Annika Fendler1, Scott T C Shepherd2, Lewis Au2, Mary Wu3, Ruth Harvey4, Andreas M Schmitt5, Zayd Tippu2, Benjamin Shum2, Sheima Farag5, Aljosja Rogiers5, Eleanor Carlyle5, Kim Edmonds5, Lyra Del Rosario5, Karla Lingard5, Mary Mangwende5, Lucy Holt5, Hamid Ahmod5, Justine Korteweg5, Tara Foley5, Taja Barber1, Andrea Emslie-Henry1, Niamh Caulfield-Lynch1, Fiona Byrne1, Daqi Deng1, Svend Kjaer6, Ok-Ryul Song3, Christophe Queval3, Caitlin Kavanagh3, Emma C Wall7, Edward J Carr8, Simon Caidan9, Mike Gavrielides10, James I MacRae11, Gavin Kelly12, Kema Peat5, Denise Kelly5, Aida Murra5, Kayleigh Kelly5, Molly O'Flaherty5, Robyn L Shea13, Gail Gardner14, Darren Murray14, Nadia Yousaf15, Shaman Jhanji16, Kate Tatham16, David Cunningham17, Nicholas Van As18, Kate Young5, Andrew J S Furness1, Lisa Pickering5, Rupert Beale19, Charles Swanton20, Sonia Gandhi21, Steve Gamblin22, David L V Bauer23, George Kassiotis24, Michael Howell3, Emma Nicholson25, Susanna Walker16, James Larkin5, Samra Turajlic26. 1. Cancer Dynamics Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 2. Cancer Dynamics Laboratory, The Francis Crick Institute, London NW1 1AT, UK; Skin and Renal Units, The Royal Marsden NHS Foundation Trust, London, UK. 3. High Throughput Screening Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 4. Worldwide Influenza Centre, The Francis Crick Institute, London NW1 1AT, UK. 5. Skin and Renal Units, The Royal Marsden NHS Foundation Trust, London, UK. 6. Structural Biology Scientific Technology Platform, The Francis Crick Institute, London NW1 1AT, UK. 7. High Throughput Screening Laboratory, The Francis Crick Institute, London NW1 1AT, UK; University College London Hospitals NHS Foundation Trust Biomedical Research Centre, London, UK. 8. Cell Biology of Infection Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 9. Safety, Health & Sustainability, The Francis Crick Institute, London NW1 1AT, UK; University College London Cancer Institute, London, UK. 10. Scientific Computing Scientific Technology Platform, The Francis Crick Institute, London NW1 1AT, UK. 11. Metabolomics Scientific Technology Platform, The Francis Crick Institute, London NW1 1AT, UK. 12. Department of Bioinformatics and Biostatistics, The Francis Crick Institute, London NW1 1AT, UK. 13. Department of Pathology, The Royal Marsden NHS Foundation Trust, London, UK; Translational Cancer Biochemistry Laboratory, Institute of Cancer Research, London, UK. 14. Department of Pathology, The Royal Marsden NHS Foundation Trust, London, UK. 15. Lung Unit, The Royal Marsden NHS Foundation Trust, London, UK; Acute Oncology Service, The Royal Marsden NHS Foundation Trust, London, UK. 16. Anaesthetics, Perioperative Medicine and Pain Department, The Royal Marsden NHS Foundation Trust, London, UK. 17. Gastrointestinal Unit, The Royal Marsden NHS Foundation Trust, London, UK. 18. Clincal Oncology Unit, The Royal Marsden NHS Foundation Trust, London, UK. 19. Cell Biology of Infection Laboratory, The Francis Crick Institute, London NW1 1AT, UK; Division of Medicine, University College London, London, UK. 20. Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 21. Neurodegeneration Biology Laboratory, The Francis Crick Institute, London NW1 1AT, UK; UCL Queen Square Institute of Neurology, London, UK. 22. Structural Biology of Disease Processes Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 23. RNA Virus Replication Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 24. Retroviral Immunology Laboratory, The Francis Crick Institute, London NW1 1AT, UK. 25. Haemato-oncology Unit, The Royal Marsden NHS Foundation Trust, London, UK. 26. Cancer Dynamics Laboratory, The Francis Crick Institute, London NW1 1AT, UK; Skin and Renal Units, The Royal Marsden NHS Foundation Trust, London, UK; Melanoma and Kidney Cancer Team, Institute of Cancer Research, London, UK. Electronic address: samra.turajlic@crick.ac.uk.
