Evidence map›Paper›PMID 35797413›Full record

ArticlePloS one2022

Splenic volume as a predictor of treatment response in patients with non-small cell lung cancer receiving immunotherapy.

Francesca Castagnoli, Simon Doran, Jason Lunn, Anna Minchom, Mary O'Brien, Sanjay Popat, Christina Messiou, Dow-Mu Koh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Dynamics changes of spleen volume predict survival outcomes in unresectable hepatocellular carcinoma treated with tislelizumab plus lenvatinib.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  2. Leveraging [Clinical and translational science · 2026
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  9. Function ofEJNMMI reports · 2025
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  13. Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  14. Article
  15. 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 at 3 institutions in 1 country.

Francesca CastagnoliDepartment of Radiology, Royal Marsden Hospital, Sutton, United Kingdom.ORCID 0000-0003-2407-7451
Simon DoranDivision of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom.
Jason LunnDivision of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom.ORCID 0000-0001-9214-6645
Anna MinchomDrug Development Unit, Royal Marsden/Institute of Cancer Research, Sutton, United Kingdom.
Mary O'BrienLung Unit, Royal Marsden Hospital/Institute of Cancer Research, Sutton, United Kingdom.
Sanjay PopatLung Unit, Royal Marsden Hospital/Institute of Cancer Research, London, United Kingdom.
Christina MessiouDepartment of Radiology, Royal Marsden Hospital, Sutton, United Kingdom.
Dow-Mu KohDepartment of Radiology, Royal Marsden Hospital, Sutton, United Kingdom.
Institute of Cancer Research · GBRoyal Marsden Hospital · GBRoyal Marsden NHS Foundation Trust · GB

Funding

Department of Health
6 · The paper itself

Abstract

introductionThe spleen is a lymphoid organ and we hypothesize that clinical benefit to immunotherapy may present with an increase in splenic volume during treatment. The purpose of this study was to investigate whether changes in splenic volume could be observed in those showing clinical benefit versus those not showing clinical benefit to pembrolizumab treatment in non-small cell lung cancer (NSCLC) patients. MATERIALS AND

methodsIn this study, 70 patients with locally advanced or metastatic NSCLC treated with pembrolizumab; and who underwent baseline CT scan within 2 weeks before treatment and follow-up CT within 3 months after commencing immunotherapy were retrospectively evaluated. The splenic volume on each CT was segmented manually by outlining the splenic contour on every image and the total volume summated. We compared the splenic volume in those achieving a clinical benefit and those not achieving clinical benefit, using non-parametric Wilcoxon signed-rank test. Clinical benefit was defined as stable disease or partial response lasting for greater than 24 weeks. A p-value of <0.05 was considered statistically significant.

resultsThere were 23 responders and 47 non-responders based on iRECIST criteria and 35 patients with clinical benefit and 35 without clinical benefit. There was no significant difference in the median pre-treatment volume (175 vs 187 cm3, p = 0.34), post-treatment volume (168 vs 167 cm3, p = 0.39) or change in splenic volume (-0.002 vs 0.0002 cm3, p = 0.97) between the two groups. No significant differences were also found between the splenic volume of patients with partial response, stable disease or progressive disease (p>0.017). Moreover, there was no statistically significant difference between progression-free survival and time to disease progression when the splenic volume was categorized as smaller or larger than the median pre-treatment or post-treatment volume (p>0.05).

conclusionNo significant differences were observed in the splenic volume of those showing clinical benefit versus those without clinical benefit to pembrolizumab treatment in NSCLC patients. CT splenic volume cannot be used as a potentially simple biomarker of response to immunotherapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansImmunotherapyRetrospective StudiesSpleen

Identifiers

PMID35797413
PMCPMC9262211
OpenAlexW4284694766

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.