Lingjuan Chen
- Union Hospital Cancer Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China; (S.X.); (L.C.)
| | - Minzhang Guo
- State Key Laboratory of Respiratory Disease, Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center of Respiratory Disease, Guangzhou 510060, China; (W.L.); (M.G.); (Y.Z.)
| | - Yi Zhao
- State Key Laboratory of Respiratory Disease, Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center of Respiratory Disease, Guangzhou 510060, China; (W.L.); (M.G.); (Y.Z.)
| | - Songran Liu
- State Key Laboratory of Oncology in South China, Department of Pathology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (W.H.); (S.L.)
| | - Jinyu Guo
- State Key Laboratory of Oncology in South China, Department of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (Q.L.); (B.Q.); (Y.W.); (N.C.); (J.G.)
| | - Junye Wang
- State Key Laboratory of Oncology in South China, Department of Thoracic Surgery, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.W.); (S.W.); (X.W.); (H.L.)
| | - Siyu Wang
- State Key Laboratory of Oncology in South China, Department of Thoracic Surgery, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.W.); (S.W.); (X.W.); (H.L.)
| | - Xin Wang
- State Key Laboratory of Oncology in South China, Department of Thoracic Surgery, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.W.); (S.W.); (X.W.); (H.L.)
| | - Qingsong Pang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China; (T.Z.); (Q.P.)
| | - Hao Long
- State Key Laboratory of Oncology in South China, Department of Thoracic Surgery, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.W.); (S.W.); (X.W.); (H.L.)
| | - Hui Liu
- State Key Laboratory of Oncology in South China, Department of Radiation Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (Q.L.); (B.Q.); (Y.W.); (N.C.); (J.G.)
- Correspondence: ; Tel.: +86-20-87343031; Fax: +86-20-87343492
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Osarogiagbon RU, Sineshaw HM, Lin CC, Jemal A. Institutional-Level Differences in Quality and Outcomes of Lung Cancer Resections in the United States. Chest 2021; 159:1630-1641. [PMID: 33197400 PMCID: PMC8147100 DOI: 10.1016/j.chest.2020.10.075] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/03/2020] [Accepted: 10/29/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Institutional-level disparities in non-small cell lung cancer (NSCLC) survival may be driven by reversible differences in care-delivery processes. We quantified the impact of differences in readily identifiable quality metrics on long-term survival disparities in resected NSCLC. RESEARCH QUESTION How do reversible differences in oncologic quality of care contribute to institutional-level disparities in early-stage NSCLC survival? STUDY DESIGN AND METHODS We retrospectively analyzed patients in the National Cancer Data Base who underwent NSCLC resection from 2004 through 2015 within institutions categorized as Community, Comprehensive Community, Integrated Network, Academic, and National Cancer Institute (NCI)-Designated Cancer Programs. We estimated percentages and adjusted ORs for six potentially avoidable poor-quality markers: incomplete resection, nonexamination of lymph nodes, nonanatomic resection, non-evidence-based use of adjuvant chemotherapy, non-evidence-based use of adjuvant radiation therapy, and 60-day postoperative mortality. By sequentially eliminating patients with poor-quality markers and calculating adjusted hazard ratios, we quantified their overall survival impact. RESULTS Of 169,775 patients, 7%, 46%, 10%, 24%, and 12% underwent surgery at Community, Comprehensive Community, Integrated Network, Academic, and NCI-Designated Cancer Programs, with 5-year overall survival rates of 52%, 56%, 58%, 60% and 66%, respectively. After the sequential elimination process, using NCI-Designated Cancer Centers as a reference, the adjusted hazard ratio for 5-year overall survival changed from 1.47 (95% CI, 1.41-1.53), 1.29 (95% CI, 1.25-1.33), 1.18 (95% CI, 1.14-1.23), and 1.20 (95% CI, 1.16-1.24) for Community, Comprehensive Community, Integrated Networks, and Academic Cancer Programs to 1.35 (95% CI, 1.28-1.42), 1.22 (95% CI, 1.17-1.26), 1.16 (95% CI, 1.11-1.22), and 1.17 (95% CI, 1.12-1.21), respectively (P < .001 for all comparisons with NCI-designated programs). Differences in quality of surgical resection and postoperative care accounted for 11% to 26% of the interinstitutional survival disparities. INTERPRETATION Targeting six readily identified poor-quality markers narrowed, but did not eliminate, institutional survival disparities. The greatest impact was in community programs. Residual factors driving persistent institution-level long-term NSCLC survival disparities must be characterized to eliminate them.
