Evidence map›Paper›PMID 37958391›Full record

ReviewCancers2023

Prognostic Markers within the Tumour Microenvironment in Classical Hodgkin Lymphoma.

Arina Martynchyk, Rakin Chowdhury, Eliza A Hawkes, Colm Keane

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Macrophages and angiogenesis in human lymphomas.Clinical and experimental medicine · 2024
    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

4 authors.

Arina MartynchykOlivia Newton-John Cancer Research & Wellness Centre, Austin Health, 145 Studley Rd., Heidelberg, VIC 3084, Australia.
Rakin ChowdhuryPrincess Alexandra Hospital, 199 Ipswich Rd., Woolloongabba, QLD 4102, Australia.
Eliza A HawkesOlivia Newton-John Cancer Research & Wellness Centre, Austin Health, 145 Studley Rd., Heidelberg, VIC 3084, Australia.
Colm KeanePrincess Alexandra Hospital, 199 Ipswich Rd., Woolloongabba, QLD 4102, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classical Hodgkin lymphoma (cHL) accounts for 0.4% of all new cancer cases globally. Despite high cure rates with standard treatment, approximately 15% of patients still experience relapsed or refractory (RR) disease, and many of these eventually die from lymphoma-related causes. Exciting new targeted agents such as anti-PD-1 agents and brentuximab vedotin have changed the therapeutic paradigm beyond chemotherapy and radiotherapy alone. Advances in understanding of the molecular biology are providing insights in the context of novel therapies. The signature histology of cHL requires the presence of scant malignant Hodgkin Reed-Sternberg cells (HRSCs) surrounded by a complex immune-rich tumour microenvironment (TME). The TME cellular composition strongly influences outcomes, yet knowledge of the precise characteristics of TME cells and their interactions with HRSCs is evolving. Novel high-throughput technologies and single-cell sequencing allow deeper analyses of the TME and mechanisms elicited by HRSCs to propagate growth and avoid immune response. In this review, we explore the evolution of knowledge on the prognostic role of immune cells within the TME and provide an up-to-date overview of emerging prognostic data on cHL from new technologies that are starting to unwind the complexity of the cHL TME and provide translational insights into how to improve therapy in the clinic.

Indexed as

Classical Hodgkin lymphomaimmune checkpoint inhibitorsPD-L1prognostic markersT-cellstumour-associated macrophagestumour microenvironment

Identifiers

PMID37958391
PMCPMC10649036

What OpenQuestion holds

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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.