Cited by 1,445Cancer Immunotherapy and BiomarkersImmunotherapy and Immune ResponsesT-cell and B-cell Immunology

The DOI matches its Crossref record; 350 of the 350 references it cites were found in a registry or an index; none of the 376 sources its claims cite is checked for support yet.

Combination strategies with PD-1/PD-L1 blockade: current advances and future directions

Open access

Abstract

Antibodies targeting programmed cell death protein-1 (PD-1) or its ligand PD-L1 rescue T cells from exhausted status and revive immune response against cancer cells. Based on the immense success in clinical trials, ten α-PD-1 (nivolumab, pembrolizumab, cemiplimab, sintilimab, camrelizumab, toripalimab, tislelizumab, zimberelimab, prolgolimab, and dostarlimab) and three α-PD-L1 antibodies (atezolizumab, durvalumab, and avelumab) have been approved for various types of cancers. Nevertheless, the low response rate of α-PD-1/PD-L1 therapy remains to be resolved. For most cancer patients, PD-1/PD-L1 pathway is not the sole speed-limiting factor of antitumor immunity, and it is insufficient to motivate effective antitumor immune response by blocking PD-1/PD-L1 axis. It has been validated that some combination therapies, including α-PD-1/PD-L1 plus chemotherapy, radiotherapy, angiogenesis inhibitors, targeted therapy, other immune checkpoint inhibitors, agonists of the co-stimulatory molecule, stimulator of interferon genes agonists, fecal microbiota transplantation, epigenetic modulators, or metabolic modulators, have superior antitumor efficacies and higher response rates. Moreover, bifunctional or bispecific antibodies containing α-PD-1/PD-L1 moiety also elicited more potent antitumor activity. These combination strategies simultaneously boost multiple processes in cancer-immunity cycle, remove immunosuppressive brakes, and orchestrate an immunosupportive tumor microenvironment. In this review, we summarized the synergistic antitumor efficacies and mechanisms of α-PD-1/PD-L1 in combination with other therapies. Moreover, we focused on the advances of α-PD-1/PD-L1-based immunomodulatory strategies in clinical studies. Given the heterogeneity across patients and cancer types, individualized combination selection could improve the effects of α-PD-1/PD-L1-based immunomodulatory strategies and relieve treatment resistance.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review summarizes mechanisms and clinical advances of combining PD-1/PD-L1 blockade with chemotherapy, radiotherapy, angiogenesis inhibitors, other immune checkpoints, targeted therapy, STING agonists, bispecific antibodies, FMT, epigenetic/metabolic modulators, cytokines, and CAR-T cells. It argues that combination strategies can boost multiple steps of the cancer-immunity cycle and improve response, but individualized selection and better predictive biomarkers are needed.

Key findings

  • Ten α-PD-1 antibodies (nivolumab, pembrolizumab, cemiplimab, sintilimab, camrelizumab, toripalimab, tislelizumab, zimberelimab, prolgolimab, dostarlimab) and three α-PD-L1 antibodies (atezolizumab, durvalumab, avelumab) have been approved for various cancers, yet low response rates remain a major problem.
  • Several combinations improve outcomes in trials: relatlimab plus nivolumab showed PFS 10.1 vs. 4.6 months (HR 0.75) in advanced melanoma; tiragolumab plus atezolizumab improved ORR (OR 2.57, 95% CI 1.07–6.14) and PFS (HR 0.57, 95% CI 0.37–0.90) in PD-L1-positive NSCLC; niraparib plus pembrolizumab had ORR 56.3% in PD-L1-high advanced NSCLC.
  • Toxicity can limit combinations: TATTON reported 22% interstitial lung disease with osimertinib plus durvalumab, and CheckMate-370 reported 38% severe hepatic toxicities with nivolumab plus crizotinib.
  • Only combinations of α-PD-1/PD-L1 with chemotherapy, angiogenesis inhibitors, or α-CTLA-4 are approved by the FDA or NMPA; most other combinations remain preclinical or in clinical trials.

Methods

  • Narrative review of published preclinical and clinical literature on α-PD-1/PD-L1-based combination strategies.
  • Synthesizes mechanisms, approved indications, and clinical trial results across many cancer types, with tables listing selected trials and bispecific/bifunctional antibodies.
  • No primary patient data, systematic search strategy, or meta-analysis is reported.

Limitations

  • The paper states that many positive preclinical findings have not been validated clinically, that optimal preclinical models are a challenge, and that only a few combinations are approved.
  • It states that combination therapy increases irAE risk and healthcare cost, and that optimal dosage, timing, sequence, and predictive biomarkers remain unclear.
  • Evident from the text: this is a narrative review without a described systematic search or quantitative synthesis, so selection and interpretation of cited trials may be subject to bias.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1186/s12943-021-01489-2

Cites

350 of 350 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 376 cited sources checked · 0 supported · 0 flagged

Show all 158 claims

  • It may state two separate claims as one. 72
  • Probably not a substantial claim. 22
91 of 91
  • The paper relies on this without support.

    Resistance to α-PD-1/PD-L1 is related to the upregulation of other immune checkpoints.

    “The resistance to α-PD-1/PD-L1 is related to the upregulation of other immune checkpoints.”
  • The paper relies on this without support.

    At present, only combinations of α-PD-1/PD-L1 with chemotherapy, angiogenesis inhibitor, or α-CTLA-4 are approved by the FDA or NMPA.

    “At present, only combinations of α-PD-1/PD-L1 with chemotherapy, angiogenesis inhibitor, or α-CTLA-4 are approved by the FDA or NMPA.”
  • The paper relies on this without support.

    Combination therapy increases the risk of irAEs and the cost of health care.

    “Besides, combination therapy increases the risk of irAEs and the cost of health care.”
  • The paper relies on this without support.

    Cyclic dinucleotides have two main flaws: poor transmembrane capability and dependence on intratumor injection.

    “Generally, CDNs have two main flaws: poor transmembrane capability and depending on intratumor injection.”
4 of 4

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Citations

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Metadata

Authors
Yi, M., Zheng, X., Niu, M., Zhu, S., Ge, H., & Wu, K.
Affiliations
  • Tongji Hospital (CN)
  • Zhengzhou University (CN)
Corresponding author
  • Ge, Hong
  • Wu, Kongming
Venue
Molecular Cancer
Published
2022-01-21
Volume
21
Issue
1
Pages
28-28
ISSN
1476-4598 (ISSN-L)
OpenAlex
W4205454439
Cited by
1,445
References
350
Citations by year
2026: 224 · 2025: 417 · 2024: 430 · 2023: 266 · 2022: 107
FWCI
37.54
Type
journal article
Language
en
Open access
Locations
  • Molecular Cancer (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (81874120, 82073370)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
Keywords
PD-1/PD-L1 blockade, immune checkpoint inhibitors, combination cancer therapy, nivolumab, pembrolizumab, durvalumab, avelumab, bispecific antibodies, cancer immunotherapy, tumor microenvironment, cancer-immunity cycle, treatment resistance
MeSH terms
Clinical Studies as Topic, Immune Checkpoint Inhibitors, Antineoplastic Combined Chemotherapy Protocols, Combined Modality Therapy, Disease Susceptibility, Humans, Neoplasms, Prognosis, Biomarkers, Tumor, Treatment Outcome, Disease Management, Molecular Targeted Therapy, B7-H1 Antigen, Programmed Cell Death 1 Receptor

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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