Surreal illustration representing the search for biomarkers in lung cancer treatment.

PD-L1 Testing in Lung Cancer: Are We Chasing the Wrong Target?

"Unraveling the complexities of PD-L1 as a biomarker for NSCLC treatment and exploring more reliable alternatives for personalized immunotherapy."


Immunotherapy, particularly treatments targeting programmed cell death-1 (PD-1) and programmed cell death ligand-1 (PD-L1), has revolutionized the management of advanced non-small cell lung cancer (NSCLC). These therapies have become standard options in both initial and subsequent lines of treatment. While some patients experience lasting benefits, with 10-20% showing durable responses, identifying who will truly benefit remains a significant challenge.

PD-L1 expression, measured in tumor cells, has been used to predict responses to immune checkpoint inhibitors. However, its effectiveness as a biomarker has been inconsistent. Some studies show a correlation between PD-L1 levels and treatment success, while others do not. This inconsistency has led researchers to seek more reliable biomarkers to guide immunotherapy decisions.

This article examines the complexities of using PD-L1 as a biomarker in NSCLC, discusses the limitations that complicate its use, and explores promising alternative biomarkers currently under investigation. By understanding these challenges and emerging options, clinicians can move closer to personalized immunotherapy strategies for NSCLC.

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Current Role of PD-L1 Testing

For advanced non-small cell lung cancer (NSCLC) without driver mutations, immune checkpoint inhibitors combined with chemotherapy are described as standard first-line therapy, while PD-L1 remains the only approved immunotherapy marker. A 2023 analysis combined clinical-trial and real-world data to assess the predictive and prognostic value of biomarkers for checkpoint-inhibitor outcomes in NSCLC. Real-world research has also examined pembrolizumab prescribing patterns among patients with PD-L1-high NSCLC treated between June 2019 and June 2021.

Standard Testing, Variable Results

PD-L1 testing is described as standard for patients with NSCLC, although results can vary between testing approaches. The College of American Pathologists guideline highlights both the clinical rationale for PD-L1 and tumor mutational burden testing and the technical challenges of PD-L1 testing and interpretation. Real-world studies are also examining how clinical, demographic, and socioeconomic characteristics shape first-line treatment patterns in metastatic NSCLC.

From Checkpoint Biology to Biomarker Testing

Checkpoint inhibition has dramatically altered the treatment landscape for NSCLC, a historically treatment-resistant malignancy. Reviews of PD-L1 as a biomarker emphasize that pre-analytical and analytical factors, scoring algorithms, and the site and timing of tissue acquisition can influence test results. Research discussed in relation to the CheckMate-227 and IMpower 150 trials also identified potential biomarkers that, if confirmed prospectively, could broaden prediction of immunotherapy outcomes beyond PD-L1.

Why PD-L1 Isn't Always the Answer: Understanding the Biomarker Puzzle

Surreal illustration representing the search for biomarkers in lung cancer treatment.

Several factors contribute to the challenges of using PD-L1 as a reliable biomarker:

Variability in testing:

  • Tissue Collection Timing: When the sample is taken can affect PD-L1 levels.
  • Antibodies and Methods: Different tests use different antibodies and scoring systems, leading to inconsistent results.
  • Test Design: Lack of standardized test designs makes comparing results across studies difficult.
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Quantifying PD-L1 More Precisely

Recent work has focused on PD-L1-associated clinical and molecular characteristics in early-stage NSCLC as perioperative immunotherapy becomes more widely used. A 2025 study investigated the prognostic value of PD-L1 in patients receiving neoadjuvant immune checkpoint inhibition plus chemotherapy. Another study derived PD-L1 QCS-PMSTC, a quantitative measure of tumor cells with medium-to-strong staining intensity, and classified patients with values of at least 0.575% as biomarker-positive.

PD-L1 Is Not the Whole Story

The phase 3 HARMONi-2 trial illustrates a limitation of treating PD-L1 status as a complete treatment guide: ivonescimab, a PD-1/VEGF bispecific antibody, significantly improved progression-free survival over pembrolizumab monotherapy in PD-L1-positive NSCLC, including the subgroup with PD-L1 of at least 50%. Separately, different PD-L1 immunohistochemistry assays have been used across NSCLC trials, with particular assays linked to different checkpoint-inhibitor treatments. These findings point to both biological limits of PD-L1 prediction and technical variation in how PD-L1 is measured.

Comparing Treatment Strategies

Comparative research has evaluated PD-1/PD-L1 inhibitors for stage III and IV NSCLC using overall survival, progression-free survival, objective response rate, disease control rate, and severe treatment-related or immune-related adverse events. For patients with PD-L1-positive advanced NSCLC without targetable genomic alterations, a 2026 report found that sacituzumab tirumotecan plus pembrolizumab significantly prolonged progression-free survival compared with pembrolizumab alone. In the PD-L1 tumor proportion score 1% to 49% group, the relative performance of immune checkpoint inhibitor plus chemotherapy versus ipilimumab plus nivolumab-based therapy had not been evaluated in the cited study.

