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Nagahiro Saijo

Other affiliations: Harvard University
Bio: Nagahiro Saijo is an academic researcher from AstraZeneca. The author has contributed to research in topics: Lung cancer & Chemotherapy. The author has an hindex of 65, co-authored 386 publications receiving 28187 citations. Previous affiliations of Nagahiro Saijo include Harvard University.


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Journal ArticleDOI
TL;DR: Gefit inib is superior to carboplatin-paclitaxel as an initial treatment for pulmonary adenocarcinoma among nonsmokers or former light smokers in East Asia and the presence in the tumor of a mutation of the EGFR gene is a strong predictor of a better outcome with gefitinib.
Abstract: METHODS In this phase 3, open-label study, we randomly assigned previously untreated patients in East Asia who had advanced pulmonary adenocarcinoma and who were nonsmokers or former light smokers to receive gefitinib (250 mg per day) (609 patients) or carboplatin (at a dose calculated to produce an area under the curve of 5 or 6 mg per milliliter per minute) plus paclitaxel (200 mg per square meter of body-surface area) (608 patients). The primary end point was progression-free survival. RESULTS The 12-month rates of progression-free survival were 24.9% with gefitinib and 6.7% with carboplatin–paclitaxel. The study met its primary objective of showing the noninferiority of gefitinib and also showed its superiority, as compared with carboplatin– paclitaxel, with respect to progression-free survival in the intention-to-treat population (hazard ratio for progression or death, 0.74; 95% confidence interval [CI], 0.65 to 0.85; P<0.001). In the subgroup of 261 patients who were positive for the epidermal growth factor receptor gene (EGFR) mutation, progression-free survival was significantly longer among those who received gefitinib than among those who received carboplatin–paclitaxel (hazard ratio for progression or death, 0.48; 95% CI, 0.36 to 0.64; P<0.001), whereas in the subgroup of 176 patients who were negative for the mutation, progression-free survival was significantly longer among those who received carboplatin–paclitaxel (hazard ratio for progression or death with gefitinib, 2.85; 95% CI, 2.05 to 3.98; P<0.001). The most common adverse events were rash or acne (in 66.2% of patients) and diarrhea (46.6%) in the gefitinib group and neurotoxic effects (69.9%), neutropenia (67.1%), and alopecia (58.4%) in the carboplatin–paclitaxel group. CONCLUSIONS Gefitinib is superior to carboplatin–paclitaxel as an initial treatment for pulmonary adenocarcinoma among nonsmokers or former light smokers in East Asia. The presence in the tumor of a mutation of the EGFR gene is a strong predictor of a better outcome with gefitinib. (ClinicalTrials.gov number, NCT00322452.)

7,246 citations

Journal ArticleDOI
TL;DR: This new adenocarcinoma classification is needed to provide uniform terminology and diagnostic criteria, especially for bronchioloalveolar carcinoma (BAC), the overall approach to small nonresection cancer specimens, and for multidisciplinary strategic management of tissue for molecular and immunohistochemical studies.

