ReviewCancers2025
Current Landscape of Molecular Biomarkers in Gastroesophageal Tumors and Potential Strategies for Co-Expression Patterns.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Navigating Antibody-Drug Conjugate Sequencing in Gastric Cancer: Cross-Resistance Biology, Target Switching, and Decision-Making Frameworks for the Post-Progression Landscape.Current oncology reports · 2026Review
- Therapeutic management of resectable mismatch-repair deficient/microsatellite instability-high gastroesophageal adenocarcinoma: a real-world analysis from Austria.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Chinese consensus on first-line precision therapy for advanced gastric cancer.Innovation (Cambridge (Mass.)) · 2026Review
- Telisotuzumab Adizutecan (ABBV-400), a Novel c-Met-Targeting Antibody-Drug Conjugate: First-in-Human Results in Advanced Gastric/Gastroesophageal Junction Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- A New Paradigm of Bispecific Antibodies in Clinical Management of Gastrointestinal Cancers.Oncology research · 2026Review
- Therapeutic Frontiers in Gastroesophageal Cancer: Contemporary Concepts in Management and Therapy.International journal of molecular sciences · 2025Review
- CLDN18.2-Targeted Therapy in Gastrointestinal Cancers.Cancers · 2025Review
- Circulating Tumor DNA (ctDNA) in Gastroesophageal Adenocarcinoma (GEA): Evidence and Emerging Applications.Cancers · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The treatment of metastasized gastroesophageal adenocarcinoma largely depends on molecular profiling based on immunohistochemical procedures. Therefore, the examination of HER2, PD-L1, and dMMR/MSI is recommended by the majority of clinical practice guidelines, as positive expression leads to different treatment approaches. Data from large phase-III trials and consequent approvals in various countries enable physicians to offer their patients several therapy options including immunotherapy, targeted therapy, or both combined with chemotherapy. The introduction of novel therapeutic targets such as CLDN18.2 leads to a more complex decision-making process as a significant number of patients show positive results for the co-expression of other biomarkers besides CLDN18.2. The aim of this review is to summarize the current biomarker landscape of patients with metastatic gastroesophageal tumors, its direct clinical impact on daily decision-making, and to evaluate current findings on biomarker co-expression. Furthermore, possible treatment strategies with multiple biomarker expression are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.