Evidence map›Paper›PMID 33569421›Full record

ArticleAnnals of translational medicine2021

Immune profiling and immunotherapeutic targets in pancreatic cancer.

Felicia L Lenzo, Shumei Kato, Sarabjot Pabla, Paul DePietro, Mary K Nesline, Jeffrey M Conroy, Blake Burgher, Sean T Glenn, Boris Kuvshinoff, Razelle Kurzrock and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Human Pancreatic Cancer Single-Cell Atlas Reveals Association of CXCL10+ Fibroblasts and Basal Subtype Tumor Cells.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  3. Article
  4. Antibody drug conjugates: hitting the mark in pancreatic cancer?Journal of experimental & clinical cancer research : CR · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Article
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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

11 authors at 3 institutions in 1 country.

Felicia L LenzoOmniSeq, Inc., Buffalo, NY, USA.
Shumei KatoCenter for Personalized Cancer Therapy, Moores Cancer Center, La Jolla, CA, USA.
Sarabjot PablaOmniSeq, Inc., Buffalo, NY, USA.
Paul DePietroOmniSeq, Inc., Buffalo, NY, USA.
Mary K NeslineOmniSeq, Inc., Buffalo, NY, USA.
Jeffrey M ConroyOmniSeq, Inc., Buffalo, NY, USA.
Blake BurgherOmniSeq, Inc., Buffalo, NY, USA.
Sean T GlennOmniSeq, Inc., Buffalo, NY, USA.
Boris KuvshinoffDepartment of Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Razelle KurzrockCenter for Personalized Cancer Therapy, Moores Cancer Center, La Jolla, CA, USA.
Carl MorrisonOmniSeq, Inc., Buffalo, NY, USA.
Roswell Park Comprehensive Cancer Center · USMoores Cancer CenterCancer Genetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapeutic approaches for pancreatic ductal adenocarcinoma (PDAC) are less successful as compared to many other tumor types. In this study, comprehensive immune profiling was performed in order to identify novel, potentially actionable targets for immunotherapy.

methodsFormalin-fixed paraffin embedded (FFPE) specimens from 68 patients were evaluated for expression of 395 immune-related markers (RNA-seq), mutational burden by complete exon sequencing of 409 genes, PD-L1 expression by immunohistochemistry (IHC), pattern of tumor infiltrating lymphocytes (TILs) infiltration by CD8 IHC, and PD-L1/L2 copy number by fluorescent in situ hybridization (FISH).

resultsThe seven classes of actionable genes capturing myeloid immunosuppression, metabolic immunosuppression, alternative checkpoint blockade, CTLA-4 immune checkpoint, immune infiltrate, and programmed cell death 1 (PD-1) axis immune checkpoint, discerned 5 unique clinically relevant immunosuppression expression profiles (from most to least common): (I) combined myeloid and metabolic immunosuppression [affecting 25 of 68 patients (36.8%)], (II) multiple immunosuppressive mechanisms (29.4%), (III) PD-L1 positive (20.6%), (IV) highly inflamed PD-L1 negative (10.3%); and (V) immune desert (2.9%). The Wilcoxon rank-sum test was used to compare the PDAC cohort with a comparison cohort (n=1,416 patients) for the mean expressions of the 409 genes evaluated. Multiple genes including TIM3, VISTA, CCL2, CCR2, TGFB1, CD73, and CD39 had significantly higher mean expression versus the comparison cohort, while three genes (LAG3, GITR, CD38) had significantly lower mean expression.

conclusionsThis study demonstrates that a clinically relevant unique profile of immune markers can be identified in PDAC and be used as a roadmap for personalized immunotherapeutic decision-making strategies.

Indexed as

checkpoint inhibitorsimmune activationimmune suppressionPD-L1Precision immunotherapy

Identifiers

PMID33569421
PMCPMC7867882
OpenAlexW3114100356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.