We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Common Metablolic Enzyme Could Predict Response to Cancer Immunotherapy

By LabMedica International staff writers
Posted on 06 Apr 2026

Immune checkpoint inhibitors can generate durable tumor control, but only about 20% of patients benefit and clinicians still lack robust tools to predict response. More...

Tumors also exploit metabolic programs and immune-evasion pathways that blunt therapeutic efficacy. Identifying actionable biomarkers for programmed cell death protein 1 (PD-1) or programmed death-ligand 1 (PD‑L1) therapies remains a priority for oncology and pathology services. A new study shows that a common metabolic enzyme may help forecast response and guide combination strategies.

At Rutgers Cancer Institute of New Jersey, investigators identified the metabolic enzyme phosphoglycerate dehydrogenase (PHGDH) as a potential predictor of immunotherapy benefit, with findings published in Cell Reports Medicine on March 28, 2026. PHGDH, which supports serine biosynthesis, was shown to increase PD‑L1 expression, enabling tumor immune evasion. The work also indicates that PHGDH levels are frequently elevated in cancers such as colorectal and breast tumors.

Mechanistically, the team demonstrated that PHGDH’s effect on PD‑L1 is independent of its catalytic role in serine production. Genetically altered, catalytically inactive versions of PHGDH still drove PD‑L1 upregulation, underscoring a noncanonical function for this enzyme. Because PD‑L1 mediates immune escape, its linkage to PHGDH suggests a direct molecular bridge between cancer metabolism and checkpoint signaling.

Preclinical testing combined an experimental PHGDH inhibitor with an immune checkpoint agent. In mouse studies conducted over 60 days, approximately half of animals receiving the two‑drug regimen survived without observed side effects. In contrast, about 20% survived with either monotherapy, and none survived without treatment.

The researchers also analyzed clinical datasets from patients previously treated with PD‑1/PD‑L1 therapies and found significantly better responses in tumors with high PHGDH expression. If confirmed in a large prospective trial, measuring PHGDH could help oncologists and laboratory teams identify patients most likely to benefit from checkpoint inhibitors. The study was conducted at Rutgers Cancer Institute of New Jersey, together with RWJBarnabas Health.

“The effect was substantial compared with single drug treatment,” said Zhaohui Feng, senior author and professor at Rutgers Cancer Institute. "Those patients who have high PHGDH are more sensitive to anti-PD-1 therapy. This could be a potential biomarker to predict the efficacy of checkpoint inhibitor therapy."

Related Links
Rutgers Cancer Institute
RWJBarnabas Health


New
Gold Member
Clinical Chemistry Assay
Sorbitol Dehydrogenase (SDH)
New
Gold Member
Aspiration System
VACUSAFE
New
Urine Analyzer
respons® UDS100
New
Electrolyte Analyzer
BKE-B
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Study results show blood protein levels change markedly in childhood and adolescence, with sex differences increasing with age (photo credit: Adobe Stock)

Proteomic Data Underscore Need for Age-Specific Pediatric Reference Ranges

Serum proteins underpin many routine tests used to detect inflammation, hormonal imbalance, cardiovascular disease, and metabolic disorders. Yet pediatric interpretation often relies on adult reference... Read more

Pathology

view channel
Image: Study flowchart. This study developed a multimodal artificial intelligence framework to predict PIK3CA mutations in breast cancer (Jiaxian Miao et al., Cancer Biol Med 23(3): 430–450 (2026). DOI: 10.20892/j.issn.2095-3941.2025.0771)

Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment

PIK3CA mutations are key biomarkers for selecting phosphoinositide 3-kinase (PI3K)–targeted therapies in breast cancer, yet access to molecular testing can be inconsistent and costly. Conventional polymerase... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.