Literature DB >> 35617990

COVID-19 vaccine effectiveness in patients with cancer: remaining vulnerabilities and uncertainties.

Nicole M Kuderer1, Gary H Lyman2.   

Abstract

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Year:  2022        PMID: 35617990      PMCID: PMC9126557          DOI: 10.1016/S1470-2045(22)00252-2

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   54.433


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Patients with cancer are at an increased risk of serious complications and death from COVID-19, which is heightened by being aged 40 years or older, major medical comorbidities, poor performance status, the presence of haematological malignancies, and the receipt of immunosuppressive cancer therapies.1, 2, 3 Early pivotal randomised trials of COVID-19 vaccines showed their high level of safety and efficacy, but excluded individuals on immunosuppressive therapies, which includes most patients with cancer, leaving uncertainty about vaccine efficacy and safety in this setting. Reduced humoral or cellular immune vaccine responses have been observed in patients receiving cancer chemotherapy or other immunosuppressive treatments, most notably in patients with multiple myeloma or other B-cell malignancies and in those receiving B-cell-depleting or cellular therapies. Evidence for a waning of antibody responses to COVID-19 vaccination with time and subsequent breakthrough infections has been reported in people with and without cancer. Waning of humoral immunity in patients with cancer varies with cancer type and treatment, appearing greatest in patients with haematological malignancies or major comorbidities and in those receiving immunosuppressive therapies. A large, retrospective study of adults with solid tumours or haematological malignancies compared rates of SARS-CoV-2 infection between vaccinated and unvaccinated patients from Dec 15, 2020, to May 4, 2021, in the USA. Starting 14 days after the second vaccine dose, vaccine effectiveness was 57% (95% CI −23 to 90) for patients who received chemotherapy within 3 months of the first vaccine dose, 76% (50 to 91) for those receiving endocrine therapy, and 85% (29 to 100) for those who had not received systemic therapy for at least 6 months, with mortality being around 10% in both vaccinated and unvaccinated individuals with breakthrough infections. More recently, the National COVID Cohort Collaborative reported that vaccinated patients with cancer were more likely to have SARS-CoV-2 breakthrough infections resulting in more severe outcomes than vaccinated individuals without cancer. Breakthrough infections were most common among patients with haematological malignancies or those receiving immunosuppressive therapies or stem-cell transplantation. An electronic health record cohort study of vaccinated participants from 66 US academic health centres found that patients with cancer, and especially those receiving active cancer care, were at a significantly greater risk of breakthrough infections than were propensity-matched control participants without cancer, with variation across cancer types. Among patients with cancer, breakthrough infections resulted in hospitalisation in 31·6% and death in 6·7%. In The Lancet Oncology, the UK Coronavirus Cancer Evaluation Project (UKCCEP) reports a population-based, test-negative case-control study. Participants' unique National Health Service identification numbers were used to link SARS-CoV-2 PCR results from the Second Generation Surveillance System to vaccination records in the National Immunisation Management Service and cancer diagnoses and interventions from Public Health England's Rapid Cancer Registration Dataset. Among 377 194 patients with cancer, 42 882 PCR-confirmed SARS-CoV-2 breakthrough infections were identified following a second vaccine dose. Vaccine effectiveness was compared between a cohort of patients with cancer and a control cohort of participants without cancer. Although initially similar between the cohorts, vaccine effectiveness waned more rapidly in the cancer cohort, falling to 47·0% (95% CI 46·3–47·6) at 3–6 months, than in the control cohort, in which it decreased to 61·4% (61·4–61·5). Waning of vaccine effectiveness was greatest in patients with leukaemia or lymphoma or a recent cancer diagnosis and in those who had received systemic anticancer therapy or radiotherapy within the preceding 12 months. A post-hoc analysis estimated that vaccine effectiveness was 74·6% (72·8–76·3) against COVID-19-related hospitalisation and 90·3% (89·3–91·2) against COVID-19-related death at 3–6 months after the second dose in the cancer cohort; other studies have reported a more severe disease course and higher mortality associated with SARS-CoV-2 breakthrough infections in patients with cancer versus those without.4, 5, 7 The UKCCEP represents the largest population-level study of COVID-19 vaccine effectiveness in patients with cancer assessing risk factors for breakthrough infections before the omicron (B.1.1.529) wave or the initiation of booster vaccinations. The test-negative case-control method is not without limitations, but is commonly used in large, population-based, surveillance studies and reasonably controls for health behaviour biases. A major challenge of all observational studies is the presence of unrecognised or unmeasured confounding factors that can impact the assessment of medical interventions. The presence and severity of major comorbidities, which are common in older patients with cancer, and the pandemic time period of exposure are known potential confounding factors that were not accounted for in this study. Likewise, COVID-19 monitoring might have differed between cohorts, as patients with cancer are followed up more closely than the general population. The UKCCEP results and those from other population studies4, 5, 7 strongly support a recommendation that clinically vulnerable patients with cancer be prioritised for additional vaccine doses, early anti-COVID-19 treatments for documented infection, and COVID-19 prophylaxis when indicated. More data are needed on outcomes from breakthrough infections and adverse events, including mortality, in susceptible subgroups. Further studies of vaccine boosters are encouraged to establish valid risk thresholds of waning humoral and cellular immunity to identify the most clinically vulnerable. In the meantime, high-quality face masks and physical distancing offer important protection against any strain of SARS-CoV-2. We cannot forget that no one will be truly safe until global disparities in access to COVID-19 vaccines are finally addressed. NMK reports consulting fees from Beyond Spring, Bristol Myers Squibb, G1 Therapeutics, Sandoz, Seattle Genetics, Janssen, Pfizer, and Spectrum and research funding from Amgen to her institution (family member), all outside the submitted Comment. GHL reports research grant support from Amgen to the Fred Hutchinson Cancer Center and consulting fees from Beyond Spring, G1 Therapeutics, Partner Therapeutics, Samsung Bioepis, Merck, Jazz, TEVA, Squibb, Sandoz, Seattle Genetics, and Fresenius Kabi, all outside the submitted Comment.
  10 in total

