Association between gene expression signatures and clinical outcomes of pembrolizumab versus paclitaxel in advanced gastric cancer: exploratory analysis from the randomized, controlled, phase III KEYNOTE-061 trial

BackgroundIn the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit...

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Published in:Journal for ImmunoTherapy of Cancer Vol. 11; no. 6; p. e006920
Main Authors: Shitara, Kohei, Di Bartolomeo, Maria, Mandala, Mario, Ryu, Min-Hee, Caglevic, Christian, Olesinski, Tomasz, Chung, Hyun Cheol, Muro, Kei, Goekkurt, Eray, McDermott, Raymond S, Mansoor, Wasat, Wainberg, Zev A, Shih, Chie-Schin, Kobie, Julie, Nebozhyn, Michael, Cristescu, Razvan, Cao, Z Alexander, Loboda, Andrey, Özgüroğlu, Mustafa
Format: Journal Article
Language:English
Published: England BMJ Publishing Group Ltd 01.06.2023
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Series:Original research
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ISSN:2051-1426, 2051-1426
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Abstract BackgroundIn the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial.MethodsUsing RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (TcellinfGEP) and 10 non-TcellinfGEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for TcellinfGEP (prespecified α=0.05) and the 10 non-TcellinfGEP signatures (multiplicity-adjusted; prespecified α=0.10).ResultsRNA sequencing data were available for 137 patients in each treatment group. TcellinfGEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the TcellinfGEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel.ConclusionsThis exploratory analysis of tumor TcellinfGEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis.Trial registration number NCT02370498.
AbstractList Background In the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial.Methods Using RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (TcellinfGEP) and 10 non-TcellinfGEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for TcellinfGEP (prespecified α=0.05) and the 10 non-TcellinfGEP signatures (multiplicity-adjusted; prespecified α=0.10).Results RNA sequencing data were available for 137 patients in each treatment group. TcellinfGEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the TcellinfGEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel.Conclusions This exploratory analysis of tumor TcellinfGEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis.Trial registration number NCT02370498.
In the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial. Using RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (Tcell GEP) and 10 non-Tcell GEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for Tcell GEP (prespecified α=0.05) and the 10 non-Tcell GEP signatures (multiplicity-adjusted; prespecified α=0.10). RNA sequencing data were available for 137 patients in each treatment group. Tcell GEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The Tcell GEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the Tcell GEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel. This exploratory analysis of tumor Tcell GEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. Tcell GEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis. NCT02370498.
BackgroundIn the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial.MethodsUsing RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (TcellinfGEP) and 10 non-TcellinfGEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for TcellinfGEP (prespecified α=0.05) and the 10 non-TcellinfGEP signatures (multiplicity-adjusted; prespecified α=0.10).ResultsRNA sequencing data were available for 137 patients in each treatment group. TcellinfGEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the TcellinfGEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel.ConclusionsThis exploratory analysis of tumor TcellinfGEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis.Trial registration numberNCT02370498.
In the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial.BACKGROUNDIn the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial.Using RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (TcellinfGEP) and 10 non-TcellinfGEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for TcellinfGEP (prespecified α=0.05) and the 10 non-TcellinfGEP signatures (multiplicity-adjusted; prespecified α=0.10).METHODSUsing RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (TcellinfGEP) and 10 non-TcellinfGEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for TcellinfGEP (prespecified α=0.05) and the 10 non-TcellinfGEP signatures (multiplicity-adjusted; prespecified α=0.10).RNA sequencing data were available for 137 patients in each treatment group. TcellinfGEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the TcellinfGEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel.RESULTSRNA sequencing data were available for 137 patients in each treatment group. TcellinfGEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the TcellinfGEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel.This exploratory analysis of tumor TcellinfGEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis.CONCLUSIONSThis exploratory analysis of tumor TcellinfGEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis.NCT02370498.TRIAL REGISTRATION NUMBERNCT02370498.
BackgroundIn the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial.MethodsUsing RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (TcellinfGEP) and 10 non-TcellinfGEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for TcellinfGEP (prespecified α=0.05) and the 10 non-TcellinfGEP signatures (multiplicity-adjusted; prespecified α=0.10).ResultsRNA sequencing data were available for 137 patients in each treatment group. TcellinfGEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the TcellinfGEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel.ConclusionsThis exploratory analysis of tumor TcellinfGEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. TcellinfGEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis.Trial registration number NCT02370498.
