Evidence map›Paper›PMID 35154905›Full record

ArticleOncoimmunology2022

Functional and molecular characterization of PD1

Jesse J Lipp, Limei Wang, Haitang Yang, Feng Yao, Nathalie Harrer, Stefan Müller, Sabina Berezowska, Patrick Dorn, Thomas M Marti, Ralph A Schmid and 7 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Translational cancer research · 2023
    Article
  8. Review
  9. Article
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 at 6 institutions in 3 countries.

Jesse J LippBoehringer Ingelheim, Rcv GmbH & Co Kg, Vienna, Austria.
Limei WangDivision of General Thoracic Surgery, Bern University Hospital, Bern, Switzerland.
Haitang YangDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Feng YaoDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Nathalie HarrerBoehringer Ingelheim, Rcv GmbH & Co Kg, Vienna, Austria.
Stefan MüllerDepartment of BioMedical Research, University of Bern, Bern, Switzerland.
Sabina BerezowskaInstitute of Pathology, University of Bern, Bern, Switzerland.
Patrick DornDivision of General Thoracic Surgery, Bern University Hospital, Bern, Switzerland.
Thomas M MartiDivision of General Thoracic Surgery, Bern University Hospital, Bern, Switzerland.
Ralph A SchmidDivision of General Thoracic Surgery, Bern University Hospital, Bern, Switzerland.
Belazs HegedüsDepartment of Thoracic Surgery, University Medicine Essen, University Duisburg-Essen, Essen, Germany.
Abdallah SouabniBoehringer Ingelheim, Rcv GmbH & Co Kg, Vienna, Austria.
Sebastian CarottaBoehringer Ingelheim, Rcv GmbH & Co Kg, Vienna, Austria.
Mark A PearsonBoehringer Ingelheim, Rcv GmbH & Co Kg, Vienna, Austria.
Wolfgang SommergruberBoehringer Ingelheim, Rcv GmbH & Co Kg, Vienna, Austria.
Greg J KocherDivision of General Thoracic Surgery, Bern University Hospital, Bern, Switzerland.
Sean R R HallDivision of General Thoracic Surgery, Bern University Hospital, Bern, Switzerland.
Boehringer Ingelheim (Germany) · DEUniversity of Bern · CHUniversity Hospital of Bern · CHShanghai Chest Hospital · CNShanghai Jiao Tong University · CNUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-mediated cancer immunotherapy targets inhibitory surface molecules, such as PD1, PD-L1, and CTLA-4, aiming to re-invigorate dysfunctional T cells. We purified and characterized tumor-infiltrating lymphocytes (TILs) and their patient-matched non-tumor counterparts from treatment-naïve NSCLC patient biopsies to evaluate the effect of PD1 expression on the functional and molecular profiles of tumor-resident T cells. We show that PD1+ CD8+ TILs have elevated expression of the transcriptional regulator ID3 and that the cytotoxic potential of CD8 T cells can be improved by knocking down ID3, defining it as a potential regulator of T cell effector function. PD1+ CD4+ memory TILs display transcriptional patterns consistent with both helper and regulator function, but can robustly facilitate B cell activation and expansion. Furthermore, we show that expanding ex vivo-prepared TILs in vitro broadly preserves their functionality with respect to tumor cell killing, B cell help, and TCR repertoire. Although purified PD1+ CD8+ TILs generally maintain an exhausted phenotype upon expansion in vitro, transcriptional analysis reveals a downregulation of markers of T-cell dysfunction, including the co-inhibitory molecules PD1 and CTLA-4 and transcription factors ID3, TOX and TOX2, while genes involved in cell cycle and DNA repair are upregulated. We find reduced expression of WNT signaling components to be a hallmark of PD1+ CD8+ exhausted T cells in vivo and in vitro and demonstrate that restoring WNT signaling, by pharmacological blockade of GSK3β, can improve effector function. These data unveil novel targets for tumor immunotherapy and have promising implications for the development of a personalized TIL-based cell therapy for lung cancer.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCTLA-4 AntigenHumansLymphocytes, Tumor-InfiltratingProgrammed Cell Death 1 ReceptorCTLA-4 AntigenProgrammed Cell Death 1 ReceptorGSK3βID3memoryPD1TILs

Identifiers

PMID35154905
PMCPMC8837234
OpenAlexW4226238022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.