The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Open accessAbstract
BACKGROUND: Patients with advanced squamous-cell non-small-cell lung cancer (NSCLC) who have disease progression during or after first-line chemotherapy have limited treatment options. This randomized, open-label, international, phase 3 study evaluated the efficacy and safety of nivolumab, a fully human IgG4 programmed death 1 (PD-1) immune-checkpoint-inhibitor antibody, as compared with docetaxel in this patient population. METHODS: We randomly assigned 272 patients to receive nivolumab, at a dose of 3 mg per kilogram of body weight every 2 weeks, or docetaxel, at a dose of 75 mg per square meter of body-surface area every 3 weeks. The primary end point was overall survival. RESULTS: The median overall survival was 9.2 months (95% confidence interval [CI], 7.3 to 13.3) with nivolumab versus 6.0 months (95% CI, 5.1 to 7.3) with docetaxel. The risk of death was 41% lower with nivolumab than with docetaxel (hazard ratio, 0.59; 95% CI, 0.44 to 0.79; P<0.001). At 1 year, the overall survival rate was 42% (95% CI, 34 to 50) with nivolumab versus 24% (95% CI, 17 to 31) with docetaxel. The response rate was 20% with nivolumab versus 9% with docetaxel (P=0.008). The median progression-free survival was 3.5 months with nivolumab versus 2.8 months with docetaxel (hazard ratio for death or disease progression, 0.62; 95% CI, 0.47 to 0.81; P<0.001). The expression of the PD-1 ligand (PD-L1) was neither prognostic nor predictive of benefit. Treatment-related adverse events of grade 3 or 4 were reported in 7% of the patients in the nivolumab group as compared with 55% of those in the docetaxel group. CONCLUSIONS: Among patients with advanced, previously treated squamous-cell NSCLC, overall survival, response rate, and progression-free survival were significantly better with nivolumab than with docetaxel, regardless of PD-L1 expression level. (Funded by Bristol-Myers Squibb; CheckMate 017 ClinicalTrials.gov number, NCT01642004.).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Nivolumab has significantly improved outcomes in patients with metastatic non-small cell lung cancer (NSCLC); however, reliable prognostic biomarkers remain an unmet need.”
From SUVmax-IPI as a New Prognostic Index in Metastatic Non-Small Cell Lung Cancer Patients Receiving Nivolumab (2025) · cites this paper as [3]
Experimental — accuracy not yet measuredIn the citing paper
“The development of immune checkpoint inhibitors (ICI) targeting the PD-1/PD-L1 interaction has transformed the therapeutic landscape of patients with advanced non-small cell lung cancer (NSCLC) [1][2][3][4][5][6] .”
From Intestinal Akkermansia muciniphila predicts clinical response to PD-1 blockade in patients with advanced non-small-cell lung cancer (2022) · cites this paper as [2]
In the citing paper
“Landmark trials performed on previously treated patients with advanced NSCLC demonstrated superior overall survival (OS) with PD-1/PD-L1 blockade compared to standard chemotherapy [1][2][3] .”
From Intestinal Akkermansia muciniphila predicts clinical response to PD-1 blockade in patients with advanced non-small-cell lung cancer (2022) · cites this paper as [2]
In the citing paper
“Although PD-L1 expression on tumor cells was correlated with treatment efficacy in melanoma patients (67, 108), it was not in patients with squamous cell carcinoma, non-small cell lung cancer and Merkel cell carcinoma (70, 72, 74).”
From Anti-PD-1 and Anti-CTLA-4 Therapies in Cancer: Mechanisms of Action, Efficacy, and Limitations (2018) · cites this paper as [72]
In the citing paper
“At the data cut-off, median OS was 9.2 months (95% CI: 7.3-13.3months) on nivolumab compared with 6.0 months (95% CI: 5.1-7.3months) on docetaxel, with a 41% reduction in the risk of death in the nivolumab arm (HR 0.59, 95% CI: 0.44-0.49;P < 0.001).”
From Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up (2016) · cites this paper as [98]
In the citing paper
“The expression of PD-L1 was neither prognostic nor predictive of clinical benefit in a retrospective analysis using various cut points in this study.”
From Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up (2016) · cites this paper as [98]
In the citing paper
“A phase III trial (CheckMate 017) in patients previously treated for SCC compared 3 mg/kg of nivolumab given every 2 weeks with docetaxel, showing an improvement of 3.2 months [97,98]”
From Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up (2016) · cites this paper as [98]
In the citing paper
“In the phase III trial, nivolumab was better tolerated than docetaxel, with 85% of nivolumab patients receiving at least 90% of their planned dose intensity, compared with 69% of docetaxel patients, together with a treatment discontinuation rate of 10% versus 3% of the patients treated with nivolumab and docetaxel, respectively.”
From Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up (2016) · cites this paper as [98]
In the citing paper
“The primary end point was overall response rate, which occurred in 17 (14.5%) of 117 patients (95% CI 8.7 to 22.2).”
From Systemic Therapy for Stage IV Non–Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update (2015) · cites this paper as [98]
In the citing paper
“Median time to response was 3.3 months; median duration of response had not been reached at the time of publication.”
From Systemic Therapy for Stage IV Non–Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update (2015) · cites this paper as [98]
In the citing paper
“Adverse effects included dyspnea, fatigue, pneumonitis, diarrhea, musculoskeletal pain, and severe immune-mediated adverse effects98,99; 59% of patients experienced serious adverse events.100”
From Systemic Therapy for Stage IV Non–Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update (2015) · cites this paper as [98]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)
Eisenhauer, E. A., Therasse, P., Bogaerts, J., Schwartz, L. H., Sargent, D., Ford, R., Dancey, J., Arbuck, S., Gwyther, S., Mooney, M., et al. (2009) · European Journal of Cancer · doi:10.1016/j.ejca.2008.10.026 · Cited by 29,534
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,320
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
Self-citationMutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
Herbst, R. S., Soria, J.-C., Kowanetz, M., Fine, G. D., Hamid, O., Gordon, M. S., Sosman, J. A., McDermott, D. F., Powderly, J. D., Gettinger, S. N., et al. (2014) · Nature · doi:10.1038/nature14011 · Cited by 5,231
Brahmer, J. R., Drake, C. G., WOLLNER, I. S., Powderly, J. D., Picus, J., Sharfman, W. H., Stankevich, E., Pons, A., Salay, T. M., McMiller, T. L., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.26.7609 · Cited by 2,967
Self-citationHanna, N., Shepherd, F. A., Fossella, F. V., Pereira, J. R., De Marinis, F., von Pawel, J., Gatzemeier, U., Tsao, T. C. Y., Pless, M., Muller, T., et al. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.08.163 · Cited by 2,426
Shepherd, F. A., Dancey, J. E., Ramlau, R., Mattson, K. V., Gralla, R. J., O’Rourke, M. A., Levitan, N. I., Gressot, L., Vincent, M. D., Burkes, R. L., et al. (2000) · Journal of Clinical Oncology · doi:10.1200/jco.2000.18.10.2095 · Cited by 2,178
Flagged first, then by citations
Research works printed but not linked: 1
- Soria JC, 2013, Eur J Cancer, 49
Cited by
Sorted by citations
Items 1,001–1,048 of 1,048
Tan, C.-S., Cho, B.-C., & Soo, R. A. (2016) · Lung Cancer · doi:10.1016/j.lungcan.2016.01.003 · Cited by 105
Zhang, N., Jiang, J., Tang, S., & Sun, G. (2020) · International Immunopharmacology · doi:10.1016/j.intimp.2020.106677 · Cited by 109
Ligero, M., Garcia-Ruiz, A., Viaplana, C., Villacampa, G., Raciti, M. V., Landa, J., Matos, I., Martin-Liberal, J., Ochoa-de-Olza, M., Hierro, C., et al. (2021) · Radiology · doi:10.1148/radiol.2021200928 · Cited by 107
Gastrointestinal toxicity of immune checkpoint inhibitors: From mechanisms to management
Samaan, M. A., Pavlidis, P., Papa, S., Powell, N., & Irving, P. M. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2018.14 · Cited by 100
Huang, L., Malu, S., McKenzie, J. A., Andrews, M. C., Talukder, A. H., Tieu, T., Karpinets, T., Haymaker, C., Forget, M.-A., Williams, L. J., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2483 · Cited by 102
Marur, S., Singh, H., Mishra-Kalyani, P., Larkins, E., Keegan, P., Sridhara, R., Blumenthal, G. M., & Pazdur, R. (2018) · Seminars in Oncology · doi:10.1053/j.seminoncol.2018.08.007 · Cited by 100
