Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines

Mario Perez-Medina; Jose Sullivan Lopez-Gonzalez; Jesus J. Benito-Lopez; Santiago Ávila-Ríos; Maribel Soto-Nava; Margarita Matias-Florentino; Alfonso Méndez-Tenorio; Miriam Galicia-Velasco; Rodolfo Chavez-Dominguez; Sergio E. Meza-Toledo; Dolores Aguilar-Cazares

doi:10.20944/preprints202403.1686.v1

Submit preprint
How it Works
Instructions for Authors
Subject Areas
Advisory Board
screening preprints
About
Awards
Log in/Register

Instructions for Authors
Awards
About
FAQ
Submit Log in/Register

Share this article with

Create alert

Email:

Load new image

preprints.org > biology and life sciences > biochemistry and molecular biology > doi: 10.20944/preprints202403.1686.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines

Mario Perez-Medina

Jose Sullivan Lopez-Gonzalez

Jesus J. Benito-Lopez

Santiago Ávila-Ríos

Maribel Soto-Nava

Margarita Matias-Florentino

Alfonso Méndez-Tenorio

Miriam Galicia-Velasco

Rodolfo Chavez-Dominguez

Sergio E. Meza-Toledo

Dolores Aguilar-Cazares

Version 1 : Received: 19 March 2024 / Approved: 27 March 2024 / Online: 28 March 2024 (12:16:57 CET)

How to cite: Perez-Medina, M.; Lopez-Gonzalez, J.S.; Benito-Lopez, J.J.; Ávila-Ríos, S.; Soto-Nava, M.; Matias-Florentino, M.; Méndez-Tenorio, A.; Galicia-Velasco, M.; Chavez-Dominguez, R.; Meza-Toledo, S.E.; Aguilar-Cazares, D. Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines. Preprints 2024, 2024031686. https://doi.org/10.20944/preprints202403.1686.v1 Perez-Medina, M.; Lopez-Gonzalez, J.S.; Benito-Lopez, J.J.; Ávila-Ríos, S.; Soto-Nava, M.; Matias-Florentino, M.; Méndez-Tenorio, A.; Galicia-Velasco, M.; Chavez-Dominguez, R.; Meza-Toledo, S.E.; Aguilar-Cazares, D. Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines. Preprints 2024, 2024031686. https://doi.org/10.20944/preprints202403.1686.v1

Cite

Export citation file: Bib TeX | RIS

MDPI and ACS Style

Perez-Medina, M.; Lopez-Gonzalez, J.S.; Benito-Lopez, J.J.; Ávila-Ríos, S.; Soto-Nava, M.; Matias-Florentino, M.; Méndez-Tenorio, A.; Galicia-Velasco, M.; Chavez-Dominguez, R.; Meza-Toledo, S.E.; Aguilar-Cazares, D. Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines. Preprints 2024, 2024031686. https://doi.org/10.20944/preprints202403.1686.v1

APA Style

Perez-Medina, M., Lopez-Gonzalez, J.S., Benito-Lopez, J.J., Ávila-Ríos, S., Soto-Nava, M., Matias-Florentino, M., Méndez-Tenorio, A., Galicia-Velasco, M., Chavez-Dominguez, R., Meza-Toledo, S.E., & Aguilar-Cazares, D. (2024). Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines. Preprints. https://doi.org/10.20944/preprints202403.1686.v1

Chicago/Turabian Style

Perez-Medina, M., Sergio E. Meza-Toledo and Dolores Aguilar-Cazares. 2024 "Transcriptomic Analysis Reveals Early Alterations Associated with Intrinsic Resistance to Target Therapy in Lung Adenocarcinoma Cell Lines" Preprints. https://doi.org/10.20944/preprints202403.1686.v1