1.  Vaccine effectiveness against COVID-19 breakthrough infections in patients with cancer (UKCCEP): a population-based test-negative case-control study.

Authors:  Lennard Y W Lee; Thomas Starkey; Maria C Ionescu; Martin Little; Michael Tilby; Arvind R Tripathy; Hayley S Mckenzie; Youssra Al-Hajji; Matthew Barnard; Liza Benny; Alexander Burnett; Emma L Cattell; Jackie Charman; James J Clark; Sam Khan; Qamar Ghafoor; George Illsley; Catherine Harper-Wynne; Rosie J Hattersley; Alvin J X Lee; Pauline C Leonard; Justin K H Liu; Matthew Pang; Jennifer S Pascoe; James R Platt; Vanessa A Potter; Amelia Randle; Anne S Rigg; Tim M Robinson; Tom W Roques; René L Roux; Stefan Rozmanowski; Mark H Tuthill; Isabella Watts; Sarah Williams; Tim Iveson; Siow Ming Lee; Gary Middleton; Mark Middleton; Andrew Protheroe; Matthew W Fittall; Tom Fowler; Peter Johnson
Journal:  Lancet Oncol       Date:  2022-05-23       Impact factor: 54.433

2.  Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients With Cancer: Real-World Evidence From the National COVID Cohort Collaborative.

Authors:  Qianqian Song; Benjamin Bates; Yu Raymond Shao; Fang-Chi Hsu; Feifan Liu; Vithal Madhira; Amit Kumar Mitra; Timothy Bergquist; Ramakanth Kavuluru; Xiaochun Li; Noha Sharafeldin; Jing Su; Umit Topaloglu
Journal:  J Clin Oncol       Date:  2022-03-14       Impact factor: 50.717

3.  Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

Authors:  Nicole M Kuderer; Toni K Choueiri; Dimpy P Shah; Yu Shyr; Samuel M Rubinstein; Donna R Rivera; Sanjay Shete; Chih-Yuan Hsu; Aakash Desai; Gilberto de Lima Lopes; Petros Grivas; Corrie A Painter; Solange Peters; Michael A Thompson; Ziad Bakouny; Gerald Batist; Tanios Bekaii-Saab; Mehmet A Bilen; Nathaniel Bouganim; Mateo Bover Larroya; Daniel Castellano; Salvatore A Del Prete; Deborah B Doroshow; Pamela C Egan; Arielle Elkrief; Dimitrios Farmakiotis; Daniel Flora; Matthew D Galsky; Michael J Glover; Elizabeth A Griffiths; Anthony P Gulati; Shilpa Gupta; Navid Hafez; Thorvardur R Halfdanarson; Jessica E Hawley; Emily Hsu; Anup Kasi; Ali R Khaki; Christopher A Lemmon; Colleen Lewis; Barbara Logan; Tyler Masters; Rana R McKay; Ruben A Mesa; Alicia K Morgans; Mary F Mulcahy; Orestis A Panagiotou; Prakash Peddi; Nathan A Pennell; Kerry Reynolds; Lane R Rosen; Rachel Rosovsky; Mary Salazar; Andrew Schmidt; Sumit A Shah; Justin A Shaya; John Steinharter; Keith E Stockerl-Goldstein; Suki Subbiah; Donald C Vinh; Firas H Wehbe; Lisa B Weissmann; Julie Tsu-Yu Wu; Elizabeth Wulff-Burchfield; Zhuoer Xie; Albert Yeh; Peter P Yu; Alice Y Zhou; Leyre Zubiri; Sanjay Mishra; Gary H Lyman; Brian I Rini; Jeremy L Warner
Journal:  Lancet       Date:  2020-05-28       Impact factor: 79.321

4.  Association of Clinical Factors and Recent Anti-Cancer Therapy with COVID-19 Severity among Patients with Cancer: A Report from the COVID-19 and Cancer Consortium.

