Evidence map›Paper›PMID 36172149›Full record

ArticleFrontiers in oncology2022

Case report: Post-therapeutic laryngeal carcinoma patient possessing a high ratio of aneuploid CTECs to CTCs rapidly developed

Jiaoping Mi, Fang Yang, Jiani Liu, Mingyang Liu, Alexander Y Lin, Daisy Dandan Wang, Peter Ping Lin, Qi Zeng

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 4 institutions in 2 countries.

Jiaoping MiDepartment of Otolaryngology-Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Fang YangCancer Center, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Jiani LiuCancer Center, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Mingyang LiuState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Alexander Y LinDepartment of Oncology, Cytelligen, San Diego, CA, United States.
Daisy Dandan WangDepartment of Oncology, Cytelligen, San Diego, CA, United States.
Peter Ping LinDepartment of Oncology, Cytelligen, San Diego, CA, United States.
Qi ZengCancer Center, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Cytel (United States) · USSun Yat-sen University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFifth Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effectively evaluating therapeutic efficacy, detecting minimal residual disease (MRD) after therapy completion, and predicting early occurrence of malignancy in cancer patients remain as unmet imperative clinical demands. This article presents a case of a laryngeal carcinoma patient who had a surgical resection and complete post-operative chemoradiotherapy in combination with the targeted therapy, then rapidly developed pancreatic adenocarcinoma. Detected by SE-iFISH, the patient had a substantial amount of 107 non-hematological aneuploid circulating rare cells including 14 circulating tumor cells (CTCs, CD31

Indexed as

aneuploid CTCs and CTECsliquid biopsyMRDprediction of cancer occurrenceSE-iFISH

Identifiers

PMID36172149
PMCPMC9510919
OpenAlexW4295233458

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.