3,850 citations

Journal ArticleDOI
Peter Goldstraw1, Kari Chansky, John Crowley, Ramón Rami-Porta2, Hisao Asamura3, Wilfried Ernst Erich Eberhardt4, Andrew G. Nicholson1, Patti A. Groome5, Alan Mitchell, Vanessa Bolejack, David Ball6, David G. Beer7, Ricardo Beyruti8, Frank C. Detterbeck9, Wilfried Eberhardt4, John G. Edwards10, Françoise Galateau-Salle11, Dorothy Giroux12, Fergus V. Gleeson13, James Huang14, Catherine Kennedy15, Jhingook Kim16, Young Tae Kim17, Laura Kingsbury12, Haruhiko Kondo18, Mark Krasnik19, Kaoru Kubota20, Antoon Lerut21, Gustavo Lyons, Mirella Marino, Edith M. Marom22, Jan P. van Meerbeeck23, Takashi Nakano24, Anna K. Nowak25, Michael D Peake26, Thomas W. Rice27, Kenneth E. Rosenzweig28, Enrico Ruffini29, Valerie W. Rusch14, Nagahiro Saijo, Paul Van Schil23, Jean-Paul Sculier30, Lynn Shemanski12, Kelly G. Stratton12, Kenji Suzuki31, Yuji Tachimori32, Charles F. Thomas33, William D. Travis14, Ming-Sound Tsao34, Andrew T. Turrisi35, Johan Vansteenkiste21, Hirokazu Watanabe, Yi-Long Wu, Paul Baas36, Jeremy J. Erasmus22, Seiki Hasegawa24, Kouki Inai37, Kemp H. Kernstine38, Hedy L. Kindler39, Lee M. Krug14, Kristiaan Nackaerts21, Harvey I. Pass40, David C. Rice22, Conrad Falkson5, Pier Luigi Filosso29, Giuseppe Giaccone41, Kazuya Kondo42, Marco Lucchi43, Meinoshin Okumura44, Eugene H. Blackstone27, F. Abad Cavaco, E. Ansótegui Barrera, J. Abal Arca, I. Parente Lamelas, A. Arnau Obrer45, R. Guijarro Jorge45, D. Ball6, G.K. Bascom46, A. I. Blanco Orozco, M. A. González Castro, M.G. Blum, D. Chimondeguy, V. Cvijanovic47, S. Defranchi48, B. de Olaiz Navarro, I. Escobar Campuzano2, I. Macía Vidueira2, E. Fernández Araujo49, F. Andreo García49, Kwun M. Fong, G. Francisco Corral, S. Cerezo González, J. Freixinet Gilart, L. García Arangüena, S. García Barajas50, P. Girard, Tuncay Göksel, M. T. González Budiño51, G. González Casaurrán50, J. A. Gullón Blanco, J. Hernández Hernández, H. Hernández Rodríguez, J. Herrero Collantes, M. Iglesias Heras, J. M. Izquierdo Elena, Erik Jakobsen, S. Kostas52, P. León Atance, A. Núñez Ares, M. Liao, M. Losanovscky, G. Lyons, R. Magaroles53, L. De Esteban Júlvez53, M. Mariñán Gorospe, Brian C. McCaughan15, Catherine J. Kennedy15, R. Melchor Íñiguez54, L. Miravet Sorribes, S. Naranjo Gozalo, C. Álvarez de Arriba, M. Núñez Delgado, J. Padilla Alarcón, J. C. Peñalver Cuesta, Jongsun Park16, H. Pass40, M. J. Pavón Fernández, Mara Rosenberg, Enrico Ruffini29, V. Rusch14, J. Sánchez de Cos Escuín, A. Saura Vinuesa, M. Serra Mitjans, Trond Eirik Strand, Dragan Subotic, S.G. Swisher22, Ricardo Mingarini Terra8, Charles R. Thomas33, Kurt G. Tournoy55, P. Van Schil23, M. Velasquez, Y.L. Wu, K. Yokoi 
Imperial College London1, University of Barcelona2, Keio University3, University of Duisburg-Essen4, Queen's University5, Peter MacCallum Cancer Centre6, University of Michigan7, University of São Paulo8, Yale University9, Northern General Hospital10, University of Caen Lower Normandy11, Fred Hutchinson Cancer Research Center12, University of Oxford13, Memorial Sloan Kettering Cancer Center14, University of Sydney15, Sungkyunkwan University16, Seoul National University17, Kyorin University18, University of Copenhagen19, Nippon Medical School20, Katholieke Universiteit Leuven21, University of Texas MD Anderson Cancer Center22, University of Antwerp23, Hyogo College of Medicine24, University of Western Australia25, Glenfield Hospital26, Cleveland Clinic27, Icahn School of Medicine at Mount Sinai28, University of Turin29, Université libre de Bruxelles30, Juntendo University31, National Cancer Research Institute32, Mayo Clinic33, University of Toronto34, Sinai Grace Hospital35, Netherlands Cancer Institute36, Hiroshima University37, City of Hope National Medical Center38, University of Chicago39, New York University40, Georgetown University41, University of Tokushima42, University of Pisa43, Osaka University44, University of Valencia45, Good Samaritan Hospital46, Military Medical Academy47, Fundación Favaloro48, Autonomous University of Barcelona49, Complutense University of Madrid50, University of Oviedo51, National and Kapodistrian University of Athens52, Rovira i Virgili University53, Autonomous University of Madrid54, Ghent University55
TL;DR: The methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition of the TNM Classification for lung cancer due to be published late 2016 are described.

