Evidence map›Paper›PMID 41681862›Full record

ReviewCancers2026

Real-Time Therapy Response Monitoring Using Surface Biomarkers on Circulating Tumor Cells.

Saloni Andhari, Jaspreet Farmaha, Ashutosh Vashisht, Vishakha Vashisht, Jana Woodall, Ashis K Mondal, Kimya Jones, Ajay Pandita, Gowhar Shafi, Mohan Uttarwar and 2 more

Abstract readReview
In one paragraph

Review in Cancers, 2026. 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
  2. Review
  3. Review
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.

Saloni AndhariDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0001-8115-4519
Jaspreet FarmahaDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0001-8072-7637
Ashutosh VashishtDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Vishakha VashishtDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Jana WoodallDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ashis K MondalDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0003-3826-9489
Kimya JonesDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ajay Pandita1Cell.Ai, 320 Hatch Drive, Foster City, CA 94404, USA.ORCID 0000-0002-6157-1355
Gowhar Shafi1Cell.Ai, Wakad, Pune 411057, India.
Mohan Uttarwar1Cell.Ai, Wakad, Pune 411057, India.
Jayant Khandare1Cell.Ai, Wakad, Pune 411057, India.
Ravindra KolheDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0002-8283-2403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are shed from the primary tumor into the bloodstream and represent dynamic molecular biomarkers for monitoring the progression of cancer. While profiling tumor tissues with over expression of cell surface markers, such as PD-L1 or HER2, is standard in guiding therapy, tissue samples are often inaccessible and inadequate, especially post-surgery or in cases of recurrence. Emerging clinical evidence indicates that CTC counts and biomarker surface expression can predict prognosis and therapeutic resistance more accurately than imaging or tissue-based approaches. Recent advancements in the CTC detection methods, based on physical properties or surface markers (e.g., EpCAM), coupled with next-generation sequencing (NGS) have enabled the isolation of these rare cells and their molecular characterization. Consequently, CTCs provide a real-time alternative, enabling repeated, longitudinal assessment of tumor phenotype and therapeutic response. This review emphasizes the translational potential of surface protein biomarkers on CTCs for profiling, namely PD-L1, HER2, and EGFR, as a clinically actionable approach to stratify patients, guide immunotherapy decisions, and monitor minimal residual disease (MRD), especially when longitudinal tissue biopsies are not feasible.

Indexed as

circulating tumor cellscirculating tumor DNAminimal residual diseasesurface biomarkers

Identifiers

PMID41681862
PMCPMC12896962

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.