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Cancer DiagnosticsIndustry ShiftJun 8, 2026, 7:25 AM· 4 min read· in meta

FDA Clears Expanded Automated Cancer Screening, Accelerating Immunotherapy Matches

The FDA has approved a major expansion for Agilent's automated diagnostic test, allowing it to rapidly screen four additional solid tumor types for immunotherapy compatibility. The milestone promises to cut crucial days off the wait time for advanced cancer patients needing targeted treatments.

By Elena Castillo

Clinical Oncologists 35%Pathologists & Lab Directors 35%MedTech Industry Analysts 30%
Clinical Oncologists
Focused on the immediate patient benefits of faster treatment matching.
Pathologists & Lab Directors
Focused on workflow efficiency and alleviating systemic lab backlogs.
MedTech Industry Analysts
Focused on the commercial growth of companion diagnostics and market expansion.

The competing cases

Clinical Oncologists

Focused on the immediate patient benefits of faster treatment matching.

For treating physicians, the primary value of automated diagnostics lies in time-to-treatment. Oncologists point out that aggressive malignancies, such as Triple-Negative Breast Cancer, can progress rapidly in the days or weeks spent waiting for complex lab results. By accelerating the PD-L1 screening process, doctors can confidently initiate targeted immunotherapies sooner, bypassing the traditional 'trial and error' approach of administering broad-spectrum chemotherapy while waiting for biomarker data.

Pathologists & Lab Directors

Focused on workflow efficiency and alleviating systemic lab backlogs.

Laboratory directors view the FDA clearance through the lens of operational efficiency. The pathology sector is currently facing a dual challenge: a shrinking workforce of trained technicians and an exploding demand for complex, personalized cancer screenings. Automated platforms like the Dako Omnis alleviate this pressure by standardizing the tedious, multi-step staining process. This reduces human error, increases daily testing throughput, and allows pathologists to dedicate their time to high-level diagnostic interpretation.

Patient Advocacy Groups

Focused on equitable access to precision medicine.

Advocates for cancer patients emphasize that advanced diagnostics should not be restricted to elite research hospitals. Because automated systems are easier to operate and require less specialized manual labor, they can be deployed in community hospitals and regional cancer centers. This democratization of technology ensures that patients outside of major metropolitan hubs have equal access to the rapid biomarker profiling necessary for modern immunotherapy.

What’s at stake

For patients with aggressive cancers, every day spent waiting for lab results is a day without treatment. Automating the biomarker screening process means doctors can immediately determine if life-saving immunotherapies will work, eliminating the deadly 'trial and error' phase of oncology.

When a patient is diagnosed with an advanced or aggressive form of cancer, the clinical clock immediately starts ticking. Oncologists need to know exactly which targeted treatments will work for that specific patient's tumor, but extracting that genomic and protein data has traditionally required days of meticulous, multi-step laboratory work. On June 3, the U.S. Food and Drug Administration (FDA) handed oncology teams a major victory by clearing an expanded, fully automated diagnostic test designed to drastically reduce that wait time and streamline hospital workflows.[1]

The regulatory clearance applies specifically to the PD-L1 IHC 22C3 pharmDx assay, a sophisticated diagnostic tool developed by Agilent Technologies that runs on the company's Dako Omnis automated platform. Previously utilized for a much narrower range of cancers, the FDA's new authorization allows the automated system to screen four additional types of solid cancer tumors. This expansion effectively democratizes access to rapid biomarker testing for a significantly larger pool of patients facing advanced disease, ensuring that cutting-edge diagnostics are not limited to a handful of elite research institutions.[2][3]

At the heart of this technological leap is the rapidly evolving science of immunotherapy. Blockbuster drugs like Merck's Keytruda (pembrolizumab) work by stripping away the molecular camouflage that cancer cells use to hide from the body's natural immune system. However, these powerful therapies are only effective if the patient's tumor expresses a specific surface protein called PD-L1. If the protein is absent, the immunotherapy will likely fail, costing the patient precious time, exposing them to unnecessary side effects, and draining critical healthcare resources.

