Evidence map›Paper›PMID 41410701›Full record

ArticleCancer immunology, immunotherapy : CII2025

Elevated antidrug antibodies against atezolizumab and associated clinical outcomes in advanced non-small-cell lung cancer.

Miran Jang, Chan Kim, So Jung Kong, Hannah Yang, Won Suk Lee, Ho Yun Lee, Hong Jae Chon, Se-Hoon Lee

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Miran Jang *Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.ORCID http://orcid.org/0000-0002-5046-161X
Chan Kim *Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea.ORCID http://orcid.org/0000-0001-9780-6155
So Jung KongMedical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea.ORCID http://orcid.org/0000-0002-8988-8258
Hannah YangMedical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea.ORCID http://orcid.org/0000-0003-2252-7041
Won Suk LeeMedical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea.ORCID http://orcid.org/0000-0003-2753-5294
Ho Yun LeeDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.ORCID http://orcid.org/0000-0001-9960-5648
Hong Jae ChonMedical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-Ro, Bundang-Gu, Seongnam, 13496, Republic of Korea. minidoctor@cha.ac.kr.ORCID http://orcid.org/0000-0002-6979-5812
Se-Hoon LeeDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea. shlee119@skku.edu.ORCID http://orcid.org/0000-0002-9219-3350

Funding

Bio&Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) No. RS-2023-00225255Future Medicine 2030 Project of the Samsung Medical Center #SMO1250061Future Medicine 2030 Project of the Samsung Medical Center #SMX1250111grant of Korean ARPA-H Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea RS-2024-00512539grant of the Korea-US Collaborative Research Fund(KUCRF), funded by the Ministry of Science and ICT and Ministry of Health & Welfare, Republic of Korea RS-2024-00466776Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea RS-2020-KH088685National Research Foundation of Korea (NRF) grant funded by the Korea government RS-2025-00519956National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) NRF-2023R1A2C2004339National Research Foundation of Korea [NRF] grants funded by the Korean government [MSIT] NRF-2023R1A2C2006375
6 · The paper itself

Abstract

backgroundAlthough atezolizumab has demonstrated efficacy in advanced non-small-cell lung cancer (NSCLC), antidrug antibody (ADA) may reduce its effectiveness by lowering drug exposure. We explored the association between ADA levels and clinical outcomes.

methodsWe retrospectively analyzed 86 patients with advanced NSCLC who received atezolizumab monotherapy (1200 mg every 3 weeks) between August 2018 and September 2022 at Samsung Medical Center, Seoul, Korea. Blood samples were collected prior to the first and second doses (baseline and week 3). ADA levels were measured by ELISA and correlated with plasma atezolizumab concentrations and clinical outcomes using Kaplan-Meier estimates and Cox proportional hazards models.

resultsAll 86 patients received atezolizumab as a second-line or later treatment (second-line, n = 65; third-line, n = 12; ≥ fourth-line, n = 9). Patients (median age [IQR], 67 [61-73] years; 73 [84.9%] male) showed significantly elevated ADA levels three weeks after treatment (median [IQR] 0 [0-0] vs. 530.3 [146.9-3050.5] ng/mL; p < 0.001). Strong ADA levels (≥ 1000 ng/mL) were observed in 32 (37.2%) patients and were associated with shorter PFS (HR = 1.86, 95% CI: 1.15-3.02, p = 0.010) and OS (HR = 1.92, 95% CI: 1.14-3.23, p = 0.013). Furthermore, patients with high ADA levels exhibited lower atezolizumab concentrations and reduced response rates compared to those with low ADA levels. Importantly, high ADA levels independently predicted poor prognosis in a multivariable analysis adjusted for clinical variables.

conclusionsHigh ADA levels were linked to lower atezolizumab exposure and worse outcomes. ADA monitoring may help predict prognosis and guide immunotherapy strategies.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungLung NeoplasmsAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesAntibodies, Monoclonal, HumanizedAntineoplastic AgentsatezolizumabAntidrug antibodyAtezolizumabImmunotherapyNon-small-cell lung cancerPD-L1

Identifiers

PMID41410701
PMCPMC12714674

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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.