Author Ryu, Min-Hee
Loboda, Andrey
Shitara, Kohei
Mandala, Mario
Shih, Chie-Schin
Cristescu, Razvan
Wainberg, Zev A
Di Bartolomeo, Maria
Caglevic, Christian
Olesinski, Tomasz
Chung, Hyun Cheol
Mansoor, Wasat
Cao, Z Alexander
Goekkurt, Eray
Özgüroğlu, Mustafa
Muro, Kei
Kobie, Julie
McDermott, Raymond S
Nebozhyn, Michael
AuthorAffiliation 2 Department of Immunology , Nagoya University Graduate School of Medicine , Nagoya , Japan
4 Unit of Medical Oncology , University of Perugia , Perugia , Italy
5 Department of Oncology , University of Ulsan College of Medicine, Asan Medical Center , Seoul , Korea (the Republic of)
11 St Vincent’s University Hospital & Cancer Trials , Dublin , Ireland
13 Division of Hematology/Oncology , David Geffen School of Medicine at UCLA , Los Angeles , California , USA
10 Hematology-Oncology Practice Eppendorf (HOPE) and University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf , Hamburg , Germany
7 Department of Gastrointestinal Cancers and Neuroendocrine Tumors Surgery , Maria Sklodowska–Curie National Research Institute of Oncology , Warsaw , Poland
6 Cancer Research Department , Instituto Oncologico Fundacion Arturo Lopez Perez , Santiago , Chile
9 Department of Clinical Oncology , Aichi Cancer Center Hospital , Nagoya , Japan
12 Christie Hospital NHS Foundation Trust, Univ
AuthorAffiliation_xml – name: 7 Department of Gastrointestinal Cancers and Neuroendocrine Tumors Surgery , Maria Sklodowska–Curie National Research Institute of Oncology , Warsaw , Poland
– name: 12 Christie Hospital NHS Foundation Trust, University of Manchester , Manchester , UK
– name: 4 Unit of Medical Oncology , University of Perugia , Perugia , Italy
– name: 10 Hematology-Oncology Practice Eppendorf (HOPE) and University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf , Hamburg , Germany
– name: 5 Department of Oncology , University of Ulsan College of Medicine, Asan Medical Center , Seoul , Korea (the Republic of)
– name: 1 Department of Gastrointestinal Oncology , National Cancer Center Hospital East , Kashiwa , Japan
– name: 3 Department of Medical Oncology , Fondazione IRCCS Istituto Nazionale dei Tumori , Milan , Italy
– name: 2 Department of Immunology , Nagoya University Graduate School of Medicine , Nagoya , Japan
– name: 9 Department of Clinical Oncology , Aichi Cancer Center Hospital , Nagoya , Japan
– name: 8 Division of Medical Oncology , Yonsei Cancer Center, Yonsei University College of Medicine , Seoul , Korea (the Republic of)
– name: 6 Cancer Research Department , Instituto Oncologico Fundacion Arturo Lopez Perez , Santiago , Chile
– name: 11 St Vincent’s University Hospital & Cancer Trials , Dublin , Ireland
– name: 15 Division of Medical Oncology, Clinical Trial Unit , Istanbul University-Cerrahpaşa, Cerrahpaşa Faculty of Medicine , Istanbul , Turkey
– name: 14 Merck & Co Inc , Rahway , New Jersey , USA
– name: 13 Division of Hematology/Oncology , David Geffen School of Medicine at UCLA , Los Angeles , California , USA
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  orcidid: 0000-0001-5196-3630
  surname: Shitara
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  email: kshitara@east.ncc.go.jp
  organization: Department of Immunology, Nagoya University Graduate School of Medicine, Nagoya, Japan
– sequence: 2
  givenname: Maria
  surname: Di Bartolomeo
  fullname: Di Bartolomeo, Maria
  organization: Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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  givenname: Mario
  orcidid: 0000-0001-8846-8959
  surname: Mandala
  fullname: Mandala, Mario
  organization: Unit of Medical Oncology, University of Perugia, Perugia, Italy
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  givenname: Min-Hee
  surname: Ryu
  fullname: Ryu, Min-Hee
  organization: Department of Oncology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea (the Republic of)
– sequence: 5
  givenname: Christian
  surname: Caglevic
  fullname: Caglevic, Christian
  organization: Cancer Research Department, Instituto Oncologico Fundacion Arturo Lopez Perez, Santiago, Chile
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  givenname: Tomasz