Iwatate, Y., Hoshino, I., Yokota, H., Ishige, F., Itami, M., Mori, Y., Chiba, S., Arimitsu, H., Yanagibashi, H., Nagase, H., et al. (2020) · British Journal of Cancer · doi:10.1038/s41416-020-0997-1 · Cited by 101
Takada, K., Shimokawa, M., Takamori, S., Shimamatsu, S., Hirai, F., Tagawa, T., Okamoto, T., Hamatake, M., Tsuchiya‐Kawano, Y., Otsubo, K., et al. (2021) · International Journal of Cancer · doi:10.1002/ijc.33557 · Cited by 100
Okada, N., Kawazoe, H., Takechi, K., Matsudate, Y., Utsunomiya, R., Zamami, Y., Goda, M., Imanishi, M., Chuma, M., Hidaka, N., et al. (2019) · Clinical Therapeutics · doi:10.1016/j.clinthera.2018.11.004 · Cited by 96
Aging, immune senescence, and immunotherapy: a comprehensive review
Elias, R., Hartshorn, K., Rahma, O., Lin, N., & Snyder-Cappione, J. E. (2018) · Seminars in Oncology · doi:10.1053/j.seminoncol.2018.08.006 · Cited by 96
Alemohammad, H., Najafzadeh, B., Asadzadeh, Z., Baghbanzadeh, A., Ghorbaninezhad, F., Najafzadeh, A., Safarpour, H., Bernardini, R., Brunetti, O., Sonnessa, M., et al. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.112516 · Cited by 92
Product review: Avelumab, an anti-PD-L1 antibody
Collins, J. M., & Gulley, J. L. (2019) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2018.1551671 · Cited by 91
Loss-of-function mutations in KEAP1 drive lung cancer progression via KEAP1/NRF2 pathway activation
Gong, M., Li, Y., Ye, X., Zhang, L., Wang, Z., Xu, X., Shen, Y., & Zheng, C. (2020) · Cell Communication and Signaling · doi:10.1186/s12964-020-00568-z · Cited by 86
Irradiation and immunotherapy: From concept to the clinic
Salama, A. K. S., Postow, M. A., & Salama, J. K. (2016) · Cancer · doi:10.1002/cncr.29889 · Cited by 85
Efficacy of nivolumab in pre-treated non-small-cell lung cancer patients harbouring KRAS mutations
Passiglia, F., Cappuzzo, F., Alabiso, O., Bettini, A. C., Bidoli, P., Chiari, R., Defferrari, C., Delmonte, A., Finocchiaro, G., Francini, G., et al. (2019) · British Journal of Cancer · doi:10.1038/s41416-018-0234-3 · Cited by 81
Molecular Pathways: Immune Checkpoint Antibodies and their Toxicities
Cousin, S., & Italiano, A. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2569 · Cited by 83
Meng, X., Gao, Y., Yang, L., Jing, H., Teng, F., Huang, Z., & Xing, L. (2019) · Clinical Lung Cancer · doi:10.1016/j.cllc.2018.09.012 · Cited by 66
Choi, H., Deng, J., Li, S., Silk, T., Dong, L., Brea, E. J., Houghton, S., Redmond, D., Zhong, H., Boiarsky, J., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.066 · Cited by 72
Safety and efficacy of anti-PD-1 in patients with baseline cardiac, renal, or hepatic dysfunction
Kanz, B. A., Pollack, M. H., Johnpulle, R., Puzanov, I., Horn, L., Morgans, A., Sosman, J. A., Rapisuwon, S., Conry, R. M., Eroglu, Z., et al. (2016) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-016-0166-5 · Cited by 75
Trial watch: immune checkpoint blockers for cancer therapy
Vanpouille-Box, C., Lhuillier, C., Bezu, L., Aranda, F., Yamazaki, T., Kepp, O., Fucikova, J., Spisek, R., Demaria, S., Formenti, S. C., et al. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1373237 · Cited by 73
Peng, D. H., Rodriguez, B. L., Diao, L., Gaudreau, P.-O., Padhye, A., Konen, J. M., Ochieng, J. K., Class, C. A., Fradette, J. J., Gibson, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22875-w · Cited by 72
Anti-PD-1 Therapy Response Predicted by the Combination of Exosomal PD-L1 and CD28
Zhang, C., Fan, Y., Che, X., Zhang, M., Li, Z., Li, C., Wang, S., Wen, T., Hou, K., Shao, X., et al. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00760 · Cited by 69