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Affiliation(s)
- Raymond U Osarogiagbon
- Thoracic Oncology Research Group, Multidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, TN.
| | - Helmneh M Sineshaw
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA
| | - Chun Chieh Lin
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA
| | - Ahmedin Jemal
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA
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Krivitsky TA, Wright GM, Al Zaidi M. A predictive model for identifying candidates for adjuvant chemotherapy based on recurrence risk profile of resected, node-negative (N0) non-small cell lung cancer. J Thorac Dis 2021; 13:149-159. [PMID: 33569195 PMCID: PMC7867833 DOI: 10.21037/jtd-20-2434] [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] [Indexed: 11/17/2022]
Abstract
Background The decision for administering adjuvant chemotherapy (AC) in completely resected node-negative non-small cell lung cancer (NSCLC) is guided by likelihood of disease recurrence or death based on tumor, node, metastasis (TNM) stage. However, within each TNM stage are sub-groups of patients that are more or less likely to relapse than stage alone predicts. Methods In this retrospective cohort study, prospective data from 394 consecutive patients who underwent complete resection of node-negative NSCLC without adjuvant therapies, between 2002 and 2019 was retrospectively analyzed. Independent tumor and host risk factors for recurrence were subjected to multivariate analysis to develop a predictive risk model distributing patients into low-risk or high-risk categories. Results Recurrence risk was independently predicted by a neutrophil:lymphocyte ratio (NLR) of ≥3.5 [hazard ratio (HR), 1.9; 95% confidence interval (CI), 1.1–3.5], visceral pleural invasion (HR, 2.2; 95% CI, 1.3–3.8), histopathology other than adenocarcinoma or squamous cell (HR, 2.6; 95% CI, 1.2–5.5) and tumor size >33 mm (HR, 3.9; 95% CI, 2.3–6.7). The specific combination of risk factors contributed to a score for a risk model which classified 9% of Stage I and 69% of Stage ≥II patients as high-risk. The predicted 5-year disease-free survival (DFS) for high-risk and low-risk patients as scored by the predictive model was 30% and 85%, respectively. Conclusions Our readily reproducible, low-technology model, developed from individually validated tumor/host risk factors, identified sub-groups of resected node-negative NSCLC patients at significantly discordant risk of recurrence to their TNM stage category.
