Evidence map›Paper›PMID 39755214›Full record

ArticleInternational journal of radiation oncology, biology, physics2025

Defining the Optimal Radiation-induced Lymphopenia Metric to Discern Its Survival Impact in Esophageal Cancer.

Pim J J Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Remi Nout, Radhe Mohan, Steven H Lin, Peter S N van Rossum

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2025. 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. Review
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  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

9 authors.

Pim J J DamenDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands; Department of Radiotherapy, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands. Electronic address: p.damen@erasmusmc.nl.
Max PetersDepartment of Radiotherapy, Radiotherapiegroep, Deventer, The Netherlands.
Brian HobbsDepartment of Population Health, Dell Medical School, The University of Texas at Austin, Austin, Texas.
Yiqing ChenDepartment of Biostatistics and Data Science, University of Texas Health Science Center, Houston, Texas.
Uwe TittDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Remi NoutDepartment of Radiotherapy, Erasmus Medical Center Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Radhe MohanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Steven H LinDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Peter S N van RossumDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Project 3: Enhanced Sensitivity of Tumors to Proton Beam Therapy: Mechanisms and Biomarkers.P01CA261669 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TITT, UWE · 2021 to 2025
$14.0M
NCI NIH HHS P01 CA261669NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

purposeA detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival. METHODS AND MATERIALS: Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004-2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts-and calculated derivatives-at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) were developed for each RIL metric. The optimal RIL metric was defined as the one in the model with the highest c-statistic.

resultsAmong 1339 included patients, 68% received photon-based and 32% proton-based CRT (median follow-up, 24.9 months). In multivariable analysis, the best-performing models included "ALC in week 3 of CRT" (corrected c-statistic 0.683 for PFS and 0.662 for OS). At an optimal threshold of <0.5 × 10

conclusionsReaching grade ≥3 RIL in week 3 of CRT for esophageal cancer is the strongest RIL metric to distinguish survival outcomes. We suggest that this metric should be the target for lymphopenia-mitigating strategies and propose this metric to be included in future trials.

Indexed as

ChemoradiotherapyEsophageal NeoplasmsLymphopeniaAdultAgedAged, 80 and overFemaleHumansLymphocyte CountMaleMiddle AgedNeutrophilsProgression-Free SurvivalProportional Hazards ModelsProton Therapy

Identifiers

PMID39755214
PMCPMC12278156

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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.