Evidence map›Paper›PMID 32996712›Full record

ArticleCancer cytopathology2021

Evaluation of circulating tumor cell clusters for pan-cancer noninvasive diagnostic triaging.

Andrew Gaya, Timothy Crook, Nicholas Plowman, Anantbhushan Ranade, Sewanti Limaye, Amit Bhatt, Raymond Page, Revati Patil, Pradip Fulmali, Vineet Datta and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer cytopathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

13 authors at 6 institutions in 3 countries.

Andrew GayaHCA Healthcare UK, London, United Kingdom.
Timothy CrookDepartment of Oncology, Broomsfield Hospital, Chelmsford, United Kingdom.
Nicholas PlowmanDepartment of Clinical Oncology, St Bartholomew's Hospital, London, United Kingdom.
Anantbhushan RanadeDepartment of Medical Oncology, Avinash Cancer Clinic, Pune, India.
Sewanti LimayeDepartment of Medical Oncology, Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Mumbai, India.
Amit BhattDepartment of Medical Oncology, Avinash Cancer Clinic, Pune, India.
Raymond PageDepartment of Bioengineering, Worcester Polytechnic Institute, Worcester, Massachusetts.
Revati PatilDepartment of Research and Innovations, Datar Cancer Genetics, Nashik, India.
Pradip FulmaliDepartment of Research and Innovations, Datar Cancer Genetics, Nashik, India.
Vineet DattaDepartment of Research and Innovations, Datar Cancer Genetics, Nashik, India.
Prashant KumarDepartment of Research and Innovations, Datar Cancer Genetics, Nashik, India.
Darshana PatilDepartment of Research and Innovations, Datar Cancer Genetics, Nashik, India.
Dadasaheb AkolkarDepartment of Research and Innovations, Datar Cancer Genetics, Nashik, India.ORCID 0000-0002-4434-488X
Datar Cancer Genetics (India) · INBroomfield Hospital · GBInforma Healthcare · GBKokilaben Dhirubhai Ambani Hospital · INSt Bartholomew's Hospital · GBWorcester Polytechnic Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistopathologic examination (HPE) of tumor tissue obtained by invasive biopsy is the standard for cancer diagnosis but is resource-intensive and has been associated with procedural risks. The authors demonstrate that immunocytochemistry (ICC) profiling of circulating ensembles of tumor-associated cells (C-ETACs) can noninvasively provide diagnostic guidance in solid organ cancers.

methodsThe clinical performance of this approach was tested on blood samples from 30,060 individuals, including 9416 individuals with known cancer; 6725 symptomatic individuals with suspected cancer; and 13,919 asymptomatic individuals with no prior diagnosis of cancer. C-ETACs were harvested from peripheral blood and profiled by ICC for organ-specific and subtype-specific markers relevant to the cancer type. ICC profiles were compared with HPE diagnoses to determine concordance.

resultsThe presence of malignancy was confirmed by the detection of C-ETACs in 91.8% of the 9416 individuals with previously known cancer. Of the 6725 symptomatic individuals, 6025 were diagnosed with cancer, and 700 were diagnosed with benign conditions; C-ETACs were detected in 92.6% of samples from the 6025 individuals with cancer. In a subset of 3509 samples, ICC profiling of C-ETACs for organ-specific and subtype-specific markers was concordant with HPE findings in 93.1% of cases. C-ETACs were undetectable in 95% of samples from the 700 symptomatic individuals who had benign conditions and in 96.3% of samples from the 13,919 asymptomatic individuals.

conclusionsC-ETACs were ubiquitous (>90%) in various cancers and provided diagnostically relevant information in the majority (>90%) of cases. This is the first comprehensive report on the feasibility of ICC profiling of C-ETACs to provide pan-cancer diagnostic guidance with accuracy comparable to that of HPE.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansImmunohistochemistryMaleMiddle AgedNeoplasmsNeoplastic Cells, CirculatingObservational Studies as TopicYoung AdultBiomarkers, Tumorcirculating ensembles of tumor-associated cells (C-ETACs)circulating tumor cells (CTCs)diagnosisdiagnostic triagingliquid biopsynoninvasivesolid organ cancers

Identifiers

PMID32996712
PMCPMC7984349
OpenAlexW3089719435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.