Pinterest
NewsLetter DailyWeekly
 
My HanCinema | Sign up, Why ? Your E-mail   Password    Auto| Help
HanCinema :: The Korean Movie and Drama Database, discover the South Korean cinema and drama diversity Contact HanCinema HanCinema on TwitterFaceBook HanCinema PageHanCinema on Twitter

[Spoiler] "Rich Man, Poor Woman" Suho Makes Ha Yeon-soo and Oh Chang-suk Nervous

2018/05/17 | 414 views | Permalink | Source

On the latest episode of the MBN drama "Rich Man, Poor Woman", Lee Yoo-chan (Suho) is the icon of making one's own fortune for he created Nest In, a 2 trillion won company with only his genius and ideas. In addition, he's good looking and everyone wants to know not just about his business ideas, but his private life too.

However, a layer of his appeal was pulled away when he seemed too arrogant for his own good and looked a bit too relaxed during an interview. However, he had another interview.

In the picture, Lee Yoo-chan changed into a grey suit and not the casual wear he's always in at Nest In.

He gives off a different atmosphere compared to Kim Bo-ra (Ha Yeon-soo) and Min Tae-joo (Oh Chang-suk) who are watching him. Kim Bo-ra looks especially nervous.

Source : www.asiatoday.co.kr/v...

Copy & paste guideline for this article
Always put a link back to the source and HanCinema permalink

Creative Commons License"[Spoiler] "Rich Man, Poor Woman" Suho Makes Ha Yeon-soo and Oh Chang-suk Nervous "
by HanCinema is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.
Based on a work from this source

Attention You're reading the news with potential spoilers, make them spoiler free, dismiss


 

 

 Previous news

Subscribe to HanCinema Pure to remove ads from the website (not for episode and movie videos) for US$0.99 monthly or US$7.99 yearly (you can cancel anytime). The first step is to be a member, please click here : Sign up, then a subscribe button will show up.

Settings

Remove ads

Sign up

Sharing

Activate

Spoilers

Visible, hide

Learn to read Korean in 90 minutes or less using visual associations