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Affiliation(s)
- Timur A Krivitsky
- Department of General Medicine, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia.,Department of Medicine, Peninsula Health, Frankston, VIC, Australia
| | - Gavin M Wright
- Department of Cardiothoracic Surgery, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia.,Department of Surgery, Melbourne University, VIC, Australia.,Victorian Comprehensive Cancer Centre, Melbourne, VIC, Australia
| | - Muteb Al Zaidi
- Department of Cardiothoracic Surgery, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia.,Division of Thoracic Surgery, King Abdullah Medical City, Makkah, Saudi Arabia
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Prognostic significance of octamer-4 expression in primary lung adenocarcinoma. Asian J Surg 2020; 44:425-426. [PMID: 33280979 DOI: 10.1016/j.asjsur.2020.10.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 11/22/2022] Open
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Safi J, Gordon SW, Lee P, Li H, Nana-Sinkam P, Shah RD, Shepherd RW, Shojaee S. Endothelial growth factor receptor-mutant lung cancer and post-operative care management: one size does not fit all. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1697. [PMID: 33490209 PMCID: PMC7812195 DOI: 10.21037/atm-20-4408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Javeryah Safi
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Sarah W Gordon
- Department of Internal Medicine, Division of Hematology and Oncology, Virginia Commonwealth University, Richmond, VA, USA
| | - Peter Lee
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Howard Li
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Patrick Nana-Sinkam
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Rachit D Shah
- Department of Surgery, Division of Cardiothoracic surgery, Virginia Commonwealth University, Richmond, VA, USA
| | - Ray W Shepherd
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Samira Shojaee
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA
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Marcu LG. Imaging Biomarkers of Tumour Proliferation and Invasion for Personalised Lung Cancer Therapy. J Pers Med 2020; 10:jpm10040222. [PMID: 33198090 PMCID: PMC7711676 DOI: 10.3390/jpm10040222] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 11/03/2020] [Accepted: 11/10/2020] [Indexed: 12/28/2022] Open
Abstract
Personalised treatment in oncology has seen great developments over the last decade, due to both technological advances and more in-depth knowledge of radiobiological processes occurring in tumours. Lung cancer therapy is no exception, as new molecular targets have been identified to further increase treatment specificity and sensitivity. Yet, tumour resistance to treatment is still one of the main reasons for treatment failure. This is due to a number of factors, among which tumour proliferation, the presence of cancer stem cells and the metastatic potential of the primary tumour are key features that require better controlling to further improve cancer management in general, and lung cancer treatment in particular. Imaging biomarkers play a key role in the identification of biological particularities within tumours and therefore are an important component of treatment personalisation in radiotherapy. Imaging techniques such as PET, SPECT, MRI that employ tumour-specific biomarkers already play a critical role in patient stratification towards individualized treatment. The aim of the current paper is to describe the radiobiological challenges of lung cancer treatment in relation to the latest imaging biomarkers that can aid in the identification of hostile cellular features for further treatment adaptation and tailoring to the individual patient’s needs.
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Affiliation(s)
- Loredana G. Marcu
- Faculty of Informatics and Science, University of Oradea, 410087 Oradea, Romania;
- Cancer Research Institute, University of South Australia, Adelaide, SA 5001, Australia
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Wauthoz N, Rosière R, Amighi K. Inhaled cytotoxic chemotherapy: clinical challenges, recent developments, and future prospects. Expert Opin Drug Deliv 2020; 18:333-354. [PMID: 33050733 DOI: 10.1080/17425247.2021.1829590] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Since 1968, inhaled chemotherapy has been evaluated and has shown promising results up to phase II but has not yet reached the market. This is due to technological and clinical challenges that require to be overcome with the aim of optimizing the efficacy and the tolerance of drug to re-open new developments in this field. Moreover, recent changes in the therapeutic standard of care for treating the patient with lung cancer also open new opportunities to combine inhaled chemotherapy with standard treatments. AREAS COVERED Clinical and technological concerns are highlighted from the reported clinical trials made with inhaled cytotoxic chemotherapies. This work then focuses on new pharmaceutical developments using dry powder inhalers as inhalation devices and on formulation strategies based on controlled drug release and with sustained lung retention or based on nanomedicine. Finally, new clinical strategies are described in regard to the impact of the immunotherapy on the patient's standard of care. EXPERT OPINION The choice of the drug, inhalation device, and formulation strategy as well as the position of inhaled chemotherapy in the patient's clinical care are crucial factors in optimizing local tolerance and efficacy as well as in its scalability and applicability in clinical practice.
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Affiliation(s)
- Nathalie Wauthoz
- Unit of Pharmaceutics and Biopharmaceutics, Université Libre De Bruxelles, Brussels, Belgium
| | - Rémi Rosière
- Unit of Pharmaceutics and Biopharmaceutics, Université Libre De Bruxelles, Brussels, Belgium
| | - Karim Amighi
- Unit of Pharmaceutics and Biopharmaceutics, Université Libre De Bruxelles, Brussels, Belgium
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