精品国产一区二区桃色

News

Researchers unmask
a pancreatic cancer culprit

Autophagic degradation of MHCI spurs the immune evasion of pancreatic cancer cells
Mohamed Eldeeb
By Mohamed Eldeeb
May 23, 2020

Over the past decade, oncologists have made great strides in using immunotherapy to treat solid cancerous tumors that were unresponsive to other therapeutic approaches. One approach has been the development of checkpoint blockade therapy, which uses neutralizing antibodies to target two immune-response inhibitory proteins, CTLA-4 and PD-1, that are localized on the outer surface of cytotoxic T immune cells. However, pancreatic cancer has not responded to this immune-based treatment.

While the complexity and diversity of the tumor microenvironment — which contains myeloid cells, tumor-associated macrophages and regulatory B cells — might contribute to the repression of cytotoxic T cells and cause immunotherapy to fail, another factor in immune evasion might be biochemical or molecular changes in pancreatic cancer cells.

A significant immune response is induced when T cells engage with antigens presented on the outer surface of a cancer cell that are bound to a major histocompatibility complex class I, or MHC class I, molecule.

A number of have proposed that the lack, or failure, of MHC molecules to present tumor antigens may be to blame for immune evasion of cancer cells. These MHC molecules include a beta 2-microglobulin protein encoded by the B2M gene and a protein encoded by human leukocyte antigen, or HLA, genes. These molecules help different antigens become engaged with different MHCs by exhibiting variation in the MHC motifs that bind to antigens.

Pancreatic-cancer-cells-890x539.jpg
ANNE WESTON/FRANCIS CRICK INSTITUTE
This image shows pancreatic cancer cells grown in culture. Pancreatic cancer has a combined one-year relative survival rate of 20% and a combined five-year survival rate of 7%, according to the American Cancer Society.

Although the failure to present cancer antigens — and the resultant immune evasion of pancreatic cancer cells — can occur at the transcriptional level through alterations in the genes that encode proteins required for antigen presentation, such as B2M and HLA, these genetic variations are rare in pancreatic cancer, accounting for less than 1% of total cases reported. Nevertheless, attenuated abundance or complete depletion of MHC class I molecules occurs in the majority of pancreatic cancer cells, and this reduction in MHC levels may be exacerbated in metastatic tumors.

The mechanisms underlying the regulation of MHC class I molecules in pancreatic cancer have remained elusive. Recent work in the journal Natureshowed that autophagy, the cellular degradation machinery found across eukaryotes, is the mechanism pancreatic cancer cells use to break down MHC class I molecules, halting antigen presentation at the cell surface.

In their paper, researchers at New York University’s Perlmutter Cancer Center demonstrated that an autophagy-associated receptor, NBR1, mediates the engagement and subsequent targeting of MHC class I molecules by the autophagic degradation pathway. They also found that mitigating autophagy in mouse models of pancreatic cancer restored the expression of MHC class I molecules, which facilitated antigen presentation on cellular surfaces and enhanced recruitment of cytotoxic T cells to the tumor.

These insights might have direct s in pancreatic cancer, such as co-administration of the immunosuppressants chloroquine or hydroxychloroquine with the neutralizing antibodies.

RELATED ARTICLES

The odyssey of autophagy
In 2016, the Nobel Prize in physiology or medicine was awarded to Yoshinori Ohsumi for uncovering the mechanisms behind autophagy.

A legacy of tyrosine
Tony Hunter, a biochemist and former director of the Salk Institute Cancer Center, has begun to focus his research on pancreatic cancer and histidine kinases.

Enjoy reading ASBMB Today?

Become a member to receive the print edition four times a year and the digital edition monthly.

Learn more
Mohamed Eldeeb
Mohamed Eldeeb

Mohamed Eldeeb is a CIHR Banting fellow at McGill University鈥檚 Montreal Neurological Institute.

Get the latest from ASBMB Today

Enter your email address, and we鈥檒l send you a weekly email with recent articles, interviews and more.

Latest in Science

Science highlights or most popular articles

RA patient blood reveals joint innerworkings
Journal News

RA patient blood reveals joint innerworkings

July 25, 2025

Researchers in the Netherlands use mass spectrometry to compare the proteome of plasma and synovial fluid in rheumatoid arthritis patients and find a correlation. Read more about this recent paper in Molecular & Cellular Proteomics.

Hope for a cure hangs on research
Essay

Hope for a cure hangs on research

July 17, 2025

Amid drastic proposed cuts to biomedical research, rare disease families like Hailey Adkisson鈥檚 fight for survival and hope. Without funding, science can鈥檛 鈥渃atch up鈥 to help the patients who need it most.

Before we鈥檝e lost what we can鈥檛 rebuild: Hope for prion disease
Feature

Before we鈥檝e lost what we can鈥檛 rebuild: Hope for prion disease

July 15, 2025

Sonia Vallabh and Eric Minikel, a husband-and-wife team racing to cure prion disease, helped develop ION717, an antisense oligonucleotide treatment now in clinical trials. Their mission is personal 鈥 and just getting started.

Defeating deletions and duplications
News

Defeating deletions and duplications

July 11, 2025

Promising therapeutics for chromosome 15 rare neurodevelopmental disorders, including Angelman syndrome, Dup15q syndrome and Prader鈥揥illi syndrome.

Using 'nature鈥檚 mistakes' as a window into Lafora disease
Feature

Using 'nature鈥檚 mistakes' as a window into Lafora disease

July 10, 2025

After years of heartbreak, Lafora disease families are fueling glycogen storage research breakthroughs, helping develop therapies that may treat not only Lafora but other related neurological disorders.

Cracking cancer鈥檚 code through functional connections
News

Cracking cancer鈥檚 code through functional connections

July 2, 2025

A machine learning鈥揹erived protein cofunction network is transforming how scientists understand and uncover relationships between proteins in cancer.