Patients with cancer are at greater risk of severe COVID-19 and have been prioritised for COVID-19 vaccination globally. We previously showed that following two doses of COVID-19 vaccines, neutralising antibody (nAb) responses against the B.1.1.7 (alpha), B.1.351 (beta), and B.1.617.2 (delta) variants of concern (VOCs) are decreased compared to the wild type (WT) SARS-CoV-2, particularly in patients with blood cancer. More recently, we reported that following a third vaccine dose, nAb responses to these VOCs increase in most patients with cancer, including those with no or waning response following two vaccine doses. Since November, 2021, the B.1.1.529 (omicron) VOC has rapidly become the dominant SARS-CoV-2 VOC globally. Omicron partially evades vaccine-induced immunity, but a third vaccine dose increases omicron nAb responses in the general population.4, 5, 6 Comparable data in patients with cancer are lacking, leaving patients and cancer physicians without the means to calibrate infection risk while maintaining necessary cancer treatments. We used live-virus micro-neutralisation assays to evaluate response to omicron following three doses of COVID-19 vaccine in participants of the CAPTURE study (NCT03226886), a prospective, longitudinal cohort of patients with cancer.We evaluated 199 patients with cancer, 115 (58%) of whom had solid cancer and 84 (42%) blood cancer, all of whom received a third dose of BNT162b2 (appendix p 1) after two doses of either BNT162b2 (33%) or ChAdOx1 (67%). A matched sample obtained before the third dose was also evaluated in 179 of 199 patients (100 of 115 patients with solid cancer; 79 of 84 with blood cancer). The median time between the second and third doses was 176 days (IQR 166–188). 23 of 199 patients had a history of SARS-CoV-2 infection, all before the second vaccine dose, and none with omicron. nAb titres (nAbT) against delta and omicron were measured at a median of 11 days (IQR 0–78) before and 23 days (19–29) after the third vaccine dose. As described previously for this assay, nAbT was categorised as undetectable (<40, the lower limit of detection) or detectable (>40).1, 8, 9Among the 100 patients with solid cancer, after two vaccine doses, nAbT against omicron was detectable in 37 (37%) patients (appendix p 4), whereas nAbT against delta was detectable in 56 (56%) patients (McNemar test, p=0·0002) and nAbT against WT SARS-CoV-2 was detectable in 97 (97%) patients (p<0·0001). Among the 115 patients with solid cancer who had a third vaccine dose, nAbT against omicron was detectable in 104 (90%) patients, whereas nAbT against delta was detectable in 112 (97%) patients (p=0·013), and nAbT against WT SARS-CoV-2 was detectable in 114 (99%) patients (p=0·0044).Among 79 patients with blood cancer, after two vaccine doses, nAbT against omicron was detectable in 15 (19%) patients (appendix p 4), whereas nAbT against delta was detetable in 31 (39%) patients (McNemar test, p=0·0002) and nAbs against WT SARS-CoV-2 was detectable in 31 (89%) patients (p<0.0001).2 Among the 84 patients who received a third vaccine dose, nAbs against omicron was detectable in 47 (56%) patients, whereas nAbT against delta was detectable in 60 (71%) patients (p=0.0009), and nAbT against WT SARS-CoV-2 was detectable in 72 (86%) patients (p<0·0001). Considering the 64 of 79 patients with blood cancer who had undetectable nAbT against omicron after two vaccine doses, 29 (45%) developed nAbs against omicron after the third dose, indicating effective boosting in many patients. The nAbT against omicron correlated with nAbT against WT SARS-CoV-2 and delta, respectively (appendix p 4) but were consistently lower.Overall, our data from patients with cancer highlight the higher immune evasive capacity of omicron than delta, which is consistent with the observations in the general population. We found that a third vaccine dose boosted the neutralising response against omicron in patients with cancer, but the effect was