Evidence map›Paper›PMID 39456558›Full record

ReviewCancers2024

Tertiary Lymphoid Structures in Microorganism-Related Cancer.

Shuzhe Deng, Xinxin Yang, Lin He, Yunjing Hou, Hongxue Meng

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

5 authors.

Shuzhe DengDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin 150086, China.ORCID 0000-0002-8687-976X
Xinxin YangPrecision Medical Center, Harbin Medical University Cancer Hospital, Harbin 150086, China.
Lin HeDepartment of Stomatology, Heilongjiang Provincial Hospital, Harbin 150000, China.
Yunjing HouPrecision Medical Center, Harbin Medical University Cancer Hospital, Harbin 150086, China.
Hongxue MengDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin 150086, China.ORCID 0000-0002-1831-2737

Funding

Heilongjiang Province Innovation Base Award Project JD2023SJ03Natural Science Foundation of Heilongjiang Province LH2022H065the Fundamental Scientific Research for the Provincial Universities in Heilongjiang Province 2023-KYYWF-0225the N10 Found project of Harbin Medical University Cancer Hospital Nn102024-05the National Nature Science Foundation of China 82072985Wu-Jieping Medical Foundation 320.6750.19089-22,320.6750.19089-48
6 · The paper itself

Abstract

Tertiary lymphoid structures (TLSs) are ectopic lymphoid tissues formed by the accumulation of lymphocytes and other components outside lymphoid organs. They have been shown to be widespread in cancers and have predictive effects on prognosis and immunotherapy efficacy; however, there is no standardized measurement guide. This paper provides a reference for future research. Moreover, the induction strategy for the formation mechanism of TLSs is a new direction for future cancer treatment, such as cancer vaccines for microorganisms. The effects of microorganisms on cancer are dual. The role of microorganisms, including bacteria, parasites, viruses, and fungi, in promoting cancer has been widely confirmed. However, the specific mechanism of their tumor suppressor effect, particularly the promotion of TLS formation, is currently unknown. In this review, we summarize the role of TLSs in cancer related to microbial infection and provide new ideas for further understanding their mechanisms of action in cancer.

Indexed as

cancermicroorganismtertiary lymphoid structures (TLSs)

Identifiers

PMID39456558
PMCPMC11505735

What OpenQuestion holds

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Registered trials

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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.