Evidence map›Paper›PMID 38829582›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Early Evaluation of Risk Stratification and Clinical Outcomes for Patients with Advanced Breast Cancer through Combined Monitoring of Baseline Circulating Tumor Cells and DNA.

Qiang Zhang, Zheng Cai, Lorenzo Gerratana, Andrew A Davis, Paolo D'Amico, Akhil Chawla, Saya Jacob, Youbin Zhang, Jianhua Jiao, Weijun Qin and 4 more

Abstract read
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In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Qiang ZhangDivision of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0000-0002-6633-9547
Zheng CaiBiostatistics Department, University of Washington, Seattle, Washington.ORCID 0009-0001-3938-8511
Lorenzo GerratanaDepartment of Medicine, University of Udine, Udine, Italy.ORCID 0000-0002-8313-4834
Andrew A DavisDivision of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri.ORCID 0000-0003-3663-2133
Paolo D'AmicoEuropean Institute of Oncology (IEO), Milan, Italy.ORCID 0000-0001-9155-425X
Akhil ChawlaDivision of Surgical Oncology, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0000-0003-3122-6873
Saya JacobDivision of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0000-0002-9311-5303
Youbin ZhangDivision of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0009-0001-0920-1533
Jianhua JiaoDepartment of Urology, Xijing Hospital, Innovation Center for Tumor Immunocytology Therapy Technology, Xijing Innovation Research Institute, Fourth Military Medical University, Xi'an, China.ORCID 0000-0003-0227-7401
Weijun QinDepartment of Urology, Xijing Hospital, Innovation Center for Tumor Immunocytology Therapy Technology, Xijing Innovation Research Institute, Fourth Military Medical University, Xi'an, China.ORCID 0000-0002-7509-7164
Carolina ReduzziDivision of Hematology and Medical Oncology, Weill Department of Medicine (WDOM), Cornell University, New York, New York.ORCID 0000-0003-0514-0152
Lisa FlaumDivision of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0009-0007-4837-0640
Ami ShahDivision of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0000-0003-1347-3782
William J GradisharDivision of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.ORCID 0000-0002-2772-3140

Funding

Lynn Sage Breast Cancer Foundation, Robert H. Lurie Cancer Center, Northwestern UniversityNational Natural Science Foundation of China 82220108004
6 · The paper itself

Abstract

purposeEarly evaluation of tumor heterogeneity related to metastasis and outcomes is a major challenge in the management of advanced breast cancer (BCa) in the clinic. In this study, we introduced the value of baseline circulating tumor cells (CTC) and ctDNA for early differentiation of clinical stages, tumor heterogeneity, and prognosis in clinic. EXPERIMENTAL

designA total of 292 patients with BCa were enrolled in this study, including 254 Stage IV and 38 Stage III patients, and examined the baseline levels of CTCs, CTC-clusters, and plasma ctDNA before initiating therapies. Outcomes including progression-free survival (PFS) and overall survival were evaluated using proportional hazards regression analysis.

resultsThe baseline CTCs, including HER2+ CTCs, in Stage IV patients were approximately 9.5 times higher than those detected in Stage III patients. Baseline CTC counts with a cutoff of 5 were significantly associated with the prognosis. Within each stage, patients with <5 CTCs had significantly longer PFS. Stage III patients with no CTCs exhibited the longest survival compared with patients with ≥1 CTC. CTC-clusters were only found in Stage IV patients, among whom 15 Stage IV patients with ≥5 CTC-clusters had the worst PFS compared with the 239 Stage IV patients with <5 CTC-clusters. Similar outcomes were observed in 28 out of 254 Stage IV patients who had at least one CTC-cluster detected, as these patients had shorter PFS compared with CTC-cluster negative group. The major differences in ctDNA mutations between patients with Stage III and Stage IV BCa were in PIK3CA and ESR1, which were associated with specific organ metastasis and worse outcomes.

conclusionsAssessing the baseline levels of CTCs, CTC-clusters, and mutational ctDNA profile could reliably aid in differentiation of clinical stage and early prediction of metastasis and outcomes in advanced BCa.

Indexed as

Biomarkers, TumorBreast NeoplasmsCirculating Tumor DNANeoplasm StagingNeoplastic Cells, CirculatingAdultAgedAged, 80 and overClass I Phosphatidylinositol 3-KinasesErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedMutationPrognosisRisk AssessmentBiomarkers, TumorCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesErb-b2 Receptor Tyrosine KinasesPIK3CA protein, human

Identifiers

What OpenQuestion holds

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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.