Evidence map›Paper›PMID 34845005›Full record

ArticleJournal for immunotherapy of cancer2021

Immune checkpoint blocking impact and nomogram prediction of COVID-19 inactivated vaccine seroconversion in patients with cancer: a propensity-score matched analysis.

Yifei Ma, Nianqi Liu, Youlong Wang, Jiling Zeng, Ying-Ying Hu, Wu Hao, Huazheng Shi, Pengfei Zhu, Jun Lv, Wei Fan and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Vaccination of Adults With Cancer: ASCO Guideline.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Guideline
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  4. Impact of COVID-19 vaccination on cancer patients: safety, efficacy, and long-term effects.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Yifei Ma *Department of Orthopedics & Spine Surgery, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, People's Republic of China.
Nianqi Liu *Lab for Post-traumatic Stress Disorder, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, People's Republic of China.
Youlong Wang *Department of General Surgery, Hainan Hospital of PLA General Hospital, Sanya City, Hainan Province, People's Republic of China.
Jiling ZengDepartment of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Ying-Ying HuDepartment of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Wu HaoDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Huazheng ShiDepartment of Nuclear Medicine, Shanghai Universal Medical Imaging Center, Shanghai, People's Republic of China.
Pengfei ZhuDepartment of Clinical Laboratory, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People's Republic of China.
Jun LvDepartment of Infectious Diseases and Hepatology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People's Republic of China.
Wei FanDepartment of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China xjwang4@stu.edu.cn fanwei@sysucc.org.cn.
Xinjia WangDepartment of Orthopedics & Spine Surgery, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, People's Republic of China xjwang4@stu.edu.cn fanwei@sysucc.org.cn.ORCID 0000-0003-1016-4669
Sun Yat-sen University · CNFirst Affiliated Hospital of Zhengzhou University · CNShantou University · CNSecond Military Medical University · CNShanghai Medical Information Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with cancer on active immune checkpoint inhibitors therapy were recommended to seek prophylaxis from COVID-19 by vaccination. There have been few reports to date to discuss the impact of progression cell death-1 blockers (PD-1B) on immune or vaccine-related outcomes, and what risk factors that contribute to the serological status remains to be elucidated. The study aims to find the impact of PD-1B on vaccination outcome and investigate other potential risk factors associated with the risk of seroconversion failure.

methodsPatients with active cancer treatment were retrospectively enrolled to investigate the interaction effects between PD-1B and vaccination. Through propensity score matching of demographic and clinical features, the seroconversion rates and immune/vaccination-related adverse events (irAE and vrAE) were compared in a head-to-head manner. Then, a nomogram predicting the failure risk was developed with variables significant in multivariate regression analysis and validated in an independent cohort.

resultsPatients (n=454) receiving either PD-1B or COVID-19 vaccination, or both, were matched into three cohorts (vac+/PD-1B+, vac+/PD-1B-, and vac-/PD-1B+, respectively), with a non-concer control group of 206 participants. 68.1% (94/138), 71.3% (117/164), and 80.5% (166/206) were seropositive in vac+/PD-1B+cohort, vac+/PD-1B- cohort, and non-cancer control group, respectively. None of irAE or vrAE was observed to be escalated in PD-1B treatment except for low-grade rash.The vaccinated patients with cancer had a significantly lower rate of seroconversion rates than healthy control. A nomogram was thus built that encompassed age, pathology, and chemotherapy status to predict the seroconversion failure risk, which was validated in an independent cancer cohort of 196 patients.

conclusionAlthough patients with cancer had a generally decreased rate of seroconversion as compared with the healthy population, the COVID-19 vaccine was generally well tolerated, and seroconversion was not affected in patients receiving PD-1B. A nomogram predicting failure risk was developed, including age, chemotherapy status, pathology types, and rheumatic comorbidity.

Indexed as

SeroconversionAdultChinaCOVID-19COVID-19 VaccinesFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedNeoplasmsNomogramsPropensity ScoreRetrospective StudiesVaccines, InactivatedCOVID-19 VaccinesImmune Checkpoint InhibitorsVaccines, InactivatedCOVID-19immunogenicityvaccinationvaccine

Identifiers

PMID34845005
PMCPMC8634011
OpenAlexW3215592824

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.