Evidence map›Paper›PMID 40698924›Full record

ArticleOncotarget2025

Extracorporeal blood filtration leading to tumor growth arrest and reduced analgesic requirements in Stage IV poorly differentiated pancreatic adenocarcinoma: A case report.

Susanna Ulahannan, Peyton Smith, Jennifer Rios, Lakhmir Chawla

Abstract readCase Reports
In one paragraph

Article in Oncotarget, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Susanna UlahannanStephenson Cancer Center, University of Oklahoma Health Sciences Center, OK 73104, USA.
Peyton SmithStephenson Cancer Center, University of Oklahoma Health Sciences Center, OK 73104, USA.
Jennifer RiosStephenson Cancer Center, University of Oklahoma Health Sciences Center, OK 73104, USA.
Lakhmir ChawlaExThera Medical, Martinez, CA 94553, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite significant strides in the management of metastatic solid tumors over the past few decades, metastatic disease remains a major clinical challenge, often leading to unfavorable patient outcomes. Circulating tumor cells (CTCs), which shed from the primary tumor, have the potential to disseminate and establish distant metastases, contributing to disease progression and reduced survival rates. Removal of CTCs via extracorporeal blood filtration could have significant therapeutic implications. CASE: A 51-year-old woman was diagnosed with metastatic poorly differentiated adenocarcinoma after presenting with severe abdominal pain. She deferred conventional chemotherapy options and elected treatment with CTC removal using an extracorporeal blood filter. After 9-12 filtration sessions of treatment over 12 months, she reported significant clinical improvement and staging scans demonstrated stable disease without evidence of new metastases.

conclusionTherapeutic modalities that explore CTC removal via blood filtration may potentially have promising clinical benefits. More prospective studies are required to determine the utility of this therapeutic strategy in patients with metastatic solid tumors. Our patient demonstrated significant clinical improvement with scans demonstrating stable disease.

Indexed as

AdenocarcinomaAnalgesicsNeoplastic Cells, CirculatingPancreatic NeoplasmsFemaleHumansMiddle AgedNeoplasm StagingTreatment OutcomeAnalgesicscirculating tumor cellsextracorporeal blood filtrationmetastatic pancreatic cancerOncoBindseraph 100

Identifiers

PMID40698924
PMCPMC12285521

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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.