Evidence map›Paper›PMID 39803651›Full record

ReviewAmerican journal of cancer research2024

Unraveling the complexity of follicular lymphoma: insights and innovations.

Xijing Li, Nannan Li, Yinghui Liu, Licai An

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Xijing LiDepartment of Pathology, Yantaishan Hospital Yantai 264003, Shandong, China.
Nannan LiDepartment of Hematology, Yantai Yuhuangding Hospital Yantai 264001, Shandong, China.
Yinghui LiuDepartment of Hematology, Yantai Yuhuangding Hospital Yantai 264001, Shandong, China.
Licai AnDepartment of Hematology, Yantai Yuhuangding Hospital Yantai 264001, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review discusses multiple aspects of follicular lymphoma (FL), including etiology, treatment challenges, and future perspectives. First, we delve into the etiology of FL, which involves a variety of pathogenic mechanisms such as gene mutations, chromosomal abnormalities, immune escape, immune system dysregulation, familial inheritance, and environmental factors. These mechanisms provide the context for understanding the diversity and complexity of FL. Second, we discuss the challenges faced when treating FL, particularly treatment resistance. Therapeutic resistance is a common problem in treatment, but by delving into the mechanisms of resistance, scientists have looked for strategies to combat it, including developing new drugs, improving treatments, and exploring combination therapy strategies. We also emphasize the breakthroughs in molecular biology, especially the study of targeting the BCL2 gene, which provides a new direction for targeted therapy in FL. Immunotherapy, small molecule targeted drugs, and individualized treatment strategies are also promising for the future treatment of FL. Finally, we look to the future, including research on therapeutic resistance, in-depth studies of genetics and gene expression, applications of gene editing and precision medicine, and clinical trials of new treatments. These lines of research offer additional opportunities for treating FL, and despite the challenges, the future is promising. This literature review provides comprehensive and integrated information for the in-depth understanding of FL and relevant treatment approaches.

Indexed as

Follicular lymphomaHodgkin lymphomalymphatic system

Identifiers

PMID39803651
PMCPMC11711519

What OpenQuestion holds

Textmetadata
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.