Evidence map›Paper›PMID 38280003›Full record

ArticleCancer immunology, immunotherapy : CII2024

CD74 is associated with inflamed tumor immune microenvironment and predicts responsiveness to PD-1/CTLA-4 bispecific antibody in patients with solid tumors.

Jianghua Wang, Xiaoting Li, Guanxi Xiao, Jayesh Desai, Sophia Frentzas, Zhongmin Maxwell Wang, Yu Xia, Baiyong Li

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03261011 (A Phase 1A/1B Multicenter, Open-label, Dose-escalation, and Dose-expansion Study to Evaluate the Safety, Pharmacokinetics, and Antitumor Activity of AK104 in Subjects With Advanced Solid Tumors), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.8field-weighted citation impact, top 4% 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.

NCT03261011 phase1completednot on this map

A Phase 1A/1B Multicenter, Open-label, Dose-escalation, and Dose-expansion Study to Evaluate the Safety, Pharmacokinetics, and Antitumor Activity of AK104 in Subjects With Advanced Solid Tumors

TypeinterventionalSponsorAkesobio Australia Pty LtdRan2017 to 2023Enrolled119ConditionsAdvanced CancerArmsAK-104
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. CD74Journal of gastrointestinal cancer · 2026
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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

8 authors at 3 institutions in 2 countries.

Jianghua Wang *Research and Development Department, Akeso Biopharma Inc, Zhongshan, Guangdong, China.
Xiaoting Li *Research and Development Department, Akeso Biopharma Inc, Zhongshan, Guangdong, China.
Guanxi Xiao *Research and Development Department, Akeso Biopharma Inc, Zhongshan, Guangdong, China.
Jayesh DesaiDepartment of Oncology, Sir Peter MacCallum, The University of Melbourne, Parkville, VIC, Australia.
Sophia FrentzasDepartment of Medical Oncology, Monash Health, Melbourne, VIC, Australia.
Zhongmin Maxwell WangProcurement and Sourcing Department and Clinical Operation Department, Akeso Biopharma Inc, Zhongshan, Guangdong, China.
Yu XiaPresident Office, Akeso Biopharma Inc, Zhongshan, Guangdong, China.
Baiyong LiResearch and Development Department, Akeso Biopharma Inc, Zhongshan, Guangdong, China. baiyong.li@akesobio.com.
Monash Health · AUPeter MacCallum Cancer Centre · AUZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCadonilimab (AK104) is a first-in-class tetravalent bispecific antibody that targets both PD-1 and CTLA-4, showing a manageable safety profile and favorable clinical benefits. This study aimed to identify the biomarkers of clinical response and explore the immune response within the tumor microenvironment upon the AK104 therapy in advanced solid tumors. MATERIAL AND

methodsGene expression profiles of paired pre- and post-treatment tumor tissues from twenty-one patients were analyzed. The association of gene expression levels with either clinical efficacy or prognosis was evaluated and subsequently validated with published datasets using log-rank for Kaplan-Meier estimates. Comparative immune profile analyses of tumor microenvironment before and after AK104 treatment were conducted. The visualization of tumor-infiltrating lymphocytes was performed using multiplex immunohistochemistry. The predictive value of CD74 was further validated with protein expression by immunohistochemistry.

resultsBaseline CD74 gene expression was associated with favorable patient outcomes (overall survival [OS], HR = 0.33, 95% CI 0.11-1.03, p = 0.0463), which was further confirmed with the published datasets. Tumors with high CD74 gene expression at baseline were more likely to exhibit an immune-inflamed microenvironment. AK104 efficiently enhanced the infiltration of immune cells in the tumor microenvironment. Additionally, high CD74 protein expression (≥ 10% of the tumor area occupied by CD74 stained immune cells) at baseline was associated with better progressive-free survival (HR = 0.21, 95% CI 0.06-0.68, p = 0.0065) and OS (HR = 0.35, 95% CI 0.12-1.08, p = 0.0615).

conclusionsOur findings demonstrate that CD74 is a promising predictive biomarker for AK104 therapeutic response in advanced solid tumors. Trial registration number NCT03261011.

Indexed as

NeoplasmsProgrammed Cell Death 1 ReceptorAntigens, Differentiation, B-LymphocyteBiomarkers, TumorCTLA-4 AntigenHistocompatibility Antigens Class IIHumansLymphocytes, Tumor-InfiltratingTumor MicroenvironmentAntigens, Differentiation, B-LymphocyteBiomarkers, TumorCTLA-4 AntigenHistocompatibility Antigens Class IIinvariant chainProgrammed Cell Death 1 ReceptorBiomarkerCD74Immune subtypesPD-1/CTLA-4 bispecific antibodyTumor microenvironment

Identifiers

PMID38280003
PMCPMC10822011
OpenAlexW4391278324

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.