Evidence map›Paper›PMID 38916448›Full record

ArticleCancer research communications2024

Exploration of Immune-Modulatory Effects of Amivantamab in Combination with Pembrolizumab in Lung and Head and Neck Squamous Cell Carcinoma.

Sun M Lim, Seong-San Kang, Dong K Kim, Soo-Hwan Lee, Chun-Bong Synn, Sujeong Baek, Seung M Yang, Yu J Han, Mi H Kim, Heekyung Han and 13 more

Abstract read
In one paragraph

Article in Cancer research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Amivantamab Induces Immune-Mediated Cytotoxicity in Mesothelioma Through EGFR and MET Engagement.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  3. Review
  4. Understanding and overcoming multidrug resistance in cancer.Nature reviews. Clinical oncology · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. 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

23 authors.

Sun M Lim *Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0001-7694-1593
Seong-San Kang *JEUK Institute for Cancer Research, JEUK Co., Ltd., Gumi-si, South Korea.ORCID 0000-0002-9074-5043
Dong K KimSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-1407-2369
Soo-Hwan LeeJEUK Institute for Cancer Research, JEUK Co., Ltd., Gumi-si, South Korea.
Chun-Bong SynnSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.
Sujeong BaekSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0009-0007-1215-0013
Seung M YangSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0009-0005-6412-9019
Yu J HanSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0009-0007-9022-8744
Mi H KimSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0009-0009-1253-0811
Heekyung HanSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0009-0006-4096-7023
Kwangmin NaSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0003-4916-026X
Young T KimBrain Korea 21 PLUS Project for Medical Science, College of Medicine, Yonsei University, Seoul, South Korea.ORCID 0009-0001-3045-9678
Mi R YunSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-2398-3287
Jae H KimSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0003-3988-8134
Youngseon ByeonSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.
Young S KimSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.
Jii B LeeDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0001-5608-3157
Min H HongDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0003-3490-2195
Joshua C CurtinJanssen R&D, Spring House, Pennsylvania.
Bharvin PatelJanssen R&D, Spring House, Pennsylvania.ORCID 0009-0004-5548-8389
Isabelle BergiersJanssen R&D, Beerse, Belgium.
Kyoung-Ho PyoDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0001-5428-0288
Byoung C ChoDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-5562-270X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors are effective first-line therapy for solid cancers. However, low response rate and acquired resistance over time has led to the need for additional therapeutic options. Here, we evaluated synergistic antitumor efficacy of EGFR × MET targeting bispecific antibody, amivantamab with PD-L1 immunotherapy, pembrolizumab in head and neck squamous cell carcinoma (HNSCC) and lung squamous cell carcinoma tumor-bearing humanized patient-derived xenograft (PDX) models. We demonstrated that pembrolizumab or amivantamab alone was ineffective and that combination treatment induced a significant reduction of tumor growth in both models (P < 0.0001 and P < 0.01, respectively). It appeared that combination of amivantamab and pembrolizumab significantly enhanced infiltration of granzyme B-producing CD8 T cells was in the TME of HNSCC PDX (P < 0.01) and enhanced neoantigen-associated central memory CD8 T cells in circulating immune cells. Analysis of single-cell RNA transcriptomics suggested that the tumor cells dramatically upregulated EGFR and MET in response to PD-L1 immunotherapy, potentially creating a metabolic state fit for tumor persistence in the tumor microenvironment (TME) and rendered pembrolizumab ineffective. We demonstrated that EGFRHIGHMETHIGH subcluster displayed an increased expression of genes implicated in production of lactate [SLC16A3 and lactate dehydrogenase A (LDHA)] compared to the EGFRLOWMETLOW cluster. Accumulation of lactate in the TME has been associated with immunosuppression by hindering the infiltration of tumor killing CD8 T and NK cells. This study proved that amivantamab reduced glycolytic markers in the EGFRHIGHMETHIGH subcluster including SLC16A3 and LDHA and highlighted remodeling of the TME by combination treatment, providing rationale for additional therapy of amivantamab with PD-1 immunotherapy. SIGNIFICANCE: Amivantamab in synergy with pembrolizumab effectively eradicated EGFRHIGHMETHIGH tumor subcluster in the tumor microenvironment of head and neck squamous cell carcinoma and overcame resistance against anti-PD-1 immunotherapy.

Indexed as

Antibodies, Monoclonal, HumanizedLung NeoplasmsSquamous Cell Carcinoma of Head and NeckTumor MicroenvironmentAnimalsAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenCD8-Positive T-LymphocytesCell Line, TumorHead and Neck NeoplasmsHumansImmune Checkpoint InhibitorsMiceXenograft Model Antitumor AssaysAntibodies, Monoclonal, HumanizedB7-H1 AntigenImmune Checkpoint Inhibitorspembrolizumab

Identifiers

PMID38916448
PMCPMC11253790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.