blunted in patients with blood cancer compared to those with solid cancer.Multivariable logistic regression analysis (appendix p 3) confirmed that after three doses, detectable nAbT against omicron was significantly associated with cancer type (solid vs blood cancer odds ratio [OR] 7·51 [95% CI 4·05–14·63], p<0·001) but not age, sex, or the vaccine type administered as first and second dose (BNT162b2 vs ChAdOx1).In a separate multivariable logistic regression analysis, we considered only patients with blood cancer. Treatment with anti-CD20 monoclonal antibodies within 12 months, and Bruton's tyrosine kinase inhibitors (BTKi) within 28 days of the third vaccine dose was significantly associated with undetectable nAbT against omicron (OR 0·04 [95% CI 0·003–0·21], p=0·0074. None of ten patients who received anti-CD20 and one of five patients who received BTKi had detectable nAbT against omicron following three vaccine doses. The presence of progressive disease versus complete response following the most recent anticancer treatment was also significantly associated with undetectable NAbT against omicron (OR 0·08 [95% CI 0·01–0·46], p=0·027). Blood cancer subtype, vaccine type administered as first and second dose, and age were not significantly associated with detectable NAbT against omicron.Finally, we evaluated omicron nAbT in four patients with a history of breakthrough delta infection after two vaccine doses. The time from the second vaccine dose to infection ranged from 112 to 176 days. COVID-19 symptoms were mild (n=3 patients, WHO COVID-19 severity index 2–3, including fever [n=2], coryza [n=2], cough [n=2]), and one patient was asymptomatic. None of the patients had detectable nAbT against omicron or delta2) before infection. Following infection, all patients developed detectable nAbT against omicron (as well as delta; appendix p 5), suggesting that two vaccine doses and a third antigenic challenge via delta infection can lead to a functional immune response against omicron.There are limitations to our study. Additional subgroup analyses were limited by the heterogeneity and size of the blood cancer cohort and will require more patients. The exact correlates of immune protection against VOC remain undefined; however, multiple studies have shown that higher nAbT correlate with reduced risk of symptomatic infection.10, 11 Finally, we did not evaluate vaccine-induced cellular responses to omicron as we had for other VOCs.2 We note that emerging reports suggest T-cell responses against omicron remain comparable to ancestral variants in the general population without cancer.12, 13In conclusion, we show that most of the patients with cancer in the CAPTURE cohort lacked detectable nAbT against omicron following two vaccine doses, independent of the vaccine type. A third dose of BNT162b2 resulted in a significant increase in patients with nAbT against omicron. Whereas only a few patients with solid cancer lacked nAbT against omicron after three vaccine doses, a substantial proportion of patients with blood cancer, especially those on B-cell-depleting therapies or with progressive cancer, did not mount a detectable response. We previously showed that T-cell responses against delta are detected in patients with cancer even in the absence of humoral response. T cells probably continue to offer a degree of protection against severe COVID-19, and we note that ancestral SARS-CoV-2-specific T cells cross-recognise omicron.12 Given the high transmissibility and current prevalence of omicron, continued mask-wearing, physical distancing, and vaccination of close contacts will be crucial to protecting patients with blood cancer. Further, early treatment with neutralising monoclonal antibodies⁶ or antivirals might be beneficial and are being deployed to vulnerable patient groups in the UK. The incremental benefit of a third vaccine dose in boosting nAb responses in patients with blood cancer lends support for a fourth dose in this population, as