Evidence map›Paper›PMID 39804685›Full record

ArticleCancer immunology research2025

In Situ Detection of Individual Classic MHC-I Gene Products in Cancer.

Paula I Gonzalez-Ericsson, Susan R Opalenik, Violeta Sanchez, Amy M Palubinsky, Ann Hanna, Xiaopeng Sun, Andres A Ocampo, Guadalupe Garcia, Leonel Maldonado, Zaida Morante and 7 more

Abstract read
In one paragraph

Article in Cancer immunology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Paula I Gonzalez-EricssonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-6292-6963
Susan R OpalenikDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-9965-1986
Violeta SanchezDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-6639-9024
Amy M PalubinskyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-9285-6479
Ann HannaDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0003-2734-6426
Xiaopeng SunCancer Biology Program, Vanderbilt University, Nashville, Tennessee.ORCID 0009-0009-5219-8964
Andres A OcampoCancer Biology Program, Vanderbilt University, Nashville, Tennessee.ORCID 0009-0007-6155-4129
Guadalupe GarciaDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0009-0002-3073-7495
Leonel MaldonadoDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-2249-8511
Zaida MoranteInstituto Nacional de Enfermedades Neoplásicas, Lima, Peru.ORCID 0000-0003-2952-6068
Tatiana VidaurreInstituto Nacional de Enfermedades Neoplásicas, Lima, Peru.ORCID 0000-0003-1995-4560
Guillermo ValenciaInstituto Nacional de Enfermedades Neoplásicas, Lima, Peru.ORCID 0000-0002-4234-4448
Henry L GomezInstituto Nacional de Enfermedades Neoplásicas, Lima, Peru.ORCID 0000-0003-2660-1843
Melinda E SandersDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-7227-1764
Laura C KennedyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-8958-7909
Elizabeth J PhillipsDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-7623-3383
Justin M BalkoDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-4263-5974

Funding

TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
NCI NIH HHS P50 CA098131NIH/NCI SPORE 2P50CA098131-17Vanderbilt-Ingram Cancer Center P30 CA68485
6 · The paper itself

Abstract

Tumor-specific HLA class I expression is required for cytotoxic T-cell elimination of cancer cells expressing tumor-associated antigens or neoantigens. Cancers downregulate antigen presentation to avoid adaptive immunity. The highly polymorphic nature of the genes encoding these proteins, coupled with quaternary-structure changes after formalin fixation, complicates detection by IHC. In this study, we determined recognition of 16 specific HLA-A, -B, and -C alleles by 15 antibodies commercially available for IHC use, identifying and validating pan and specific HLA-A, -B, and -C antibodies, providing a validated method that can be applied to investigate HLA-A, -B, and -C molecule-specific loss in cancer. We applied this approach to a series of breast cancers as a proof of utility, identifying differential HLA-A, -B, and -C loss, with a higher incidence of HLA-A and -B loss in hormone-driven breast cancers, HLA-B loss in HER2+ cancers, and an equal loss of all three molecules in triple-negative disease. Additionally, we found that at the protein level, HLA-A and -B loss were early events prevalent in premalignant lesions, whereas HLA-C loss was less common throughout tumor evolution. Effective response to immunotherapies such as checkpoint inhibitors and MHC-I-targeted cancer vaccines, which hinge on the carriage of specific allele groups, requires MHC-I expression on tumor cells. These findings have implications for the success of checkpoint inhibitors and vaccine strategies.

Indexed as

Breast NeoplasmsGenes, MHC Class IHistocompatibility Antigens Class INeoplasmsAllelesAntigens, NeoplasmFemaleHumansImmunohistochemistryAntigens, NeoplasmHistocompatibility Antigens Class I

Identifiers

PMID39804685
PMCPMC13499419

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.