Evidence map›Paper›PMID 41740058›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.

Asmita Pandey, Sudhir Kumar Rai, Li Ma, Lauren Higa, Vedbar Khadka, Hua Yang, Youping Deng

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Asmita PandeyDepartment of Tropical Medicine, Medical Microbiology, and Pharmacology, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0002-5243-1879
Sudhir Kumar RaiDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Li MaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Lauren HigaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Vedbar KhadkaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Hua YangDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Youping DengDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0002-5951-8213

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Benjamin C. Fogelgren · 2017 to 2026
$59.5M
Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SHIKUMA, CECILIA M. · 2021 to 2025
$15.5M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Alexandra Margaret Lynn Binder, Youping Deng · 2023 to 2026
$10.8M
Profiling genome-wide circulating ncRNAs for the early detection of lung cancerR01CA223490 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI DENG, YOUPING · 2018 to 2022
$3.1M
The Hawaii Advanced Training in Artificial Intelligence for Precision Nutrition Science Research (AIPrN)T32DK137523 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng, RACHEL NOVOTNY · 2023 to 2026
$1.7M
Pacific Computational Genomics and Data Sciences Research Education ProgramUE5HG013826 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI DENG, YOUPING, ZHANG, YIQIANG · 2024 to 2024
$486k
NIH HHS 1OT2OD032581-02NIH HHS 1OT2OD032581-02-316NIH HHS 1OT2OD032581-02-997NIH HHS 1OT2OD032581-02-PP90NIH HHS 3OT2OD032581-01S5-895NIH HHS P20GM103466NIH HHS R01CA223490NIH HHS RO1CA230514NIH HHS T32DK137523NIH HHS U54GM138062NIH HHS U54HG013243NIH HHS UE5HG013826NIMHD NIH HHS U54MD007601
6 · The paper itself

Abstract

Advances in immunotherapy, particularly with immune checkpoint inhibitors, have improved clinical outcomes in various cancer subtypes; however, resistance often occurs because these treatments rely on single agents and show limited translational success when combined. Therefore, it is necessary to develop immune checkpoint inhibitor-based combination strategies by integrating next-generation immunotherapies and innovative biomarkers. This review highlights the emerging combinatorial approaches that can be tailored to the distinct tumor microenvironment types to overcome resistance to immune checkpoint inhibitors. It further emphasizes the rationale for integrating advanced biomarkers to predict response and personalize immunotherapy, highlighting the importance of combining next-generation immunotherapies with immune checkpoint inhibitors and including them in current clinical trial designs. Building on this foundation, we integrate key lessons from failed clinical trials and the spectrum of toxicities associated with combination immunotherapy. Finally, we outline approaches for early biomarker discovery and clinical translation, including the incorporation of validated artificial intelligence-driven biomarker platforms into adaptive, biomarker-guided trial designs.

Indexed as

Drug Resistance, NeoplasmImmune Checkpoint InhibitorsImmunotherapyNeoplasmsBiomarkers, TumorHumansTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint Inhibitorsartificial intelligencebiomarkerscombination immunotherapyimmune checkpoint inhibitorsnext generation immunotherapy

Identifiers

PMID41740058
PMCPMC13292182

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.