Evidence map›Paper›PMID 38290413›Full record

ArticleGynecologic oncology2024

CD137+ tumor infiltrating lymphocytes predicts ovarian cancer survival.

Elizabeth A Tubridy, Monika A Eiva, Fang Liu, Dalia K Omran, Stefan Gysler, Erica G Brown, Allison G Roy, Yuyan Zeng, Jinhee Oh, Quy Cao and 2 more

Abstract read
In one paragraph

Article in Gynecologic oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Biological characteristics of spontaneous ovarian cancer inZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  9. Review
  10. 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

12 authors.

Elizabeth A TubridyDivision of Gynecologic Oncology, Department of Obstetrics & Gynecology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Monika A EivaDepartment of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Ovarian Cancer Research Center, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Fang LiuDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Dalia K OmranOvarian Cancer Research Center, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Stefan GyslerDivision of Gynecologic Oncology, Department of Obstetrics & Gynecology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Erica G BrownDepartment of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Ovarian Cancer Research Center, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Allison G RoyDivision of Gynecologic Oncology, Department of Obstetrics & Gynecology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Yuyan ZengDepartment of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Jinhee OhDepartment of Obstetrics and Gynecology, Pennsylvania Hospital, 800 Spruce Street, Philadelphia, PA 19107, USA.
Quy CaoDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Sarah B GittoDepartment of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel J PowellDivision of Gynecologic Oncology, Department of Obstetrics & Gynecology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Ovarian Cancer Research Center, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: poda@pennmedicine.upenn.edu.

Funding

Phase I clinical trial of adoptive transfer of autologous folate receptor-alpha redirected CAR T cells for ovarian cancerR01CA260902 · NCI · UNIVERSITY OF PENNSYLVANIA · PI POWELL, DANIEL J. · 2022 to 2025
$3.3M
NCI NIH HHS R01 CA260902
6 · The paper itself

Abstract

objectiveOvarian cancer (OC) is the leading cause of death from gynecologic malignancy in the United States, and biomarkers of patient outcomes are limited. Data using immunohistochemical (IHC) analysis are mixed regarding whether and which tumor infiltrating lymphocytes (TILs) impact survival, and IHC does not adequately quantify rare cell populations, including CD137+ (4-1BB) tumor-reactive TILs. Our study investigates if a higher percentage of CD3+ CD137+ TILs is associated with improved overall survival (OS) in OC.

methodsFlow cytometry was performed on viably banked OC digests. Chart review and statistical analysis were performed. Forty-seven patients were included, 40 of whom were diagnosed with high-grade serous ovarian carcinoma (HGSOC), papillary serous carcinoma, or undifferentiated histology.

resultsA high percentage of CD3+ CD137+ TILs correlated with improved OS (n = 40, r = 0.48, P = 0.0016). Subjects were divided into CD3+ CD137+ TIL high and low groups by the median. Subjects with high CD3+CD137+ TIL frequencies (>9.6%) had longer OS (Wilcoxon rank-sum test; P = 0.0032) and improved OS (logrank test; P = 0.007). Differences in CD3+ or CD3+ CD8+ TILs did not impact survival. CD3+ CD137+ TILs were predictive of OS regardless of germline mutation or debulking status. Analysis of subgroups including late stage HGSOC and late stage HGSOC with primary optimal cytoreduction indicated CD3+ CD137+ TILs correlated with improved OS after adjusting for age and PARP inhibitor use (P = 0.034 and P = 0.016, respectively).

conclusionsPrevalence of CD3+ CD137+ TILs in digested OC specimens is associated with improved OS, while general TIL markers are not. CD137 has the potential to be a novel biomarker for survival in OC.

Indexed as

Lymphocytes, Tumor-InfiltratingOvarian NeoplasmsTumor Necrosis Factor Receptor Superfamily, Member 9AdultAgedAged, 80 and overCD3 ComplexCystadenocarcinoma, SerousFemaleHumansMiddle AgedCD3 ComplexTNFRSF9 protein, humanTumor Necrosis Factor Receptor Superfamily, Member 9CD137Ovarian cancerTILsTumor infiltrating lymphocytes

Identifiers

PMID38290413
PMCPMC11179985

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.