ReviewCancers2025
Antibody-Drug Conjugates Targeting CD30 in T-Cell Lymphomas: Clinical Progression and Mechanism.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- CD30 CAR-T cells in combination with anti-PD-1 camrelizumab in relapsed/refractory CD30Journal of translational medicine · 2026Trial
- Exploring the immunological effects of antibody-drug conjugates.Nature reviews. Clinical oncology · 2026Review
- B Cells and Tumor Immunometabolism: Emerging Insights into Immune Regulation and Therapeutic Resistance.Antibodies (Basel, Switzerland) · 2026Review
- Emerging therapeutic strategies for CD30-positive lymphomas.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Monoclonal Antibodies and Derivatives: Therapeutic Tools for Cancer.Oncology research · 2026Review
- Network of interactions between the tumor necrosis factor superfamily members and small S100 proteins.PloS one · 2026Article
- Article
- Antibody-drug conjugates in cancer therapy: current landscape, challenges, and future directions.Molecular cancer · 2025Review
- Targeted therapies and resistance mechanisms in lymphoma: Current landscape and emerging solutions.Oncoscience · 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
3 authors.
Funding
Abstract
CD30 is overexpressed in many T-cell lymphoma (TCL) entities, including subsets of peripheral T-cell lymphomas (PTCL) and cutaneous T-cell lymphomas (CTCL). The antibody-drug conjugate brentuximab vedotin (BV), targeting CD30-positive cells, has been approved for the treatment of relapsed or refractory (R/R) systemic anaplastic large cell lymphoma (sALCL), and primary cutaneous anaplastic large cell lymphoma or mycosis fungoides in patients who have received previous systemic therapy. However, many patients still experience disease progression after BV monotherapy. Extensive efforts have been dedicated to investigating effective combinations of BV. A phase III clinical study demonstrated that the combination of BV with cyclophosphamide, doxorubicin, and prednisone (CHP) is superior to cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) for CD30-positive PTCL. This study led to the approval of BV with CHP as the first-line therapy for CD30-positive PTCL (sALCL in Europe). We summarize the encouraging combination applications of BV in this review. Ongoing studies on combination therapies of BV are also listed, highlighting potential directions for the future application of BV. We focus on dissecting the underlying mechanisms of BV, discussing its effects on both tumor cells and the tumor microenvironment. Exploring resistance mechanisms in TCL provide valuable insights for optimizing BV-based therapies in the future.
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.