Formate Supplementation Enhances Antitumor CD8+ T-cell Fitness and Efficacy of PD-1 Blockade
Rowe, J. H., Elia, I., Shahid, O., Gaudiano, E. F., Sifnugel, N. E., Johnson, S., Reynolds, A. G., Fung, M. E., Joshi, S., LaFleur, M. W., et al. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-1301 · Cited by 59
Immune checkpoint inhibitors in older adults
Elias, R., Morales, J., Rehman, Y., & Khurshid, H. (2016) · Current Oncology Reports · doi:10.1007/s11912-016-0534-9 · Cited by 59
Abdel-Rahman, O., Helbling, D., Schmidt, J., Petrausch, U., Giryes, A., Mehrabi, A., Schöb, O., Mannhart, M., & Oweira, H. (2017) · Clinical Oncology · doi:10.1016/j.clon.2016.11.007 · Cited by 55
Bonanno, L., De Paoli, A., Zulato, E., Esposito, G., Calabrese, F., Favaretto, A., Santo, A., Conte, A. D., Chilosi, M., Oniga, F., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-2410 · Cited by 53
Goss, G. D., Felip, E., Cobo, M., Lu, S., Syrigos, K., Lee, K. H., Göker, E., Georgoulias, V., Li, W., Guclu, S., et al. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2018.0775 · Cited by 55
Immune checkpoint inhibitors associated cardiovascular immune-related adverse events
Jo, W., Won, T., Daoud, A., & Čiháková, D. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1340373 · Cited by 55
Noordam, L., Kaijen, M. E. H., Bezemer, K., Cornelissen, R., Maat, L. A. P. W. M., Hoogsteden, H. C., Aerts, J. G. J. V., Hendriks, R. W., Hegmans, J. P. J. J., & Vroman, H. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1474318 · Cited by 52
Self-citationImmunotherapy to treat malignancy in patients with pre-existing autoimmunity
Boland, P., Pavlick, A. C., Weber, J., & Sandigursky, S. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000356 · Cited by 50
Predictive Factors of Nivolumab-induced Hypothyroidism in Patients with Non-small Cell Lung Cancer
(2018) · In Vivo · doi:10.21873/invivo.11166 · Cited by 51
Abdel-Rahman, O., & Fouad, M. (2016) · Immunotherapy · doi:10.2217/imt-2015-0020 · Cited by 46
Gong, Z., Jia, Q., Chen, J., Diao, X., Gao, J., Wang, X., & Zhu, B. (2019) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2019.01.024 · Cited by 43
Funaki, S., Shintani, Y., Kawamura, T., Kanzaki, R., Minami, M., & Okumura, M. (2017) · Oncology Reports · doi:10.3892/or.2017.5894 · Cited by 43
Carbone, D. P., Ciuleanu, T.-E., Cobo, M., Schenker, M., Zurawski, B., Menezes, J., Richardet, E., Felip, E., Cheng, Y., Juan-Vidal, O., et al. (2025) · ESMO Open · doi:10.1016/j.esmoop.2025.105123 · Cited by 43
Self-citationCurrent and Future Trends of Colorectal Cancer Treatment: Exploring Advances in Immunotherapy
Nikolouzakis, T. K., Chrysos, E., Docea, A. O., Fragkiadaki, P., Souglakos, J., Tsiaoussis, J., & Tsatsakis, A. (2024) · Cancers · doi:10.3390/cancers16111995 · Cited by 37
Patkar, S., Chen, A., Basnet, A., Bixby, A., Rajendran, R., Chernet, R., Faso, S., Kumar, P. A., Desai, D., El-Zammar, O., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00765-w · Cited by 41
“The rationale and motivation behind our approach come from recent clinical trials showing that PD-L1 expression alone is insuf fi cient to predict ICI treatment outcomes (Checkmate 057 59,60 , OAK 61 ).”
Hoefsmit, E. P., Rozeman, E. A., Haanen, J. B. A. G., & Blank, C. U. (2019) · ESMO Open · doi:10.1136/esmoopen-2018-000472 · Cited by 29
Meindl-Beinker, N. M., Betge, J., Gutting, T., Burgermeister, E., Belle, S., Zhan, T., Schulte, N., Maenz, M., Ebert, M. P., & Haertel, N. (2019) · BMC Cancer · doi:10.1186/s12885-019-5446-2 · Cited by 30
Dacomitinib in lung cancer: a “lost generation” EGFR tyrosine-kinase inhibitor from a bygone era?