The tumor microenvironment, including the presence of immune cells, can influence PD-L1 expression. It's not just about the cancer cells themselves, but also how they interact with the surrounding immune system.

Beyond PD-L1: The Future of Personalized Immunotherapy

While PD-L1 testing has limitations, research is actively exploring new and improved biomarkers to predict immunotherapy response. One promising avenue is tumor mutational burden (TMB), which measures the number of mutations in a tumor's DNA. Studies suggest that patients with high TMB may respond better to certain immunotherapies, regardless of their PD-L1 status.

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A More Cautious Interpretation

PD-L1 testing remains clinically useful, but the available evidence suggests it should be interpreted as one part of treatment assessment rather than as a complete explanation of response. Variation in tissue sampling, assay methods, and tumor biology can make a single result difficult to generalize. A cautious approach therefore places PD-L1 within the wider clinical and molecular context.

Beyond a Single Biomarker

Reviews of current and future NSCLC immunotherapies describe continuing development beyond established PD-1/PD-L1 and CTLA-4 approaches. Future treatment selection is expected to depend on broader biomarker strategies and evolving immunotherapeutic combinations. Comprehensive testing that includes immunohistochemistry, fluorescence in situ hybridization, and next-generation sequencing is identified as critical for accurate therapeutic management.

The Limits of Standardization

The debate over PD-L1 reflects a broader challenge in precision oncology: a biomarker can be clinically important without being uniformly predictive. Differences in specimen quality, laboratory methods, interpretation, and access to comprehensive testing may affect how consistently results guide care. These limitations support a more individualized and multimodal approach, although the best combination of tests remains an evolving question.

Evidence in Everyday Care

Contemporary real-world data on advanced NSCLC treatment patterns across PD-L1 expression levels and testing status remain limited. A 2026 single-center retrospective study of patients with metastatic NSCLC and high PD-L1 expression found numerical differences in progression-free survival between first-line PD-1 and PD-L1 inhibitor monotherapy, but no statistically significant difference. Such findings underscore why treatment experiences outside clinical trials may not map neatly onto PD-L1 categories alone.

Another approach involves analyzing gene expression signatures, which reflect the activity of different genes within the tumor and its microenvironment. These signatures can provide a more comprehensive picture of the tumor's immune landscape and predict response to specific treatments.

As research progresses, the integration of multiple biomarkers – including TMB, gene signatures, and potentially refined PD-L1 assessments – will likely lead to more personalized and effective immunotherapy strategies for NSCLC. The ultimate goal is to ensure that the right patients receive the right treatment at the right time, maximizing benefit and minimizing unnecessary side effects.

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.21037/tlcr.2018.04.18, Alternate LINK

Title: Programmed Cell Death Ligand-1 (Pd-L1) As A Biomarker For Non-Small Cell Lung Cancer (Nsclc) Treatment—Are We Barking Up The Wrong Tree?

Subject: Oncology

Journal: Translational Lung Cancer Research

Publisher: AME Publishing Company

Authors: Wolfram C. M. Dempke, Klaus Fenchel, Stephen P. Dale

Published: 2018-09-01

Everything You Need To Know

1

How is PD-L1 used in non-small cell lung cancer (NSCLC) treatment decisions?

PD-L1 expression is assessed on tumor cells to predict how well someone might respond to immune checkpoint inhibitors in non-small cell lung cancer (NSCLC). However, it's not a perfect predictor. Some studies show a link between PD-L1 levels and treatment success, but others don't, leading to the search for more reliable biomarkers.

2

What are some of the reasons why PD-L1 testing can be unreliable?

Several factors make PD-L1 testing challenging. The timing of tissue collection, the use of different antibodies and scoring systems, and the lack of standardized test designs all contribute to inconsistent results. Also, the tumor microenvironment, including the presence of immune cells, can also influence PD-L1 expression.

3

What is Tumor Mutational Burden (TMB), and how does it relate to immunotherapy?

Tumor Mutational Burden, or TMB, measures the number of mutations in a tumor's DNA. Research indicates that patients with high TMB might respond better to certain immunotherapies, irrespective of their PD-L1 status. TMB offers a different perspective by looking at the genetic makeup of the tumor itself.

4

Besides PD-L1, what other types of biomarkers are being explored to predict immunotherapy response in NSCLC?

While PD-L1 focuses on a single protein's expression, TMB evaluates the overall genetic instability of the tumor. Gene signatures, analyze patterns of gene expression within the tumor and its microenvironment. These comprehensive approaches aim to capture a broader picture of the tumor's characteristics and its interaction with the immune system, potentially offering more accurate predictions of immunotherapy response.

5

What are the implications of PD-L1's limitations for the future of personalized immunotherapy in NSCLC?

The variability in PD-L1 testing and the complexity of the tumor microenvironment highlight the need for more comprehensive biomarkers like TMB and gene signatures. This shift aims to move towards personalized immunotherapy strategies that consider multiple factors beyond just PD-L1 expression. Future research will likely focus on combining these different biomarkers to create more accurate predictive models.

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