Evidence map›Paper›PMID 30728668›Full record

ReviewIndian journal of clinical biochemistry : IJCB2019

Single Cell Omics of Breast Cancer: An Update on Characterization and Diagnosis.

Shailendra Dwivedi, Purvi Purohit, Radhieka Misra, Malavika Lingeswaran, Jeewan Ram Vishnoi, Puneet Pareek, Sanjeev Misra, Praveen Sharma

Open access · bronzeAbstract readReview
In one paragraph

Review in Indian journal of clinical biochemistry : IJCB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Tumor-Associated Macrophage in Breast Tumor Microenvironment.International journal of molecular sciences · 2025
    Review
  3. Article
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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

8 authors at 2 institutions in 1 country.

Shailendra Dwivedi1Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, 342005 India.
Purvi Purohit1Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, 342005 India.
Radhieka Misra2Under-graduate Medical Scholar, Era's Lucknow Medical College and Hospital, Lucknow, 226003 India.
Malavika Lingeswaran1Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, 342005 India.
Jeewan Ram Vishnoi3Department of Surgical Oncology, All India Institute of Medical Sciences, Jodhpur, 342005 India.
Puneet Pareek4Department of Radio-Therapy, All India Institute of Medical Sciences, Jodhpur, 342005 India.
Sanjeev Misra3Department of Surgical Oncology, All India Institute of Medical Sciences, Jodhpur, 342005 India.
Praveen Sharma1Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, 342005 India.
All India Institute of Medical Sciences Jodhpur · INEra's Lucknow Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is recognized for its different clinical behaviors and patient outcomes, regardless of common histopathological features at diagnosis. The heterogeneity and dynamics of breast cancer undergoing clonal evolution produces cells with distinct degrees of drug resistance and metastatic potential. Presently, single cell analysis have made outstanding advancements, overshadowing the hurdles of heterogeneity linked with vast populations. The speedy progression in sequencing analysis now allow unbiased, high-output and high-resolution elucidation of the heterogeneity from individual cell within a population. Classical therapeutics strategies for individual patients are governed by the presence and absence of expression pattern of the estrogen and progesterone receptors and human epidermal growth factor receptor 2. However, such tactics for clinical classification have fruitfulness in selection of targeted therapies, short-term patient responses but unable to predict the long-term survival. In any phenotypic alterations, like breast cancer disease, molecular signature have proven its implication, as we aware that individual cell's state is regulated at diverse levels, such as DNA, RNA and protein, by multifaceted interplay of intrinsic biomolecules pathways existing in the organism and extrinsic stimuli such as ambient environment. Thus for complete understanding, complete profiling of single cell requires a synchronous investigations from different levels (multi-omics) to avoid incomplete information produced from single cell. In this article, initially we briefed on novel updates of various methods available to explore omics and then we finally pinpointed on various omics (i.e. genomics, transcriptomics, epigenomics, proteomics and metabolomics) data and few special aspects of circulating tumor cells, disseminated tumor cells and cancer stem cells, so far available from various studies that can be used for better management of breast cancer patients.

Indexed as

GenomicsMolecular sub-typing of breast cancerProteomicsSingle cell omicsTranscriptomics

Identifiers

PMID30728668
PMCPMC6346617
OpenAlexW2910445721

What OpenQuestion holds

Textmetadata
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.