Ou, S.-H., & Soo, R. (2015) · Drug Design, Development and Therapy · doi:10.2147/dddt.s52787 · Cited by 28
Lin, A., Zhang, H., Meng, H., Deng, Z., Gu, T., Luo, P., & Zhang, J. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.667875 · Cited by 27
Huang, M.-H., Zhang, X.-B., Wang, H.-L., Li, L.-X., Zeng, Y.-M., Wang, M., & Zeng, H.-Q. (2019) · Annals of Translational Medicine · doi:10.21037/atm.2019.01.44 · Cited by 25
Koyama, J., Horiike, A., Yoshizawa, T., Dotsu, Y., Ariyasu, R., Saiki, M., Sonoda, T., Uchibori, K., Nishikawa, S., Kitazono, S., et al. (2019) · Journal of Thoracic Disease · doi:10.21037/jtd.2019.04.102 · Cited by 23
Metabolic Remodelling: An Accomplice for New Therapeutic Strategies to Fight Lung Cancer
Mendes, C., & Serpa, J. (2019) · Antioxidants · doi:10.3390/antiox8120603 · Cited by 21
Katayama, Y., Yamada, T., Tanimura, K., Yoshimura, A., Takeda, T., Chihara, Y., Tamiya, N., Kaneko, Y., Uchino, J., & Takayama, K. (2019) · Thoracic Cancer · doi:10.1111/1759-7714.12969 · Cited by 20
Absolute quantification of all identified plasma proteins from SWATH data for biomarker discovery
Rice, S. J., Liu, X., Zhang, J., & Belani, C. P. (2019) · PROTEOMICS · doi:10.1002/pmic.201800135 · Cited by 12
Huang, F., Yang, H., Bao, W., Bin, Y., Zhou, S., Wang, M., & Lv, X. (2023) · Clinical and Translational Oncology · doi:10.1007/s12094-023-03268-5 · Cited by 6
Kolkıran, N., Erdoğan, A. P., Şahbazlar, M., Taş, S., Gököz Doğu, G., Canaslan, K., Ünek, İ. T., Demirkıran, Ö., Demir, B., Teküstün, G. N., et al. (2025) · Current Oncology · doi:10.3390/curroncol32100566 · Cited by 2
“The advent of immune checkpoint inhibitors, particularly nivolumab, has redefined therapeutic paradigms, demonstrating superior survival outcomes compared to chemotherapy in both squamous and non-squamous NSCLC subtypes [2,3].”
Metadata
- Authors
- Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., Waterhouse, D., Ready, N., Gainor, J., Arén Frontera, O., Havel, L., Steins, M., Garassino, M. C., Aerts, J. G., Domine, M., Paz-Ares, L., Reck, M., Baudelet, C., Harbison, C. T., Lestini, B., & Spigel, D. R.
- Affiliations
- City Of Hope National Medical Center (US)
- The Netherlands Cancer Institute (NL)
- University of Perugia (IT)
- Ruhrlandklinik (DE)
- Russian Cancer Research Center NN Blokhin (RU)
- Moffitt Cancer Center (US)
- University of Chicago (US)
- Oncology Hematology Care (US)
- Duke Medical Center (US)
- Massachusetts General Hospital (US)
- Fakultní nemocnice Bulovka (CZ)
- University Hospital Heidelberg (DE)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- Amphia Ziekenhuis (NL)
- Hospital Universitario Virgen del Rocío (ES)
- LungenClinic Grosshansdorf (DE)
- Bristol-Myers Squibb (United States) (US)
- Tennessee Oncology (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2015-07-09
- Volume
- 373
- Issue
- 2
- Pages
- 123-135
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC4681400
- OpenAlex
- W2156353875
- Cited by
- 8,447
- References
- 22
- Citations by year
- 2026: 204 · 2025: 332 · 2024: 525 · 2023: 627 · 2022: 718 · 2021: 928 · 2020: 1065 · 2019: 969 · 2018: 1066 · 2017: 1001 · 2016: 803 · 2015: 184
- FWCI
- 444.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Universitätsbibliographie, Universität Duisburg-Essen (submittedVersion)
- Funders
- National Cancer Institute (P30CA076292)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Keywords
- nivolumab, docetaxel, squamous cell non-small cell lung cancer, PD-1 inhibitors, immune checkpoint inhibitors, overall survival, progression-free survival, PD-L1 expression, treatment-related adverse events, second-line therapy, previously treated patients, response rate, treatment safety and efficacy comparison, immunotherapy versus chemotherapy
- MeSH terms
- Docetaxel, Nivolumab, Adult, Aged, Antibodies, Monoclonal, Antineoplastic Agents, Carcinoma, Non-Small-Cell Lung, Carcinoma, Squamous Cell, Female, Humans, Immunoglobulin G, Lung Neoplasms, Male, Middle Aged, Survival Analysis, Taxoids, B7-H1 Antigen, Programmed Cell Death 1 Receptor
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