  orcidid: 0000-0001-6492-4331
  surname: Olesinski
  fullname: Olesinski, Tomasz
  organization: Department of Gastrointestinal Cancers and Neuroendocrine Tumors Surgery, Maria Sklodowska–Curie National Research Institute of Oncology, Warsaw, Poland
– sequence: 7
  givenname: Hyun Cheol
  surname: Chung
  fullname: Chung, Hyun Cheol
  organization: Division of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea (the Republic of)
– sequence: 8
  givenname: Kei
  surname: Muro
  fullname: Muro, Kei
  organization: Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
– sequence: 9
  givenname: Eray
  surname: Goekkurt
  fullname: Goekkurt, Eray
  organization: Hematology-Oncology Practice Eppendorf (HOPE) and University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
– sequence: 10
  givenname: Raymond S
  surname: McDermott
  fullname: McDermott, Raymond S
  organization: St Vincent’s University Hospital & Cancer Trials, Dublin, Ireland
– sequence: 11
  givenname: Wasat
  surname: Mansoor
  fullname: Mansoor, Wasat
  organization: Christie Hospital NHS Foundation Trust, University of Manchester, Manchester, UK
– sequence: 12
  givenname: Zev A
  surname: Wainberg
  fullname: Wainberg, Zev A
  organization: Division of Hematology/Oncology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
– sequence: 13
  givenname: Chie-Schin
  surname: Shih
  fullname: Shih, Chie-Schin
  organization: Merck & Co Inc, Rahway, New Jersey, USA
– sequence: 14
  givenname: Julie
  surname: Kobie
  fullname: Kobie, Julie
  organization: Merck & Co Inc, Rahway, New Jersey, USA
– sequence: 15
  givenname: Michael
  surname: Nebozhyn
  fullname: Nebozhyn, Michael
  organization: Merck & Co Inc, Rahway, New Jersey, USA
– sequence: 16
  givenname: Razvan
  surname: Cristescu
  fullname: Cristescu, Razvan
  organization: Merck & Co Inc, Rahway, New Jersey, USA
– sequence: 17
  givenname: Z Alexander
  surname: Cao
  fullname: Cao, Z Alexander
  organization: Merck & Co Inc, Rahway, New Jersey, USA
– sequence: 18
  givenname: Andrey
  surname: Loboda
  fullname: Loboda, Andrey
  organization: Merck & Co Inc, Rahway, New Jersey, USA
– sequence: 19
  givenname: Mustafa
  surname: Özgüroğlu
  fullname: Özgüroğlu, Mustafa
  organization: Division of Medical Oncology, Clinical Trial Unit, Istanbul University-Cerrahpaşa, Cerrahpaşa Faculty of Medicine, Istanbul, Turkey
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10.1186/s40425-019-0643-8
ContentType Journal Article
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Issue 6
Keywords Programmed Cell Death 1 Receptor
Gene Expression Profiling
Gastrointestinal Neoplasms
Genetic Markers
Immunotherapy
Language English
License This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.
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Snippet BackgroundIn the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus...
In the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in...
Background In the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus...
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SubjectTerms Angiogenesis
Antibodies
Antibodies, Monoclonal, Humanized
Antibodies, Monoclonal, Humanized - therapeutic use
Cancer
Cancer therapies
Cell death
Clinical outcomes
Clinical/Translational Cancer Immunotherapy
Gastric cancer
Gastrointestinal Neoplasms
Gene expression
Gene Expression Profiling
Genetic Markers
Growth factors
Humanized
Humans
Hypoxia
Immunotherapy
Medical prognosis
Metastasis
Monoclonal
Monoclonal antibodies
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Paclitaxel
Paclitaxel - pharmacology
Paclitaxel - therapeutic use
Patients
Programmed Cell Death 1 Receptor
RC254-282
Response rates
Review boards
Stomach Neoplasms
Stomach Neoplasms - drug therapy
Stomach Neoplasms - genetics
Stomach Neoplasms - pathology
Targeted cancer therapy
Transcriptome
Tumors
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Title Association between gene expression signatures and clinical outcomes of pembrolizumab versus paclitaxel in advanced gastric cancer: exploratory analysis from the randomized, controlled, phase III KEYNOTE-061 trial
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