Evidence map›Paper›PMID 37693389›Full record

ArticlebioRxiv : the preprint server for biology2023

L-DOS47 enhances response to immunotherapy in pancreatic cancer tumor.

Bruna Victorasso Jardim-Perassi, Pietro Irrera, Dominique Abrahams, Veronica C Estrella, Bryce Ordway, Samantha R Byrne, Andrew A Ojeda, Christopher J Whelan, Jongphil Kim, Matthew S Beatty and 9 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 3 countries.

Bruna Victorasso Jardim-Perassi
Pietro Irrera
Dominique Abrahams
Veronica C Estrella
Bryce Ordway
Samantha R Byrne
Andrew A Ojeda
Christopher J Whelan
Jongphil Kim
Matthew S Beatty
Sultan Damgaci-Erturk
Dario Livio Longo
Kim J Gaspar
Gabrielle M Siegers
Barbara A Centeno
Justin Y C Lau
Arig Ibrahim-HashimORCID 0000-0002-8888-7747
Shari A Pilon-Thomas
Robert J Gillies
Moffitt Cancer Center · USHelix Biopharma (Canada) · CAHarvard University · USInstitute of Biostructure and Bioimaging · ITUnited States Military Academy · USUniversity of South Florida · US

Funding

Imaging Acidosis and Immune Therapy in PDACR01CA239219 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI IBRAHIM HASHIM, ARIG A, PILON-THOMAS, SHARI · 2020 to 2024
$3.4M
Predict radiation-induced shifts in patient-specific tumor immune ecosystem composition to harness immunological consequences of radiotherapyU01CA244100 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ENDERLING, HEIKO, PILON-THOMAS, SHARI · 2020 to 2025
$2.6M
NCI NIH HHS R01 CA239219NCI NIH HHS U01 CA244100
6 · The paper itself

Abstract

Acidosis is an important immunosuppressive mechanism that leads to tumor growth. Therefore, we investigated the neutralization of tumor acidity to improve immunotherapy response. L-DOS47, a new targeted urease immunoconjugate designed to neutralize tumor acidity, has been well tolerated in phase I/IIa trials. L-DOS47 binds CEACAM6, a cell surface protein highly expressed in gastrointestinal cancers, allowing urease to cleave endogenous urea into two NH4+ and one CO2, thereby raising local pH. To test the synergetic effect of neutralizing tumor acidity with immunotherapy, we developed a pancreatic orthotopic murine tumor model (KPC961) expressing human CEACAM6. Our results demonstrate that combining L DOS47 with anti-PD1 significantly increases the efficacy of anti-PD1 monotherapy, reducing tumor growth for up to 4 weeks.

Identifiers

PMID37693389
PMCPMC10491210
OpenAlexW4386253777

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.