Abstract

Lung adenocarcinoma is the most prevalent form of lung cancer, and drug resistance is a significant obstacle in its treatment. This study aimed to investigate the overexpression of long non-coding RNAs (lncRNAs) as a mechanism that promotes intrinsic resistance in tumor cells from the onset of treatment. Drug-tolerant persister cells (DTP) are a subset of cancer cells that survive and proliferate after exposure to therapeutic drugs, making them an essential object of study for cancer treatment. The molecular mechanisms underlying DTP cell survival are not fully understood; however, long non-coding RNAs (lncRNAs) have been proposed to play a crucial role. DTP cells from lung adenocarcinoma cell lines were obtained after a single exposure to tyrosine kinase inhibitor TKIs (erlotinib or osimertinib). After establishing DTPs, RNA sequencing was performed to investigate the differential expression of the lncRNAs. Some lncRNAs and one mRNA were found to be overexpressed in DTP cells. The clinical relevance of lncRNAs was evaluated in a cohort of patients with lung adenocarcinoma from The Cancer Genome Atlas (TCGA). RT-qPCR validated the overexpression of lncRNAs and mRNA in residual DTP cells and LUAD biopsies. Knockdown of these lncRNAs increases the sensitivity of DTP cells to therapeutic drugs. This study provides an opportunity to investigate the involvement of lncRNAs in the genetic and epigenetic mechanisms underlying intrinsic resistance. The identified lncRNAs and CD74 mRNA may serve as potential prognostic markers or therapeutic targets to improve the overall survival of patients with lung cancer.

Keywords

lung adenocarcinoma; drug-tolerant persister (DTP) cells; intrinsic resistance; tyrosine kinase inhibitors (TKIs); erlotinib; osimertinib; senescent cells; CD74

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download PDF Download Supplementary

Comments (0)

Not displayed online.

Importance: How significant is the paper to the field?

Outstanding/highlight paper

Significant contribution

Incremental contribution

No contribution

I am not qualified to judge

Soundness of evidence/arguments presented:

Conclusions well supported

Most conclusions supported (minor revision needed)

Incomplete evidence (major revision needed)

Hypothesis, unsupported conclusions, or proof-of-principle

I am not qualified to judge

Please leave your comment to this article below.

Mathematical equations can be typed in either LaTeX formats \\[ ... \\] or $$ ... $$, or MathML format <math> ... </math>. Try the LaTeX or MathML example.

Type equation:

Preview:

Copy equation into message below

Close menu

Please click a symbol to insert it into the message box below:

Please enter the link here:

Please enter a valid URL

Optionally, you can enter text that should appear as linked text:

Copy link into message below

Close menu

Please enter or paste the URL to the image here (please only use links to jpg/jpeg, png and gif images):

Please enter a valid URL

Copy image into message below

Close menu

Type author name or keywords to filter the list of references in this group (you can add a new citation under Bibliography):

No existing citations in Discussion Group

Wikify editor is a simple editor for wiki-style mark-up. It was written by MDPI for Sciforum in 2014. The rendering of the mark-up is based on Wiky.php with some tweaks. Rendering of mathematical equations is done with MathJax. Please send us a message for support or for reporting bugs.

Close menu

Please declare any conflicts of interest you may have with this paper, financial or otherwise.

I do not have a conflict of interest

I would like to declare a conflict of interest

Display my name on the website Send my name and email address to the authors

Captcha

Renew

I accept the following conditions:

Comments must follow the standards of professional discourse and should focus on the scientific content of the article. Insulting or offensive language, personal attacks and off-topic remarks will not be permitted. Comments must be written in English. Preprints reserves the right to remove comments without notice. Readers who post comments are obliged to declare any competing interests, financial or otherwise.

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)

* All users must log in before leaving a comment

what’s this?

Add a record of this review to Publons to track and showcase your reviewing expertise across the world’s journals.

Downloads 0

Comments 0

Metrics 0

Get PDF Supplementary Files Cite Share 0

Bookmark BibSonomy Mendeley Reddit Delicious

Alerts

Notify me about updates to this article or when a peer-reviewed version is published.

Preprints.org is a free preprint server subsidized by MDPI in Basel, Switzerland.

MDPI Initiatives

SciProfiles
Sciforum
Encyclopedia
MDPI Books
Scilit
Proceedings
JAMS

Important links

How it Works
Advisory Board
FAQ
Friendly Journals
Instructions for Authors
About
Statistics

Choose the area that interest you and we will send you notifications of new preprints at your preferred frequency.

Disclaimer

We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.

RSS feed for

Preprints: The Multidisciplinary Preprint Platform

Paste the URL in your RSS reader:

https://www.preprints.org/rss

If you want to subscribe our website in subject-wide, you could find the URL by choosing in the following:

https://www.preprints.org/rss

Please note that by using ScienceDirect RSS feeds, you agree to our Terms of Use and Privacy Policy.