Evidence map›Paper›PMID 38572548›Full record

ArticleHaematologica2024

Prognostic relevance of tumor-infiltrating CD4

Daisuke Ikeda, Mitsuaki Oura, Atsushi Uehara, Rikako Tabata, Kentaro Narita, Masami Takeuchi, Youichi Machida, Kosei Matsue

Abstract read
In one paragraph

Article in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Daisuke IkedaDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba. dskikd.2409@gmail.com.
Mitsuaki OuraDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba.
Atsushi UeharaDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba.
Rikako TabataDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba.
Kentaro NaritaDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba.
Masami TakeuchiDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba.
Youichi MachidaDepartment of Radiology, Kameda Medical Center, Chiba.
Kosei MatsueDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to elucidate the relationship between pretreatment radiomic parameters and the proportions of various tumor-infiltrating (TI) cells, we retrospectively analyzed the association of total metabolic tumor volume (TMTV) and TI cells on biopsied tumor lesions in 171 patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). The surface markers of TI cells were analyzed by multicolor flow cytometry using a dissected single-cell suspension. In examining the correlation between TI cells and positron-emission tomography-derived parameters (maximum standardized uptake value [SUVmax], total metabolic tumor volume [TMTV], and total lesion glycolysis), intratumoral cell types minimally influenced the results, except for a weak negative correlation between CD4+ cells and SUVmax (R=-0.16, P=0.045). Even for the lesion fluorodeoxyglucose uptake at the biopsied site, CD19+ cells (indicative of malignant burden) showed only a weak correlation with the highest SUV (R=0.21, P=0.009), whereas CD3+ (R=-0.25, P=0.002) and CD4+ cells (R=-0.29, P<0.001) demonstrated a similarly weak inverse correlation. High TMTV and low TI CD4+ cells were independently associated with poor prognosis and their combination identified the most adverse population (3-year progression-free survival: 32.3%, 95% confidence interval [CI]: 19.4-53.7; 3-year overall survival: 48.4%, 95% CI: 33.6-69.6). Moreover, radiomic parameters incorporating the international prognostic index significantly improved the 3-year survival prediction (area under the curve: 0.76, P<0.05) compared to their standalone use. This study underscores the prognostic impact of TI CD4+ cells on DLBCL and suggests that integration of TMTV and TI cell analysis enhances the accuracy of prognostic prediction.

Indexed as

CD4-Positive T-LymphocytesLymphocytes, Tumor-InfiltratingLymphoma, Large B-Cell, DiffuseTumor BurdenAdultAgedAged, 80 and overFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographyPrognosisRetrospective StudiesRisk AssessmentFluorodeoxyglucose F18

Identifiers

PMID38572548
PMCPMC11367203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.