2,826 citations

Journal ArticleDOI
TL;DR: EGFR mutations are the strongest predictive biomarker for PFS and tumor response to first-line gefitinib versus carboplatin/paclitaxel and the predictive value of EGFR gene copy number was driven by coexisting EGFR mutation (post hoc analysis).
Abstract: Purpose The results of the Iressa Pan-Asia Study (IPASS), which compared gefitinib and carboplatin/paclitaxel in previously untreated never-smokers and light ex-smokers with advanced pulmonary adenocarcinoma were published previously. This report presents overall survival (OS) and efficacy according to epidermal growth factor receptor (EGFR) biomarker status. Patients and Methods In all, 1,217 patients were randomly assigned. Biomarkers analyzed were EGFR mutation (amplification mutation refractory system; 437 patients evaluable), EGFR gene copy number (fluorescent in situ hybridization; 406 patients evaluable), and EGFR protein expression (immunohistochemistry; 365 patients evaluable). OS analysis was performed at 78% maturity. A Cox proportional hazards model was used to assess biomarker status by randomly assigned treatment interactions for progression-free survival (PFS) and OS. Results OS (954 deaths) was similar for gefitinib and carboplatin/paclitaxel with no significant difference between treatmen...

1,416 citations

Journal ArticleDOI
TL;DR: Irinotecan plus cisplatin is an effective treatment for metastatic small-cell lung cancer and severe or life-threatening diarrhea was more frequent in the irinotican-plus-cisplatin group than in the etoposide-plus -cis Platin group.
Abstract: Background Irinotecan hydrochloride, a topoisomerase I inhibitor, is effective against small-cell lung cancer. In a phase 2 study of irinotecan plus cisplatin in patients with extensive small-cell lung cancer, there was a high response rate and a promising median survival time. Methods We conducted a multicenter, randomized, phase 3 study in which we compared irinotecan plus cisplatin with etoposide plus cisplatin in patients with extensive (metastatic) small-cell lung cancer. Results The planned size of the study population was 230 patients, but enrollment was terminated early because an interim analysis found a statistically significant difference in survival between the patients assigned to receive irinotecan and cisplatin and those assigned to receive etoposide and cisplatin; as a result, only 154 patients were enrolled. The median survival was 12.8 months in the irinotecan-plus-cisplatin group and 9.4 months in the etoposide-plus-cisplatin group (P=0.002 by the unadjusted log-rank test). At two years...

1,241 citations


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TL;DR: Screening with the use of low-dose CT reduces mortality from lung cancer, as compared with the radiography group, and the rate of death from any cause was reduced.
Abstract: Background The aggressive and heterogeneous nature of lung cancer has thwarted efforts to reduce mortality from this cancer through the use of screening. The advent of low-dose helical computed tomography (CT) altered the landscape of lung-cancer screening, with studies indicating that low-dose CT detects many tumors at early stages. The National Lung Screening Trial (NLST) was conducted to determine whether screening with low-dose CT could reduce mortality from lung cancer. Methods From August 2002 through April 2004, we enrolled 53,454 persons at high risk for lung cancer at 33 U.S. medical centers. Participants were randomly assigned to undergo three annual screenings with either low-dose CT (26,722 participants) or single-view posteroanterior chest radiography (26,732). Data were collected on cases of lung cancer and deaths from lung cancer that occurred through December 31, 2009. Results The rate of adherence to screening was more than 90%. The rate of positive screening tests was 24.2% with low-dose CT and 6.9% with radiography over all three rounds. A total of 96.4% of the positive screening results in the low-dose CT group and 94.5% in the radiography group were false positive results. The incidence of lung cancer was 645 cases per 100,000 person-years (1060 cancers) in the low-dose CT group, as compared with 572 cases per 100,000 person-years (941 cancers) in the radiography group (rate ratio, 1.13; 95% confidence interval [CI], 1.03 to 1.23). There were 247 deaths from lung cancer per 100,000 person-years in the low-dose CT group and 309 deaths per 100,000 person-years in the radiography group, representing a relative reduction in mortality from lung cancer with low-dose CT screening of 20.0% (95% CI, 6.8 to 26.7; P=0.004). The rate of death from any cause was reduced in the low-dose CT group, as compared with the radiography group, by 6.7% (95% CI, 1.2 to 13.6; P=0.02). Conclusions Screening with the use of low-dose CT reduces mortality from lung cancer. (Funded by the National Cancer Institute; National Lung Screening Trial ClinicalTrials.gov number, NCT00047385.).