Authors:  P Grivas; A R Khaki; T M Wise-Draper; B French; C Hennessy; C-Y Hsu; Y Shyr; X Li; T K Choueiri; C A Painter; S Peters; B I Rini; M A Thompson; S Mishra; D R Rivera; J D Acoba; M Z Abidi; Z Bakouny; B Bashir; T Bekaii-Saab; S Berg; E H Bernicker; M A Bilen; P Bindal; R Bishnoi; N Bouganim; D W Bowles; A Cabal; P F Caimi; D D Chism; J Crowell; C Curran; A Desai; B Dixon; D B Doroshow; E B Durbin; A Elkrief; D Farmakiotis; A Fazio; L A Fecher; D B Flora; C R Friese; J Fu; S M Gadgeel; M D Galsky; D M Gill; M J Glover; S Goyal; P Grover; S Gulati; S Gupta; S Halabi; T R Halfdanarson; B Halmos; D J Hausrath; J E Hawley; E Hsu; M Huynh-Le; C Hwang; C Jani; A Jayaraj; D B Johnson; A Kasi; H Khan; V S Koshkin; N M Kuderer; D H Kwon; P E Lammers; A Li; A Loaiza-Bonilla; C A Low; M B Lustberg; G H Lyman; R R McKay; C McNair; H Menon; R A Mesa; V Mico; D Mundt; G Nagaraj; E S Nakasone; J Nakayama; A Nizam; N L Nock; C Park; J M Patel; K G Patel; P Peddi; N A Pennell; A J Piper-Vallillo; M Puc; D Ravindranathan; M E Reeves; D Y Reuben; L Rosenstein; R P Rosovsky; S M Rubinstein; M Salazar; A L Schmidt; G K Schwartz; M R Shah; S A Shah; C Shah; J A Shaya; S R K Singh; M Smits; K E Stockerl-Goldstein; D G Stover; M Streckfuss; S Subbiah; L Tachiki; E Tadesse; A Thakkar; M D Tucker; A K Verma; D C Vinh; M Weiss; J T Wu; E Wulff-Burchfield; Z Xie; P P Yu; T Zhang; A Y Zhou; H Zhu; L Zubiri; D P Shah; J L Warner; G dL Lopes
Journal:  Ann Oncol       Date:  2021-03-18       Impact factor: 32.976

5.  Association of COVID-19 Vaccination With SARS-CoV-2 Infection in Patients With Cancer: A US Nationwide Veterans Affairs Study.

Authors:  Julie Tsu-Yu Wu; Jennifer La; Westyn Branch-Elliman; Linden B Huhmann; Summer S Han; Giovanni Parmigiani; David P Tuck; Mary T Brophy; Nhan V Do; Albert Y Lin; Nikhil C Munshi; Nathanael R Fillmore
Journal:  JAMA Oncol       Date:  2022-02-01       Impact factor: 31.777

6.  Breakthrough SARS-CoV-2 Infections, Hospitalizations, and Mortality in Vaccinated Patients With Cancer in the US Between December 2020 and November 2021.

Authors:  William Wang; David C Kaelber; Rong Xu; Nathan A Berger
Journal:  JAMA Oncol       Date:  2022-07-01       Impact factor: 33.006

7.  The Magic of Randomization versus the Myth of Real-World Evidence.

Authors:  Rory Collins; Louise Bowman; Martin Landray; Richard Peto
Journal:  N Engl J Med       Date:  2020-02-13       Impact factor: 91.245

8.  Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study.

Authors:  Ash K Clift; Carol A C Coupland; Ruth H Keogh; Karla Diaz-Ordaz; Elizabeth Williamson; Ewen M Harrison; Andrew Hayward; Harry Hemingway; Peter Horby; Nisha Mehta; Jonathan Benger; Kamlesh Khunti; David Spiegelhalter; Aziz Sheikh; Jonathan Valabhji; Ronan A Lyons; John Robson; Malcolm G Semple; Frank Kee; Peter Johnson; Susan Jebb; Tony Williams; Julia Hippisley-Cox
Journal:  BMJ       Date:  2020-10-20

Review 9.  COVID-19 vaccines in patients with cancer: immunogenicity, efficacy and safety.

Authors:  Annika Fendler; Elisabeth G E de Vries; Corine H GeurtsvanKessel; John B Haanen; Bernhard Wörmann; Samra Turajlic; Marie von Lilienfeld-Toal
Journal:  Nat Rev Clin Oncol       Date:  2022-03-11       Impact factor: 65.011

10.  Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant.

Authors:  Jamie Lopez Bernal; Nick Andrews; Charlotte Gower; Eileen Gallagher; Ruth Simmons; Simon Thelwall; Julia Stowe; Elise Tessier; Natalie Groves; Gavin Dabrera; Richard Myers; Colin N J Campbell; Gayatri Amirthalingam; Matt Edmunds; Maria Zambon; Kevin E Brown; Susan Hopkins; Meera Chand; Mary Ramsay
Journal:  N Engl J Med       Date:  2021-07-21       Impact factor: 91.245

  10 in total

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