Immunotherapies rely on the presence of the PD-L1 biomarker to effectively target and destroy cancer cells.

Historically, measuring these PD-L1 levels required highly trained pathologists to manually prepare, stain, wash, and analyze delicate tissue samples—a labor-intensive process that is highly prone to bottlenecks when test volumes spike. By automating the complex staining and screening process on the Dako Omnis platform, laboratories can now process high volumes of tissue samples with unprecedented speed and precision. Pathologists are freed from the most tedious manual steps, allowing them to focus entirely on the final diagnostic interpretation and patient consultation.

Pathologists are freed from the most tedious manual steps, allowing them to focus entirely on the final diagnostic interpretation and patient consultation.

One of the most critical additions in this newly expanded FDA clearance is Triple-Negative Breast Cancer (TNBC). TNBC is notoriously aggressive and gets its name because it lacks the three most common biological receptors—estrogen, progesterone, and HER2—that standard breast cancer medications are designed to target. Because traditional hormone therapies are entirely ineffective against TNBC, determining whether a patient is a viable candidate for immunotherapy is an urgent clinical priority. The automated test can now deliver that definitive answer in a fraction of the traditional timeframe.[1]

Clinical oncologists have widely praised the development, noting that modern medical advancement is not solely about discovering new pharmaceutical compounds in a vacuum. It is equally about building the robust diagnostic infrastructure required to deploy those drugs effectively and safely in the real world. Getting a precise, biomarker-driven treatment plan into a doctor's hands even a few days earlier can profoundly alter a patient's clinical trajectory, shifting the paradigm from reactive guesswork to proactive, precision medicine. This shift eliminates the agonizing waiting period that often leaves patients feeling helpless during the most vulnerable phase of their diagnosis.

By automating the staining and preparation of tissue samples, labs can process high volumes of tests with unprecedented speed.

The expansion also arrives at a critical moment for the broader medical technology sector. Pathology laboratories across the United States are currently grappling with severe staffing shortages, retiring experts, and mounting testing backlogs. Automated platforms like the Dako Omnis act as a vital force multiplier, allowing existing laboratory personnel to handle the surging demand for complex genomic and biomarker profiling without compromising diagnostic accuracy or forcing patients to endure agonizing delays for their results. Industry analysts note that automation is rapidly becoming the only sustainable way to manage the sheer volume of data required by modern oncology.[3]

Looking ahead, Agilent plans to roll out the updated software and diagnostic protocols to major cancer centers and community hospitals throughout the summer months. As precision medicine continues to evolve at a breakneck pace, the integration of automated, high-throughput diagnostics is expected to become the definitive gold standard. By removing the friction from the testing process, the medical community is taking a massive step toward ensuring that the right patient receives the right drug at exactly the right time.[2][3]

Key takeaways

  • The FDA cleared an expansion for Agilent's automated PD-L1 diagnostic test on June 3, 2026.
  • The system can now automatically screen four additional solid tumor types, including Triple-Negative Breast Cancer.
  • PD-L1 testing is required to determine if a patient will respond to immunotherapies like Keytruda.
  • Automation drastically reduces the manual labor required in pathology labs, speeding up results.
  • Faster lab results allow oncologists to start patients on life-saving targeted treatments days earlier.

Sources

Source coverage

3 outlets

3 viewpoints surfaced

Clinical Oncologists 35%Pathologists & Lab Directors 35%MedTech Industry Analysts 30%
  1. [1]Targeted OncologyClinical Oncologists

    FDA Approves Expanded Automated PD-L1 Diagnostic Testing Across 4 Solid Tumor Types

    Read on Targeted Oncology
  2. [2]ReutersMedTech Industry Analysts

    FDA clears Agilent's automated cancer diagnostic for wider use

    Read on Reuters
  3. [3]Agilent TechnologiesMedTech Industry Analysts

    Agilent Receives FDA Approval for Expanded Use of PD-L1 IHC 22C3 pharmDx on Dako Omnis

    Read on Agilent Technologies

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