per UK guidance at the time of writing.For UK guidance on booster vaccine see https://www.nhs.uk/conditions/coronavirus-covid-19/coronavirus-vaccination/coronavirus-booster-vaccine/DC has received institutional grant funding from MedImmune/AstraZeneca, Clovis, Eli Lilly, 4SC, Bayer, Celgene, Leap, Roche. DLVB has received grant funding from AstraZeneca. CS is funded by CRUK (TRACERx, PEACE and CRUK Cancer Immunotherapy Catalyst Network), the CRUK Lung Cancer Centre of Excellence (C11496/A30025), the Rosetrees Trust, Butterfield and Stoneygate Trusts, the Novo Nordisk Foundation (ID16584), a Royal Society Professorship Enhancement award (RP/EA/180007), the National Institute of Health Research (NIHR) Biomedical Research Centre at University College London Hospitals, the CRUK University College London Centre, the Experimental Cancer Medicine Centre and the Breast Cancer Research Foundation (BCRF 20-157). This work was supported by a Stand Up To Cancer‐LUNGevity-American Lung Association Lung Cancer Interception Dream Team Translational research grant (SU2C-AACR-DT23-17 to SMD and AES). Stand Up To Cancer is a division of the Entertainment Industry Foundation. Research grants are administered by the American Association for Cancer Research, the scientific partner of SU2C. CS received an ERC Advanced Grant (PROTEUS) from the European Research Council under the European Union's Horizon 2020 research and innovation programme (835297). CS is a Royal Society Napier Research Professor (RP150154). ST is funded by Cancer Research UK (A29911); the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC10988), the UK Medical Research Council (FC10988), and the Wellcome Trust (FC10988); the NIHR Biomedical Research Centre at the Royal Marsden Hospital and Institute of Cancer Research (grant reference number A109), the Royal Marsden Cancer Charity, The Rosetrees Trust (A2204), Ventana Medical Systems (grant reference numbers 10467 and 10530), the National Institute of Health (U01 CA247439) and Melanoma Research Alliance (686061). ST has received speaking fees from Roche, Astra Zeneca, Novartis, and Ipsen. ST has the following patents filed: Indel mutations as a therapeutic target and predictive biomarker PCTGB2018/051892 PCTGB2018/051893 and Clear Cell Renal Cell Carcinoma Biomarkers P113326GB. All other authors declare no competing interests. AF, STCS, LA, MW, and RH contributed equally.
Authors: Annika Fendler; Scott T C Shepherd; Lewis Au; Katalin A Wilkinson; Mary Wu; Fiona Byrne; Maddalena Cerrone; Andreas M Schmitt; Nalinie Joharatnam-Hogan; Benjamin Shum; Zayd Tippu; Karolina Rzeniewicz; Laura Amanda Boos; Ruth Harvey; Eleanor Carlyle; Kim Edmonds; Lyra Del Rosario; Sarah Sarker; Karla Lingard; Mary Mangwende; Lucy Holt; Hamid Ahmod; Justine Korteweg; Tara Foley; Jessica Bazin; William Gordon; Taja Barber; Andrea Emslie-Henry; Wenyi Xie; Camille L Gerard; Daqi Deng; Emma C Wall; Ana Agua-Doce; Sina Namjou; Simon Caidan; Mike Gavrielides; James I MacRae; Gavin Kelly; Kema Peat; Denise Kelly; Aida Murra; Kayleigh Kelly; Molly O'Flaherty; Lauren Dowdie; Natalie Ash; Firza Gronthoud; Robyn L Shea; Gail Gardner; Darren Murray; Fiona Kinnaird; Wanyuan Cui; Javier Pascual; Simon Rodney; Justin Mencel; Olivia Curtis; Clemency Stephenson; Anna Robinson; Bhavna Oza; Sheima Farag; Isla Leslie; Aljosja Rogiers; Sunil Iyengar; Mark Ethell; Christina Messiou; David Cunningham; Ian Chau; Naureen Starling; Nicholas Turner; Liam Welsh; Nicholas van As; Robin L Jones; Joanne Droney; Susana Banerjee; Kate C Tatham; Mary O'Brien; Kevin Harrington; Shreerang Bhide; Alicia Okines; Alison Reid; Kate Young; Andrew J S Furness; Lisa Pickering; Charles Swanton; Sonia Gandhi; Steve Gamblin; David L V Bauer; George Kassiotis; Sacheen Kumar; Nadia Yousaf; Shaman Jhanji; Emma Nicholson; Michael Howell; Susanna Walker; Robert J Wilkinson; James Larkin; Samra Turajlic Journal: Nat Cancer Date: 2021-10-27
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