Evidence map›Paper›PMID 36890970›Full record

Article3 Biotech2023

A mechanistic analysis of spontaneous cancer remission phenomenon: identification of genomic basis and effector biomolecules for therapeutic applicability.

Bindu Kumari, Chandrashekhar Sakode, Raghavendran Lakshminarayanan, Pratik Purohit, Anindita Bhattacharjee, Prasun K Roy

Abstract read
In one paragraph

Article in 3 Biotech, 2023. 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. Rare Case of Spontaneous Regression in Primary Gastric Diffuse Large B Cell Lymphoma.The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2025
    Article
  3. 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

6 authors.

Bindu KumariSchool of Bio-Medical Engineering, Indian Institute of Technology (B.H.U.), Varanasi, 221005 India.
Chandrashekhar SakodeDepartment of Applied Sciences, Indian Institute of Information Technology, Nagpur, 44005 India.
Raghavendran LakshminarayananSchool of Computational Sciences, Jawaharlal Nehru University, New Delhi, 110067 India.
Pratik PurohitSchool of Bio-Medical Engineering, Indian Institute of Technology (B.H.U.), Varanasi, 221005 India.
Anindita BhattacharjeeSchool of Bio-Medical Engineering, Indian Institute of Technology (B.H.U.), Varanasi, 221005 India.
Prasun K RoySchool of Bio-Medical Engineering, Indian Institute of Technology (B.H.U.), Varanasi, 221005 India.ORCID 0000-0001-9477-1356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the well-documented studies, numerous tumors episodically regress permanently without treatment. Knowing the host tissue-initiated causative factors would offer considerable translational applicability, as a permanent regression process may be therapeutically replicated on patients. For this, we developed a systems biological formulation of the regression process with experimental verification and identified the relevant candidate biomolecules for therapeutic utility. We devised a cellular kinetics-based quantitative model of tumor extinction in terms of the temporal behavior of three main tumor-lysis entities: DNA blockade factor, cytotoxic T-lymphocyte and interleukin-2. As a case study, we analyzed the time-wise biopsy and microarrays of spontaneously regressing melanoma and fibrosarcoma tumors in mammalian/human hosts. We analyzed the differentially expressed genes (DEGs), signaling pathways, and bioinformatics framework of regression. Additionally, prospective biomolecules that could cause complete tumor regression were investigated. The tumor regression process follows a first-order cellular dynamics with a small negative bias, as verified by experimental fibrosarcoma regression; the bias is necessary to eliminate the residual tumor. We identified 176 upregulated and 116 downregulated DEGs, and enrichment analysis showed that the most significant were downregulated cell-division genes: TOP2A-KIF20A-KIF23-CDK1-CCNB1. Moreover, Topoisomerase-IIA inhibition might actuate spontaneous regression, with collateral confirmation provided from survival and genomic analysis of melanoma patients. Candidate molecules such as Dexrazoxane/Mitoxantrone, with interleukin-2 and antitumor lymphocytes, may potentially replicate permanent tumor regression process of melanoma. To conclude, episodic permanent tumor regression is a unique biological reversal process of malignant progression, and signaling pathway understanding, with candidate biomolecules, may plausibly therapeutically replicate the regression process on tumors clinically. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03515-0.

Indexed as

Dexrazoxane–MitoxantroneFibrosarcomaFirst-order dynamicsInterleukin-2Malignant melanomaNegative biasSpontaneous remission of cancerT cellTOP2A receptor

Identifiers

PMID36890970
PMCPMC9986194

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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.