7,710 citations

Journal ArticleDOI
TL;DR: Pembrolizumab is a humanized monoclonal antibody against programmed death 1 (PD-1) that has antitumor activity in advanced non-small-cell lung cancer (NSCLC), with increased activity in tumors that express PD-L1 as mentioned in this paper.
Abstract: BackgroundPembrolizumab is a humanized monoclonal antibody against programmed death 1 (PD-1) that has antitumor activity in advanced non–small-cell lung cancer (NSCLC), with increased activity in tumors that express programmed death ligand 1 (PD-L1). MethodsIn this open-label, phase 3 trial, we randomly assigned 305 patients who had previously untreated advanced NSCLC with PD-L1 expression on at least 50% of tumor cells and no sensitizing mutation of the epidermal growth factor receptor gene or translocation of the anaplastic lymphoma kinase gene to receive either pembrolizumab (at a fixed dose of 200 mg every 3 weeks) or the investigator’s choice of platinum-based chemotherapy. Crossover from the chemotherapy group to the pembrolizumab group was permitted in the event of disease progression. The primary end point, progression-free survival, was assessed by means of blinded, independent, central radiologic review. Secondary end points were overall survival, objective response rate, and safety. ResultsMedi...

7,053 citations

Journal ArticleDOI
TL;DR: Two simple formulas are found that estimate the mean using the values of the median, low and high end of the range, and n (the sample size) and these hope to help meta-analysts use clinical trials in their analysis even when not all of the information is available and/or reported.
Abstract: Usually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data. However, sometimes the published reports of clinical trials only report the median, range and the size of the trial. In this article we use simple and elementary inequalities and approximations in order to estimate the mean and the variance for such trials. Our estimation is distribution-free, i.e., it makes no assumption on the distribution of the underlying data. We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range (a and b, respectively), and n (the sample size). Using simulations, we show that median can be used to estimate mean when the sample size is larger than 25. For smaller samples our new formula, devised in this paper, should be used. We also estimated the variance of an unknown sample using the median, low and high end of the range, and the sample size. Our estimate is performing as the best estimate in our simulations for very small samples (n ≤ 15). For moderately sized samples (15 70), the formula range/6 gives the best estimator for the standard deviation (variance). We also include an illustrative example of the potential value of our method using reports from the Cochrane review on the role of erythropoietin in anemia due to malignancy. Using these formulas, we hope to help meta-analysts use clinical trials in their analysis even when not all of the information is available and/or reported.

6,384 citations

Journal ArticleDOI
TL;DR: Pembrolizumab had an acceptable side-effect profile and showed antitumor activity in patients with advanced non-small-cell lung cancer and PD-L1 expression in at least 50% of tumor cells correlated with improved efficacy of pembrolIZumab.
Abstract: BackgroundWe assessed the efficacy and safety of programmed cell death 1 (PD-1) inhibition with pembrolizumab in patients with advanced non–small-cell lung cancer enrolled in a phase 1 study. We also sought to define and validate an expression level of the PD-1 ligand 1 (PD-L1) that is associated with the likelihood of clinical benefit. MethodsWe assigned 495 patients receiving pembrolizumab (at a dose of either 2 mg or 10 mg per kilogram of body weight every 3 weeks or 10 mg per kilogram every 2 weeks) to either a training group (182 patients) or a validation group (313 patients). We assessed PD-L1 expression in tumor samples using immunohistochemical analysis, with results reported as the percentage of neoplastic cells with staining for membranous PD-L1 (proportion score). Response was assessed every 9 weeks by central review. ResultsCommon side effects that were attributed to pembrolizumab were fatigue, pruritus, and decreased appetite, with no clear difference according to dose or schedule. Among all ...

4,834 citations

Journal ArticleDOI
TL;DR: First-line gefitinib for patients with advanced non-small-cell lung cancer who were selected on the basis of EGFR mutations improved progression-free survival, with acceptable toxicity, as compared with standard chemotherapy.
Abstract: In the planned interim analysis of data for the first 200 patients, progression-free survival was significantly longer in the gefitinib group than in the standard-chemotherapy group (hazard ratio for death or disease progression with gefitinib, 0.36; P<0.001), resulting in early termination of the study. The gefitinib group had a significantly longer median progression-free survival (10.8 months, vs. 5.4 months in the chemotherapy group; hazard ratio, 0.30; 95% confidence interval, 0.22 to 0.41; P<0.001), as well as a higher response rate (73.7% vs. 30.7%, P<0.001). The median overall survival was 30.5 months in the gefitinib group and 23.6 months in the chemotherapy group (P = 0.31). The most common adverse events in the gefitinib group were rash (71.1%) and elevated amino transferase levels (55.3%), and in the chemotherapy group, neutropenia (77.0%), anemia (64.6%), appetite loss (56.6%), and sensory neuropathy (54.9%). One patient receiving gefitinib died from interstitial lung disease. CONCLUSIONS First-line gefitinib for patients with advanced non–small-cell lung cancer who were selected on the basis of EGFR mutations improved progression-free survival, with acceptable toxicity, as compared with standard chemotherapy. (UMIN-CTR number, C000000376.)

4,829 citations